广义空间调制系统的稀疏检测算法

Sparse Detection Algorithm for Generalized Spatial Modulation Systems

空间调制技术作为一种新颖的多天线传输技术,这些年来受到业界的广泛关注,从单一激活天线的空间调制已扩展到多根激活天线的广义空间调制,进一步提高了频带效率。但是,采用多根激活天线发送也给系统的解调带来了困难。由于多激活天线的使用,最大似然(ML)检测算法的计算复杂度将随着激活天线数的增加呈指数增加,是一个NP-hard问题。针对上述问题,本文利用空间调制信号本身固有的稀疏特性,提出了一种次最优检测算法,新算法可以在保证检测性能的前提下,大大降低算法的计算量。不仅如此,由于稀疏性的引入,新算法还可以应用到发送天线数大于接收天线数的情况,计算机仿真试验验证了其有效性。

Spatial modulation （SM） has received much attention recently as a novel multi-antenna technology. The spa- tial modulation with single-active antenna has been expanded to generalized spatial modulation with muhi-active antenna, further improving the transmission rate. However, this makes the demodulation more difficult. The complexity of ML detec- tion algorithm will increase exponentially with the augment of activated antenna, and then the ML algorithm becomes a NP- hard problem. To solve these issues, we exploited the inherent sparse property of the spatial modulation signal and proposed a sub-optimal detection algorithm. Our numerical experiments show 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.