文章针对阵元位置误差导致水听器阵列性能恶化的问题,提出一种适用于均匀线阵列的阵元位置无源校准方法.该方法综合远场阵列模型和宽带信号空间谱的特性,利用压缩感知技术,将阵元实际位置估计问题转化为稀疏信号的重建,建立了阵元位置误差模型,构建了相应的优化函数,并采用正交匹配追踪(Orthogonal Matching Pursuit,OMP)算法解算阵元实际位置.计算机仿真验证表明,基于压缩感知的方法能有效改善阵元位置误差造成的空间谱估计失效问题,可为目标方位角(Direction of Arrival,DOA)估计提供有效的技术支撑.
Compressed Sensing Based Position and DOA Estimation of Array Elements
To address the impact of array element position error on hydrophone array performance,we propose a passive calibration method for uniform line arrays.This method combines the far-field array model and the spatial spectrum of broadband signals.By utilizing compressed perception techniques,we transform the problem of estimating the actual position of array elements into sparse signal reconstruction.We establish a model for array element position error and construct an optimization function to solve it using the Orthogonal Matching Pursuit(OMP)algorithm.Computer simulation verifies that the method based on compressed sensing effectively improves the problem of failure in spatial spectrum estimation caused by the position error of the array element.
array signal processingarray element position errorcompressed perceptionDirection of Arrival(DOA)estimation
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