摘要
针对天线组阵中常用的合成算法在非均匀组阵下合成性能较差的问题,提出了一种基于互相关矩阵信息挖掘的合成算法。该算法根据最优权值幅度与各路噪声功率之间的关系,并结合利用互相关矩阵交替迭代估计合成权值与噪声协方差矩阵,得到最佳复权值向量。理论推导与仿真结果均表明,该算法近似等价为基于MSNR准则的Eigen算法,在非均匀组阵中的合成权值幅度接近于理论值,合成损失明显低于现有算法,而且收敛速度、运算量与现有文献算法相当,在"异构/异地"组阵中具有重要的工程应用价值。
A combining algorithm for non-uniform antenna arraying based on correlation matrix information mining is proposed to improve the poor performance of the normal algorithm.According to the relation between optimal weight amplitude and each noise power, the optimal complex weight vector can be attained by using correlation matrix to alternately and iteratively estimate combining weight and noise covariance matrix.Theoretical analysis and numerical simulations have demonstrated that the novel algorithm is approximately equal to Eigen algorithm which yields the largest SNR.The combining weight amplitude of the novel algorithm for non-uniform antenna arraying is much closer to the theoretical value,so the novel algorithm has far less combining loss than the algorithm in literature, with comparable convergence speed and computation complexity. The novel algorithm has important engineering application value in comprising antennas in ＂different configuration/site＂ antenna arraying.
出处
《无线电工程》
2017年第5期10-14,共5页
Radio Engineering
关键词
天线组阵
合成算法
互相关矩阵
非均匀组阵
antenna arraying
combining algorithm
correlation matrix
non-uniform arraying
