"Soft assignment algorithm" in maneuvering targets tracking

Guanghui Yu*, Yaping Dai, Chaozhen Hou, Jie Chen

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

The optimal solution of "assignment problem" in maneuvering targets tracking (MTT) is how to associate measurements with tracks correctly. It is critical in MTT. The earlier "traditional assignment algorithms" has poor performance because it does not consider of missing and new targets. "modern augment assignment algorithm" overcomes the two shortcomings above, But in the same time, the risk of error association probability becomes higher. This paper presents a new assignment algorithm-"soft assignment". It need not consider of missing and new targets while it is an optimal solution based on the following two criterions: (1) the correct association probability is high; (2) the number of association is near to the actual ones. The two criterions are presented in form of function and the optimal solution using "soft assignment" can also be obtained.

Original languageEnglish
Pages2687-2692
Number of pages6
Publication statusPublished - 2002
EventProceedings of the 4th World Congress on Intelligent Control and Automation - Shanghai, China
Duration: 10 Jun 200214 Jun 2002

Conference

ConferenceProceedings of the 4th World Congress on Intelligent Control and Automation
Country/TerritoryChina
CityShanghai
Period10/06/0214/06/02

Keywords

  • Associate
  • Maneuvering targets tracking
  • Soft assignment

Cite this

Yu, G., Dai, Y., Hou, C., & Chen, J. (2002). "Soft assignment algorithm" in maneuvering targets tracking. 2687-2692. Paper presented at Proceedings of the 4th World Congress on Intelligent Control and Automation, Shanghai, China.