Feature-Aided Passive Tracking of Noncooperative Multiple Targets Based on the Underwater Sensor Networks

Author:

Tian Yiwei1ORCID,Liu Meiqin2ORCID,Zhang Senlin1ORCID,Zheng Ronghao1ORCID,Fan Zhen3

Affiliation:

1. State Key Laboratory of Industrial Control Technology and the College of Electrical Engineering, Zhejiang University, Hangzhou, China

2. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China

3. College of Electrical Engineering, Zhejiang University, Hangzhou, China

Funder

NSFC–Zhejiang Joint Fund for the Integration of Industrialization and Informatization

NSFC

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference46 articles.

1. Research On Underwater Multi-clutter Data Association Based On Fuzzy Clustering

2. Feature-aided tracking of moving ground vehicles;nguyen;Proc SPIE Int Soc Opt Eng,2002

3. A probabilistic nearest neighbor filter algorithm for tracking in a clutter environment

4. Comparison of angle-only filtering algorithms in 3D using EKF, UKF, PF, PFF, and ensemble KF;gupta;Proc 18th Int Conf Inf Fusion (Fusion),2015

5. A joint possibilistic data association technique for tracking multiple targets in a cluttered environment

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