基于时频阵列模型的波达方向估计

Direction of arrival estimating using array model in time-frequency domain

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。

The time-frequency analysis is combined with array processing to develop a DOA (Direction of Arrival) estimation method. The array data model is constructed in time-frequency domain by cross time-frequency distribution of the reference sensor and other sensors of the two symmetric sub-arrays. Accordingly the subspace approach is performed on the averaging of the two sub-arrays' time-frequency data vector instead of the traditional array model, to estimate the DOAs of multiple signals. Because the array data is processed both in spatial domain and 2-D time-frequency domain, the proposed method has the ability to select the signal of interesting, and is suitable for non-stationary signals. Additionally, the method is robust to noise and holds the advantage of low computational burden. Simulations are conducted to verify the efficiency of the method and comparision is made with other methods.