Paper
15 September 2005 Tracking of two closely spaced objects using monopulse measurements
Author Affiliations +
Abstract
The ultimate goal of this paper is to track two closely spaced and unresolved targets using monopulse radar measurements, the quality of such tracking being a determinant of successful detection of target spawn. It explores statistical estimation techniques based on the maximum likelihood criterion and Gibbs sampling, and addresses concerns about the accuracy of the measurements delivered thereby. In particular, the Gibbs approach can deliver joint measurements (and the associated covariances) from both targets, and it is therefore natural to consider a joint filter. The ideas are compared; and amongst the various strategies discussed, a particle filter that operates directly on the monopulse measurements is especially promising.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Atef Isaac, Xin Zhang, Peter Willett, and Yaakov Bar-Shalom "Tracking of two closely spaced objects using monopulse measurements", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591322 (15 September 2005); https://doi.org/10.1117/12.613126
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Radar

Filtering (signal processing)

Detection and tracking algorithms

Particle filters

Target detection

Particles

Signal processing

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