Applying Kalman filter-based fusion algorithm to estimation problems

Chung Lain Lu, Yi-Nung Chung, Chih Min Lin, Chin Chung Yu, Tsair Rong Chen

研究成果: Article

3 引文 斯高帕斯(Scopus)


An algorithm denoted as Kalman filter-based fusion algorithm for estimation problems is developed in this paper. In this approach, a multiple-sensors data-fusion algorithm is applied. In order to solve the data association and target maneuvering situations, a computational logic, including 1-step conditional maximum likelihood and an adaptive estimator is applied to solve both data association and target maneuvering problems simultaneously. The advantage of this approach is that the multiple sensors can improve the tracking accuracy and the reliability of the radar surveillance. Computer simulation results indicate that this approach can successfully track multiple targets with satisfactory performance. ICIC International

頁(從 - 到)2109-2114
期刊ICIC Express Letters
發行號6 A
出版狀態Published - 2010 十二月 1


All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Control and Systems Engineering