Maritime ISAR Detection and Tracking algorithm for Multiple Maneuvering Extended Vessels in Heavy-tailed Clutter using SK-MM-Sub-RMM-MB-TBD Filter-Reference-Cited by-同舟云学术

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Maritime ISAR Detection and Tracking algorithm for Multiple Maneuvering Extended Vessels in Heavy-tailed Clutter using SK-MM-Sub-RMM-MB-TBD Filter

Published:2024-09 Issue: Volume: Page:107247
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Barbary Mohamed^ORCID,ElAzeem Mohamed H. Abd

Publisher

Elsevier BV

Reference66 articles.

1. Novel interacting multiple model filter for uncertain target tracking systems based on weighted Kullback–Leibler divergence;Hou;Journal of the Franklin Institute,2020

2. Distributed multiple model filtering for markov jump systems with communication delays;Li;Journal of the Franklin Institute,2023

3. Multi-UAVs collaborative tracking of moving target with maximized visibility in urban environment;Wang;Journal of the Franklin Institute,2022

4. Variational Bayesian based adaptive PDA filter in scenarios with unknown detection probability and heavy-tailed process noise;Yun;Journal of the Franklin Institute,2021

5. Variational Bayesian adaptation of process noise covariance matrix in Kalman filtering;Chang;Journal of the Franklin Institute,2021

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