Low-Complexity Signal Detection for Large-Scale Quadrature Spatial Modulation Systems

In this letter, a novel low-complexity detector based on the concept of compressive sensing (CS) is proposed for a novel multiple-input multiple-output system, namely, quadrature spatial modulation (QSM). In particular, the CS algorithm is performed in the real-valued system model, and the activated antenna indices, which are used to transmit the real and imaginary parts of QSM symbols, can be estimated separately. In order to further improve the performance of QSM, a novel search strategy is proposed. Simulation results show that the proposed detector is capable of achieving a considerable reduction in complexity compared with the maximum likelihood counterpart with negligible performance loss.