快速DOA估计算法研究

Research into Fast DOA Estimation Algorithm

针对传统多信号分类(MUISC)算法运算量大、复杂度高、不利于工程实现的问题,对MUSIC算法的快速到达方向(DOA)估计进行了研究。使用传播算子(PM)算法与对称压缩谱相结合的测向方式实现快速DOA估计,首先通过协方差矩阵划分的方式,直接求出与噪声子空间等价的传播算子矩阵,避免了特征分解较高的计算复杂度和运算量,然后再通过对称压缩谱算法优化谱峰搜索,使得谱峰搜索的运算量减半。通过谱压缩的求解方法会产生镜像对称的入射角,最后对模糊值进行解模糊即可获得正确的入射角。通过仿真验证,该算法具有较好的估计性能。

This paper studies the rapid direction of arrival(DOA)estimation of multiple signal classification(MUISC)algorithm aiming at the problems such as large amount of calculation,high complexity,dislommudious engineering application,etc.for traditional MUISC algorithms.Fast DOA estimation is achieved through the direction-finding mode combining propagation method(PM)algorithm with symmetric compressed spectrum.First,the propagation operator matrix equivalent to the noise subspace is directly obtained by dividing the covariance matrix,which avoids the high computational complexity and amount of calculation of eigenvalue decomposition.Then the peak search is optimized through the symmetric compression spectrum algorithm,which reduces the calculation amount of the peak search by half.The solution method of symmetric compression spectrum will produce a mirror-symmetrical incident angle,and finally the blur value can be deblurred to obtain the correct incident angle.Through simulation verification,the algorithm has good estimation performance.