The Study Of Spatial Modulation Technology

A key challenge of future mobile communication research is to strike an attractive compromise between wireless network’s area spectral efficiency and energy effi-ciency. This motivates the proposal of a novel wireless communications concept conceived for future communicational system, which is termed as Spatial Modulation (SM). SM has received much attention recently as a novel and promising multi-antenna technology, where the study is mainly focused on the transmitter and the receiver. Based on these, we do research about the antenna selection approach at the transmitter and the low-complexity detection algorithm at the receiver. The main work of the thesis is as follows:Firstly, spatial diversity and spatial multiplexing are studied briefly through taking the Alamouti and Vertical Bell Labs layered space-time structure (V-BLAST) for example in this thesis. Secondly, the system model of SM and generalized spatial modulation technology (GSM) are discussed in details, and the BER performance comparison of the spatial modulation system, V-BLAST system and Alamouti system are provided.The simulation results further validate the superiority of SM technology. Moreover, we also analyze the influence of various parameters on the performance of SM system. Some useful conclusions are obtained which can provide a good reference for the practical application. Finally, some detection algorithms about SM are focused and analyzed by simulation. Meanwhile, we summarize the merits and drawbacks of various detection algorithms.Then, we deeply discuss the effect of the antenna selection techniques at the transmitter on SM system, and prove the necessity of using antenna selection techniques. Subsequently, detailed analysis of the existing main antenna selection algorithms are presented here, especially EDAS algorithm, on which we have an in-depth discussion, finding and proving some interesting features. Through defining the rotational symmetry set, we propose one antenna selection algorithm, dubbed EDAS-FRLC, which is on the basis of the existing EDAS antenna selection algorithm. The computational complexity of the proposed algorithm is greatly reduced simultaneously obtaining the same performance compared with that of EDAS.Finally, using multi-active antenna makes the demodulation more difficult. The complexity of ML detection algorithm will increase exponentially with the augment of activated antenna, and then the ML algorithm becomes a NP-hard problem. To solve these problems, we exploited the inherent sparse property of the spatial modulation signal and proposed a novel sub-optimal detection algorithm. Our numerical experiments indicate that the proposed algorithm can guarantee the detection performance as well as reducing the complexity. Moreover, due to the use of sparsity, our proposed approach can also be applied in the underdetermined system.