Probabilistic data association filter with binomial distributed false alarms for radar tracking

W. Dale Blair; George C. Brown

doi:10.1117/12.492758

26 November 2001 Probabilistic data association filter with binomial distributed false alarms for radar tracking

W. Dale Blair, George C. Brown

Proceedings Volume 4473, Signal and Data Processing of Small Targets 2001; (2001) https://doi.org/10.1117/12.492758
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

In this paper, two modifications are made to the derivation of the PDAF: one replaces the Poisson distributed false alarms with a binomial distribution, the other involves the assumed distribution of the angular measurements associated with false alarms. The Binomial distribution better fits the kind of data typically seen in radar because the track gate typically involves a small number of candidate range cells. The second modification is founded on the assumption that the angle-of-arrival estimates are produced with monopulse techniques. Previous work has modeled the false measurements as being uniformly distributed in the uncertainty volume of the track gate, while a more accurate approach recognizes that the angle components of the false alarms are better modeled as Gaussian perturbations about beam center.

Citation Download Citation

W. Dale Blair and George C. Brown "Probabilistic data association filter with binomial distributed false alarms for radar tracking", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492758

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