Joint detection and channel estimation for MIMO systems with SC-FDE modulations

SC modulation (Single-Carrier) with FDE (Frequency-Domain Equalization) allows excellent performance in severely time-dispersive channels, provided that accurate channel estimates are available at the receiver. For this purpose, pilot symbols and/or training sequences are usually multiplexed with data symbols, which lead to spectral degradation. As an alternative, we can use implicit pilots (i.e., pilots superimposed to data). In this paper we consider MIMO SC-FDE systems where the channel estimation is based on either explicit or implicit pilots, for comparison purposes. An iterative receiver with joint equalization, turbo decoding and channel estimation was employed for optimum results, and to reduce the high interference levels between data and pilots (for the implicit pilots). The main differences between the different schemes are discussed and the performance results show that the use of the proposed techniques for channel estimation yield excellent results.info:eu-repo/semantics/acceptedVersio

Design and evaluation of OFDM radio interfaces for high mobility communications

[Resumo] Nas dúas últimas décadas, as modulacións multiportadora emerxeron como una solución de baixa complexidade para combatir os efectos do multitraxecto en comuniacións sen fíos. Entre elas, Orthogonal Frequency Division Multiplexing (OFOM) é posiblemente o esquema de modulación máis estudado, e tamén amplamente adoptado como alicerce de estándares da industria como WiMAX ou LTE. Sen embargo, OFDM é sensible a canles que varian ca tempo, unha característica dos escenarios con mobilidade, debido á aparición da interferencia entre portadoras (ICI). A implementación de equipamento hardware para o usuario final faise normalmente en chips dedicados, afnda que entornos de investigación, prefírense solucións máis flexibles. Unha aproximación popular é a coñecida como Software Defined Radio (SOR), onde os algoritmos de procesado de sinal se implementan en hardware reconfigurable como Digital Signal Processors (OSPs) e Field Programmable Gate Arrays (FPGAs). O obxectivo deste traballo é dobre. Por un lado, definir unha arquitectura para implementacións de tempo real de capas físicas basadas en OFDM usando como referencia O estándar WiMAX, probada Dunha plataforma composta por OSPs e FPGAs. Por outra banda, estudar os efectos da selectividade en tempo no sinal OFDM, definindo métodos de estimación de canle que teñen en conta a ICI, e evaluándoos tanto en simulación como con medidas experimentais. Seguíronse dúas aproximacións para caracterizar o comportamento de formas de onda OFDM baixo condicións de mobilidade, unha basada nun emulador de canle que traballa en tempo real, e outra en inducir grandes ensanchamentos Doppler no sinal mediante a extensión da duración do símbolo OFOM.[Resumen] En las dos últimas décadas, las modulaciones multiportadora han emergido como una solución de baja complejidad para combatir los efectos del multitrayecto en comunicaciones iDalámbricas. Entre ellas, Orthogonal Frequency Division Mulriplexing (OFDM) es posiblemente el esquema de modulación más estudiado, y también ampliamente adoptado como fundamento de estándares de la industria como WiMAX o LTE. Sin embargo, OFDM es sensible a canales que varían con el tiempo, una característica de los escenarios coo movilidad, debido a la aparicióo de la interferencia entre portadoras (ICI). La implementación de equipamiento hardware para el usuario final se hace normalmente en chips dedicados, aunque eo entornos de investigación, son preferibles soluciones más Hexibles. Una aproximación popular es la conocida como Software Defined Radio (SDR), donde los algOritmos de procesado de señal se implementan en hardware reconfigurable como Digital Signa! Processors (DSPs) y Field Programmable Gate AIrays (FPGAs). El objetivo de este trabajo es doble. Por un lado. definir una arquitectura para implementaciones de tiempo real de capas ¡lSicas basadas en OFDM usando como referencia el estándar WiMAX, probada en una plataforma compuesta por DSPs y FPGAs. Por otro lado, estudiar los efectos de la selectividad en tiempo en la señal OFDM, definiendo métodos de estimacióo de canal que tengan eo cueota la ICI, y evaluándolos tanto en simulación como con medidas experimenta1es. Se han seguido dos aproximaciones para caracterizar el comportamiento de formas de onda OFDM bajo condiciones de mobilidad, una basada en un emulador de canal que trabaja en tiempo real. y otra en inducir grandes ensanchamientos Doppler en la señal mediante la extensión de la duración del símbolo OFDM.[Abstract] In Ihe last two decades, multicarrier modulations have emerged as a low complexity solulion to combal the effects of Ihe multipalh in wireless communicalions. Among Ihem, Orthogonal Frequency Division Mulliplexing (OFOM) is possibly Ihe mosl sludied modulation scheme, and has a1so been widely adopted as Ihe foundation of induslry standards such as WiMAX or LTE. However, OFOM is sensitive lo time selective channels, which are featured in mobility scenarlos, due lO Ihe appearance of Inler-Carrier Interference (ICI). Implemenlation of hardware equipmenl for Ihe end user is usually implemenled in dedicaled chips, bul in researeh environments, more flexible solutions are preferred. One popular approach is the so ealled Software Defined Radio (SOR), where the signal processing a1gorithms are implemented in reconfigurable hardware sueh as Digital Signal Processors (DSPs) and Field Prograrnmable Gate Arrays (FPGAs). The aim of Ibis work is two-fold. On the one hand, to define an architeclure for Ihe implementation of real-time OFOM-based physical layers, using as a reference Ihe WiMAX standard, and it is tested on a platform composed by DSPs and FPGAs. On the olher hand, to study Ihe effeets of !he time seleetivity on !he OFOM signal, defining channel estimation me!hods aware of !he ICI, and ils evaluation bo!h in simulation as well as experimental measuremenls. Two approaches have been followed to assess the behavior of OFOM waveforms under mobility conditions, one based on a real-time channel emulator, and the other on inducing large Doppler spreads in !he signal by extending the duration of Ihe OFDM symbols

High mobility in OFDM based wireless communication systems

Orthogonal Frequency Division Multiplexing (OFDM) has been adopted as the transmission scheme in most of the wireless systems we use on a daily basis. It brings with it several inherent advantages that make it an ideal waveform candidate in the physical layer. However, OFDM based wireless systems are severely affected in High Mobility scenarios. In this thesis, we investigate the effects of mobility on OFDM based wireless systems and develop novel techniques to estimate the channel and compensate its effects at the receiver. Compressed Sensing (CS) based channel estimation techniques like the Rake Matching Pursuit (RMP) and the Gradient Rake Matching Pursuit (GRMP) are developed to estimate the channel in a precise, robust and computationally efficient manner. In addition to this, a Cognitive Framework that can detect the mobility in the channel and configure an optimal estimation scheme is also developed and tested. The Cognitive Framework ensures a computationally optimal channel estimation scheme in all channel conditions. We also demonstrate that the proposed schemes can be adapted to other wireless standards easily. Accordingly, evaluation is done for three current broadcast, broadband and cellular standards. The results show the clear benefit of the proposed schemes in enabling high mobility in OFDM based wireless communication systems.Orthogonal Frequency Division Multiplexing (OFDM) wurde als Übertragungsschema in die meisten drahtlosen Systemen, die wir täglich verwenden, übernommen. Es bringt mehrere inhärente Vorteile mit sich, die es zu einem idealen Waveform-Kandidaten in der Bitübertragungsschicht (Physical Layer) machen. Allerdings sind OFDM-basierte drahtlose Systeme in Szenarien mit hoher Mobilität stark beeinträchtigt. In dieser Arbeit untersuchen wir die Auswirkungen der Mobilität auf OFDM-basierte drahtlose Systeme und entwickeln neuartige Techniken, um das Verhalten des Kanals abzuschätzen und seine Auswirkungen am Empfänger zu kompensieren. Auf Compressed Sensing (CS) basierende Kanalschätzverfahren wie das Rake Matching Pursuit (RMP) und das Gradient Rake Matching Pursuit (GRMP) werden entwickelt, um den Kanal präzise, robust und rechnerisch effizient abzuschätzen. Darüber hinaus wird ein Cognitive Framework entwickelt und getestet, das die Mobilität im Kanal erkennt und ein optimales Schätzungsschema konfiguriert. Das Cognitive Framework gewährleistet ein rechnerisch optimales Kanalschätzungsschema für alle möglichen Kanalbedingungen. Wir zeigen außerdem, dass die vorgeschlagenen Schemata auch leicht an andere Funkstandards angepasst werden können. Dementsprechend wird eine Evaluierung für drei aktuelle Rundfunk-, Breitband- und Mobilfunkstandards durchgeführt. Die Ergebnisse zeigen den klaren Vorteil der vorgeschlagenen Schemata bei der Ermöglichung hoher Mobilität in OFDM-basierten drahtlosen Kommunikationssystemen

Single-Frequency Network Terrestrial Broadcasting with 5GNR Numerology

L'abstract è presente nell'allegato / the abstract is in the attachmen

Superimposed training for single carrier transmission in future mobile communications

The amount of wireless devices and wireless traffic has been increasing exponentially for the last ten years. It is forecasted that the exponential growth will continue without saturation till 2020 and probably further. So far, network vendors and operators have tackled the problem by introducing new evolutions of cellular macro networks, where each evolution has increased the physical layer spectral efficiency. Unfortunately, the spectral efficiency of the physical layer is achieving the Shannon-Hartley limit and does not provide much room for improvement anymore. However, considering the overhead due to synchronization and channel estimation reference symbols in the context of physical layer spectral efficiency, we believe that there is room for improvement. In this thesis, we will study the potentiality of superimposed training methods, especially data-dependent superimposed training, to boost the spectral efficiency of wideband single carrier communications even further. The main idea is that with superimposed training we can transmit more data symbols in the same time duration as compared to traditional time domain multiplexed training. In theory, more data symbols means more data bits which indicates higher throughput for the end user. In practice, nothing is free. With superimposed training we encounter self-interference between the training signal and the data signal. Therefore, we have to look for iterative receiver structures to separate these two or to estimate both, the desired data signal and the interfering component. In this thesis, we initiate the studies to find out if we truly can improve the existing systems by introducing the superimposed training scheme. We show that in certain scenarios we can achieve higher spectral efficiency, which maps directly to higher user throughput, but with the cost of higher signal processing burden in the receiver. In addition, we provide analytical tools for estimating the symbol or bit error ratio in the receiver with a given parametrization. The discussion leads us to the conclusion that there still remains several open topics for further study when looking for new ways of optimizing the overhead of reference symbols in wireless communications. Superimposed training with data-dependent components may prove to provide extra throughput gain. Furthermore, the superimposed component may be used for, e.g., improved synchronization, low bit-rate signaling or continuous tracking of neighbor cells. We believe that the current systems could be improved by using the superimposed training collectively with time domain multiplexed training

Multicarrier communication over underwater acoustic channels with nonuniform Doppler shifts

Author Posting. © IEEE, 2008. This article is posted here by permission of IEEE for personal use, not for redistribution. The definitive version was published in IEEE Journal of Oceanic Engineering 33 (2008): 198-209, doi:10.1109/JOE.2008.920471.Underwater acoustic (UWA) channels are wideband in nature due to the small ratio of the carrier frequency to the signal bandwidth, which introduces frequency-dependent Doppler shifts. In this paper, we treat the channel as having a common Doppler scaling factor on all propagation paths, and propose a two-step approach to mitigating the Doppler effect: 1) nonuniform Doppler compensation via resampling that converts a "wideband" problem into a "narrowband" problem and 2) high-resolution uniform compensation of the residual Doppler. We focus on zero-padded orthogonal frequency-division multiplexing (OFDM) to minimize the transmission power. Null subcarriers are used to facilitate Doppler compensation, and pilot subcarriers are used for channel estimation. The receiver is based on block-by-block processing, and does not rely on channel dependence across OFDM blocks; thus, it is suitable for fast-varying UWA channels. The data from two shallow-water experiments near Woods Hole, MA, are used to demonstrate the receiver performance. Excellent performance results are obtained even when the transmitter and the receiver are moving at a relative speed of up to 10 kn, at which the Doppler shifts are greater than the OFDM subcarrier spacing. These results suggest that OFDM is a viable option for high-rate communications over wideband UWA channels with nonuniform Doppler shifts.B. Li and S. Zhou are supported by the ONR YIP grant N00014-07-1-0805 and the NSF grant ECCS-0725562. M. Stojanovic is supported by the ONR grant N00014-07-1-0202. L. Freitag is supported by the ONR grants N00014- 02-6-0201 and N00014-07-1-0229. P. Willett is supported by the ONR grant N00014-07-1-0055

Frequency-domain receiver design for doubly-selective channels

This work is devoted to the broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility. In order to cope with doubly-selective channels, receiver structures based on OFDM and SC-FDE block transmission techniques, are proposed, which allow cost-effective implementations, using FFT-based signal processing. The first subject to be addressed is the impact of the number of multipath components, and the diversity order, on the asymptotic performance of OFDM and SC-FDE, in uncoded and for different channel coding schemes. The obtained results show that the number of relevant separable multipath components is a key element that influences the performance of OFDM and SC-FDE schemes. Then, the improved estimation and detection performance of OFDM-based broadcasting systems, is introduced employing SFN (Single Frequency Network) operation. An initial coarse channel is obtained with resort to low-power training sequences estimation, and an iterative receiver with joint detection and channel estimation is presented. The achieved results have shown very good performance, close to that with perfect channel estimation. The next topic is related to SFN systems, devoting special attention to time-distortion effects inherent to these networks. Typically, the SFN broadcast wireless systems employ OFDM schemes to cope with severely time-dispersive channels. However, frequency errors, due to CFO, compromises the orthogonality between subcarriers. As an alternative approach, the possibility of using SC-FDE schemes (characterized by reduced envelope fluctuations and higher robustness to carrier frequency errors) is evaluated, and a technique, employing joint CFO estimation and compensation over the severe time-distortion effects, is proposed. Finally, broadband mobile wireless systems, in which the relative motion between the transmitter and receiver induces Doppler shift which is different or each propagation path, is considered, depending on the angle of incidence of that path in relation to the direction of travel. This represents a severe impairment in wireless digital communications systems, since that multipath propagation combined with the Doppler effects, lead to drastic and unpredictable fluctuations of the envelope of the received signal, severely affecting the detection performance. The channel variations due this effect are very difficult to estimate and compensate. In this work we propose a set of SC-FDE iterative receivers implementing efficient estimation and tracking techniques. The performance results show that the proposed receivers have very good performance, even in the presence of significant Doppler spread between the different groups of multipath components

Channel estimation, data detection and carrier frequency offset estimation in OFDM systems

Orthogonal Frequency Division Multiplexing (OFDM) plays an important role in the implementation of high data rate communication. In this thesis, the problems of data detection and channel and carrier frequency offset estimation in OFDM systems are studied. Multi-symbol non-coherent data detection is studied which performs data detection by processing multiple symbols without the knowledge of the channel impulse response (CIR). For coherent data detection, the CIR needs to be estimated. Our objective in this thesis is to work on blind channel estimators which can extract the CIR using just one block of received OFDM data. A blind channel estimator for (Single Input Multi Output) SIMO OFDM systems is derived. The conditions under which the estimator is identifiable is studied and solutions to resolve the phase ambiguity of the proposed estimator are given.A channel estimator for superimposed OFDM systems is proposed and its CRB is derived. The idea of simultaneous transmission of pilot and data symbols on each subcarrier, the so called superimposed technique, introduces the efficient use of bandwidth in OFDM context. Pilot symbols can be added to data symbols to enable CIR estimation without sacrificing the data rate. Despite the many advantages of OFDM, it suffers from sensitivity to carrier frequency offset (CFO). CFO destroys the orthogonality between the subcarriers. Thus, it is necessary for the receiver to estimate and compensate for the frequency offset. Several high accuracy estimators are derived. These include CFO estimators, as well as a joint iterative channel/CFO estimator/data detector for superimposed OFDM. The objective is to achieve CFO estimation with using just one OFDM block of received data and without the knowledge of CIR