基于遗传算法的无线信道矩阵优化技术  

Optimization of Wireless Channel Matrix Based on Genetic Algorithm

作　　者：刘金铸[1] 万翔[1] 

机构地区：[1]南京信息工程大学电子与信息工程学院,江苏南京210044

出　　处：《计算机仿真》2015年第1期224-228,共5页Computer Simulation

基　　金：省工业支撑计划(BE2011195)

摘　　要：在多用户无线通信系统,如何在消除信道间干扰的同时抑制噪声的增强,降低接收端信号检测的误码率是影响整个通信系统性能的重要问题。将各子信道的时状态信息联合构成信道状态矩阵H,然后结合遗传算法和格基约减算法提出了对信道矩阵H的优化方案,将矩阵H的各列向量看作给定格的一组基,在格中搜索到长度更短、正交性更强的一组格基构成改良矩阵珚H,进而在消除子信道间干扰的同时抑制噪声的增强。仿真结果表明,将矩阵优化算法应用到发射信号的预处理中可以有效地降低接收端信号检测的误码率,提高信号传输的可靠性。In multi-user wireless system, real-time wireless channel state information can constitutes a matrix H, then we will launch of signal preprocessing to eliminate the interference between sub-channels in the transmitter according to the matrix H. At the time of eliminating interference between sub-channels it often leads to a problem of noise enhanced for the matrix H is not ideal. This paper puts forward the optimization of channel matrix solution that combines genetic algorithm with lattice reduction algorithm, the column vectors of the matrix H can be seen as a set of base, then we can search for another set of lattice matrix with a shorter length and stronger orthogonality to make up an improved matrix H, then the noise is controlled not to enhance when eliminating the interference between the subchannels. The simulation results show that, when applied the algorithm to the MIMO precoding technology, this improved matrix algorithm can effectively reduce the system bit error rate and improve the reliability of signal transmission.

关 键 词：多输入多输出 格基约减 遗传算法 

分 类 号：TN911.7[电子电信—通信与信息系统]