基于遗传算法的MIMO阵列位置误差自校正方法  

Self-Calibration Method Based on Genetic Algorithms for MIMO Array with Location Error

作　　者：刘帅[1] 

机构地区：[1]中国电子科技集团公司第二十研究所,西安710068

出　　处：《现代导航》2012年第3期182-189,共8页Modern Navigation

摘　　要：天线阵元的位置误差会影响天线阵元所接收到信号的相位。基于特征值分解的高分辨率波达方向(DOA)估计算法对信号的相位误差非常敏感。针对多输入多输出(MIMO)阵列,本文基于遗传算法,利用自校正思想,构造一个对不同方向空间谱值进行加权求和的自适应权函数,结合MUSIC方法,构建个体适应度函数,实现了MIMO阵列阵元位置误差与DOA的联合在线估计。仿真结果表明该方法进行DOA估计的同时,还可以完成阵列位置误差的在线估计与校正,提高了系统参数估计的鲁棒性。The phase of received array signal is influenced by the position error of antenna array element. The high-resolution direction of arrival （DOA） estimation algorithms based on eigenvalue decomposition is very sensitive to phase error of array signal. For a multiple-inpnt multiple-output （MIMO） array, we utilize self-calibration thought and a self-calibration weighting function which can be used for the weighed sum of the spectrum values from different directions is constructed in this paper. We use the MUSIC method to construct a degree of adaptability function based on genetic algorithms, and a joint estimation for array location error and DOA is implemented. Simulation results show that this method can provide the estimation of DOA, also can complete the on-line estimation and calibrate the array location error at the same time. Finally, the robustness of system parameters is improved.

关 键 词：MIMO阵列 DOA 阵列位置误差 遗传算法 自校正 

分 类 号：TN957[电子电信—信号与信息处理]