A particle filter for track-before-detect

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1 January 2001

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 5 (07431619) , 3755-3760 vol.5
https://doi.org/10.1109/acc.2001.946220

Abstract

A Bayesian track-before-detect particle filter is proposed. The filter provides a sample based approximation to the distribution of the target state directly from pixel array data. The filter also provides a measure of the probability that a target is present.

Keywords

PARTICLE FILTERS
PARTICLE TRACKING
TARGET TRACKING
SENSOR ARRAYS
BAYESIAN METHODS
BACKGROUND NOISE
POSITION MEASUREMENT
DATA MINING
MAXIMUM LIKELIHOOD DETECTION
TIME MEASUREMENT

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