The Labeled Multi-Bernoulli Filter for Jump Markov Systems Under Glint Noise

This paper proposes a novel labeled multi-Bernoulli (LMB) filter for jump Markov systems (JMS) to track the multiple maneuvering objects under glint noise. By modeling the glint noise as a Student's t-distribution and using the variational Bayesian method to acquire the approximate state distri...

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Bibliographic Details
Main Authors: Zong-Xiang Liu, Bing-Jian Huang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8760357/

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