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Proceedings Paper

Efficient target tracking using adaptive grid and sparse tensors
Author(s): Bhashyam Balaji
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Paper Abstract

Many radar tracking problems involve a subset of range, angle, and Doppler measurements. A naïve grid-based computational approach is computationally unfeasible. In fact, even an approach based on the use of sparse tensors and a fixed, Cartesian grid is computationally very expensive. It is shown that an adaptive grid that is partly based on measurements reduces the computational load drastically so that the filtered solution is obtainable in real-time. A numerical example is included to demonstrate the reliable and highly accurate solutions obtainable using the proposed combination of measurement-based adaptive grid and sparse tensors.

Paper Details

Date Published: 11 May 2009
PDF: 12 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360W (11 May 2009); doi: 10.1117/12.817754
Show Author Affiliations
Bhashyam Balaji, Defence Research and Development Canada (Canada)

Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)

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