EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Communications
IEEE Transactions on Wireless Communications
Optimization of information rate upper and lower bounds for channels with memory
IEEE Transactions on Information Theory
Design and analysis of successive decoding with finite levels for the Markov channel
IEEE Transactions on Information Theory
Finite-state Markov modelling of frequency-selective fading channels with correlated taps
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Detection by multiple trellises
IEEE Transactions on Communications
IEEE Transactions on Communications
Performance of LDPC codes for satellite communication in ka band
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
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This paper addresses the design and performance evaluation with respect to capacity of M-PSK turbo-coded systems operating in frequency-flat time-selective Rayleigh fading. The receiver jointly performs channel estimation and turbo decoding, allowing the two processes to benefit from each other. To this end, we introduce a suitable Markov model with a finite number of states, designed to approximate both the values and the statistical properties of the correlated flat fading channel phase, which poses a more severe challenge to PSK transmission than amplitude hiding. Then, the forward-backward algorithm determines both the maximum a posteriori probability (MAP) value for each symbol in the data sequence and the MAP channel phase in each iteration. Simulations show good performance in standard correlated Rayleigh fading channels. A sequence of progressively tighter upper bounds to the capacity of a simplified Markov-phase channel is derived, and performance of a turbo code with joint iterative channel estimation and decoding is demonstrated to approach these capacity bounds