雷达信号阵列处理与检测

ARRAY PROCESSING AND DETECTION FOR RADAR SIGNALS

雷达信号阵列处理的主要目的就是从噪声、干扰和别的信号环境中估计传输波信源的方向角。根据经典多维谱估计理论,本文论述了提取微弱雷达信号信息的概念和实现方法。 为了改善角谱分辨率,本文还系统地阐明了通过计算平面阵列接收数据空间自相关矩阵,并根据其特征分解所得到的信号子空间和噪声子空间的特征向量相互垂直的概念,计算出所谓高分辨角谱。本文还提出了一种MUSIC谱的修正算法,可以减少正交投影的计算量。

The principal object of array processing for radar signals is to estimate the direction of propagating waves separated from environment of noise, interference or even other signals. Based on the classical multidimensional spectral estimation, the concept and implementation of extracting information from a signal with weak energy are discussed.In order to improve the resolution of spectral estimation, the paper also deals with the high resolution spectral estimation, which consists of approaches using spacialautocorrelation matrix computed from a series of data received from the planar array. According to the matrix and its eigendecomposition, the eigenvectors of signal subspace and noise subspace corresponding to distinct eigenvalues are obtained to yield orthogonal eigenvectors. The method mentioned is called multiple signal classification (MUSIC) algorithm. A modified MUSIC algorithm presented in the paper can significantly reduce the computations of orthogonal projections.