Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Wireless Communications
Soft input channel estimation for turbo equalization
IEEE Transactions on Signal Processing - Part I
ML approaches to channel estimation for pilot-aided multirateDS/CDMA systems
IEEE Transactions on Signal Processing
Factor-Graph Algorithms for Equalization
IEEE Transactions on Signal Processing
Iterative channel estimation for turbo equalization of time-varying frequency-selective channels
IEEE Transactions on Wireless Communications
A factor graph approach to iterative channel estimation and LDPC decoding over fading channels
IEEE Transactions on Wireless Communications
Gaussian maximum-likelihood channel estimation with short training sequences
IEEE Transactions on Wireless Communications
Belief Propagation over SISO/MIMO Frequency Selective Fading Channels
IEEE Transactions on Wireless Communications
Simplified Soft-Output Detection of CPM Signals Over Coherent and Phase Noise Channels
IEEE Transactions on Wireless Communications
Distributed Decoding in a Cellular Multiple-Access Channel
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
Unified design of iterative receivers using factor graphs
IEEE Transactions on Information Theory
Joint message-passing decoding of LDPC codes and partial-response channels
IEEE Transactions on Information Theory
Iterative multiuser joint decoding: unified framework and asymptotic analysis
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Algorithms for iterative decoding in the presence of strong phase noise
IEEE Journal on Selected Areas in Communications
Maximum-likelihood semiblind equalization of doubly selective channels using the EM algorithm
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
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Application of the belief propagation (BP) algorithm is proposed for pilot-assisted reception of Gaussian distributed symbols over unknown inter-symbol interference channels whose parameters are also Gaussian distributed. The proposed Bayesian network graph for the demodulator includes the channel parameters as explicit nodes, allowing the combined estimation of the channel and information bearing symbols with the aid of pilot symbols. Since direct application of BP is not tractable for this model, the algorithm is obtained by introducing approximations of the message distributions appropriately. The proposed algorithm is parallel in nature, is suitable for sparse channels, and can be easily extended to coded systems for joint demodulation and decoding. The numerical results show near-optimal performance in the minimum mean squared error sense for a small example, and a performance better than that of iterative semi-blind equalization with batch matrix-based estimators for the general case.