AN APPROACH FOR HIGHER-ORDER CYCLOSTATIONARITY BASED DOA ESTIMATION OF MULTIPATH SIGNALS WITHOUT EIGENDECOMPOSITION AND SPATIAL SMOOTHING

摘要

In this paper, we propose a higher order cyclostationarity based direction of arrival (DOA) estimation approach for multipath signals without eigendecomposition and spatial smoothing. In the approach, by using a combination of higher order cyclic statistics (HOCS) and a forward-backward subarray scheme, the coherency of multiple signals of interest (SOIs) are de-correlated and the performance of signal selectivity and interference suppression is improved. To reduce the computation load in order to adapt to tracking moving sources, the need for computation of the eigenvalue decomposition (EVD) or the singular value decomposition (SVD) is avoided by linear operations based on fourth-order cyclic cumulant matrix.