A Novel Detection Scheme for Generalized Spatial Modulation System Based on Sparse Reconstruction

Aiming at the problem of high complexity of traditional detection algorithms for generalized spatial modulation system.the theory of compressed sensing was used to construct a signal detection model. According to the sparse property of generalized spatial modulation signals, a stagewise orthogonal matching pursuit detection algorithm based on sparse reconstruction was proposed. The active antenna index sequence was selected according to the correlation threshold judgment and the foreseen sparsity was not needed in the iterative process of the algorithm, the index set and signal residuals were updated.then the sent data was restored based on optimized termination condition and signal quantization. Analysis and experiments show the algorithm has smaller root mean square error and the detection performance is improved compared with reconstruction algorithms of the same category,and has substantially lower complexity compared with the maximum likelihood algorithm.