摘要
提出一种在高斯白噪声下基于L型阵的二维相干源信号的DOA估计的方法。本算法首先通过对接收数据进行前向空间平滑来达到去相干目的,然后计算出3个×相关矩阵,用此构造一个3×大矩阵,并对其进行特征值分解,最后利用ESPRIT方法对方向角和仰角进行估计。本算法无需谱峰搜索,无相位模糊问题,且参数自动匹配,计算量较小。仿真结果证明了该方法的有效性。
Based on double parallel lines of the L-shaped larray, a method about coherent signals in the DOA estimated was preseented. Firstly, prior to receiving data smoothing space, calculation of the three m×m correlation matrix, use of these three correlation matrix structure of a large 3m× m matrix, and this large matrix eigenvalue decomposition, and the estimation of the angles of direction and elevation were achieved by the ESPR IT method. The algorithm does not require peak search, and has the characteristics of no phase fuzzy, automatical parameters matching, and the smaller amount of computation.
出处
《长春理工大学学报(自然科学版)》
2009年第2期245-247,238,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金(69872012)
吉林省基础研究计划基金(20030519)资助课题