Compressed Sensing based Detection Schemes for Differential Spatial Modulation in Visible Light Communication Systems

TL;DR

This paper introduces a novel detection algorithm for differential spatial modulation in visible light communication systems, significantly reducing computational complexity while maintaining excellent bit error rate performance.

Contribution

It proposes a vector correction-based OMP detection algorithm and an OMP-assisted genetic algorithm to enhance detection efficiency and performance in VLC-DSM systems.

Findings

Reduces computational complexity by at least 62.5%.

Achieves excellent BER performance compared to traditional methods.

Improves demodulation accuracy through novel correction and optimization techniques.

Abstract

Differential spatial modulation (DSM) exploits the time dimension to facilitate the differential modulation, which can perfectly avoid the challenge in acquiring of heavily entangled channel state information of visible light communication (VLC) system. However, it has huge search space and high complexity for large number of transmitters. In this paper, a novel vector correction (VC)-based orthogonal matching pursuit (OMP) detection algorithm is proposed to reduce the complexity, which exploits the sparsity and relativity of all transmitters, and then employs a novel correction criterion by correcting the index vectors of the error estimation for improving the demodulation performance. To overcome the local optimum dilemma in the atoms searching, an OMP-assisted genetic algorithm is also proposed to further improve the bit error rate (BER) performance of the VLC-DSM system. Simulation results demonstrate that the proposed schemes can significantly reduce the computational complexity at least by 62.5% while achieving an excellent BER performance as compared with traditional maximum likelihood based receiver.