[1]周峰,焦淑红.基于平方根UKF的机载单站无源定位算法[J].应用科技,2010,37(11):40-44.[doi:10.3969/j.issn.1009671X.2010.11.010]
 ZHOU Feng,JIAO Shu-hong.A passive location algorithm for the single airborne observer based on square root UKF[J].Applied science and technology,2010,37(11):40-44.[doi:10.3969/j.issn.1009671X.2010.11.010]
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基于平方根UKF的机载单站无源定位算法(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第37卷
期数:
2010年11期
页码:
40-44
栏目:
现代电子技术
出版日期:
2010-11-05

文章信息/Info

Title:
A passive location algorithm for the single airborne observer based on square root UKF
文章编号:
1009-671X(2010)11-0040-05
作者:
周峰焦淑红
(哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001)
Author(s):
ZHOU Feng JIAO Shu-hong
(College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
关键词:
无源定位机载平方根UKF非线性滤波
Keywords:
passive location airborne square root unscented Kalman filter nonlinear filtering
分类号:
TN958.97
DOI:
10.3969/j.issn.1009671X.2010.11.010
文献标志码:
A
摘要:
介绍了基于多普勒频率变化率和波达角变化率的机载单站无源定位原理,并引入一种新的基于平方根(UKF)算法.通过仿真与扩展卡尔曼滤波(EKF)和不敏卡尔曼滤波(UKF)算法进行了比较.结果表明,新算法比EKF算法精度高,与UKF算法相比,新算法的方根形式增加了数字稳定性和状态协方差的半正定性,同时具有更快的收敛速度.
Abstract:
This paper presents the theory of passive location for the single airborne observer using Doppler frequency changing rate and differential direction of arrival, and introduces the square root UKF (unscented Kalman filter) algorithm. The square root UKF was compared with the EKF (extended Kalman filter) and UKF algorithms through simulation, and the results show that the estimation precision of the square root UKF is better than that of EKF, and compared with UKF, the square root form adds numerical stability and positive semidefiniteness of the state covariance, and in the meantime has faster convergence speed.

参考文献/References:

[1]单月晖,孙仲康,皇甫堪. 不断发展的无源定位技术[J]. 航天电子对抗,2002(1):39-40.
[2]孙仲康. 基于运动学原理的无源定位技术[C]//雷达无源定位跟踪技术研讨会. 北京,2001:1-8.
[3]龚享铱. 利用频率变化率和波达角变化率单站无源定位与跟踪的关键技术研究[D]. 长沙:国防科学技术大学,2004.
[4]JULIER S J,UHLMANN J K, DURRANTWHYTE H F. A new approach for filtering nonlinear systems[C]// Proceedings of the American Control Conference. Evanston, USA, 1995:1628-1632.
[5]占荣辉. 基于空频域信息的单站被动目标跟踪算法研究[D]. 长沙:国防科学技术大学,2007.
[6]MERWE R V D, WAN E A. The square root unscented Kalman filter for state and parameter estimation [C]//Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing. New York, USA, 2001:3461-3464.
[7]郭福成. 基于运动学原理的单站无源定位与跟踪关键技术研究[D]. 长沙:国防科学技术大学,2002.
[8]DIAO Ming, WANG Yue. Research of passive location based on the Doppler changing rate[J]. Systems Engineering and Electronics, 2006, 28(5): 696-698.[9]郭艳丽,杨绍全. 多普勒频率差无源定位技术[J].航天电子对抗,2002,4: 33-35.

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备注/Memo

备注/Memo:
基金项目:973国家安全重大基础研究基金资助项目(613930101011).
作者简介:周峰(1981-), 男, 硕士研究生,主要研究方向:宽带系统的信号检测、处理与识别,E-mail:zfjack@yeah.net.
更新日期/Last Update: 2010-12-03