Title :
Military Targets Endpoint Detection Based on Gray Correlation Analysis
Author :
Hu, Shengliang ; Li, Yaobo ; Cheng, Zhifeng ; Chen, Gong
Author_Institution :
Electron. Eng. Coll., Naval Univ. of Eng., Wuhan
Abstract :
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.
Keywords :
acoustic signal processing; edge detection; military computing; noise; signal classification; target tracking; ZCR LPC feature analysis; acoustic signal; edge detection method; gray correlation analysis; military target signal classification; military targets endpoint detection; nonstationary nonGauss noise; Acoustic noise; Acoustic signal detection; Acoustical engineering; Algorithm design and analysis; Background noise; Educational institutions; Signal analysis; Target recognition; Weapons; Working environment noise;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.357
