基于循环平稳特性的源信号到达角估计方法

Direction-of-Arrival Estimation of Signal Sources Exploiting Cyclostationarity Property

分析了SC SSF算法的不足 ,给出了统一的循环频域阵列信号模型 ,并推导得到了一般化的基于信号循环平稳特性的源信号到达角估计方法———GSC SSF算法 ,该算法克服了SC SSF算法的不足 ,具有更好的实用性 .仿真试验比较了两种方法的估计性能 。

The man-made cyclostationary signals have been widely used in many fields, such as signal detection, parameters estimation and beam forming etc., because of its special property of cyclostationarity and periodicity. An effective algorithm referred to as the SC-SSF method has been developed by G. H. Xu to estimate direction of arrival (DOA) of radio waves impinging on the sensor arrays. But it is inconvenient to be put into practice in many practical applications, due to the difficulty in determining the size of the data matrix. To solve such a problem, a solution is introduced in this paper in detail. It analyzes the disadvantage of SC-SSF algorithm at first. And then a more general array signal model is obtained by passing the spectral autocorrelation function through a specifically designed filter. Thus a new DOA estimation method based on the new array signal model is developed as generalized SC-SSF (GSC-SSF),which utilizes MUSIC or ESPRIT algorithm to accomplish the DOA estimation. With the simulation, the new method proves to be more convenient and effective than SC-SSF in suppressing noises and forming the data matrix (or called the covariance matrix).