摘要
为了提高色噪声背景下空间谱估计多重信号分类(MUSIC)算法的分辨率,根据诱饵信号覆盖雷达信号时,实际被动测向系统接收脉冲信号部分重合的特点,提出了一种色噪声背景下空间谱估计的新方法。首先对接收数据进行分段,然后估计每段数据的信源数,最后对各段接收数据的协方差矩阵对角线进行归一化,利用协方差差值MUSIC算法,给出各信号的协方差矩阵,通过多次谱峰搜索,分步得到信号波达方向(DOA)估计结果。计算机仿真及实际系统测试均验证了所提出的方法是可行的。
In order to improve the resolution of spatial spectrum estimation multiple signal classification （MUSIC） algorithm in the presence of colored noise fields, a new spatial spectrum estimation method was proposed. This method is based on the receiving characteristic of pulse signals in an actual direction finding system, when decoy signals overlap radar signals. In this method, first, the receiving data are divided into several segments; then the number of signals of every receiving data segment is estimated; finally, the covariance matrix of every receiving data segment is normalized by covariance matrix diagonal elements. The covariance matrix of every signal is given by using covariance difference MUSIC algorithm. By searching spectrum peak, the result of Direction of Arrival （DOA） estimation can be obtained step by step. Both simulation and test based on actual direction finding system prove the proposed method realizable.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2014年第2期490-496,共7页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(61201410/F010301)
中央高校基本科研业务费重点专项项目(HEUCFZ1215)
