Algorithm for classifying multiple targets using acoustic signatures

Thyagaraju Damarla; Tien Pham; Douglas Lake

doi:10.1117/12.544523

9 August 2004 Algorithm for classifying multiple targets using acoustic signatures

Thyagaraju Damarla, Tien Pham, Douglas Lake

Proceedings Volume 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII; (2004) https://doi.org/10.1117/12.544523
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

In this paper we discuss an algorithm for classification and identification of multiple targets using acoustic signatures. We use a Multi-Variate Gaussian (MVG) classifier for classifying individual targets based on the relative amplitudes of the extracted harmonic set of frequencies. The classifier is trained on high signal-to-noise ratio data for individual targets. In order to classify and further identify each target in a multi-target environment (e.g., a convoy), we first perform bearing tracking and data association. Once the bearings of the targets present are established, we next beamform in the direction of each individual target to spatially isolate it from the other targets (or interferers). Then, we further process and extract a harmonic feature set from each beamformed output. Finally, we apply the MVG classifier on each harmonic feature set for vehicle classification and identification. We present classification/identification results for convoys of three to five ground vehicles.

Citation Download Citation

Thyagaraju Damarla, Tien Pham, and Douglas Lake "Algorithm for classifying multiple targets using acoustic signatures", Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); https://doi.org/10.1117/12.544523

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