Distribution Feature Extraction and Simulation of Submarine Echo Highlights Based on Target Azimuth Trend

Due to the feature extraction method of conventional submarine echo highlight calculates only the azimuth on limited peak points to analyze the target highlight feature, and the robustness is poor. This paper proposes a distribution feature extraction method of submarine echo highlights based on target azimuth trend, by mainly using the characteris-tics that the amplitude of target echo signal is larger than that of noise and the sub-echo signals from the same strong highlight signal embody approximate azimuth and distance information, and combining with the technique of dou-ble-channel short-time cross-spectrum. Firstly, the feature of target azimuth trend is obtained with the technique of dou-ble-channel short-time cross-spectrum. Secondly, the sub-echo signal series is classified by mainly using energy decision and the sub-echo signals′ azimuth and distance information, and then the spatial distribution feature of submarine echo highlights is achieved. Simulation results show that the proposed method is more robust than the conventional method. This study may provide a reference for analysis of submarine acoustic characteristics and acoustic countermeasure system.