摘要

A new method called RCB-ETAM is proposed to solve the problem that the conventional passive aperture-synthesis methods for multi-target bearing estimation generally fail in the context of strong interferences. The method exploits the merits of beamspace processing techniques based on robust Capon beamformer(RCB) and the effective data restructuring ability of ETAM(Extended Towed Array Measurements). The method consists of following steps: The phases of different data section of the physical array are compensated to synthesize into a data matrix corresponding to a much longer virtual array by using advantage of the array linear movement and coherence of underwater signals; Then according to the virtual array data and directions of interferences, RCB method is used to adaptively adjust the weights for elements of virtual array such that several beams are formed in the scope of interest with each beam having deep nulls in the directions of interferences; Finally the virtual array data is transformed into the beam domain, and the conventional beamforming technique is used to find the target directions. Simulation results show that the proposed RCB-ETAM method has much better anti-interference ability than the conventional ETAM method, and yields quite correct bearing estimations even when ETAM completely fails.

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