Paper
26 November 2001 Tracking airborne targets occasionally hidden in the blind Doppler
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Abstract
This paper describes an application of sequential Monte Carlo estimation (particle filtering) to the problem of tracking targets occasionally hidden in the blind Doppler zones of a radar. A particle filter which incorporates the prior knowledge of the blind Doppler zone limits has been designed. The simulation results suggest significant improvement in track continuity over the standard Extended Kalman filter. As an operationally viable solution a hybrid tracker is envisaged which can switch between the EKF (with possible built-in data association logic) and the particle filter, depending on the tracking conditions.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Neil J. Gordon and Branko Ristic "Tracking airborne targets occasionally hidden in the blind Doppler", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492809
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Doppler effect

Particle filters

Radar

Particles

Monte Carlo methods

Electronic filtering

Filtering (signal processing)

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