Three Methods for Beam Sharpening and Multi-Target Azimuth Discrimination

To enhance azimuth discrimination of torpedo homing system for large-scale multi-highlight target detailed feature extraction and recognition, accurate orientation, and multi-target azimuth discrimination, etc., three methods are presented for sharpening Hyperbeam, Doppler beam, and linear prediction based virtual elements extended array beam. And their performances of multi-target azimuth discrimination are analyzed. The theoretical models of the beam sharp-ening methods are discussed in detail, and are verified by simulations. Experiments show that the Hyperbeam sharpening method is effective in the case of single target but not available for multi-target conditions, while the other two methods are more applicable for azimuth discrimination of multi coherent targets.