Optimised multi-hypothesis tracking algorithm based on the two-dimensional constraints and manoeuvre detection

Optimised multi-hypothesis tracking algorithm based on the two-dimensional constraints and manoeuvre detection

With the increase of target mobility and environment complexity, highly reliable single-period statistical judgments become more and more difficult. The multiple hypothesis tracking (MHT) algorithm is a method based on delay logic, and can effectively solve the problem of data association in the cou...

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Bibliographic Details
Main Authors: Yuan Yao, Juan Shang, Qi Wang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
radar tracking
sensor fusion
probability
target tracking
filtering theory
data association
false alarm rate
hypotheses reduction techniques
two-dimensional constraints
target manoeuvre detection method
manoeuvre detection results
optimised mht algorithm
likelihood probability calculation model
plot-track association
posterior probability calculation model
hypothetical branch track
delay logic
hypothesis tracking algorithm
single-period statistical judgments
k-best method
n-scan-back method
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0750

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0750

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