Source Code

• The Iterated Extended Kalman Particle Filter

     Notices:In this demo, we demonstrate the use of the extended Kalman particle filter, and this demo contain six files,one main program(demo-MC) and five subprograms-(ffun,gengamma,hfun,iekf,residualR).For details, please refer to The Iterated Extended Kalman Particle Filter.After downloading the file, type"iekfpf_demos.Rar" to uncompress it. This creates the directory algorithm containing the required m files. Go to this directory, load matlab and run the demo-MC.

    Click here for source code:iekfpf_demos,11.0KB

• Probabilistic Data Association Filter

    Notices:In this program, we demonstrate the use of the Probabilistic Data Association Filter, and this program contain two files,one generates the target trajectory, other is the main program.(demo-pdaf).For details, please refer to Tracking in a Cluttered Environment With Probabilistic Data Association, Y.Bar-Shalom,1975.After downloading the file, type"pdaf_demos.Rar" to uncompress it. This creates the directory algorithm containing the required m files. Go to this directory, load matlab and run the data and pdaf-demo.

    Click here for source code:pdaf_demos,3.0KB

Academic Activity & Report Documents

• International Symposium on Communications and Information Technologies 2005

  Report:  The Iterated Extended Kalman Particle Filter.ppt

  Address: Fragrant Hill Hotel, Beijing, CHINA

  Date: October 12-14,2005

  　

• 全國博士生學術論壇-2005（Doctoral Forum Of China）

  報告題目：基于最大熵模糊聚類的快速數據關聯算法

  論壇地點：北京理工大學

  論壇時間：23-27/9/.2005

  　

• 學術活動一

  報告題目：多目標跟蹤方法及研究進展：上

  活動地點：西安電子科技大學研究生院學術報告廳

  活動時間：19/4/2006

  　

• 學術活動二

  報告題目：多目標跟蹤方法及研究進展：下

  活動地點：西安電子科技大學研究生院學術報告廳

  活動時間：26/4/2006