An IMM-BP based Algorithm for Tracking Maneuvering Underwater Targets by Multistatic Marine Robot Networks
Author:
Affiliation:
1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences,Shenyang,China,110169
Funder
State Key Laboratory of Robotics
Natural Science Foundation of Liaoning Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9903936/9903920/09903972.pdf?arnumber=9903972
Reference23 articles.
1. A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors
2. Online Estimation of Unknown Parameters in Multisensor-Multitarget Tracking: a Belief Propagation Approach
3. Self-Tuning Algorithms for Multisensor-Multitarget Tracking Using Belief Propagation
4. Design of an interacting multiple model algorithm for air traffic control tracking
5. An interacting multiple model particle filter for manoeuvring target location
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1. A Gaussian mixture multiple-model belief propagation filter for multisensor-multitarget tracking;Signal Processing;2024-07
2. Optimization of Sensing Locations of Autonomous Underwater Vehicles for Optimal Environmental Prediction and Acoustic Target Tracking;OCEANS 2022, Hampton Roads;2022-10-17
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