Journal on Communications ›› 2016, Vol. 37 ›› Issue (4): 192-198.doi: 10.11959/j.issn.1000-436x.2016086

• Academic communication • Previous Articles    

Space alternating generalized maximum-likelihood based low-complexity list detection algorithm

Chang-le JING1,Xin WANG1,Ji-bo WEI1,Bin CHEN1,Shi-qi WU2   

  1. 1 School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
    2 Southwest China Institute of Electronic Technology, Chengdu 610036, China
  • Online:2016-04-25 Published:2016-04-26
  • Supported by:
    The National Natural Science Foundation of China

Abstract:

A space-alternating generalized maximum-likelihood (SAGL) list detection algorithm with lower-complexity for V-BLAST systems was proposed. The sub-detector involved in the proposed list detection algor hm consisted of sim-plified maximum-likelihood (SML) detectors and successive interference cancel ation (SIC) detectors. The proposed al-gorithm could utilize adjacent symbols to realize joint-sliding detection to achieve higher diversity gain, wh le the tradi-tional SIC algorithm was only able to detect a single symbol each time. Moreover, the proposed SAGL algorithm could further iteratively improve the detection results. Ana is and simulation results present the corresponding enhanced per-formance at the cost of slightly increased complexity, compared with the traditional list detection algorithm.

Key words: MIMO, list detection, SAGL algorithm, successive interference cancellation

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