Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Factor-graph-based soft self-iterative equalizer for multipath channels
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Belief Propagation over MIMO Frequency Selective Fading Channels
ICAS-ICNS '05 Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services
Near-optimum soft decision equalization for frequency selective MIMO channels
IEEE Transactions on Signal Processing
Reduced-complexity space-time turbo-equalization for frequency-selective MIMO channels
IEEE Transactions on Wireless Communications
Iterative decoding for MIMO channels via modified sphere decoding
IEEE Transactions on Wireless Communications
An iterative groupwise multiuser detector for overloaded MIMO applications
IEEE Transactions on Wireless Communications
Soft input soft output Kalman equalizer for MIMO frequency selective fading channels
IEEE Transactions on Wireless Communications
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
Concatenated decoding with a reduced-search BCJR algorithm
IEEE Journal on Selected Areas in Communications
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We introduce a novel framework for soft-input, soft-output (SISO) equalization in frequency selective multiple-input multiple-output (MIMO) channels based on the well-known belief propagation (BP) algorithm. As in the BP equalizer, we model the multipath channels using factor graphs (FGs) where the transmitted and received signals are represented by the function and variable nodes respectively. The edges connecting the function and variable nodes illustrate the dependencies of the multipath channel and soft decisions are developed by exchanging information on these edges iteratively. We incorporate powerful techniques such as groupwise iterative multiuser detection (IMUD), probabilistic data association (PDA) and sphere decoding (SD) in order to reduce the computational complexity of BP equalizer with relatively small degradation in performance. The computational complexity of this new reduced-complexity BP (RCBP) equalizer grows linearly with block size and memory length of the channel. The proposed framework has a flexible structure that allows for parallel as well as serial detection. We will illustrate through simulations that the RCBP equalizer can even handle overloaded scenarios where the channel matrix is rank deficient, and it can achieve excellent performance by applying iterative equalization using the low-density parity check codes (LDPC).