Cooperative Detection for Ambient Backscatter Assisted Generalized Spatial Modulation

In this paper, we propose a Bayesian cooperative detection algorithm for ambient backscatter assisted generalized spatial modulation (AB-GSM) system, which recovers information from both the ambient backscatter sensor (ABS) and the generalized spatial modulation (GSM) source. To exploit the inherent sparsity of GSM, we adopt a two-layer hierarchical prior model for source symbol. Moreover, we derive linear detectors for comparison. Simulation results show that the proposed algorithm can achieve a superior detection accuracy than linear detectors in under-determined AB-GSM systems.