An Improved Soft-Input Soft-Output Detector for Generalized Spatial Modulation

被引：12

作者：

Xiao, Lixia ^{[1
]}

Yang, Ping ^{[1
]}

Xiao, Yue ^{[1
]}

Liu, Jiang ^{[1
]}

Fan, Shiwen ^{[1
]}

Dong, Binhong ^{[1
]}

Li, Shaoqian ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Peoples R China

来源：

IEEE SIGNAL PROCESSING LETTERS | 2016年 / 23卷 / 01期

基金：

美国国家科学基金会;

关键词：

Generalized spatial modulation (GSM); multi-input multi-output (MIMO); soft-input soft-output;

D O I：

10.1109/LSP.2015.2498147

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Generalized spatial modulation (GSM) is a recently proposed appealing multi-input multi-output (MIMO) transmission technique, which is capable of striking a tradeoff between the achievable transmission rate and the cost of radio frequency (RF) chains. In this letter, a novel low-complexity near-optimal soft decision (SoD)-aided detector is proposed for GSM, which considerably reduces the search space by employing a block minimum mean-squared error (B-MMSE) algorithm. Our simulation results show that the proposed detector is capable of achieving a better tradeoff between bit-error-rate (BER) performance and computational complexity compared with the existing matched filter (MF)based SoD algorithms.

引用

页码：30 / 34

页数：5

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