Iterative Unbiased Converted Measurement Kalman Filter for Target Tracking

被引：3
作者：
Li, Da [1 ,2 ]
Zou, Xiangyu [1 ,2 ]
Li, Ruifang [1 ,2 ]
机构：
[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China
[2] Wuhan Univ Technol, Key Lab Fiber Opt Sensing Technol & Informat Proc, Minist Educ, Wuhan 430070, Hubei, Peoples R China
来源：
2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL. 1 | 2017年
基金：
中国国家自然科学基金;
关键词：
iteration method; Kalman filter; target tracking; unbiased converted measurement;
D O I：
10.1109/ISCID.2017.52
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is important to develop a robust and fast tracking algorithm for modern tracking system because the target moves more and more fast. Therefore, a novel algorithm named the iterative unbiased converted measurement Kalman filter (IUCMKF) is proposed based on the analysis and comparison of conventional target tracking methods. The new algorithm is developed from unbiased converted measurement Kalman filter, but it can obtain more accurate state and covariance estimation. Compared with the existing target tracking approaches, the proposed method has potential advantages in tracking accuracy. The correctness as well as validity of the algorithm is demonstrated through numerical simulation results.
引用
收藏
页码：342 / 345
页数：4
相关论文
共 50 条
[21]   Measurement-converted Kalman filter tracking with Gaussian intensity attenuation signal in wireless sensor networks [J].
Wen, Sha ;
Xing, Liqiang ;
Hu, Xiaoqing ;
Zhang, Hui .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (04)
[22]   Target Tracking using Adaptive Kalman Filter [J].
Kumar, Gaurav ;
Prasad, Dharmbir ;
Singh, Rudra Pratap .
2017 INTERNATIONAL CONFERENCE ON SMART GRIDS, POWER AND ADVANCED CONTROL ENGINEERING (ICSPACE), 2017, :376-380
[23]   A constrained Extended Kalman Filter for target tracking [J].
Nordsjo, AE .
PROCEEDINGS OF THE IEEE 2004 RADAR CONFERENCE, 2004, :123-127
[24]   Target tracking based on amendatory Kalman filter [J].
Yang, Yong-Jian ;
Fan, Xiao-Guang ;
Wang, Sheng-Da ;
Zhuo, Zhen-Fu ;
Xu, Yang .
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2014, 36 (05) :846-851
[25]   Integrated Pseudolinear Kalman Filter for Target Tracking With Nonlinear Measurements [J].
Zhang, Kanghao ;
Zhang, Zheng ;
Li, Xiaoduo ;
Pan, Chengwei ;
Dong, Xiwang .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
[26]   Maneuvering target tracking with modified unbiased FIR filter [J].
Fu, Jinbin ;
Sun, Jinping ;
Lu, Songtao ;
Zhang, Yaotian .
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2015, 41 (01) :77-82
[27]   SiamRPN Target Tracking Based on Kalman Filter and Template Updating [J].
Gong, Chang ;
Shan, Yugang ;
Yuan, Jie .
Computer Engineering and Applications, 2023, 59 (08) :200-207
[28]   Target Tracking Based on Mean-shift and Kalman Filter [J].
Jiang, Songtao .
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION, 2015, 12 :1308-1312
[29]   Quadrature Kalman Filter(QKF) and Reduced Quadrature Kalman Filter(R-QKF)in Ballistic Target Tracking [J].
MOATASEM Momtaz .
CADDM, 2007, (02) :71-76
[30]   Sequential unbiased converted measurement non-linear filter with range rate in ECEF coordinates [J].
Li, Song ;
Cheng, Yongmei ;
Gou, Bin ;
Gao, Shibo .
IET RADAR SONAR AND NAVIGATION, 2020, 14 (07) :1113-1124
12345