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出 处:《现代电子技术》2007年第9期14-15,18,共3页Modern Electronics Technique
摘 要:引用了两种修正相关矩阵最大似然(ML)估计的方法对MUSIC算法进行优化,对相干信源的波达方向(DOA)进行估计。前向空间平滑算法要求阵列的平移不变性,将阵列划分为若干相互交叠的子阵;前向-后向空间平滑要求阵列的旋转不变性,应用了相关矩阵的倒置矩阵。两种方法均可以修正阵列接收信号的相关矩阵的最大似然估计,使之满足MUSIC算法的前提条件。计算机仿真证明两种算法改善了传统的MUSIC算法对相干信源进行DOA估计的性能,前向-后向空间平滑算法作出了比较准确地估计。Two methods are introduced to modify the Maximum Likelihood (ML) estimate of the correlation matrix so that MUSIC algoritm is optimized. Modified algoritms are used to estimate DOA of coherent signals. Forward Spatial Smoothing algoritm requires a translational invariant property and the array antenna is split into a number of overlapping subarrays, Forward/Backward Spatial Smoothing algoritm requires a circular invariant property and the transpose of correlation matrix is used. Both of the two algoritms can modify the ML estimate of the correlation matrix to meet the precondition of MUSIC algoritm. The simulation result show that the performance of MUSIC algortim in DOA estimation of coherent signals is optimized by the two methods. Forward/Backward Spatial Smoothing play a veracious DOA estimation of coherent signals.
分 类 号:TN953[电子电信—信号与信息处理]
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