[1]张晓宇,陈营营,李英兰.蛇形机动目标视线角滤波算法研究[J].应用科技,2015,42(06):36-39,66.[doi:10.11991/yykj.201503029]
 ZHANG Xiaoyu,CHEN Yingying,LI Yinglan.Study of LOS angle filtering algorithm for sinusoidally maneuvering targets[J].Applied science and technology,2015,42(06):36-39,66.[doi:10.11991/yykj.201503029]
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蛇形机动目标视线角滤波算法研究(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第42卷
期数:
2015年06期
页码:
36-39,66
栏目:
自动化技术
出版日期:
2015-12-05

文章信息/Info

Title:
Study of LOS angle filtering algorithm for sinusoidally maneuvering targets
作者:
张晓宇 陈营营 李英兰
哈尔滨工程大学 自动化学院, 黑龙江 哈尔滨 150001
Author(s):
ZHANG Xiaoyu CHEN Yingying LI Yinglan
College of Automation, Harbin Engineering University, Harbin 150001, China
关键词:
蛇形机动视线角噪声α-β滤波卡尔曼滤波
Keywords:
sinusoidal maneuverline of sight anglenoiseα-β filterKalman filter
分类号:
U666.1
DOI:
10.11991/yykj.201503029
文献标志码:
A
摘要:
当目标做匀速直线运动时,实现对目标拦截所需的过载较小,此时对视线角的测量精度要求不高;当目标做蛇形(正弦)机动时,为了实现对目标的拦截,需要较大的过载,此时视线角的测量精度对脱靶量的影响很大。为了实现精确制导的要求,需要对视线角信息进行滤波,从而降低噪声的干扰。文中分别采用了α-β滤波和卡尔曼滤波算法实现对视线角信息的滤波,并与无滤波的情况进行了对比,结果表明在参数选择合适的情况下α-β滤波比卡尔曼滤波具有更好的降噪效果,但是在近距离内两者的滤波效果均变差,使得两者在减小脱靶量方面的效果几乎一致。
Abstract:
A small overload is required to intercept a target when it moves in a constant velocity, and the requirement of measuring accuracy is not high. When the target maneuvers sinusoidally, a high overload is required, and the measuring accuracy of line of sight (LOS) angle has a great influence on the miss distance. In order to achieve the precise guidance requirements, filtering of LOS angle information is needed to reduce the measurement noise interference. This paper uses α-β filter and Kalman filter algorithms for LOS angle information filtering, and compares them with the situation with no filtering. It indicates that α-β filter has a better effect than Kalman filter under a preferred group of parameters, but the effect of both filters becomes worse in a close range. It makes the effect of both filters in reducing miss distance almost the same.

参考文献/References:

[1] OHLMEYER E J. Root-mean-square miss distance of proportional navigation missile against sinusoidal target[J]. Journal of Guidance, Control, and Dynamics, 1996, 19(3): 563-568. [2]张亮亮, 周峰, 徐彤. 新的"S-蛇形"机动目标模型及跟踪方法研究[J]. 电光与控制, 2012, 19(9): 13-16, 22. [3]王晓天, 贾宇, 陈方斌. 一种用于"蛇形"机动目标的跟踪方法研究[J]. 应用光学, 2009, 30(1): 65-68. [4]KALATA P R. The tracking index: a generalized parameter for α-β and α-β-γ target trackers[J]. IEEE Transactions on Aerospace and Electronic Systems, 1984, 20(2): 174-182. [5]朱薇, 夏传浩. 一种改进的α-β目标跟踪滤波算法[J]. 计算机应用, 2007, 27(8): 2053-2055, 2080. [6]王豪, 吴向东, 魏明英. 基于α-β滤波算法的目标运动信息滤波与估计[J]. 现代防御技术, 2009, 37(3): 49-51, 63. [7]KALMAN R E. A new approach to linear filtering and prediction problems[J]. Journal of Basic Engineering, 1960, 82(1): 35-45. [8]严浙平, 黄宇峰. 基于卡尔曼滤波的动目标预测[J]. 应用科技, 2008, 35(10): 28-32.[9]刘胜, 张红梅. 最优估计理论[M]. 北京: 科学出版社, 2011.[10]李新国, 方群. 有翼导弹飞行动力学[M]. 西安: 西北工业大学出版社, 2005: 25-28.

备注/Memo

备注/Memo:
收稿日期:2015-3-27;改回日期:。
作者简介:陈营营(1990-),女,硕士研究生;张晓宇(1971-),男,博士生导师.
通讯作者:陈营营,E-mail:chenyingjn@163.com.
更新日期/Last Update: 2016-01-07