机动目标当前统计模型模糊自适应算法

doi:10.3969/j.issn.1000-1093.2016.11.011

兵工学报 ›› 2016, Vol. 37 ›› Issue (11): 2037-2043.doi: 10.3969/j.issn.1000-1093.2016.11.011

机动目标当前统计模型模糊自适应算法

刘望生¹，潘海鹏¹，李亚安²

(1.浙江理工大学机械与自动控制学院，浙江杭州 310018； 2.西北工业大学航海学院，陕西西安 710072)

收稿日期:2016-03-17 修回日期:2016-03-17 上线日期:2016-12-30
通讯作者: 刘望生 E-mail:lwsh22@hotmail.com
作者简介:刘望生(1974—)男副研究员
基金资助:
国家自然科学基金项目(51179158)；浙江理工大学科研基金项目（1202803-Y）

A Fuzzy Adaptive Algorithm for Maneuvering Target Based on Current Statistical Model

LIU Wang-sheng¹, PAN Hai-peng¹, LI Ya-an²

(1.School of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, Zhejiang, China;2.School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China)

Received:2016-03-17 Revised:2016-03-17 Online:2016-12-30
Contact: LIU Wang-sheng E-mail:lwsh22@hotmail.com

摘要/Abstract

摘要： 针对当前统计模型常规算法跟踪机动目标的缺陷，提出了当前统计模型模糊自适应算法。该算法根据规范化的量测新息及其变化率并通过模糊推理实时选取机动频率，给出了加速度方差的新息幂函数调整方法，采用加速度估计值和预测值的偏差在线更新当前加速度均值。在此基础上，结合高斯隶属函数和强跟踪算法对其权值予以修正。当前统计模型模糊自适应算法不受机动频率人为给定和最大加速度极值设置的限制，适用于不同范围和程度的机动。利用当前统计模型模糊自适应算法对阶跃机动、圆周机动、Jerk机动3种典型机动场景进行了计算机仿真，并与当前统计模型常规跟踪算法和Jerk模型自适应算法进行了比较。仿真结果表明，该算法扩大了跟踪范围，具有较好的稳态特性和瞬态特性，其跟踪精度和收敛速度优于其他两种算法。

关键词: 兵器科学与技术, 当前统计模型, Jerk模型, 模糊自适应, 强跟踪, 机动目标

Abstract: A fuzzy adaptive algorithm is proposed for the imperfections of tracking a maneuvering target using conventional algorithm based on current statistical model. Maneuvering frequency is adjusted in real time by fuzzy reasoning according to the normalized residual and its change rate. Acceleration variance is depicted using residual power function, and the mean value of current acceleration is updated by the deviation between the estimated and predicted values of acceleration. On this basis, the weight of proposed algorithm is revised by Gauss membership function and strong tracking algorithm. Fuzzy adaptive algorithm is not restricted by maneuvering frequency given manually and extreme value of maximum acceleration, which is suitable for the different ranges and degrees of maneuvering.

Key words: ordnance science and technology, current statistical model, Jerk model, fuzzy adaptive filtering, strong tracking, maneuvering target

中图分类号:

TN929.3

刘望生，潘海鹏，李亚安. 机动目标当前统计模型模糊自适应算法[J]. 兵工学报, 2016, 37(11): 2037-2043.

LIU Wang-sheng, PAN Hai-peng, LI Ya-an. A Fuzzy Adaptive Algorithm for Maneuvering Target Based on Current Statistical Model[J]. Acta Armamentarii, 2016, 37(11): 2037-2043.

参考文献

［1］ Li X R, Jilkov V P. Survey of maneuvering target tracking. PartⅠ: dynamic models[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(4): 1334-1364.
[2］ Tafti A D, Sadati N. A hybrid fuzzy adaptive tracking algorithm for maneuvering targets[C]∥IEEE International Conference on Fuzzy System. Hongkong: IEEE, 2008: 1869-1873.
[3］ Naidu V, Raol J R. Performance evaluation of interacting multiple model Kalman filter[J]. IETE Journal of Education, 2008, 49(3): 95-108.
[4］ Khaloozadeh H, Karsaz A. Modified input estimation technique for tracking maneuvering targets[J]. IET Proceedings-Radar, Sonar and Navigation, 2009, 3(1): 30-41.
[5］ Bahari M H, Pariz N. High maneuvering target tracking using an input estimation technique associated with fuzzy forgetting factor[J]. Scientific Research and Essay, 2009, 4(10): 936-945.
[6］ Yang J L, Ji H B. High maneuvering target-tracking based on strong tracking modified input estimation[J]. Scientific Research and Essays, 2010, 5(13): 1683-1689.
[7］ Challa S, Morelande M R, Muicki D, et al. 目标跟踪基本原理[M]. 周共健, 译. 北京: 国防工业出版社, 2015.
Challa S, Morelande M R, Muicki D, et al. Fundamentals of object tracking[M]. ZHOU Gong-jian，translated. Beijing: National Defense Industry Press, 2015. (in Chinese)
[8］ Kim H S，Park J G，Lee D. Adaptive fuzzy IMM algorithm for uncertain target tracking[J]. International Journal of Control，Automation，and Systems，2009，7(6)：1001-1008.
[9］ Wang X H，Yang X Y，Qin Z，et al. Hierarchical interacting multiple model algorithm based on improved current model[J]. Journal of Systems Engineering and Electronics，2010，21(6)：961-967.
[10］ Mehrotra K，Mahapatra P R. A Jerk model for tracking highly maneuvering targets[J]. IEEE Transactions on Aerospace and Electronic System，1997，33(4) ：1094-1105.
[11］乔向东，王宝树，李涛，等. 一种高度机动目标的当前统计Jerk模型[J]. 西安电子科技大学学报，2002，29(4) ：534-539.
QIAO Xiang-dong，WANG Bao-shu，LI Tao，et al. A CS-Jerk model for tracking highly maneuvering targets[J]. Journal of Xidian University，2002，29(4) ：534-539. (in Chinese)
[12］周宏仁，敬忠良，王培德. 机动目标跟踪[M]. 北京：国防工业出版社，1991.
ZHOU Hong-ren，JING Zhong-liang，WANG Pei-de. Tracking of maneuvering targets[M]. Beijing：National Defense Industry Press，1991. (in Chinese)
[13］ Sheng H, Yang J S, Zeng F L, et al. Interacting multiple model tracking algorithm with modified input estimation[J]. Acta Electronica Sinica, 2009, 37(12): 2810-2814.
[14］ Qu H Q, Pang L P, LIi S H. A novel interacting multiple model algorithm[J]. Signal Processing, 2009, 89(11): 2171-2177.
[15］黄长强, 封普文, 曹林平, 等. 状态分量综合修正加速度方差的CSM算法[J]. 西北工业大学学报, 2014, 32(1): 6-11.
HUANG Chang-qiang, FENG Pu-wen, CAO Lin-ping, et al. A target tracking algorithm based on current statistical model for adjusting acceleration variance of maneuver target[J]. Journal of Northwestern Polytechnical University, 2014, 32(1): 6-11. (in Chinese)
[16］周政, 刘进忙, 谭西江. 基于Jerk输入估计的MCS模型及非线性跟踪算法[J]. 北京航空航天大学学报, 2013, 39(10): 1397-1402.
ZHOU Zheng, LIU Jin-mang, TAN Xi-jiang. MCS model based on Jerk input estimation and nonlinear tracking algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(10): 1397-1402. (in Chinese)
[17］刘宝光, 陶青长, 潘明海. 基于当前统计模型的强机动目标跟踪算法[J]. 雷达与对抗, 2012, 32(1): 28-30.
LIU Bao-guang, TAO Qing-chang, PAN Ming-hai. An improved tracking algorithm based on current statistical model for highly maneuvering targets[J]. RADAR and ECM, 2012, 32(1): 28-30. (in Chinese)
[18］袁湛, 瞿军, 董桂旭. 机动频率自适应的机动目标模糊跟踪算法[J]. 战术导弹技术, 2009, 9(2): 56-61.
YUAN Zhan, QU Jun, DONG Gui-xu. A maneuvering target fuzzy tracking algorithm with maneuvering frequency adaptive[J]. Tactical Missile Technology, 2009, 9(2): 56-61. (in Chinese)
[19］朱自谦, 胡士强. 机载雷达多目标跟踪技术[M]. 北京: 国防工业出版社, 2013.
ZHU Zi-qian, HU Shi-qiang. Airborne radar multi-target tracking technology[M]. Beijing: National Defense Industry Press, 2013. (in Chinese)
[20］ Chan K C C，Lee V，Leung H. Radar tracking for air surveillance in a stressful environment using a fuzzy-gain filter[J]. IEEE Transactions on Fuzzy Systems，1997，5(1)：80-89.
[21］钱广华, 李颖, 骆荣剑. 机动目标跟踪中一种机动频率和方差自适应滤波算法[J]. 雷达学报, 2013, 2(2): 257-264.
QIAN Guang-hua, LI Ying, LUO Rong-jian. One maneuvering frequency and the variance adaptive filtering algorithm for maneuvering target tracking[J]. Journal of Radars, 2013, 2(2): 257-264. (in Chinese)
[22］ Zhou D H，Frank P M. Strong tracking filtering of nonlinear time-varying stochastic systems with colored noise：application to parameter estimation and empirical robustness analysis[J]. International Journal of Control，1996，65(2)：295-307.
[23］范小军, 刘锋, 秦勇, 等. 基于STF的当前统计模型及自适应跟踪算法[J]. 电子学报, 2006, 34(6): 981-984.
FAN Xiao-jun, LIU Feng, QIN Yong, et al. Current statistic model and adaptive tracking algorithm based on strong tracking filter[J]. Acta Electronica Sinica, 2006, 34(6): 981-984. (in Chinese)
[24］刘望生, 李亚安, 崔琳. 高度机动目标Jerk模型及改进算法[J]. 兵工学报, 2012, 33(4): 385-389.
LIU Wang-sheng, LI Ya-an, CUI Lin. A modified algorithm for high maneuvering target based on Jerk model[J]. Acta Armamentarii, 2012, 33(4): 385-389. (in Chinese)

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机动目标当前统计模型模糊自适应算法

A Fuzzy Adaptive Algorithm for Maneuvering Target Based on Current Statistical Model

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