交互式多系统跟踪定位算法

张晓光; 魏东岩; 徐颖; 袁洪

doi:10.11999/JEIT150543

交互式多系统跟踪定位算法

doi: 10.11999/JEIT150543

基金项目:

中国科学院光电研究院创新项目(Y40802A1BY)

计量
- 文章访问数: 1304
- HTML全文浏览量: 117
- PDF下载量: 648
- 被引次数: 0
出版历程
- 收稿日期: 2015-05-11
- 修回日期: 2015-11-04
- 刊出日期: 2016-02-19

Interacting Multiple System Tracking Algorithm

Funds:

The Innovation Program of Academy of Opto- Electronics, Chinese Academy of Sciences (Y40B02A1BY)

摘要

摘要: 交互式思想在多模型定位中获得广泛应用，但在多系统跟踪定位中应用较少。该文借鉴交互式思想提出交互式多系统跟踪定位算法。该算法利用已获得的估计信息进行系统间定位信息的直接交互，然后进行多系统并行滤波，并利用各系统滤波新息和方差对系统概率进行实时更新，将估计结果按照系统概率加权融合输出。通过跟踪机动目标的仿真实例，可以看出该算法能够根据定位系统的性能及时调整系统概率，有效改善多系统下目标跟踪定位性能。
- 多系统跟踪 /
- 交互式 /
- 系统概率
Abstract: Interacting algorithm is widely used in multi-model target tracking, but it is rarely used in multi-system target tracking. In this paper, the interacting idea is used as a reference, and an interacting multi-system tracking algorithm is proposed. The direct interaction between systems is finished based on their former state estimation. Then system probabilities are updated using innovation and its covariance from the parallel filters. Finally, weighted fusing results are achieved on the updated probabilities. The simulation result of tracking a maneuvering target shows that system probability can be adjusted based on its performance immediately, and the tracking performance can be improved effectively.
- Multi-system tracking /
- Interacting /
- System probability

HTML全文

参考文献(26)

BLOM H A P and BAR-SHALOM Y. The interacting multiple model algorithm for systems with Markovian switching coefficients[J]. IEEE Transactions on Automatic Control, 1988, AC-33(8): 780-783. doi: 10.1109/9.1299

秦雷, 李君龙, 周荻. 基于交互式多模型算法跟踪临近空间目标[J]. 系统工程与电子技术, 2014, 36(7): 1243-1249. doi: 10.3969/j.issn.1001-506X.2014.07.04.

QIN Lei, LI Junlong, and ZHOU Di. Tracking for near space target based on IMM algorithm[J]. Systems Engineering and Electronics[J]. 2014, 36(7): 1243-1249. doi: 10.3969/j.issn. 1001-506X.2014.07.04.

SUN Can, XING Jianping, LIANG Haozhe, et al. S-IMM: Switched IMM algorithm for maneuvering target tracking[J]. Journal of Convergence Information Technology, 2012, 14(7): 461-468.

陈亮, 杨峻巍, 舒晓菂. 基于K-L信息因子的变结构多模型算法模型集自适应研究[J]. 系统工程与电子技术, 2013, 35(12): 2459-2466. doi: 10.3969/j.issn.1001-506X.2013.12.03.

CHEN Liang, YANG Junwei, and SHU Xiaodi. Model-set adaptive algorithm of variable structure multiple-model based on K-L criterion[J]. Systems Engineering and Electronics, 2013, 35(12): 2459-2466. doi:10.3969/j.issn. 1001-506X.2013.12.03.

罗笑冰, 王宏强, 黎湘. 模型转移概率自适应的交互式多模型跟踪算法[J]. 电子与信息学报, 2005, 27(10): 1539-1541.

LUO Xiaobing, WANG Hongqiang, and LI Xiang. Interacting multiple model algorithm with adaptive markov transition probabilities[J]. Journal of Electronics Information Technology, 2005, 27(10): 1539-1541.

周卫东, 蔡佳楠, 孙龙. 具有最有模型传递矩阵的交互式多模型算法[J]. 哈尔滨工业大学学报, 2014, 46(11): 101-106.

ZHOU Weidong, CAI Jianan, and SUN Long. Interacting multiple model with optimal mode transition matrix[J]. Journal of Harbin Institute of Technology, 2014, 46(11): 101-106.

刘贵喜, 高恩克, 范春宇. 改进的交互式多模型粒子滤波跟踪算法[J]. 电子与信息学报, 2007, 29(12): 2810-2813.

LIU Guixi, GAO Enke, and FAN Chunyu. Tracking algorithms based on improved interacting multiple model particle filter[J]. Journal of Electronics Information Technology, 2007, 29(12): 2810-2813.

刘妹琴, 汤晓芳, 郑世友, 等. 基于RUKF-IMM的非线性系统滤波[J].华中科技大学学报(自然科学版), 2013, 41(5): 57-63.

LIU Meiqin, TANG Xiaofang, ZHENG Shiyou, et al. Filtering of nonlinear systems with measurement loss by RUKF- IMM[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2013, 41(5): 57-63.

周卫东, 刘萌萌, 杨永江. 基于多传感器信息融合理论的交互式多模型算法[J]. 华南理工大学学报(自然科学版), 2014, 42(9): 82-89. doi: 10.3969/j.issn.1000-565X.2014.09.015.

ZHOU Weidong, LIU Mengmeng, and YANG Yongjiang. An improved interacting multiple model algorithm based on multi-sensor information fusion theory[J]. Journal of South China University of Technology (Natural Science Edition), 2014, 42(9): 82-89. doi: 10.3969/j.issn.1000-565X.2014.09. 015.

吴楠, 王旭东, 胡晴晴, 等. 基于多LED的高精度室内可见光定位方法[J]. 电子与信息学报, 2015, 37(3): 727-732. doi: 1011999/JEIT140725.

WU Nan, WANG Xudong, HU Qingqing, et al. Multiple LED based high accuracy indoor visible light positioning scheme[J]. Journal of Electronics Information Technology, 2015, 37(3): 727-732. doi: 1011999/JEIT140725.

谷阳, 宋千, 李杨寰, 等. 基于惯性鞋载传感器的人员自主定位粒子滤波方法[J]. 电子与信息学报, 2015, 37(2): 484-488. doi: 10.11999/JEIT140362.

GU Yang, SONG Qian, LI Yanghuan, et al. A particle filter method for pedestrian navigation using foot-mounted inertial sensors[J]. Journal of Electronics Information Technology, 2015, 37(2): 484-488. doi: 10.11999/JEIT140362.

何坚, 万志江, 刘金伟. 基于电源线和位置指纹的室内定位技术[J]. 电子与信息学报, 2014, 36(12): 2902-2908. doi: 10.3724 /SP.J.1146.2013.02022

HE Jian, WAN Zhijiang, and LIU Jinwei. Indoor positioning technology based on powerline and location fingerprint[J]. Journal of Electronics Information Technology, 2014,　36(12): 2902-2908. doi: 10.3724/SP.J.1146.2013.02022.

刘志刚, 汪晋宽. 多传感器交互滤波算法[J]. 电子学报, 2012, 40(4): 724-728 doi: 10. 3969/j.issn.0372-2112.2012.04.016.

LIU Zhigang and WANG Jinkuan. Interacting multiple sensor filter for sensor networks[J]. Acta Electronica Sinica, 2012, 40(4): 724-728. doi: 10. 3969/j.issn.0372-2112.2012.04. 016.

LIU Zhigang, WANG Jinkuan, and XUE Yanbo. Interacting multiple sensor filter[J]. Signal Processing, 2012, 92(9): 2180-2186.

BAR-SHALOM Y and LI X R. Multitarget-Multisensor Tracking: Principles and Techniques[M]. Los Angeles, CA, US, Artech House, Inc., 1995:187-277.

施引文献

资源附件(0)

访问统计