Synchronous and asynchronous sequential symbol synchronizers

In this work, we present two synchronizer groups: the synchronous and the asynchronous. The synchronous group is based in forward logic with flip flops and the asynchronous group is based in forward logic with delay line feedback. In each group we consider two versions: the manual and the automatic. The main objective is to study the two groups, each one with two versions and to observe its jitter performance as function of the noise

Effects of the previous pulse shift and filter on the symbol synchronizer PLL

We will study the effects of the shift of the previous pulse temporal position (between P1 and P2) on the symbol synchronizers jitter behavior. Each pulse temporal position (P1 and P2), with the same previous filter, forms a group with four different carrier PLL (Phase Lock Loop) namely the analog, hybrid, combinational and sequential. The main objective is to study the synchronizers output jitter UIRMS (Unit Interval Root Mean Squared) as function of the input SNR (Signal to Noise Ratio)

Deterministic and random phase synchronizers

This work study two groups of synchronizers, namely the Deterministic Phase Synchronizer and the Random Phase Synchronizer. The difference between them is only inside of the phase comparator. In the first group, the VCO (Voltage Controlled Oscillator) synchronizes with the input deterministic phase of an expected periodic transition. In the second group the VCO synchronizes with the input random phase of an unexpected no periodic transition. Each group is studied under four topologies (analog, hybrid, combinational and sequential). The objective is to evaluate the two synchronizers groups with the four topologies and to observe their jitter behaviors with the noise

Design and Implementation of an OFDM WLAN Synchronizer

With the advent of OFDM for WLAN communications, as exemplified by IEEE 802.11a, it has become imperative to have efficient and reliable synchronization algorithms for OFDM WLAN receivers. The main challenges with synchronization deal with the delay spread and frequency offset introduced by the wireless channel. In this work, rigorous research is done into OFDM WLAN synchronization algorithms, and a thorough synchronizer implementation is presented. This synchronizer performs packet detection, frequency offset estimation, and time offset estimation. Competing timing offset estimation algorithms are compared under a variety of channel conditions, with varying delay spreads, frequency offsets, and channel SNR. The metrics used to select between competing algorithms are statistical variance, and incremental hardware complexity. The timing offset estimation algorithms chosen are a dropoff detection algorithm for coarse timing offset estimation, and a quantized cross-correlator with a maximum detector for fine timing offset estimation

High-performance signal acquisition algorithms for wireless communications receivers

Due to the uncertainties introduced by the propagation channel, and RF and mixed signal circuits imperfections, digital communication receivers require efficient and robust signal acquisition algorithms for timing and carrier recovery, and interfer- ence rejection. The main theme of this work is the development of efficient and robust signal synchronization and interference rejection schemes for narrowband, wideband and ultra wideband communications systems. A series of novel signal acquisition schemes together with their performance analysis and comparisons with existing state-of-the- art results are introduced. The design effort is first focused on narrowband systems, and then on wideband and ultra wideband systems. For single carrier modulated narrowband systems, it is found that conventional timing recovery schemes present low efficiency, e.g., certain feedback timing recov- ery schemes exhibit the so-called hang-up phenomenon, while another class of blind feedforward timing recovery schemes presents large self-noise. Based on a general re- search framework, we propose new anti-hangup algorithms and prefiltering techniques to speed up the feedback timing recovery and reduce the self-noise of feedforward tim- ing estimators, respectively. Orthogonal frequency division multiplexing (OFDM) technique is well suited for wideband wireless systems. However, OFDM receivers require high performance car-rier and timing synchronization. A new coarse synchronization scheme is proposed for efficient carrier frequency offset and timing acquisition. Also, a novel highly accurate decision-directed algorithm is proposed to track and compensate the residual phase and timing errors after the coarse synchronization step. Both theoretical analysis and computer simulations indicate that the proposed algorithms greatly improve the performance of OFDM receivers. The results of an in-depth study show that a narrowband interference (NBI) could cause serious performance loss in multiband OFDMbased ultra-wideband (UWB) sys- tems. A novel NBI mitigation scheme, based on a digital NBI detector and adaptive analog notch filter bank, is proposed to reduce the effects of NBI in UWB systems. Simulation results show that the proposed NBI mitigation scheme improves signifi- cantly the performance of a standard UWB receiver (this improvement manifests as a signal-to-noise ratio (SNR) gain of 9 dB)

Extending the range of the 802.11G WLAN through improved synchronization techniques

Orthogonal Frequency Division Multiplexing (OFDM) allows for a spectrally efficient means of obtaining high data rates while simultaneously combating the effects of fading. The multi-carrier spectrum of OFDM mandates that the receiver accomplish a number of synchronization tasks to successfully demodulate the OFDM signal, including the critical requirement to synchronize the carrier frequency. Additional synchronization tasks include frame synchronization (packet detection), synchronization of the carrier phase, and symbol timing. Improved receiver synchronization algorithms may hold the prospect of superior performance; specifically allowing successful demodulation by the receiver at an extended range. This thesis discusses several promising synchronization algorithms. Furthermore, a performance analysis of these algorithms is conducted at low signal to noise ratio (SNR) in an AWGN channel using MATLAB.http://archive.org/details/extendingrangeof109453531US Navy (USN) author.Approved for public release; distribution is unlimited

Synchronization algorithms and architectures for wireless OFDM systems

Orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation technique that has become a viable method for wireless communication systems due to the high spectral efficiency, immunity to multipath distortion, and being flexible to integrate with other techniques. However, the high-peak-to-average power ratio and sensitivity to synchronization errors are the major drawbacks for OFDM systems. The algorithms and architectures for symbol timing and frequency synchronization have been addressed in this thesis because of their critical requirements in the development and implementation of wireless OFDM systems. For the frequency synchronization, two efficient carrier frequency offset (CFO) estimation methods based on the power and phase difference measurements between the subcarriers in consecutive OFDM symbols have been presented and the power difference measurement technique is mapped onto reconfigurable hardware architecture. The performance of the considered CFO estimators is investigated in the presence of timing uncertainty conditions. The power difference measurements approach is further investigated for timing synchronization in OFDM systems with constant modulus constellation. A new symbol timing estimator has been proposed by measuring the power difference either between adjacent subcarriers or the same subcarrier in consecutive OFDM symbols. The proposed timing metric has been realized in feedforward and feedback configurations, and different implementation strategies have been considered to enhance the performance and reduce the complexity. Recently, multiple-input multiple-output (MIMO) wireless communication systems have received considerable attention. Therefore, the proposed algorithms have also been extended for timing recovery and frequency synchronization in MIMO-OFDM systems. Unlike other techniques, the proposed timing and frequency synchronization architectures are totally blind in the sense that they do not require any information about the transmitted data, the channel state or the signal-to-noise-ratio (SNR). The proposed frequency synchronization architecture has low complexity because it can be implemented efficiently using the three points parameter estimation approach. The simulation results confirmed that the proposed algorithms provide accurate estimates for the synchronization parameters using a short observation window. In addition, the proposed synchronization techniques have demonstrated robust performance over frequency selective fading channels that significantly outperform other well-established methods which will in turn benefit the overall OFDM system performance. Furthermore, an architectural exploration for mapping the proposed frequency synchronization algorithm, in particular the CFO estimation based on the power difference measurements, on reconfigurable computing architecture has been investigated. The proposed reconfigurable parallel and multiplexed-stream architectures with different implementation alternatives have been simulated, verified and compared for field programmable gate array (FPGA) implementation using the Xilinx’s DSP design flow.EThOS - Electronic Theses Online ServiceMinistry of Higher Education and Scientific Research (MOHSR) of IraqGBUnited Kingdo

Advanced receiver structures for mobile MIMO multicarrier communication systems

Beyond third generation (3G) and fourth generation (4G) wireless communication systems are targeting far higher data rates, spectral efficiency and mobility requirements than existing 3G networks. By using multiple antennas at the transmitter and the receiver, multiple-input multiple-output (MIMO) technology allows improving both the spectral efficiency (bits/s/Hz), the coverage, and link reliability of the system. Multicarrier modulation such as orthogonal frequency division multiplexing (OFDM) is a powerful technique to handle impairments specific to the wireless radio channel. The combination of multicarrier modulation together with MIMO signaling provides a feasible physical layer technology for future beyond 3G and fourth generation communication systems. The theoretical benefits of MIMO and multicarrier modulation may not be fully achieved because the wireless transmission channels are time and frequency selective. Also, high data rates call for a large bandwidth and high carrier frequencies. As a result, an important Doppler spread is likely to be experienced, leading to variations of the channel over very short period of time. At the same time, transceiver front-end imperfections, mobility and rich scattering environments cause frequency synchronization errors. Unlike their single-carrier counterparts, multi-carrier transmissions are extremely sensitive to carrier frequency offsets (CFO). Therefore, reliable channel estimation and frequency synchronization are necessary to obtain the benefits of MIMO OFDM in mobile systems. These two topics are the main research problems in this thesis. An algorithm for the joint estimation and tracking of channel and CFO parameters in MIMO OFDM is developed in this thesis. A specific state-space model is introduced for MIMO OFDM systems impaired by multiple carrier frequency offsets under time-frequency selective fading. In MIMO systems, multiple frequency offsets are justified by mobility, rich scattering environment and large angle spread, as well as potentially separate radio frequency - intermediate frequency chains. An extended Kalman filter stage tracks channel and CFO parameters. Tracking takes place in time domain, which ensures reduced computational complexity, robustness to estimation errors as well as low estimation variance in comparison to frequency domain processing. The thesis also addresses the problem of blind carrier frequency synchronization in OFDM. Blind techniques exploit statistical or structural properties of the OFDM modulation. Two novel approaches are proposed for blind fine CFO estimation. The first one aims at restoring the orthogonality of the OFDM transmission by exploiting the properties of the received signal covariance matrix. The second approach is a subspace algorithm exploiting the correlation of the channel frequency response among the subcarriers. Both methods achieve reliable estimation of the CFO regardless of multipath fading. The subspace algorithm needs extremely small sample support, which is a key feature in the face of time-selective channels. Finally, the Cramér-Rao (CRB) bound is established for the problem in order to assess the large sample performance of the proposed algorithms.reviewe

Application des techniques multiporteuses de type OFDM pour les futurs systèmes de télécommunications par satellite

Cette thèse étudie la possibilité d'appliquer les techniques de modulations multiporteuses de type OFDM dans les futurs systèmes de communications par satellite. Elle traite notamment du problème de synchronisation au niveau récepteur pour les systèmes de diffusion par satellite en bande Ka. L'objectif est de proposer une structure de réception ayant besoin du moins de ressources possibles pour synchroniser afin d'optimiser l'efficacité spectrale du système et obtenir un gain par rapport à un système monoporteuse. Une première partie du travail consiste à proposer et valider la structure de synchronisation. Ses performances en termes d'efficacité spectrale sont ensuite évaluées et comparées avec celles du DVB-S et du DVB-S2. Pour finir une étude de la complexité calculatoire de la structure proposée est menée. Les sources d'erreurs de synchronisation ayant été identifiées et leur impact sur les performances du système évalué, il s'avère que, mis à part l'erreur de fréquence horloge, les autres erreurs de synchronisation doivent être estimées et corrigées. La transmission en mode continu dans un système de diffusion par satellite permet l'utilisation d'une structure bouclée de type Non-Data-Aided en réception pour corriger les erreurs de synchronisation. Ceci évite l'utilisation de pilotes et permet ainsi d'améliorer l'efficacité spectrale du système. Cependant, cette structure de type aveugle nécessite une première étape de synchronisation grossière afin de limiter les interférences intersymboles et inter-porteuses pouvant conduire à une non convergence des boucles. Le procédé de synchronisation global s'effectue donc en deux étapes : une étape de synchronisation grossière utilisant l'intervalle de garde et quelques pilotes, suivie d'une étape de synchronisation plus fine utilisant des boucles de type Non-Data-Aided. L'étape de synchronisation grossière est dimensionnée (durée de l'intervalle de garde et nombre de pilotes) pour atteindre les performances d'estimation nécessaires à la convergence des boucles de la structure de synchronisation fine, tout en optimisant l'efficacité spectrale. L'efficacité spectrale obtenue est comparée avec celle des systèmes DVB-S et DVB-S2. Les performances de l'étape de synchronisation fine, en termes de dégradation du taux d'erreur binaire due aux erreurs de synchronisation, sont évaluées en l'absence puis en présence de bruit de phase. Les points de fonctionnement de la structure proposée sont donnés en utilisant les gabarits de bruit de phase des normes DVB-S2 et DVB-SH. Un gabarit de bruit de phase de Wiener conduisant aux gigues acceptées par le DVBS2 à l'entrée du décodeur est établi. Le temps d'accrochage, ainsi que la complexité calculatoire, de la structure proposée sont également évalués

Advanced Coding And Modulation For Ultra-wideband And Impulsive Noises

The ever-growing demand for higher quality and faster multimedia content delivery over short distances in home environments drives the quest for higher data rates in wireless personal area networks (WPANs). One of the candidate IEEE 802.15.3a WPAN proposals support data rates up to 480 Mbps by using punctured convolutional codes with quadrature phase shift keying (QPSK) modulation for a multi-band orthogonal frequency-division multiplexing (MB-OFDM) system over ultra wideband (UWB) channels. In the first part of this dissertation, we combine more powerful near-Shannon-limit turbo codes with bandwidth efficient trellis coded modulation, i.e., turbo trellis coded modulation (TTCM), to further improve the data rates up to 1.2 Gbps. A modified iterative decoder for this TTCM coded MB-OFDM system is proposed and its bit error rate performance under various impulsive noises over both Gaussian and UWB channel is extensively investigated, especially in mismatched scenarios. A robust decoder which is immune to noise mismatch is provided based on comparison of impulsive noises in time domain and frequency domain. The accurate estimation of the dynamic noise model could be very difficult or impossible at the receiver, thus a significant performance degradation may occur due to noise mismatch. In the second part of this dissertation, we prove that the minimax decoder in \cite, which instead of minimizing the average bit error probability aims at minimizing the worst bit error probability, is optimal and robust to certain noise model with unknown prior probabilities in two and higher dimensions. Besides turbo codes, another kind of error correcting codes which approach the Shannon capacity is low-density parity-check (LDPC) codes. In the last part of this dissertation, we extend the density evolution method for sum-product decoding using mismatched noises. We will prove that as long as the true noise type and the estimated noise type used in the decoder are both binary-input memoryless output symmetric channels, the output from mismatched log-likelihood ratio (LLR) computation is also symmetric. We will show the Shannon capacity can be evaluated for mismatched LLR computation and it can be reduced if the mismatched LLR computation is not an one-to-one mapping function. We will derive the Shannon capacity, threshold and stable condition of LDPC codes for mismatched BIAWGN and BIL noise types. The results show that the noise variance estimation errors will not affect the Shannon capacity and stable condition, but the errors do reduce the threshold. The mismatch in noise type will only reduce Shannon capacity when LLR computation is based on BIL