The Wavelet in Signal Detection and Identification: Comparative Signal Processing Technology Evaluation Program has been conducted by Lockheed Missiles Space Company to develop wavelet based signal detection and classification techniques and compare them to Fourier time-frequency methods. The problem domain is submarine detection and identification using transient passive sonar signals. These nontraditional signals are critical in solving current Anti-Submarine Warfare (ASW) problems which include ultra quiet nuclear submarines and third world diesel submarines operating on batteries in shallow water. The Wavelets program supports the ARPA sponsored Multisensor Fusion System Program (MSF) at Lockheed (ARPA contract N00014-91-C-0237).
Wavelets in Signal Detection and Identification Comparative Signal Processing Technology Evaluation
1994
53 pages
Report
No indication
English
Acoustic Detection , Underwater Ordnance , Signal processing , Detection , Identification systems , Test and evaluation , Frequency , Developing nations , Transients , Time , Shallow water , Signals , Classification , Submarine detection , Submarines , Diesel engines , Multisensors , Sonar signals , Fourier analysis , Quiet , Nuclear fusion , Passive sonar , Nuclear powered submarines
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