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提出一种非平稳信号的波达方向估计方法。该方法将时频分析引入阵列处理,通过参考阵元和两个对称子阵的互时频分布建立起一种时频域的阵列数据模型,用平均的时频阵列数据模型代替传统的阵列模型,采用子空间方法得到多个非平稳信号的波达方向估计。空间平均和时频分析的结合使得该方法具有很好的信号选择性和抗干扰噪声的性能,该方法还具有运算量小和处理非平稳信号的能力。
A non-stationary signal DOA estimation method is proposed. The method introduces time-frequency analysis into the array processing, establishes an array data model of time-frequency domain by using the time-frequency distribution of the reference array element and two symmetric subarrays, and replaces the traditional array model with the average time-frequency array data model , The DOA estimation of multiple non-stationary signals is obtained using subspace method. The combination of spatial averaging and time-frequency analysis makes this method have good signal selectivity and anti-interference noise performance. The proposed method also has the advantages of low computational complexity and ability to process non-stationary signals.