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

Bhashyam Balaji; Zhen Ding

doi:10.1117/12.825399

4 September 2009 A performance comparison of nonlinear filtering techniques based on recorded radar datasets

Bhashyam Balaji, Zhen Ding

Proceedings Volume 7445, Signal and Data Processing of Small Targets 2009; 74450Q (2009) https://doi.org/10.1117/12.825399
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

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.

Citation Download Citation

Bhashyam Balaji and Zhen Ding "A performance comparison of nonlinear filtering techniques based on recorded radar datasets", Proc. SPIE 7445, Signal and Data Processing of Small Targets 2009, 74450Q (4 September 2009); https://doi.org/10.1117/12.825399

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