Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate
This paper proposes a novel joint probabilistic data association (JPDA) filter for joint target tracking and track maintenance under unknown detection probability and clutter rate. The proposed algorithm consists of two main parts: (1) the standard JPDA filter with a Poisson point process birth mode...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-01-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/1/269 |