Efficient target tracking using adaptive grid and sparse tensors

Bhashyam Balaji

doi:10.1117/12.817754

11 May 2009 Efficient target tracking using adaptive grid and sparse tensors

Bhashyam Balaji

Proceedings Volume 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII; 73360W (2009) https://doi.org/10.1117/12.817754
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Bhashyam Balaji "Efficient target tracking using adaptive grid and sparse tensors", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360W (11 May 2009); https://doi.org/10.1117/12.817754

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