Compressed Sensing Detector Design for Space Shift Keying in MIMO Systems

Abstract

Abstract-Space shift keying (SSK) modulation and its extension, the generalized SSK (GSSK), present an attractive framework for the emerging large-scale MIMO systems in reducing hardware costs. In SSK, the maximum likelihood (ML) detector incurs considerable computational complexities. We propose a compressed sensing based detector, NCS, by formulating the SSK-type detection criterion as a convex optimization problem. The proposed NCS requires only O(ntNrNt) complexity, outperforming the O(NrN nt t ) complexity in the ML detector, at the cost of slight fidelity degradation. Simulations are conducted to substantiate the analytical derivation and the detection accuracy.

Compressed-Sensing Assisted Spatial Multiplexing Aided Spatial Modulation

“…Specifically, the detection consists of three steps. First, we obtain a legitimate TAĈ I and the corresponding symbol vectorŝ using Orthogonal Matching Pursuit (OMP) algorithms [23]. Secondly, the estimated signal (Î,ŝ) is judged reliable or unreliable by comparing it to a preset threshold.…”

“…Fortunately, a variety of low-complexity detectors have also been developed for the GSM scheme in [17]- [27]. More specifically, low-complexity Compressive Sensing (CS) based detectors are developed in [23]- [27], which exploit sparsity of GSM symbols. The Efficient CS (ECS) detectors of [27] are particularly attractive since they approach the ML detector's performance, despite their significantly reduced complexity in large-scale GSM systems, when using a small value of N u .…”

Normalized Structured Compressed Sensing Based Signal Detection in Spatial Modulation 3D-MIMO Systems

“…After the normalization preprocessing, the noise will not be overamplified by the column vector with inadequately large elements [26].…”

A Compressed Sensing-Based Signal Recovery Technique for Multi-User Spatial Modulation Systems

“…공간변조 [3] , 2명 이상의 사용자가 존재하는 시 스템 환경을 가정한 경우에는 Maximum Likelihood (ML) 검출기법을 고려하여 송신신호를 복원하였다 [4] . 그러나 ML 최근 공간변조 시스템에서 압축센싱기법을 이용하 여 활성화된 안테나 인덱스를 검출하는 기법이 제안 되었다 [8] . [8] [9] .…”

“…그러나 ML 최근 공간변조 시스템에서 압축센싱기법을 이용하 여 활성화된 안테나 인덱스를 검출하는 기법이 제안 되었다 [8] . [8] [9] . [9]에서는 압축센싱 알고리 즘과 기존의 다중사용자 검출기법을 결합한 알고리즘 이 제시되었고 압축센싱기법으로는 OMP알고리즘이 고려되었다.…”