Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (5): 41-45.doi: 10.13190/j.jbupt.2013.05.009

• Papers • Previous Articles     Next Articles

MIMO Fixed-Complexity Sphere Decoding with Low-Complexity Channel Matrix Ordering

WANG Shi-liang, SUN Song-lin, JING Xiao-jun, HUANG Hai   

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2012-12-18 Online:2013-10-31 Published:2013-08-09

Abstract:

A multiple-input multiple-output fixed-complexity sphere decoder (FSD) with low-complexity channel matrix ordering is proposed based on reliabilities of the minimum mean square error (MMSE) decoder's decision variables. The proposed ordering algorithm first performs MMSE decoding, computes the reliabilities of MMSE decoder's decision variables, and finally orders channel matrix based on the reliabilities. The algorithm not only effectively reduces the complexity of FSD in preprocessing stage, but also overcomes its sequential nature, more suitable for applications. Simulation result shows that the performance loss caused by the low-complexity ordering algorithm is negligible and quasi-maximum likelihood performance can be achieved.

Key words: multi-input multi-output, sphere decoding, fixed-complexity sphere decoding

CLC Number: