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非均匀环境下利用杂波脊信息的杂波滤除方法研究

周宇 张林让 刘楠 刘昕

周宇, 张林让, 刘楠, 刘昕. 非均匀环境下利用杂波脊信息的杂波滤除方法研究[J]. 电子与信息学报, 2010, 32(6): 1332-1337. doi: 10.3724/SP.J.1146.2009.01104
引用本文: 周宇, 张林让, 刘楠, 刘昕. 非均匀环境下利用杂波脊信息的杂波滤除方法研究[J]. 电子与信息学报, 2010, 32(6): 1332-1337. doi: 10.3724/SP.J.1146.2009.01104
Zhou Yu, Zhang Lin-rang, Liu Nan, Liu Xin. Study on Exploring Knowledge of the Clutter Ridge for Clutter Suppression in Heterogeneous Environments[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1332-1337. doi: 10.3724/SP.J.1146.2009.01104
Citation: Zhou Yu, Zhang Lin-rang, Liu Nan, Liu Xin. Study on Exploring Knowledge of the Clutter Ridge for Clutter Suppression in Heterogeneous Environments[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1332-1337. doi: 10.3724/SP.J.1146.2009.01104

非均匀环境下利用杂波脊信息的杂波滤除方法研究

doi: 10.3724/SP.J.1146.2009.01104

Study on Exploring Knowledge of the Clutter Ridge for Clutter Suppression in Heterogeneous Environments

  • 摘要: 该文针对空时自适应检测训练样本中含有干扰目标会导致目标检测性能下降的问题,提出一种利用杂波脊先验信息滤除杂波的方法,使目标检测不受训练样本中干扰目标的影响,并且提高了小样本情况下的检测性能。利用机载雷达地杂波在角度多普勒空间的分布特点,结合杂波2维高斯功率谱密度模型,构造杂波协方差矩阵用于滤除对目标有遮蔽影响区域内的杂波。模型参数的设定充分结合了环境先验信息,使参数设定快速准确。通过仿真数据和MCARM实测数据的仿真实验,结果表明在训练样本被干扰目标污染和小样本情况下,利用杂波脊信息的杂波滤除方法均能有效滤除杂波,检测性能高于传统的自适应检测方法。
  • Ward J. Space-time adaptive processing for airborne radar. Technical Report No. 1015, Lincoln Laboratories, December 13, 1994.[2]Reed S, Mallett J D, and Brennan L E. Rapid convergence rate in adaptive arrays [J].IEEE Transactions on Aerospace and Electronic System.1974, 10(4):853-863[3]Melvin W L. Space-time adaptive radar performance in heterogeneous clutter [J].IEEE Transactions on Aerospace and Electronic System.2000, 36(2):621-633[4]Melvin W L and Guerci J R. Adaptive detection in dense target environments [C]. Proceedings of the 2001 IEEE Radar Conference, Atlanta, GA, USA, 2001: 187-192.[5]Ohnishi K, Bergin J S, Teixeira C M, and Techau P M. Site-specific modeling tools for predicting the impact of corrupting mainbeam targets on STAP [C]. Proceedings of the 2005 IEEE Radar Conference, Alexandria, VA, May 9-12, 2005: 393-398.[6]Melvin W L, Wicks M C, and Brown R D. Assessment of multichannel airborne radar measurements for analysis and design of space-time processing architecture and algorithms [C]. IEEE International Radar Conference, Ano Arbor, MI, May, 1996: 130-135.[7]Bergin J S, Techau P M, Melvin W L, and Guerci J R. GMTI STAP in target-rich environment: site-specific analysis [C]. Proceedings of the 2002 IEEE Radar Conference, Long Beach, California, USA, 2002: 391-396.[8]Guerci J R and Melvin W L. Special section on knowledge-aided sensor signal and data processing [J].IEEE Transactions on Aerospace and Electronic System.2006, 42(3):983-1120[9]Wicks M and Capraro G. Knowledge based signal processing, waveform diversity and systems engineering [C]. Proceedings of the 2008 IEEE Radar Conference, Rome, Italy, May 26-30, 2008: 1.[10]Capraro G T, Wicks M C, and Szczepanski W E. Waveform diversity and knowledge based signal processing in distributed radar [C]. Proceedings of the 2009 IEEE Radar Conference, Pasadena, California, USA, May 4-8, 2009: 1-6.[11]Guerci J R and Baranoski E J. Knowledge-aided adaptive radar at DARPA an overview [J].IEEE Signal Processing Magazine.2006, 23(1):41-50[12]Capraro C T, Capraro G T, Maio A D, Farina A, and Wicks M. Demonstration of Knowledge-aided space-time adaptive processing using measured airborne data [J].IEE Proceedings on Radar, Sonar and Navigation.2006, 153(6):487-494[13]Stoica P, Li Jian, Zhu Xumin, and Guerci J R. On using a priori knowledge in space-time adaptive processing [J].IEEE Transactions on Signal Processing.2008, 56(6):2598-2602[14]Bidon S, Besson O, and Tourneret J Y. Characterization of clutter heterogeneity and estimation of its covariance matrix [C]. Proceedings of the 2008 IEEE Radar Conference, Rome, Italy, May, 26-30 2008: 1-6.[15]Shackelford A K, Gerlach K, and Blunt S D. Partially adaptive STAP using the FRACTA algorithm [J].IEEE Transactions on Aerospace and Electronic System.2009, 45(1):58-69[16]Maio A D, Farina A, and Wicks M. KB-GLRT: Exploiting knowledge of the clutter ridge in airborne radar [C][J].IEE Proceedings on Radar, Sonar and Navigation.2005, 152(6):421-428[17]Wang Y L, Chen J W, Bao Z, and Peng Y N. Robust space- time adaptive processing or airborne radar in nonhomogeneous clutter environments [J].IEEE Transaction on Aerospace and Electronic System.2003, 39(1):70-81[18]Wang H and Cai L. On adaptive spatial-temporal processing for airborne surveillance radar systems [J].IEEE Transactions on Aerospace and Electronic System.1994, 30(3):660-669
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出版历程
  • 收稿日期:  2009-08-21
  • 修回日期:  2010-02-08
  • 刊出日期:  2010-06-19

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