TY - GEN
T1 - Improved K-best algorithm for low-complexity MIMO detector
AU - Yang, Junmei
AU - Zhang, Chuan
AU - You, Xiaohu
AU - Xu, Shugong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/18
Y1 - 2014/12/18
N2 - In this paper, an improved K-best algorithm, which is suitable for low-complexity MIMO detector implementation is proposed. In order to balance the detector's bit-error-rate (BER) performance and computation complexity, several techniques, such as empirical path expansion and relaxed sorting have been proposed. Simulation results have shown that the proposed algorithm can achieve better computation efficiency while keep similar BER performance compared to the state-of-the-art ones. Furthermore, the corresponding detector MIMO architecture is also proposed.
AB - In this paper, an improved K-best algorithm, which is suitable for low-complexity MIMO detector implementation is proposed. In order to balance the detector's bit-error-rate (BER) performance and computation complexity, several techniques, such as empirical path expansion and relaxed sorting have been proposed. Simulation results have shown that the proposed algorithm can achieve better computation efficiency while keep similar BER performance compared to the state-of-the-art ones. Furthermore, the corresponding detector MIMO architecture is also proposed.
KW - detector
KW - K-best algorithm
KW - Multi-input multi-output (MIMO)
KW - relaxed sorting
UR - http://www.scopus.com/inward/record.url?scp=84921627619&partnerID=8YFLogxK
U2 - 10.1109/WCSP.2014.6992213
DO - 10.1109/WCSP.2014.6992213
M3 - Conference Proceeding
AN - SCOPUS:84921627619
T3 - 2014 6th International Conference on Wireless Communications and Signal Processing, WCSP 2014
BT - 2014 6th International Conference on Wireless Communications and Signal Processing, WCSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 6th International Conference on Wireless Communications and Signal Processing, WCSP 2014
Y2 - 23 October 2014 through 25 October 2014
ER -