AN ENHANCED DETECTION ALGORITHM FOR V-BLAST SYSTEM  

作　　者：Su Xin Yi Kechu Tian Bin Sun Yongjun 

机构地区：[1]State Key Lab of lntegrated Service Networks, Xidian University, Xi ＇an 710071, China

出　　处：《Journal of Electronics(China)》2006年第5期773-776,共4页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60172029).

摘　　要：A decoding method complemented by Maximum Likelihood (ML) detection for V-BLAST (Verti- cal Bell Labs Layered Space-Time) system is presented. The ranked layers are divided into several groups. ML decoding is performed jointly for the layers within the same group while the Decision Feedback Equalization (DFE) is performed for groups. Based on the assumption of QPSK modulation and the quasi-static flat fading channel, simulations are made to testify the performance of the proposed algorithm. The results show that the algorithm outperforms the original V-BLAST detection dramatically in Symbol Error Probability (SEP) per- formance. Specifically, Signal-to-Noise Ratio (SNR) improvement of 3.4dB is obtained for SEP of 10?2 (4×4 case), with a reasonable complexity maintained.A decoding method complemented by Maximum Likelihood （ML） detection for V-BLAST （Vertical Bell Labs Layered Space-Time） system is presented. The ranked layers are divided into several groups. ML decoding is performed jointly for the layers within the same group while the Decision Feedback Equalization （DFE） is performed for groups. Based on the assumption of QPSK modulation and the quasi-static flat fading channel, simulations are made to testify the performance of the proposed algorithm. The results show that the algorithm outperforms the original V-BLAST detection dramatically in Symbol Error Probability （SEP） performance. Specifically, Signal-to-Noise Ratio （SNR） improvement of 3.4dB is obtained for SEP of 10^-2 （4×4 case）, with a reasonable complexity maintained.

关 键 词：Multi-Input Multi-Output （MIMO） Vertical Bell Labs Layered Space-Time （V-BLAST） Maximum Likelihood （ML） detection Decision Feedback Equalization （DFE） 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]