基于均匀圆阵的相干源三维参数估计算法

3-D Parameter Estimation Algorithm of Coherent Source Based on Uniform Circular Array

基于均匀圆阵,提出了一种宽频段信号频率和二维到达角联合估计的新方法—CTDS算法。通过对构造的波达矩阵进行特征分解,该算法能精确地估计具有相同数字频率的相干信号的三维参数,无需多维谱峰搜索,具有计算量小,三维参数自动配对的优点。另外,算法通过增加延迟抽头级数解相干,因此避免了通常的降维解相干算法引起的阵列孔径损失,同时减少了所需的阵元数。计算机仿真结果验证了算法的有效性。

Based on uniform circular array, a new method is presented to estimate the frequency and 2 - D arrival angles of coherent signals over a wide frequency band, which is called circular array-based time-domain smoothing （CTDS） algorithm. The algorithm can precisely estimate 3 - D parameters of coherent signals with same digital frequency by eigen-decomposition of the constructed DOA matrix, and doesn＇t need multidimensional spectrum peak search with smaller computational load and 3 - D parameters paired automatically. In addition, CTDS algorithm achieves the decorrelation by increasing the number of delay. So, it avoids the loss of aperture caused by decorrelation algorithm with dimensionality reduction and decreases the number of sensors. Computer simulation confirms its effectiveness.