【作者】 王玲； 杜惠平； 蒋泽；

【Author】 Wang Ling, Du Huiping, Jiang ZeChongqing University of Posts and Telecommunications, Chongqing 400065

【机构】 重庆邮电学院；

【摘要】 本文从分析阵列天线输出的理想自相关矩阵及其特征结构出发,通过引入相对逼近因子的定义,讨论了实际阵列天线输出样本的自相关矩阵与连续采样情形下自相关矩阵的差别,及其与采样快拍数、信号的相关性、信号与噪声之间的正交性以及噪声的正交性等因素的关系。通过数值计算,具体分析了不同情形下,样本自相关矩阵收敛于理想自相关矩阵的速度变化。更多还原

【Abstract】 The analysis on the output auto-covariance matrix of array and its eigenvector decomposition plays an important role in array techniques, both for algorithm optimization and parameter regularization. In this paper, with definition of a relative convergence factor between the resulted eigenvectors, the difference between the sampled auto-covariance matrix and the ideal one is measured. Thus, the different impacts on the relative convergence factor from several factors, such as the correlation coefficient between signals, orthogonalities between signals and between signals and noises, and the snapshots etc., is evaluated numerically in a specified scenario, which is expected to be helpful in effective array design.更多还原