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基于差分预处理的米波雷达低仰角处理算法

赵光辉 陈伯孝 吴向东 张守宏

赵光辉, 陈伯孝, 吴向东, 张守宏. 基于差分预处理的米波雷达低仰角处理算法[J]. 电子与信息学报, 2009, 31(2): 363-365. doi: 10.3724/SP.J.1146.2007.01381
引用本文: 赵光辉, 陈伯孝, 吴向东, 张守宏. 基于差分预处理的米波雷达低仰角处理算法[J]. 电子与信息学报, 2009, 31(2): 363-365. doi: 10.3724/SP.J.1146.2007.01381
Zhao Guang-hui, Chen Bai-xiao, Wu Xiang-dong, Zhang Shou-hong. An Algorithm Based on Differential Preprocessing of Low Elevation Estimation in VHF Radar[J]. Journal of Electronics & Information Technology, 2009, 31(2): 363-365. doi: 10.3724/SP.J.1146.2007.01381
Citation: Zhao Guang-hui, Chen Bai-xiao, Wu Xiang-dong, Zhang Shou-hong. An Algorithm Based on Differential Preprocessing of Low Elevation Estimation in VHF Radar[J]. Journal of Electronics & Information Technology, 2009, 31(2): 363-365. doi: 10.3724/SP.J.1146.2007.01381

基于差分预处理的米波雷达低仰角处理算法

doi: 10.3724/SP.J.1146.2007.01381
基金项目: 

国家部委级项目(51307050201)和教育部新世纪优秀人才支持计划项目(NCET-06-0856)资助课题

An Algorithm Based on Differential Preprocessing of Low Elevation Estimation in VHF Radar

  • 摘要: 由于多径信号的存在,使得米波雷达难以对低仰角目标进行高度测量,为此该文提出一种适用于多径情况下的波达方向估计方法。该方法通过差分处理,补偿了多径信号回波延迟的相位,使得接收回波中仅包含直达波信号,对差分后数据进行常规数字波束形成即可得到目标俯仰角。Monte-Carlo试验结果表明在进行低仰角测高过程中,该方法性能优于空间平滑和线性预测等方法。某米波雷达的实测数据验证了该方法的可行性与有效性。
  • 张瑜, 李玲玲. 多径条件下雷达到达角的估算及仿真.电波科学学报, 2004, 19(2): 215-218.Zhang Yu and Li Ling-ling. Radar arrived angle estimationand simulation under multi-path condition. Chinese Journalof Radar Science, 2004, 19(2): 215-218.[2]张瑜, 李玲玲. 低角雷达跟踪时的多路径散射模型. 电波科学学报, 2004, 19(1): 83-86.Zhang Yu and Li Ling-ling. Multipath scatting model of lowangle radar tracking. Chinese Journal of Radar Science, 2004,19(1): 83-86.[3]李立萍, 文忠, 陈天麒. 多径信号到达角和时延高分辨联合估计算法. 电子学报, 2006, 34(4): 746-750.Li Li-ping, Wen Zhong and Chen Tian-qi. High resolutionalgorithm of joint doa and toa estimation for multi-pathsignals. Acta Electronica Sinica, 2006, 34(6): 746-750.[4]Schmidt R O. Multiple emitter location and signal parameterestimation. IEEE Trans. on AP, 1986, AP-34(3): 276-280.[5]Kumaresan R et al.. Estimating the angles of arrival ofmultiple plane waves. IEEE Trans. on AES, 1983, AES-19(2):134-139.[6]Ziskind I and Wax M. Maximum likelihood locatization atmultiple sources by alternating projection. IEEE Trans. onASSP, 1988, ASSP-36(10): 1553-1560.[7]Burg J P. Maximum entropy spectral analysis. Proc.of the37th meeting of the Annual Int. SEG Meeting. OklahomaCity, OK, 1967.[8]Shahmirian V and Kesler S. Bias and resolution of the vectorspace methods in the presence of coherent planewaves.ICASSP, 1987: 2520-2523.[9]Lee W C, Park S C, Chan I W, and Yong D H. Adaptivespatial domain forward-backward predictors for bearingestimation[J].IEEE Trans. on ASSP.1990, 38(7):1105-1109[10]Shan T J, Wax M, and Kailath T. Adaptive beamforming forcoherent signals and interference[J].IEEE Trans. on ASSP.1985, 33(3):527-539[11]Shan T J, Wax M, and Kailath T. On spatial smoothing forestimation of coherent signals[J].IEEE Trans. on ASSP.1985,33(4):806-811[12]Miron S and Bihan N L. Quaternion MUSIC for vector sensorarray processing[J].IEEE Trans. on Signal Processing.2006,54(4):1218-1229[13]Gao F and Gershman A B. A generalized ESPRIT approachto direction of arrival estimation[J].IEEE Letters. on SignalProcessing.2005, 12(3):254-257[14]赵永波, 张守宏. 雷达低角跟踪环境下的最大似然波达方向估计方法. 电子学报, 2004, 32(9): 1520-1523.Zhao Yong-bo and Zhang shou-hong. Maximum likelihooddoa estimation in radar low-angle tracking environment. ActaElectronica Sinica, 2004, 32(9): 1520-1523.
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出版历程
  • 收稿日期:  2007-08-30
  • 修回日期:  2008-01-24
  • 刊出日期:  2009-02-19

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