We propose a new blind spatial correlation subtraction (BSCS) method combined with conventional beam former (CBF), blind source separation (BSS) and minimum variance distortion less response (MVDR) algorithm for tow-ship interference suppression and targetsȁ9; bearing estimation. In BSCS, firstly, CBF is utilized as a tow-ship noise estimator and the BSS based on frequency domain is used to extract acoustic contact components from the array data. Then, two steps that correlation and spectrum subtraction are performed between the CBFȁ9;s beams and the BSSȁ9;s outputs. Finally, for the sake of bearing estimation, the BSCS method maps the subtracted BSSȁ9;s output back to observation space, based on which classic MVDR method is used to obtain the interested targetsȁ9; bearings. The towed array simulation data and sea trial result reveal that the tow-ship interference suppression and weak targets detection capability of the proposed BSCS are superior to the classic MVDR method.
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