Target Tracking with Random Finite Sets

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Synopsis

This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. This is achieved by providing in-depth study on a number of major topics such as the probability hypothesis density (PHD), cardinalized PHD, multi-Bernoulli (MB), labeled MB (LMB), d-generalized LMB (d-GLMB), marginalized d-GLMB, together with their Gaussian mixture and sequential Monte Carlo implementations. Five extended applications are covered, which are maneuvering target tracking, target tracking for Doppler radars, track-before-detect for dim targets, target tracking with non-standard measurements, and target tracking with multiple distributed sensors. The comprehensive and systematic summarization in target tracking with RFSs is one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in target tracking with RFSs. The book benefits researchers, engineers, and graduate students in the fields of random finite sets, target tracking, sensor fusion/data fusion/information fusion, etc.

Book details

Edition:
1st ed. 2023
Author:
Weihua Wu, Hemin Sun, Mao Zheng, Weiping Huang
ISBN:
9789811998157
Related ISBNs:
9789811998140
Publisher:
Springer Nature Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2023-09-02
Usage restrictions:
Copyright
Copyright date:
2023
Copyright by:
National Defense Industry Press 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction, Technology