Military Targets Endpoint Detection Based on Gray Correlation Analysis

To real-time classify military target signal and noise under non-stationary non-Gauss noise effectively, an edge detection method based on gray correlation analysis algorithm is proposed through analyzing ZCR LPC feature from military target signal. Simulation results indicate detection rate reached 100% under the clean acoustic signal and more than 80% corresponding the noise level of -5 dB. This algorithm is effective under non-stationary non-Gauss noise and the detection efficiency and performance are superior to other algorithms.