Paper
2 May 2006 Robust beamforming algorithms for acoustic tracking of ground vehicles
Author Affiliations +
Abstract
The problem of detection and localization of multiple acoustic sources using unattended passive sensors is considered. Existing wideband Capon direction of arrival (DOA) estimation methods typically fail to accurately detect and resolve multiple closely spaced sources in presence of model mismatches and wavefront perturbations caused by senor location errors and near-field effects. This paper applies a set of adaptive beamforming methods in reduced dimension subspace for non-ideal acoustic array sensing scenarios. A robust wideband Capon method is studied to account for the inherent uncertainties in the array steering vector. To improve the resolution within a sector of interest the beamspace method is extended and applied to this problem. These methods are then implemented and benchmarked on real acoustic signatures of multiple ground vehicles moving in tight formations.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicholas J. Roseveare and Mahmood R. Azimi-Sadjadi "Robust beamforming algorithms for acoustic tracking of ground vehicles", Proc. SPIE 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII, 623107 (2 May 2006); https://doi.org/10.1117/12.666844
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Acoustics

Detection and tracking algorithms

Sensors

Phased arrays

Algorithm development

Calibration

Near field

Back to Top