Paper
14 May 2015 Sparsity-based moving target localization using multiple dual-frequency radars under phase errors
Khodour Al Kadry, Fauzia Ahmad, Moeness G. Amin
Author Affiliations +
Abstract
In this paper, we consider moving target localization in urban environments using a multiplicity of dual-frequency radars. Dual-frequency radars offer the benefit of reduced complexity and fast computation time, thereby permitting real-time indoor target localization and tracking. The multiple radar units are deployed in a distributed system configuration, which provides robustness against target obscuration. We develop the dual-frequency signal model for the distributed radar system under phase errors and employ a joint sparse scene reconstruction and phase error correction technique to provide accurate target location and velocity estimates. Simulation results are provided that validate the performance of the proposed scheme under both full and reduced data volumes.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Khodour Al Kadry, Fauzia Ahmad, and Moeness G. Amin "Sparsity-based moving target localization using multiple dual-frequency radars under phase errors", Proc. SPIE 9484, Compressive Sensing IV, 948403 (14 May 2015); https://doi.org/10.1117/12.2177360
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Radar

Error analysis

Signal to noise ratio

Distributed computing

Associative arrays

Compressed sensing

Environmental sensing

Back to Top