空间相干信号的频率和二维到达角估计算法

针对宽频段窄带信号的参数估计,提出了一种空间相干信号频率和二维到达角联合估计的算法——TSS-DOA算法。TSS-DOA算法利用双平行线阵的时空数据以及平滑技术构造了一个时空平滑矩阵,通过对其进行特征分解,并利用分解得到的特征值和特征矢量估计出空间相干信号的三维参数。该算法能精确地估计信号的三维参数,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,并有效地解决了信源参数兼并问题。计算机仿真结果验证了算法的有效性。

Estimation of both the frequency and 2-D arrival angles of coherent signals

A new time-space smoothing DOA algorithm(TSS-DOA) is proposed for joint estimation of both the frequency and 2-D arrival angles of coherent signals over a wide frequency band.Firstly the time-space smoothing matrix is constructed by the temporal and spatial data of two parallel uniform linear arrays and the smoothing technique,and then 3-D parameters of coherent signals can be obtained from its eigenvalues and the corresponding eigenvectors.The algorithm can precisely estimate the 3-D parameters of coherent signals and doesn't need the multidimensional spectrum peak search,and it still has the advantage of smaller computational load and pairs the parameters automatically.In addition,it can still estimate the 3-D parameters of signals correctly when signals have the same one or two dimensional parameters.Simulation results show that the proposed algorithm is effective.