Cheap Joint Probabilistic Data Association with Adaptive Neuro-Fuzzy Inference System State Filter for Tracking Multiple Targets in Cluttered Environment-Reference-Cited by-同舟云学术

Cheap Joint Probabilistic Data Association with Adaptive Neuro-Fuzzy Inference System State Filter for Tracking Multiple Targets in Cluttered Environment

Published:2004-01 Issue:5 Volume:58 Page:349-357
ISSN:1434-8411
Container-title:AEU - International Journal of Electronics and Communications
language:en
Short-container-title:AEU - International Journal of Electronics and Communications

Author:

Turkmen Ilke,Guney Kerim

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering

Reference36 articles.

1. Multiple target tracking with radar applications;Blackman,1986

2. Tracking and data association;Bar-Shalom,1988

3. Multitarget-multisensor tracking: principles and techniques;Bar-Shalom,1995

4. Improved multiple targets angle tracking algorithm using the joint probabilistic data association filter;Keche;IEE Proc. Radar, Sonar and Navigation,1998

5. Fitzgerald, R.J.: Development of practical PDA logic for multitarget tracking by microprocessor. Proceedings of the American Control Conference, Washington 1986, 889–897.

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement Learning-Based Data Association for Multiple Target Tracking in Clutter;Sensors;2020-11-18

2. Fuzzy region assignment for visual tracking;Soft Computing;2011-03-10

3. Comparison of adaptive-network-based fuzzy inference system models for resonant frequency computation of circular microstrip antennas;Journal of Communications Technology and Electronics;2009-04

4. Comparison of adaptive-network-based fuzzy inference systems for bandwidth calculation of rectangular microstrip antennas;Expert Systems with Applications;2009-03

5. Analysis of conductor-backed coplanar waveguides using adaptive-network-based fuzzy inference system models;Microwave and Optical Technology Letters;2008-12-23