Memetic优化的外辐射源雷达方位-多普勒定位方法

doi:10.3969/j.issn.1001-2400.2012.04.009

J4 ›› 2012, Vol. 39 ›› Issue (4): 46-51+102.doi: 10.3969/j.issn.1001-2400.2012.04.009

Memetic优化的外辐射源雷达方位-多普勒定位方法

同非;王俊;李红伟

(西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071)

收稿日期:2011-05-04 出版日期:2012-08-20 发布日期:2012-10-08
通讯作者: 同非
作者简介:同非(1987-)，男，西安电子科技大学硕士研究生，E-mail: shadytong@126.com．
基金资助:
国家自然科学基金资助项目(60472087);国家部委科技预研基金资助项目(9140C0105071006)

Novel passive radar location algorithm based on Memetic optimization by using the bearing-and-Doppler frequency

TONG Fei;WANG Jun;LI Hongwei

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China)

Received:2011-05-04 Online:2012-08-20 Published:2012-10-08
Contact: TONG Fei

摘要/Abstract

摘要：

针对外辐射源雷达系统中快速高精度定位信息不易得到的问题，提出一种基于文化基因(Memetic)优化的方位-多普勒联合定位算法，首次将Memetic算法引入外辐射源定位领域，并设计了一种新的下降方向作为Memetic局部搜索策略，把目标定位转化成函数优化问题．实验结果显示，在无先验初始点信息和单次观测条件下，新算法不仅能将相对定位误差控制在较小范围内，而且能使定位精度稳定地逼近克拉美罗界．相比采用传统进化算法解决定位问题，新方法能够以更快的速度收敛到最优解，且单次定位时间更短，精度更高，从而实现对目标位置的快速高精度定位．

关键词: 无源雷达, 文化基因算法, 局部搜索, 克拉美罗界, 进化算法

Abstract:

As the fast and high accurate location information is difficult to obtain in passive radar systems, this paper proposes a passive radar location algorithm based on Memetic optimization by using the bearing-and-Doppler frequency, which is the first time to introduce the Memetic algorithm to the passive location field. With a newly designed decreasing direction as the Memetic local search strategy, the target location is transformed to a problem of function optimization. Experimental results validate that the new algorithm, realizing a fast and high accurate target location, can not only retain the relative error under a low level so that the location accuracy can approach the Cramer-Rao Bound steadily, but also converge to the optimal solution more rapidly than evolutionary algorithm location.

Key words: passive radar, Memetic algorithm, local search, Cramer-Rao Bound (CRB), evolutionary algorithm

中图分类号:

TN958.97

同非;王俊;李红伟. Memetic优化的外辐射源雷达方位-多普勒定位方法[J]. J4, 2012, 39(4): 46-51+102.

TONG Fei;WANG Jun;LI Hongwei. Novel passive radar location algorithm based on Memetic optimization by using the bearing-and-Doppler frequency[J]. J4, 2012, 39(4): 46-51+102.

参考文献

［1］ Jauffret C, Pillon D. Observability in Passive Target Motion Analysis［J］. IEEE Trans on Aerospace and Electronic Systems, 1996, 32(4): 1290-1300.
［2］ Becker K. Three-dimensional Target Motion Analysis Using Angle and Frequency Measurements［J］. IEEE Trans on Aerospace and Electronic Systems, 2005, 41(1): 284-301.
［3］孙仲康, 周一宇, 何黎星. 单多基地有源无源定位技术［M］. 北京: 国防工业出版社 ,1996.
［4］李红伟, 王俊, 刘玉春. 两种外辐射源雷达跟踪算法性能分析［J］. 西安电子科技大学学报, 2010, 37(6): 1049-1052.
Li Hongwei, Wang Jun, Liu Yuchun. Performance Analysis of Two Passive Radar Tracking Algorithms［J］. Journal of Xidian University, 2010, 37(6): 1049-1052.
［5］牛新亮, 赵国庆, 刘原华, 等. 低空目标高精度无源时差定位方法［J］. 西安电子科技大学学报, 2009, 36(5): 862-866.
Niu Xinliang, Zhao Guoqing, Liu Yuanhua, et al. High Precision Passive TDOA Location Method for Low-altitude Targets［J］. Journal of Xidian University, 2009, 36(5): 862-866.
［6］ Becker K. Passive Localization of Frequency-agile Radars from Angle and Frequency Measurements［J］. IEEE Trans on Aerospace and Electronic Systems, 1999, 35(4): 1129-1144.
［7］ Xue L, Jiao Shuhong . Adaptive Iterated SRUKF for Single Observer Passive Location［J］. Journal of Harbin Engineering University, 2011(3): 217-221.
［8］ Yang X, Zou H. Passive Location of the Nonlinear Systems with Fuzzy Uncertainty［J］. Simulation Modeling Practice and Theory, 2010, 18(3): 304-316.
［9］ Someya H. Theoretical Analysis of Phenotypic Diversity in Real-Valued Evolutionary Algorithms With More-Than-One-Element Replacement［J］. IEEE Trans on Evolutionary Computation, 2011, 15(2): 248-266.
［10］曹爱华, 李万春, 李立萍. 基于差分进化与遗传算法的多普勒外辐射源定位算法研究［J］. 信号处理, 2009, 25(10): 1644-1648.
Cao Aihua, Li Wanchun, Li Liping. A Passive Location Algorithm Based on Differential Evolution and Genetic Algorithm Using the Doppler Frequency［J］. Signal Processing, 2009, 25(10): 1644-1648.
［11］吴林晟, 周希朗, 高为, 等. 一种基于改进遗传算法的只测向无源定位技术［J］. 电子与信息学报, 2006, 28(12): 2252-2255.
Wu Linsheng, Zhou Xilang, Gao Wei, et al. A Bearing-Only Passive Location Method Based on Improved Genetic Algorithm［J］. Journal of Electronics & Information Technology, 2006, 28(12): 2252-2255.
［12］ Ong Y S, Lim M H, Chen X. Research Frontier: Memetic Computation-past, Present & Future［J］. IEEE Computational Intelligence Magazine, 2010, 5(2): 24-36.
［13］ Mei Y, Tang K. Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem［J］. IEEE Trans on Evolutionary Computation, 2011, 15(2): 151-165.
［14］ Whitley D, Gordon V S, Mathias K. Lamarckian Evolution, the Baldwin Effect and Function Optimization［DB/OL］. ［2011-03-30］. http://www.springerlink.com/contnet/y126q7701382114m/.
［15］ Morris G M, Goodsell D S, Halliday R S, et al. Automated Docking Using a Lamarckian Genetic Algorithm and an Empirical Binding Free Energy Function［J］. Journal of Computational Chemistry, 1998, 19(14): 1639-1662.
［16］ Gong M, Jiao L. Lamarckian Learning in Clonal Selection Algorithm for Numerical Optimization［J］. International Journal on Artificial Intelligence Tools, 2010, 19(1): 19-37.
［17］ Gong M, Jiao L, Zhang L. Baldwinian Learning in Clonal Selection Algorithm for Optimization［J］. Information Sciences, 2010, 180(8): 1218-1236.
［18］ Jiao L, Gong M, Wang S, et al. Natural and Remote Sensing Image Segmentation Using Memetic Computing［J］. IEEE Computational Intelligence Magazine, 2010, 5(2): 78-91.
［19］ Deb K, Agrawal R B. Simulated Binary Crossover for Continuous Search Space［J］. Complex Systems, 1994, 50(9): 115-148.

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Memetic优化的外辐射源雷达方位-多普勒定位方法

Novel passive radar location algorithm based on Memetic optimization by using the bearing-and-Doppler frequency

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