Low-frequency signals detection and identification as a key point of software for surveillance and security applications

Alexander A. Pakhomov

doi:10.1117/12.855080

5 May 2010 Low-frequency signals detection and identification as a key point of software for surveillance and security applications

Alexander A. Pakhomov

Author Affiliations +

Proceedings Volume 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX; 766629 (2010) https://doi.org/10.1117/12.855080
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Various passive as well as active surveillance and security systems try to detect and identify very low frequency signals. Diversity of such real time working systems is very broad. Those are seismic, acoustic, hydroacoustic, IR, ultrasound, etc. systems. Detected target spectrum is also broad: from human motion on the ground surface and under water to lownoise submarines. In real application corresponding signals have poor signal-to-noise ratio, unstable shape and amplitude, short duration, and even missing parts of the signal. This paper describes test records of some raw seismic, acoustic, acoustic-seismic, hydroacoustic, and IR signals with proper characteristics. We investigate those signals specifics and possible approach to target oriented reliable signal processing that allows drastically increasing detection range and reducing false alarm rate. We also report on the preliminary field-testing that was implemented with active ultrasonic detector.

Citation Download Citation

Alexander A. Pakhomov "Low-frequency signals detection and identification as a key point of software for surveillance and security applications", Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 766629 (5 May 2010); https://doi.org/10.1117/12.855080

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