TY - GEN
T1 - Vector approximate message passing based iterative receiver for OTFS system
AU - Wu, Nan
AU - Zhang, Yikun
AU - Ma, Yunsi
AU - Li, Bin
AU - Yuan, Weijie
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/28
Y1 - 2021/7/28
N2 - In this paper, we develop an iterative message passing receiver based on factor graph for orthogonal time frequency space (OTFS) systems over doubly selective channels. By factorizing the joint probability of the data symbols and the received signals, we construct a loop-free factor graph with vector-valued nodes. Then, vector approximate message passing (VAMP) is employed to derive message updating expressions of variables on factor graph. To improve the accuracy of symbol detection, we vectorize the scalar variance terms of VAMP. Based on the singular value decomposition of block circulant channel matrix of OTFS system, we introduce the average approximation to circumvent the matrix inversion operation and then develop a low-complexity VAMP-based algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms, which outperform the existing minimum mean square error algorithm and the message passing algorithm in terms of bit error rate (BER) performance.
AB - In this paper, we develop an iterative message passing receiver based on factor graph for orthogonal time frequency space (OTFS) systems over doubly selective channels. By factorizing the joint probability of the data symbols and the received signals, we construct a loop-free factor graph with vector-valued nodes. Then, vector approximate message passing (VAMP) is employed to derive message updating expressions of variables on factor graph. To improve the accuracy of symbol detection, we vectorize the scalar variance terms of VAMP. Based on the singular value decomposition of block circulant channel matrix of OTFS system, we introduce the average approximation to circumvent the matrix inversion operation and then develop a low-complexity VAMP-based algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms, which outperform the existing minimum mean square error algorithm and the message passing algorithm in terms of bit error rate (BER) performance.
KW - Doubly selective channels
KW - Orthogonal time frequency space (OTFS)
KW - Vector approximate message passing (VAMP).
UR - http://www.scopus.com/inward/record.url?scp=85116424956&partnerID=8YFLogxK
U2 - 10.1109/ICCCWorkshops52231.2021.9538876
DO - 10.1109/ICCCWorkshops52231.2021.9538876
M3 - Conference contribution
AN - SCOPUS:85116424956
T3 - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
SP - 422
EP - 426
BT - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
Y2 - 28 July 2021 through 30 July 2021
ER -