宽带信号广义谱相关子空间拟合二维来波方向估计

Two-Dimensional Direction of Arrival Estimation of Broadband Signals via Generalized Spectral Correlation Signal Subspace Fitting

提出了一种新的宽带信号二维来波方向 (DOA)估计方法———二维广义谱相关子空间拟合方法 .该方法充分利用循环相关运算可以将时延变换为相移这一性质 ,结合一维GSC SSF方法和DOA矩阵方法的基本思想 ,可以方便、有效地对各种带宽的信号进行二维DOA估计 .理论分析与仿真结果表明 ,该方法既继承了循环平稳谱估计方法在信号选择性、测向精度、分辨率、过载能力、检测能力等方面的优势 ,又具有DOA矩阵方法无需二维谱峰搜索和参数配对的特点 ,具有很好的实用性 .

A novel method for estimating 2D direction of arrival (DOA) of broadband signals is proposed. It is called two-dimensional generalized spectral correlation signal subspace fitting or 2D GSC-SSF. Exploiting the property that the cyclic correlation operation transfers the time delay of the signal to phase shift of the cyclic autocorrelation function, the method combines the features of the GSC-SSF and DOA matrix method and is capable of estimating 2D DOA of both narrowband and broadband signals effectively. The theoretical analysis and simulation results show that the method inherits the advantages of cyclic DOA estimation methods in signal selectivity, accuracy, resolution, overload ability and detecting ability, and also possesses the same features as the DOA matrix method, i.e., no 2D search or parameter alignment is needed.