A low-complexity detection algorithm for quadrature spatial modulation systems

Kai LUO; Junwei HUANG; Pengguang ZHOU; Hao XU; Can WU

doi:10.11959/j.issn.1000−0801.2017121

您当前的位置：

首页 >

文章列表页 >

A low-complexity detection algorithm for quadrature spatial modulation systems

research and development | 更新时间：2024-06-05

- A low-complexity detection algorithm for quadrature spatial modulation systems
- Telecommunications Science Vol. 33, Issue 5, Pages: 75-81(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000−0801.2017121
  CLC： TN911.3
- Published Online：2017-05，
  
  Published：15 May 2017
- 稿件说明：
移动端阅览
Kai LUO, Junwei HUANG, Pengguang ZHOU, et al. A low-complexity detection algorithm for quadrature spatial modulation systems[J]. Telecommunications science, 2017, 33(5): 75-81.
DOI：

Kai LUO, Junwei HUANG, Pengguang ZHOU, et al. A low-complexity detection algorithm for quadrature spatial modulation systems[J]. Telecommunications science, 2017, 33(5): 75-81. DOI： 10.11959/j.issn.1000−0801.2017121.

摘要

针对正交空间调制（QSM）系统中激活天线数的不确定性、最大似然（ML）检测算法复杂度极高的缺点，提出了一种低复杂度检测算法。首先，该算法基于压缩感知（CS）信号重构理论，对系统模型进行重构，使固定激活天线系统中的低复杂度算法可以在新的系统模型中使用；然后，借鉴正交匹配追踪（OMP）算法的思想，选出一个激活天线备选集；最后，通过 ML 算法搜索备选集，选出激活天线和调制符号。仿真结果显示，相比ML检测算法，所提算法在性能丢失较小的情况下，降低了约90%的复杂度。

Abstract

To tackle the issues of the uncertainty number of the activated antennas and high computational complexity of maximum likelihood (ML) detection algorithm in quadrature spatial modulation (QSM)

a low-complexity detec-tion algorithm was proposed.Firstly

the system model was reconstructed into a new model suitable for low-complexity detection algorithms in fixed active antennas systems based on compressed sensing (CS) signal re-construction theory.Then

based on the idea of orthogonal matching pursuit (OMP) algorithm and reconstructed model

a candidate set of activated antennas was obtained.Lastly

using ML algorithm to search the candidate

the index of activated antennas and the modulation symbol were selected.Simulation results show that the proposed de-tector is capable of achieving about 90% reduction in complexity with low performance loss compared with ML al-gorithm.

关键词

Keywords

references

王胡成，徐晖，程志密，等 . 5G 网络技术研究现状和发展趋势 [J ] . 电信科学， 2015 , 31 ( 9 ): 156 - 162 .

WANG H C , XU H , CHENG Z M , et al . Current research and devel-opment trend of 5G network technologies [J ] . Telecommuni- ca-tions Science , 2015 , 31 ( 9 ): 156 - 162 .

阳析，金石 . 大规模 MIMO 系统传输关键技术研究进展 [J ] . 电信科学， 2015 , 31 ( 5 ): 28 - 35 .

YANG X , JIN S . Overview of key technologies of transmission in massive MIMO system [J ] . Telecommunications Science , 2015 , 31 ( 5 ): 28 - 35 .

MESLEH R , IKKI S S , AGGOUNE H M . Quadrature spatial modulation [J ] . IEEE Transactions on Vehicular Technology , 2015 , 64 ( 6 ): 2738 - 2742 .

WANG J , JIA S , SONG J . Generalised spatial modulation system with multiple active transmit antennas and low complexity detection scheme [J ] . IEEE Transactions on Wireless Communi-cations , 2012 , 11 ( 4 ): 1605 - 1615 .

SUN Y , WANG J , HE L . Iterative zero forcing detection scheme for generalised spatial modulation [C ] // IEEE International Symposium on Broadband Multimedia Systems and Broadcasting,June 17-19,2015,Ghent,Belgium . New Jersey : IEEE Press , 2015 : 1 - 4 .

XIAO Y , YANG Z , DAN L , et al . Low-complexity signal detection for generalized spatial modulation [J ] . IEEE Communications Let-ters , 2014 , 18 ( 3 ): 403 - 406 .

CHEN C E , LI C H , HUANG Y H . An improved ordered-block mmse detector for generalized spatial modulation [J ] . IEEE Communications Letters , 2015 , 19 ( 5 ): 1 .

XIAO L , YANG P , XIAO Y , et al . Efficient compressed sensing detectors for generalized spatial modulation systems [J ] . IEEE Transactions on Vehicular Technology , 2017 ( 99 ): 1 .

LIU W , WANG N , JIN M , et al . Denoising detection for the generalized spatial modulation system using sparse property [J ] . IEEE Communications Letters , 2014 , 18 ( 1 ): 22 - 25 .

CANDÈS E J . Compressive sampling [J ] . Marta Sanz Solé , 2006 , 17 ( 2 ): 1433 - 1452 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Distributed IOS-SM transmission scheme with joint antenna and IOS unit selection for high-speed railway scenario

Anti-collision online early warning method for construction machinery around transmission line

A reduced-complexity compressed sensing channel estimation for underwater acoustic channel

Compressed sensing subspace pursuit algorithm based on two stagewise weak selection

Energy-efficient data gathering scheme based on Kalman prediction and compressed sensing

Related Author

Song WANG

Qingfeng DING

Zhefei WANG

Runping HE

Qiang TIAN

Linwei HE

Wei XIE

Chaojie CHEN

Related Institution

State Grid Shanghai Electric Power Company Qingpu Power Supply Company

Shanghai Siliang Electronic Technology Co., Ltd.

China GRIDCOM Co.,Ltd.

Tianjin University of Science＆Technology

Institute of Communication Technology, Ningbo University

⁰