CPHD filtering with unknown clutter rate and detection profile
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Authors
Mahler, R.
Vo, Ba Tuong
Vo, Ba-Ngu
Date
2011Type
Conference Paper
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Mahler, R. and Vo, B.T. and Vo, B. 2011. CPHD filtering with unknown clutter rate and detection profile.
Source Title
Fusion 2011 - 14th International Conference on Information Fusion
ISBN
School
Department of Electrical and Computer Engineering
Collection
Abstract
In Bayesian multi-target filtering we have to contend with two notable sources of uncertainty, clutter and detection. Knowledge of parameters such as clutter rate and detection profile are of critical importance in multi-target filters such as the probability hypothesis density (PHD) and Cardinalized PHD (CPHD) filters. Naive application of the CPHD (and PHD) filter with mismatches in clutter and detection model parameters results in biased estimates. In this paper we show how to use the CPHD (and PHD) filter in unknown clutter rate and detection profile. © 2011 IEEE.
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Mahler, Ronald (2014)© 2014 IEEE. In previous publications the author introduced CPHD filters designed to detect and track multiple targets in unknown, dynamically changing clutter backgrounds. The first such filters employed Poisson clutter ...
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Mahler, Ronald (2015)© 2015 SPIE. Previous research has produced CPHD filters that can detect and track multiple targets in unknown, dynamically changing clutter. The.first such filters employed Poisson clutter generators and, as a result, ...
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Mahler, R.; Vo, Ba Tuong; Vo, Ba-Ngu (2011)In Bayesian multi-target filtering, we have to contend with two notable sources of uncertainty, clutter and detection. Knowledge of parameters such as clutter rate and detection profile are of critical importance in ...