一种改进的非合作目标定位方法及其应用验证
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摘要
针对传统非合作目标定位方法对回波信号的群路径误差敏感和性能不稳定的缺陷,提出了距离信息遗传迭代算法来实现非合作目标的定位。详细介绍了距离信息的遗传迭代算法,并构建了一发三收的多基地探测系统,开展了以电离层不均匀体作为非合作目标的定位试验。通过试验,成功获得了非合作目标的经度、纬度和高度信息。研究表明:该方法具有自我反馈机制,能够避免定位结果陷入局部最优解和算法性能的不稳定,为非合作目标定位的研究提供了一种新的思路。
For the drawback that the traditional location method of non-cooperative target is sensitive to the group path error of echo-signal and the performance is instable,the genetic iterative algorithm based on the distance information is presented in this paper to locate the non-cooperative target. The genetic iterative algorithm based on the distance information is introduced in detail. Furthermore,with the multi-base detection,the location experiment of the non-cooperative target which is the ionospheric irregularity is carried out. Through above experiment,the longitude,latitude and altitude of the non-cooperative target can be obtained. The study shows the location technology has feedback mechanism to avoid the location results into local optimal solution and instable performance,which provides a new idea for the study of non-cooperative target location.
For the drawback that the traditional location method of non-cooperative target is sensitive to the group path error of echo-signal and the performance is instable,the genetic iterative algorithm based on the distance information is presented in this paper to locate the non-cooperative target. The genetic iterative algorithm based on the distance information is introduced in detail. Furthermore,with the multi-base detection,the location experiment of the non-cooperative target which is the ionospheric irregularity is carried out. Through above experiment,the longitude,latitude and altitude of the non-cooperative target can be obtained. The study shows the location technology has feedback mechanism to avoid the location results into local optimal solution and instable performance,which provides a new idea for the study of non-cooperative target location.
引文
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[3]XU S,JU Y,ZHANG X.A target motion analysis algorithm based on Doppler frequency shift optimize search[C]//Proceedings of 2015 International Industrial Informatics and Computer Engineering Conference.Xi'an:IEEE,2015:1-6.
[4]MODALAVALASA N,RAO G S B,PRASAD K S,et al.Anew method of target tracking by EKF using bearing and elevation measurements for underwater environment[J].Robotics and Autonomous Systems,2015,74(PA):221-228.
[5]SHAO H J,ZHANG X P,WANG Z.Efficient closed-form algorithms for AOA based self-localization of sensor nodes using auxiliary variables[J].IEEE Transactions on Signal Processing,2014,62(10):2580-2594.
[6]HORST J,OISPUU M,KOCH W.Accuracy study for a piecewise maneuvering target with unknown maneuver change times[J].IEEE Transactions on Aerospace and E-lectronic Systems,2014,50(1):737-755.
[7]DONG S M,LIU H B,ZHAO B,et al.Study on method of parallel computing in match field localization[J].Application Research of Computers,2012,29(2):514-517.
[8]DUAN M,YANG Y,WANG W.An RFID data and location parameter joint estimation based on an improved MCMCmethod[J].Journal of Networks,2014,9(9):2392-2401.
[9]LI B,HE Y,ZUO L,et al.Metric of the application environment impact to the passive UHF RFID system[J].IEEE Transactions on Instrumentation and Measurement,2014,63(10):2387-2395.
[10]YU Y,MA G,HAO Z,et al.Correlation analysis for screening key parameters for passive system reliability analysis[J].Annals of Nuclear Energy,2015,77(6):23-29.
[11]ZHANG S,ZHU D,HUO K,et al.A new high precision range vernier method for phase-coded radar[C]//Proceedings of 2013 IEEE Cross Strait Quad-Regional Radio Science and Wireless Technology Conference(CSQR-WC).Chengdu:IEEE,2013:341-344.
[12]HUANG B,LIU Z,WU L.Maximum likelihood estimation and iterative algorithm for bearings-only target motion analysis[J].Journal of Naval University of Engineering,2013,25(1):54-58.
[13]LYATSKAYA Y,REHFELD K,KADAM D V,et al.Comparison of two techniques for target motion evaluation based on 4DCT images[J].International Journal of Biomedical Engineering and Technology,2012,8(2-3):117-137.
[14]孙仲康.单站无源定位跟踪技术[M].北京:国防工业出版社,2008.SUN Zhongkang.Single station passive location tracking technology[M].Beijing:National Defence Industry Press,2008.(in Chinese)