Acoustic target detection, tracking, classification, and location in a multiple-target environment

Russell Braunling; Randy M. Jensen; Michael A. Gallo

doi:10.1117/12.280662

24 July 1997 Acoustic target detection, tracking, classification, and location in a multiple-target environment

Russell Braunling, Randy M. Jensen, Michael A. Gallo

Proceedings Volume 3081, Peace and Wartime Applications and Technical Issues for Unattended Ground Sensors; (1997) https://doi.org/10.1117/12.280662
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Commercially available Digital Signal Processors can be used to host state-of-the-art air acoustic adaptive beamforming algorithms in low power, low cost, real-time sensor systems. These systems are suitable for use as both unattended ground sensors and in platform-mounted applications. This paper describes a compact state-of-the-art, real-time adaptive beamforming approach and sensor hardware. Recent day/night field test results for detection range, multiple target tracking, and classification are presented for various vehicles. The data focuses on long range target detection as well as tracking and classification performance in multiple target environments composed of closely spaced or clustered targets. Target location (x-y position) performance using real-time netted sensors (sensor fusion) is also presented.

Citation Download Citation

Russell Braunling, Randy M. Jensen, and Michael A. Gallo "Acoustic target detection, tracking, classification, and location in a multiple-target environment", Proc. SPIE 3081, Peace and Wartime Applications and Technical Issues for Unattended Ground Sensors, (24 July 1997); https://doi.org/10.1117/12.280662

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