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Proceedings Paper

A performance comparison of nonlinear filtering techniques based on recorded radar datasets
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Paper Abstract

In this paper, several nonlinear filters (EKF/CMKF/CMEKF, UKF and PFs) are compared using real datasets and simulations based on two representative radar datasets. The first dataset was collected from an air traffic control (ATC) radar experiment with several aircraft. The second dataset was recorded from a high frequency surface wave radar (HFSWR) trial that was characterzed by a very long integration time and a limited set of manoeuvre types. RMSE, NEES and NIS are used as measures of performance. Comments on the performance, computational requirements of the nonlinear filters, practical modelling and filter tuning issues for the two types of radars are also presented.

Paper Details

Date Published: 4 September 2009
PDF: 12 pages
Proc. SPIE 7445, Signal and Data Processing of Small Targets 2009, 74450Q (4 September 2009); doi: 10.1117/12.825399
Show Author Affiliations
Bhashyam Balaji, Defence Research and Development Canada (Canada)
Zhen Ding, Defence Research and Development Canada (Canada)


Published in SPIE Proceedings Vol. 7445:
Signal and Data Processing of Small Targets 2009
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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