Title :
Joint Detection and Decoding in LDPC-Based Space-Time Coded MIMO-OFDM Systems via Linear Programming
Author :
Kun Wang ; Hong Shen ; Wenhao Wu ; Zhi Ding
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
Abstract :
This work proposes a novel linear programming approach for the joint detection and decoding of LDPC-based space-time (ST) coded signals in multi-antenna orthogonal frequency division multiplexing (OFDM) systems. While traditional receivers typically decouple the detection and decoding processes as two disjunctive blocks or require iterative turbo exchange of extrinsic information between the soft detector and decoder, we formulate a joint linear program (LP) by exploiting the constraints imposed on the data symbols, training symbols, noise subspace as well as channel code. In consideration of the vast amount of LDPC parity check inequalities, we further present an adaptive procedure to significantly reduce the complexity of the joint LP receiver. Our LP-based receivers outperform existing receivers with substantial performance gains. Moreover, the proposed joint LP receiver demonstrates strong robustness when pilot symbols are sparsely arranged on subcarriers.
Keywords :
MIMO communication; OFDM modulation; antenna arrays; linear programming; parity check codes; space-time codes; LDPC parity check inequalities; LDPC-based space-time coded MIMO-OFDM systems; LDPC-based space-time coded signals; LP; data symbols; joint detection and decoding method; multiantenna orthogonal frequency division multiplexing systems; noise subspace; novel linear programming approach; soft detector; training symbols; Iterative decoding; Joints; MIMO; OFDM; Receiving antennas; LDPC; Linear programming; MIMO-OFDM; joint detection and decoding; space-time code;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2015.2422681