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Journal of Applied Mathematics
Volume 2014, Article ID 294657, 8 pages
http://dx.doi.org/10.1155/2014/294657
Research Article

Track-to-Track Association Based on Structural Similarity in the Presence of Sensor Biases

School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Received 23 October 2013; Accepted 26 February 2014; Published 25 March 2014

Academic Editor: Nachamada Blamah

Copyright © 2014 Hongyan Zhu and Suying Han. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • Joshua Y. Sakamaki, Randal W. Beard, and Michael D. Rice, “Cooperative estimation for a vision-based target tracking system,” 2016 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 878–885, . View at Publisher · View at Google Scholar
  • Baozhu Li, Ningbo Liu, Guoqing Wang, Lin Qi, and Yunlong Dong, “Robust track-to-track association algorithm based on t-distribution mixture model,” 2017 20th International Conference on Information Fusion (Fusion), pp. 1–6, . View at Publisher · View at Google Scholar
  • Hongyan Zhu, Wei Wang, and Chen Wang, “Robust track-to-track association in the presence of sensor biases and missed detections,” Information Fusion, 2015. View at Publisher · View at Google Scholar
  • Hongyan Zhu, and Chen Wang, “Joint track-to-track association and sensor registration at the track level,” Digital Signal Processing, 2015. View at Publisher · View at Google Scholar
  • Qiong Song, Yuehuan Wang, Xiaoyun Yan, Dang Liu, Qiong Song, Yuehuan Wang, Xiaoyun Yan, and Dang Liu, “An independent sequential maximum likelihood approach to simultaneous track-to-track association and bias removal,” Mippr 2015: Pattern Recognition And Computer Vision, vol. 9813, 2015. View at Publisher · View at Google Scholar
  • Baozhu Li, Yunlong Dong, Xiuyou Li, and Jian Guan, “Anti-bias Track Association Algorithm Based on t-distribution Mixture Model,” Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, vol. 39, no. 7, pp. 1774–1778, 2017. View at Publisher · View at Google Scholar
  • Lin Qi, Kai Dong, Yu Liu, Jun Liu, Tao Jian, and You He, “Anti-bias track-to-track association algorithm based on distance detection,” IET Radar, Sonar and Navigation, vol. 11, no. 2, pp. 269–276, 2017. View at Publisher · View at Google Scholar
  • You He, Lin Qi, Jun Liu, and Kai Dong, “Multi-radar anti-bias track association based on the reference topology feature,” IET Radar, Sonar and Navigation, vol. 12, no. 3, pp. 366–372, 2018. View at Publisher · View at Google Scholar