Abstract:

In order to reduce the computational complexity and resolution threshold of the conventional rotational signal subspace (RSS) algorithm for wideband signals, the real value transforming process and the SSMUSIC method are introduced for central symmetric arrays to propose a new direction finding method for wideband sources. This method first transforms the complex data covariance matrices after forwardbackward smoothing at different frequencies into real ones by a leftreal transforming matrix, which achieves a substantial reduction of the computational load in later eigendecompositions. Then the conventional RSS algorithm is applied to get focusing matrices for different frequencies and these focusing matrices are further used to transform data covariance matrices into ones at a common reference frequency. Finally the direction of sources are obtained by onedimensional search of the maxima of an improved MUSIC estimator called SSMUSIC. Simulations show that the proposed method reduces not only the computational overhead but also the resolution threshold and MSE noticeably.