17 research outputs found
MIMO CDMA-based Optical SATCOMs: A New Solution
A new scheme for MIMO CDMA-based optical satellite communications (OSATCOMs)
is presented. Three independent problems are described for up-link and down-
link in terms of two distinguished optimization problems. At first, in up-link,
Pulse-width optimization is proposed to reduce dispersions over fibers as the
terrestrial part. This is performed for return-to-zero (RZ) modulation that is
supposed to be used as an example in here. This is carried out by solving the
first optimization problem, while minimizing the probability of overlapping for
the Gaussian pulses that are used to produce RZ. Some constraints are assumed
such as a threshold for the peak-to-average power ratio (PAPR). In down-link,
the second and the third problems are discussed as follows, jointly as a
closed-form solution. Solving the second optimization problem, an objective
function is obtained, namely the MIMO CDMA-based satellite weight-matrix as a
conventional adaptive beam-former. The Satellite link is stablished over flat
un-correlated Nakagami-m/Suzuki fading channels as the second problem. On the
other hand, the mentioned optimization problem is robustly solved as the third
important problem, while considering inter-cell interferences in the multi-cell
scenario. Robust solution is performed due to the partial knowledge of each
cell from the others in which the link capacity is maximized. Analytical
results are conducted to investigate the merit of system.Comment: IEEE PCITC 2015 (15-17 Oct, India
Combined turbo coding and interference rejection for DS-CDMA.
Thesis (Ph.D.)-University of KwaZulu-Natal, Durban, 2004.This dissertation presents interference cancellation techniques for both the Forward Error
Correction (FEC) coded and the uncoded Direct Sequence Code Division Multiple
Access (DS-CDMA) systems. Analytical models are also developed for the adaptive and
the non-adaptive Parallel Interference Cancellation (PlC) receivers. Results that are
obtained from the computer simulations of the PlC receiver types confirm the accuracy of
the analytical models that are developed. Results show that the Least Mean Square
(LMS) algorithm based adaptive PlC receivers have bit error rate performances that are
better than those of the non-adaptive PlC receivers.
In the second part of this dissertation, a novel iterative multiuser detector for the Turbo
coded DS-CDMA system is developed. The performance of the proposed receiver in the
multirate CDMA system is also investigated. The developed receiver is found to have an
error rate performance that is very close to the single user limit after a few numbers of
iterations. The receiver is also resilient against the near-far effect. A methodology is also
presented on the use of the Gaussian approximation method in the convergence analysis
of iterative interference cancellation receivers for turbo coded DS-CDMA systems
Advances in parameter estimation, source enumeration, and signal identification for wireless communications
Parameter estimation and signal identification play an important role in modern wireless
communication systems. In this thesis, we address different parameter estimation
and signal identification problems in conjunction with the Internet of Things (IoT),
cognitive radio systems, and high speed mobile communications.
The focus of Chapter 2 of this thesis is to develop a new uplink multiple access
(MA) scheme for the IoT in order to support ubiquitous massive uplink connectivity
for devices with sporadic traffic pattern and short packet size. The proposed uplink
MA scheme removes the Media Access Control (MAC) address through the signal
identification algorithms which are employed at the gateway.
The focus of Chapter 3 of this thesis is to develop different maximum Doppler
spread (MDS) estimators in multiple-input multiple-output (MIMO) frequency-selective
fading channel. The main idea behind the proposed estimators is to reduce the computational
complexity while increasing system capacity.
The focus of Chapter 4 and Chapter 5 of this thesis is to develop different antenna
enumeration algorithms and signal-to-noise ratio (SNR) estimators in MIMO timevarying
fading channels, respectively. The main idea is to develop low-complexity
algorithms and estimators which are robust to channel impairments.
The focus of Chapter 6 of this thesis is to develop a low-complexity space-time
block codes (STBC)s identification algorithms for cognitive radio systems. The goal
is to design an algorithm that is robust to time-frequency transmission impairments
Design and Analysis of OFDM System for Powerline Based Communication
Research on digital communication systems has been greatly developed in the past few years and offers a high quality of transmission in both wired and wireless communication environments. Coupled with advances in new modulation techniques, Orthogonal Frequency Division Multiplexing (OFDM) is a well-known digital multicarrier communication technique and one of the best methods of digital data transmission over a limited bandwidth.
The main aim of this research is to design an OFDM modem for powerline-based communication in order to propose and examine a novel approach in comparing the different modulation order, different modulation type, application of Forward Error Correction (FEC) scheme and also application of different noise types and applying them to the two modelled channels, Additive White Gaussian Noise (AWGN) and Powerline modelled channel. This is an attempt to understand and recognise the most suitable technique for the transmission of message or image within a communication system. In doing so, MATLAB and embedded Digital Signal Processing (DSP) systems are used to simulate the operation of virtual transmitter and receiver.
The simulation results presented in this project suggest that lower order modulation formats (Binary Phase Shift Keying (BPSK) and 4-Quadrature Amplitude Modulation (QAM)), are the most preferred modulation techniques (in both type and order) for their considerable performance. The results also indicated that, Convolutional Channel Encoding (CCE)-Soft and Block Channel Encoding (BCE)-Soft are by far the best encoding techniques (in FEC type) for their best performance in error detection and correction. Indeed, applying these techniques to the two modelled channels has proven very successful and will be accounted as a novel approach for the transmission of message or image within a powerline based communication system
Cooperative Communications with Partial Channel State Information in Mobile Radio Systems
Future 4G mobile radio cellular networks are considered OFDM-MIMO systems. Cooperative communication based on coordinated base stations is a very promising concept to perform inter-cell interference management. This thesis deals with the concept of cooperative communication from its information-theoretic background to its practical system design. The main focus is a practical design of the joint detection scheme in the uplink and the joint transmission scheme in the downlink with partial channel-state information (CSI), i.e., significant CSI and imperfect CSI.Zukünftige zellulare 4G-Mobilfunksysteme können als OFDM-MIMO-Systeme betrachtet werden. In solchen zukünftigen Mobilfunksystemen ist kooperative Kommunikation, basierend auf koordinierten Basisstationen, ein sehr vielversprechendes Konzept zum Interzellinterferenzmanagement. Die vorliegende Arbeit behandelt das Konzept der kooperativen Kommunikation vom informationstheoretischen Hintergrund bis hin zum praktischen Systemdesign. Der Schwerpunkt der vorliegenden Arbeit liegt auf dem praktischen Design kooperativer Kommunikationssysteme mit partieller Kanalkenntnis
Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm
Resource allocation (RA) techniques should be made efficient and optimized in order to enhance the QoS (power & bit, capacity, scalability) of high-speed networking data applications. This research attempts to further increase the efficiency towards near-optimal performance. RA’s problem involves assignment of subcarriers, power and bit amounts for each user efficiently. Several studies conducted by the Federal Communication Commission have proven that conventional RA approaches are becoming insufficient for rapid demand in networking resulted in spectrum underutilization, low capacity and convergence, also low performance of bit error rate, delay of channel feedback, weak scalability as well as computational complexity make real-time solutions intractable. Mainly due to sophisticated, restrictive constraints, multi-objectives, unfairness, channel noise, also unrealistic when assume perfect channel state is available. The main goal of this work is to develop a conceptual framework and mathematical model for resource allocation using Shuffled Frog-Leap Algorithm (SFLA). Thus, a modified SFLA is introduced and integrated in Orthogonal Frequency Division Multiplexing (OFDM) system. Then SFLA generated random population of solutions (power, bit), the fitness of each solution is calculated and improved for each subcarrier and user. The solution is numerically validated and verified by simulation-based powerline channel. The system performance was compared to similar research works in terms of the system’s capacity, scalability, allocated rate/power, and convergence. The resources allocated are constantly optimized and the capacity obtained is constantly higher as compared to Root-finding, Linear, and Hybrid evolutionary algorithms. The proposed algorithm managed to offer fastest convergence given that the number of iterations required to get to the 0.001% error of the global optimum is 75 compared to 92 in the conventional techniques. Finally, joint allocation models for selection of optima resource values are introduced; adaptive power and bit allocators in OFDM system-based Powerline and using modified SFLA-based TLBO and PSO are propose
Multiuser non coherent massive MIMO schemes based on DPSK for future communication systems
The explosive usage of rich multimedia content in wireless devices has overloaded the
communication networks. Moreover, the fifth generation (5G) of wireless communications
involves new requirements in the radio access network (RAN) which require higher network
capacities and new capabilities such as ultra-reliable and low-latency communication
(URLLC), vehicular communications or augmented reality. All this has encouraged a remarkable
spectrum crisis in the RF bands. A need for searching alternative techniques
with more spectral efficiency to accommodate the needs of future emerging wireless communications
is emerging. In this context, massive MIMO (m-MIMO) systems have been
proposed as a promising solution for providing a substantial increase in the network capacity,
becoming one of the key enabling technologies for 5G and beyond. m-MIMO
provides high spectral- and energy-efficiency thanks to the deployment of a large number
of antennas at the BS. However, we have to take into account that the current communication
technologies are based on coherent transmission techniques so far, which require
the transmission of a huge amount of signaling. This drawback is escalating with the
excessive available number of antennas in m-MIMO. Therefore, the differential encoding
and non coherent (NC) detection are an alternative solution to circumvent the drawbacks
of m-MIMO in coherent systems. This Ph.D. Thesis is focused on signal processing
techniques for NC detection in conjunction with m-MIMO, proposing new constellation
designs and NC detection algorithms, where the information is transmitted in the signal
differential phase.
First, we design new constellation schemes for an uplink multiuser NC m-MIMO system
in Rayleigh fading channels. These designs allow us to separate the users' signals
at the receiver thanks to a one-to-one correspondence between the constellation for each
user and the received joint constellation. Two approaches are considered in terms of BER:
each user achieves a different performance and, on the other hand, the same performance
is provided for all users. We analyze the number of antennas needed for those designs
and compare to the required number by other designs in the literature. It is shown that
our designs based on DPSK require a lower number of antennas than that required by
their counterpart schemes based on energy. In addition, we compare the performance to
their coherent counterpart systems, resulting NC-m-MIMO based on DPSK capable of
outperforming the coherent systems with the suitable designs.
Second, in order to reduce the number of antennas required for a target performance
we propose a multi-user bit interleaved coded modulation - iterative decoding (BICM-ID) scheme as channel coding for a NC-m-MIMO system based on DPSK. We propose a novel
NC approach for calculating EXIT curves based on the number of antennas. Then using
the EXIT chart we find the best channel coding scheme for our NC-m-MIMO proposal.
We show that the number of users served by the BS can be increased with a 70% reduction
in the number of antennas with respect to the case without channel coding. In particular,
we show that with 100 antennas for error protection equal design for all users and a coding
rate of 1/2 we achieve the minimum probability of error.
Third, we consider that current scenarios such as backhaul wireless systems, rural
or suburban environments, and even new device-to-device (D2D) communications or the
communications in higher frequencies (millimeter and the emerging ones in terahertz frequencies)
can have a predominant line-of-sight (LOS) component, modeled by Rician
fading. For all these new possible scenarios in 5G, we analyze the behavior of the NC
m-MIMO systems when we have a Rician fading. We present a new constellation design
to overcome the problem of the LOS channel component, as well as an associated detection
algorithm to separate each user in reception taking into account the characterization
of the constellation. In addition, for contemplating a more realistic scenario, we propose
grouping users which experience a Rayleigh fading with those with Rician fading, analyzing
the SINR and the performance of such combination in a multi-user NC m-MIMO
system based on M-DPSK. The adequate user grouping allows unifying the constellation
for both groups of users and the detection algorithm, reducing the complexity of the
receiver. Also, the number of users that may be multiplexed may be further increased
thanks to the improved performance.
In the fourth part of this Thesis, we analyse the performance of multi-user NC m-
MIMO based on DPSK in real environments and practical channels defined for the current
standards such as LTE, the future technologies such as 5G and even for communications
in the terahertz band. For this purpose, we use a metric to model the time-varying characteristics
of the practical channels. We employ again the EXIT charts tool for analyzing
and designing iteratively decoded systems. This analysis allows us to obtain an estimate
of the degradation of the system's performance imposed by realistic channels. Hence, we
show that our proposed system is robust to temporal variations, thus it is more recommendable
the employment of NC-m-MIMO-DPSK in the future communication standards
such as 5G. In order to reduce he number of hardware resources required in terms of RF
chains, facilitating its implementation in a real system, we propose incorporating differential
spatial modulation (DSM). We present and analyze a novel multiuser scheme for
NC-m-MIMO combined with DSM with which we can see that the number of antennas
is not a
affected by the incorporation of DSM, even we have an improvement on the
performance with respect to the coherent case.
Finally, we study the viability of multiplexing users by constellation schemes against
classical multiplexing techniques such as time division multiple access (TDMA). In order
to fully characterize the system performance we analyze the block error rate (BLER)
and the throughput of a NC-m-MIMO system. The results show a significant advantage
regarding the number of antennas for multiplexing in the constellation against TDMA.
However, in some cases, the demodulation of multiple users in constellation could require
an excessively large number of antennas compared to TDMA. Therefore, it is necessary to
properly manage the tradeoff
between throughout and the number of antennas, to reach
an optimal operational point, as shown in this Thesis.El inmenso uso de contenido multimedia en los dispositivos inalámbricos ha sobrecargado
las redes de comunicaciones. Además, la quinta generación (5G) de sistemas de
comunicaciones demanda nuevos requisitos para la red de acceso radio, la cual requiere
ofrecer capacidades de red mayores y nuevas funcionalidades como comunicaciones ultra
fiables y con muy poca letancia (URLLC), comunicaciones vehiculares o aplicaciones
como la realidad aumentada. Todo esto ha propiciado una crisis notable en el espectro
electromagnético, lo que ha llevado a una necesidad por buscar técnicas alternativas con
más eficiencia espectral para acomodar todos los requisitos de las tecnologías de comunicaciones
emergentes y futuras. En este contexto, los sistemas multi antena masivos,
conocidos como massive MIMO, m-MIMO, han sido propuestos como una solución prometedora
que proporciona un incremento substancial de la capacidad de red, convirtiéndose
en una de las tecnologías claves para el 5G. Los sistemas m-MIMO elevan enormemente el
número de antenas en la estación base, lo que les permite ofrecer alta eficiencia espectral
y energética. No obstante, tenemos que tener en cuenta que las actuales tecnologías de comunicaciones
emplean técnicas coherentes, las cuales requieren de información del estado
del canal y por ello la transmisión de una enorme cantidad de información de señalización.
Este inconveniente se ve agravado en el caso del m-MIMO debido al enorme número de
antenas. Por ello, la codificación diferencial y la detección no coherente (NC) son una
solución alternativa para solventar el problema de m-MIMO en los sistemas coherentes.
Esta Tesis se centra en las técnicas de procesado de señal para detección NC junto con
m-MIMO, proponiendo nuevos esquemas de constelación y algoritmos de detección NC,
donde la información sea transmitida en la diferencia de fase de la señal.
Primero, diseñamos nuevas constelaciones para un sistema multi usuario NC en m-
MIMO en enlace ascendente (uplink) en canales con desvanecimiento tipo Rayleigh. Estos
diseños nos permiten separar las señales de los usuarios en el receptor gracias a la correspondencia
unívoca entre la constelación de cada usuario individual y la constelación
conjunta recibida en la estación base. Hemos considerado dos enfoques para el diseño en
términos de probabilidad de error: cada usuario consigue un rendimiento distinto, mientras
que por otro lado, todos los usuarios son capaces de recibir las mismas prestaciones
de probabilidad de error. Analizamos el número de antenas necesario para estos diseños y
comparamos con el número requerido por otros diseños propuestos en la literatura. Nuestro
diseño basado en DPSK requiere un número menor de antenas comparado con los
sistemas basados en detección de energía. También comparamos con su homólogo coherente, resultando que NC-m-MIMO basado en DPSK es capaz de superar a los sistemas
coherentes con los diseños adecuados.
En segundo lugar, para reducir el número de antenas requerido para un rendimiento
dado, proponemos incluir un esquema de codificación de canal. Hemos optado por un
esquema de modulación codificado por bit entrelazado y decodificación iterativa (BICMID).
Hemos empleado la herramienta EXIT chart para el diseño de la codificación de canal,
proponiendo un nuevo enfoque para calcular las curvas EXIT de forma NC y basadas en
el número de antenas. Los resultados muestran que el número de usuarios servidos por
la estación base puede ser incrementado reduciendo un 70% el número de antenas con
respecto al caso sin codificación de canal. En particular, para un array de 100 antenas
y un diseño que ofrezca iguales prestaciones a todos los usuarios, con un código de tasa
1=2, podemos conseguir la mínima probabilidad de error.
En tercer lugar, consideramos escenarios donde el canal tenga una componente predominante
de visión directa (LOS) con la estación base modelada mediante un desvanecimiento
tipo Rician. Por ejemplo, sistemas inalámbricos de backhaul, entornos rurales
o sub urbanos, comunicaciones entre dispositivos (D2D), también cuando nos movemos
hacia frecuencias superiores como son en la banda de milimétricas o más recientemente,
la banda de terahercios para buscar mayores anchos de banda. Todos estos escenarios
están contemplados en el futuro 5G. Los diseños presentados para canales Rayleigh ya no
son válidos debido a la componente LOS del canal, por ello presentamos un nuevo diseño de constelación que resuelve el problema de la componente LOS, así como una guía para
diseñar nuevas constelaciones. También proponemos un algoritmo asociado al diseñno de
la constelación para poder separar a los usuarios en recepción. Además, para contemplar
un escenario más realista donde podamos encontrar tanto desvanecimiento Rayleigh como
Rice, proponemos agrupar usuarios de ambos grupos, analizando su rendimiento y relación
señal a interferencia en la combinación. El adecuado agrupamiento permite unificar el
diseño de la constelación para ambos desvanecimientos y por tanto reducir la complejidad
en el receptor. También, el número de usuarios multiplicados en la constelación podría
ser incrementado, gracias a la mejora en el rendimiento.
El cuarto módulo de esta tesis es dedicado a analizar el rendimiento de los diseños
propuestos en presencia de canales reales, donde disponemos de variabilidad temporal y en
frecuencia. Proponemos usar una métrica que modela las características de la variabilidad
temporal y, usando de nuevo la herramienta EXIT, analizamos los sistemas decodificados
iterativamente considerando ahora los parámetros prácticos del canal. Este análisis nos
permite obtener una estimación de la degradación que sufre el rendimiento del sistema
impuesto por canales reales. Los resultados muestran que los sistemas NC-m-MIMO basados
en DPSK son muy robustos a la variabilidad temporal por lo que son recomendables
para los nuevos escenarios propuestos por el 5G, donde el canal cambia rápidamente.
Otra consideración para introducir los sistemas NC con m-MIMO es la problemática
de necesitar muchas cadenas de radio frecuencia que llevarían a tamaños de dispositivos
enormes. Para reducir este número se propone la modulación espacial. En esta Tesis,
estudiamos su uso con los sistemas NC, proponiendo una solución de modulación espacial
diferencial para esquemas con múltiples usuarios combinado con NC-m-MIMO.
Finalmente, estudiamos la viabilidad de multiplexar usuarios en la constelación frente
a usar técnicas clásicas de multiplexación como TDMA. Para caracterizar completamente
el rendimiento del sistema, analizamos la tasa de error de bloque (BLER) y el throughput
de un sistema NC-m-MIMO. Los resultados muestran una ventaja significativa en cuanto
al número de antennas para multiplexar usuarios en la constelación frente al requerido
por TDMA. No obstante, en algunos casos, la demodulación de múltiples usuarios en
la constelación podría requerir un número de antennas excesivamente grande comparado
con la multiplexación en el tiempo. Por ello, es necesario gestionar adecuadamente un
balance entre el throughput y el número de antenas para alcanzar un punto operacional
óptimo, como se muestra en esta Tesis.Programa Oficial de Doctorado en Multimedia y Comunicaciones por la Universidad Carlos III de Madrid y la Universidad Rey Juan CarlosPresidente: Ana Isabel Pérez Neira.- Secretario: Máximo Morales Céspedes.- Vocal: María del Carmen Aguayo Torre
Ultra Wideband Communications: from Analog to Digital
Ultrabreitband-Signale (Ultra Wideband [UWB]) können einen
signifikanten Nutzen im Bereich drahtloser Kommunikationssysteme haben. Es
sind jedoch noch einige Probleme offen, die durch Systemdesigner und
Wissenschaftler gelöst werden müssen. Ein Funknetzsystem mit einer derart
großen Bandbreite ist normalerweise auch durch eine große Anzahl an
Mehrwegekomponenten mit jeweils verschiedenen Pfadamplituden
gekennzeichnet. Daher ist es schwierig, die zeitlich verteilte Energie
effektiv zu erfassen. Außerdem ist in vielen Fällen der naheliegende
Ansatz, ein kohärenter Empfänger im Sinne eines signalangepassten Filters
oder eines Korrelators, nicht unbedingt die beste Wahl. In der vorliegenden
Arbeit wird dabei auf die bestehende Problematik und weitere
Lösungsmöglichkeiten eingegangen.
Im ersten Abschnitt geht es um „Impulse Radio UWB”-Systeme mit
niedriger Datenrate. Bei diesen Systemen kommt ein inkohärenter Empfänger
zum Einsatz. Inkohärente Signaldetektion stellt insofern einen
vielversprechenden Ansatz dar, als das damit aufwandsgünstige und robuste
Implementierungen möglich sind. Dies trifft vor allem in Anwendungsfällen
wie den von drahtlosen Sensornetzen zu, wo preiswerte Geräte mit langer
Batterielaufzeit nötigsind. Dies verringert den für die Kanalschätzung
und die Synchronisation nötigen Aufwand, was jedoch auf Kosten der
Leistungseffizienz geht und eine erhöhte Störempfindlichkeit gegenüber
Interferenz (z.B. Interferenz durch mehrere Nutzer oder schmalbandige
Interferenz) zur Folge hat.
Um die Bitfehlerrate der oben genannten Verfahren zu bestimmen, wurde
zunächst ein inkohärenter Combining-Verlust spezifiziert, welcher
auftritt im Gegensatz zu kohärenter Detektion mit Maximum Ratio Multipath
Combining. Dieser Verlust hängt von dem Produkt aus der Länge des
Integrationsfensters und der Signalbandbreite ab.
Um den Verlust durch inkohärentes Combining zu reduzieren und somit die
Leistungseffizienz des Empfängers zu steigern, werden verbesserte
Combining-Methoden für Mehrwegeempfang vorgeschlagen. Ein analoger
Empfänger, bei dem der Hauptteil des Mehrwege-Combinings durch einen
„Integrate and Dump”-Filter implementiert ist, wird für UWB-Systeme
mit Zeit-Hopping gezeigt. Dabei wurde die Einsatzmöglichkeit von dünn
besetzten Codes in solchen System diskutiert und bewertet. Des Weiteren
wird eine Regel für die Code-Auswahl vorgestellt, welche die Stabilität
des Systems gegen Mehrnutzer-Störungen sicherstellt und gleichzeitig den
Verlust durch inkohärentes Combining verringert.
Danach liegt der Fokus auf digitalen Lösungen bei inkohärenter
Demodulation. Im Vergleich zum Analogempfänger besitzt ein
Digitalempfänger einen Analog-Digital-Wandler im Zeitbereich gefolgt von
einem digitalen Optimalfilter. Der digitale Optimalfilter dekodiert den
Mehrfachzugriffscode kohärent und beschränkt das inkohärente Combining
auf die empfangenen Mehrwegekomponenten im Digitalbereich. Es kommt ein
schneller Analog-Digital-Wandler mit geringer Auflösung zum Einsatz, um
einen vertretbaren Energieverbrauch zu gewährleisten. Diese Digitaltechnik
macht den Einsatz langer Analogverzögerungen bei differentieller
Demodulation unnötig und ermöglicht viele Arten der digitalen
Signalverarbeitung. Im Vergleich zur Analogtechnik reduziert sie nicht nur
den inkohärenten Combining-Verlust, sonder zeigt auch eine stärkere
Resistenz gegenüber Störungen. Dabei werden die Auswirkungen der
Auflösung und der Abtastrate der Analog-Digital-Umsetzung analysiert. Die
Resultate zeigen, dass die verminderte Effizienz solcher
Analog-Digital-Wandler gering ausfällt. Weiterhin zeigt sich, dass im
Falle starker Mehrnutzerinterferenz sogar eine Verbesserung der Ergebnisse
zu beobachten ist. Die vorgeschlagenen Design-Regeln spezifizieren die
Anwendung der Analog-Digital-Wandler und die Auswahl der Systemparameter in
Abhängigkeit der verwendeten Mehrfachzugriffscodes und der Modulationsart.
Wir zeigen, wie unter Anwendung erweiterter Modulationsverfahren die
Leistungseffizienz verbessert werden kann und schlagen ein Verfahren zur
Unterdrückung schmalbandiger Störer vor, welches auf Soft Limiting
aufbaut. Durch die Untersuchungen und Ergebnissen zeigt sich, dass
inkohärente Empfänger in UWB-Kommunikationssystemen mit niedriger
Datenrate ein großes Potential aufweisen.
Außerdem wird die Auswahl der benutzbaren Bandbreite untersucht, um einen
Kompromiss zwischen inkohärentem Combining-Verlust und Stabilität
gegenüber langsamen Schwund zu erreichen. Dadurch wurde ein neues Konzept
für UWB-Systeme erarbeitet: wahlweise kohärente oder inkohärente
Empfänger, welche als UWB-Systeme Frequenz-Hopping nutzen. Der wesentliche
Vorteil hiervon liegt darin, dass die Bandbreite im Basisband sich deutlich
verringert. Mithin ermöglicht dies einfach zu realisierende digitale
Signalverarbeitungstechnik mit kostengünstigen Analog-Digital-Wandlern.
Dies stellt eine neue Epoche in der Forschung im Bereich drahtloser
Sensorfunknetze dar.
Der Schwerpunkt des zweiten Abschnitts stellt adaptiven Signalverarbeitung
für hohe Datenraten mit „Direct Sequence”-UWB-Systemen in den
Vordergrund. In solchen Systemen entstehen, wegen der großen Anzahl der
empfangenen Mehrwegekomponenten, starke Inter- bzw.
Intrasymbolinterferenzen. Außerdem kann die Funktionalität des Systems
durch Mehrnutzerinterferenz und Schmalbandstörungen deutlich beeinflusst
werden. Um sie zu eliminieren, wird die „Widely Linear”-Rangreduzierung
benutzt. Dabei verbessert die Rangreduzierungsmethode das
Konvergenzverhalten, besonders wenn der gegebene Vektor eine sehr große
Anzahl an Abtastwerten beinhaltet (in Folge hoher einer Abtastrate).
Zusätzlich kann das System durch die Anwendung der R-linearen Verarbeitung
die Statistik zweiter Ordnung des nicht-zirkularen Signals vollständig
ausnutzen, was sich in verbesserten Schätzergebnissen widerspiegelt.
Allgemeine kann die Methode der „Widely Linear”-Rangreduzierung auch in
andern Bereichen angewendet werden, z.B. in „Direct
Sequence”-Codemultiplexverfahren (DS-CDMA), im MIMO-Bereich, im Global
System for Mobile Communications (GSM) und beim Beamforming.The aim of this thesis is to investigate key issues encountered in the
design of transmission schemes and receiving techniques for Ultra Wideband
(UWB) communication systems. Based on different data rate applications,
this work is divided into two parts, where energy efficient and robust
physical layer solutions are proposed, respectively.
Due to a huge bandwidth of UWB signals, a considerable amount of multipath
arrivals with various path gains is resolvable at the receiver. For low
data rate impulse radio UWB systems, suboptimal non-coherent detection is a
simple way to effectively capture the multipath energy. Feasible techniques
that increase the power efficiency and the interference robustness of
non-coherent detection need to be investigated. For high data rate direct
sequence UWB systems, a large number of multipath arrivals results in
severe inter-/intra-symbol interference. Additionally, the system
performance may also be deteriorated by multi-user interference and
narrowband interference. It is necessary to develop advanced signal
processing techniques at the receiver to suppress these interferences.
Part I of this thesis deals with the co-design of signaling schemes and
receiver architectures in low data rate impulse radio UWB systems based on
non-coherent detection.● We analyze the bit error rate performance of
non-coherent detection and characterize a non-coherent combining loss,
i.e., a performance penalty with respect to coherent detection with maximum
ratio multipath combining. The thorough analysis of this loss is very
helpful for the design of transmission schemes and receive techniques
innon-coherent UWB communication systems.● We propose to use optical
orthogonal codes in a time hopping impulse radio UWB system based on an
analog non-coherent receiver. The “analog” means that the major part of
the multipath combining is implemented by an integrate and dump filter. The
introduced semi-analytical method can help us to easily select the time
hopping codes to ensure the robustness against the multi-user interference
and meanwhile to alleviate the non-coherent combining loss.● The main
contribution of Part I is the proposal of applying fully digital solutions
in non-coherent detection. The proposed digital non-coherent receiver is
based on a time domain analog-to-digital converter, which has a high speed
but a very low resolution to maintain a reasonable power consumption.
Compared to its analog counterpart, itnot only significantly reduces the
non-coherent combining loss but also offers a higher interference
robustness. In particular, the one-bit receiver can effectively suppress
strong multi-user interference and is thus advantageous in separating
simultaneously operating piconets.The fully digital solutions overcome the
difficulty of implementing long analog delay lines and make differential
UWB detection possible. They also facilitate the development of various
digital signal processing techniques such as multi-user detection and
non-coherent multipath combining methods as well as the use of advanced
modulationschemes (e.g., M-ary Walsh modulation).● Furthermore, we
present a novel impulse radio UWB system based on frequency hopping, where
both coherent and non-coherent receivers can be adopted. The key advantage
is that the baseband bandwidth can be considerably reduced (e.g., lower
than 500 MHz), which enables low-complexity implementation of the fully
digital solutions. It opens up various research activities in the
application field of wireless sensor networks.
Part II of this thesis proposes adaptive widely linear reduced-rank
techniques to suppress interferences for high data rate direct sequence UWB
systems, where second-order non-circular signals are used. The reduced-rank
techniques are designed to improve the convergence performance and the
interference robustness especially when the received vector contains a
large number of samples (due to a high sampling rate in UWB systems). The
widely linear processing takes full advantage of the second-order
statistics of the non-circular signals and enhances the estimation
performance. The generic widely linear reduced-rank concept also has a
great potential in the applications of other systems such as Direct
Sequence Code Division Multiple Access (DS-CDMA), Multiple Input Multiple
Output (MIMO) system, and Global System for Mobile Communications (GSM), or
in other areas such as beamforming