雷达自适应处理方法研究
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摘要
本文结合某型号相控阵雷达信号处理器的研制,从工程应用的角度出发,提出了一种基于MTD中间滤波器噪声统计的噪声电平恒虚警门限形成,距离、方位、高低、脉冲重复频率、多谱勒滤波器号(频率)的多维动态杂波图门限形成以及邻近距离单元恒虚警门限形成的目标检测综合自适应处理方法。该方法旨在雷达多维分辨意义上的高分辨条件下,以实时统计得到的虚警概率为基准,自适应调整杂波图和邻近距离单元恒虚警检测门限系数,在保持系统的虚警概率相对恒定的条件下,使得系统的检测损失较小。文章还给出了目标检测综合自适应门限形成的工程实现方法,结合工程试验验证了该方法的有效性,并分析了其特点。
According to the development of a signal processor for a phased array radar, in the aspect of practical engineering application, an integrated adaptive target detection processing approach is put forward on the basis of noise-level constant alarm threshold generation based on moving target detection (MTD) intermediate filter noise statistic, dynamic clutter map threshold generation in five dimensions of range, azimuth, elevation, pulse repetition frequency (PRF) and Doppler filter number (frequency), as well as constant false alarm threshold generation of adjacent range cells. The purpose of the approach is to adjust adaptively constant false alarm detection threshold coefficients of clutter map and adjacent range cell by taking the reference of false alarm probability obtained in real-time statistic, meanwhile to achieve multi-dimension high resolution, reduce system detection loss and keep a relatively stable system false alarm probability. Engineering implementation method of the integrated adaptive threshold generation for target detection is provided; and efficiency of the approach is verified in practical test and its characteristics are analyzed.
According to the development of a signal processor for a phased array radar, in the aspect of practical engineering application, an integrated adaptive target detection processing approach is put forward on the basis of noise-level constant alarm threshold generation based on moving target detection (MTD) intermediate filter noise statistic, dynamic clutter map threshold generation in five dimensions of range, azimuth, elevation, pulse repetition frequency (PRF) and Doppler filter number (frequency), as well as constant false alarm threshold generation of adjacent range cells. The purpose of the approach is to adjust adaptively constant false alarm detection threshold coefficients of clutter map and adjacent range cell by taking the reference of false alarm probability obtained in real-time statistic, meanwhile to achieve multi-dimension high resolution, reduce system detection loss and keep a relatively stable system false alarm probability. Engineering implementation method of the integrated adaptive threshold generation for target detection is provided; and efficiency of the approach is verified in practical test and its characteristics are analyzed.
引文
[1]张光义,赵玉洁.相控阵雷达技术[M].北京：电子工业出版社,2006,12.
[2]吴顺君,梅晓春.雷达信号处理和数据处理技术[M].北京：电子工业出版社,2008,2.
[3]李颖,周辉.最大熵估计在预测雷达杂波中的应用.雷达与对抗,2001,4：21-25.
[4]李蕴滋.雷达工程学[M].北京：海洋出版社,1999,3.
[5]李静威,吴桂生,察豪.对噪声干扰的慢门限恒虚警处理分析[J].船舶电子工程,2008,4：106-108.
[6]陶海红,李明,廖桂生.雷达杂波图的形成算法及实现[J].现代雷达,2002,3：13-15.
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[8]刘洪亮.UHF波段特种体制雷达近区杂波抑制技术研究与应用[D].国防科技大学,2005,5：15-18
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[12]彭金花,徐荃.自相关法和Burg法在AR模型谱估计中的仿真比较[J].黑龙江科技信息,2008,3.57
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[14]王心福.雷达恒虚警处理对噪声干扰的影响[J].电子对抗技术,2000,3：1-6.
[15]何友.雷达自动检测与恒虚警处理[M].北京：清华大学出版社,1999.3.
[16]胡航.CFAR处理中检测门限系数的研究[J].火控雷达技术,2005,34(2)：1-3.
[17]ZEINEDDINE CHAIR AND PRAMOU K. VARSI3NEY,Distributed Bayesian Hypothesis Testing with Distributed Data Fusion, IEEE ANSACTIONS ON SYSTEMS, MAN AND CYRERNETICS, VOL.18, NO.5, SEPTEMBER/ OCTORER 1988.
[18]Multistatic radar detection:synthesis and comparison of optimum and suboptimum receivers, Prof.Ernesto Conte,Dr.-Ing.,Egidio D'Addio,Dr.-Ing.,Prof.Alfonso Farina,Dr.-Ing.,and Prof.Maurizio Longo,Dr.-Ing.,M.S.E.E., IEE PROCEEDINGS,Vol.130,Part F,No.6,OCTOBER 1983.
[19]Z.CHAIR, P.K.VARSHNEY, Optimal Data Fusion in Multiple Sensor Detection Systems, IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS VOL.AES-22, NO.1 JANUARY 1986.
[20]龚清勇,朱兆达.非均匀环境下雷达动目标检测的空时自适应处理[J].南京航空航天大学,2009,27(4)370-374.
[21]曹晨,王小谟.关于雷达杂波性质研究的若干问题[J].现代雷达,2001,23(5)l-5.
[22]潘鲁英.基于高速DSP的雷达自适应检测[J].现代电了技术,2008(23)：65-67.
[23]何友,关键,孟祥伟,陆大纟金,彭应宁.雷达自动检测和CFAR处理方法综述[J].系统工程与电子技术,2001,23(1)：9-13.
[24]谭艳春.相控阵雷达阵列信号的空域自适应处理[D].哈尔滨工程大学,2005,12：35-43.
[25]李晓明,冯大政.一种机载雷达两级降维空时二维自适应处理方法[J].航空学报,2008,29(1)：170-175.
[26]侯庆禹,刘宏伟,保铮.一种新的宽带目标识别雷达杂波抑制方法[J].西安电子科技大学学报(自然科学版),2008,35(5)：769-773.
[27]张长隆.杂波建模与仿真技术及其在雷达信号模拟器中的应用研究[D].国防科学技术大学,2004,3：25-38.
[28]黄丽,汪学刚.自适应杂波抑制的一种算法与实现[J].现代电子技术,2005,8：82-84.
[29]L.E.Brennan et al.Theory of adaptive radar.IEEE Trans on AES,1973,9(2): 237-252.
[30]F.Chiuppesi et al.Optimisation of rejection filters.IEEE Proc. OCT,1980,127(5): 354-360.
[31]D.Cartic schleher.MTI and pulsed Doppler radar.Artedch House,Inc,1991.
[32]龚耀寰.自适应滤波.北京：电子工业出版社.2003.
[33]V.Aloisio et al.Optimums detection of moderately fluctuatiny radar targets.IEE Proc,Pt.F,1994,(3):164-170
[34]温玉.雷达无源干扰建模及杂波抑制方法研究[D].电子科技大学,2005,5：3-4.
[2]吴顺君,梅晓春.雷达信号处理和数据处理技术[M].北京：电子工业出版社,2008,2.
[3]李颖,周辉.最大熵估计在预测雷达杂波中的应用.雷达与对抗,2001,4：21-25.
[4]李蕴滋.雷达工程学[M].北京：海洋出版社,1999,3.
[5]李静威,吴桂生,察豪.对噪声干扰的慢门限恒虚警处理分析[J].船舶电子工程,2008,4：106-108.
[6]陶海红,李明,廖桂生.雷达杂波图的形成算法及实现[J].现代雷达,2002,3：13-15.
[7]马晓岩,向家彬等.雷达信号处理[M].长沙：湖南科学技术出版社,1999,7.
[8]刘洪亮.UHF波段特种体制雷达近区杂波抑制技术研究与应用[D].国防科技大学,2005,5：15-18
[9]马哈夫扎(Mahafza, B.R.)著.陈志杰等译.雷达系统分析与设计(Matlab版)(第二版)[M].北京：电子工业出版社,2008,10.
[10]陈建春,徐少莹.多杂波抑制技术[J].系统工程与电子技术,2000,8：28-30.
[11]陈建春,耿富录.运动杂波自适应抑制技术[J].西安电子科技大学学报,1999,2：174-177.
[12]彭金花,徐荃.自相关法和Burg法在AR模型谱估计中的仿真比较[J].黑龙江科技信息,2008,3.57
[13]陶海红,廖桂生,宋万杰,王伶.多模杂波抑制的参差时变多凹口滤波器设计[J].系统工程与电子技术,2004,2：153-156.
[14]王心福.雷达恒虚警处理对噪声干扰的影响[J].电子对抗技术,2000,3：1-6.
[15]何友.雷达自动检测与恒虚警处理[M].北京：清华大学出版社,1999.3.
[16]胡航.CFAR处理中检测门限系数的研究[J].火控雷达技术,2005,34(2)：1-3.
[17]ZEINEDDINE CHAIR AND PRAMOU K. VARSI3NEY,Distributed Bayesian Hypothesis Testing with Distributed Data Fusion, IEEE ANSACTIONS ON SYSTEMS, MAN AND CYRERNETICS, VOL.18, NO.5, SEPTEMBER/ OCTORER 1988.
[18]Multistatic radar detection:synthesis and comparison of optimum and suboptimum receivers, Prof.Ernesto Conte,Dr.-Ing.,Egidio D'Addio,Dr.-Ing.,Prof.Alfonso Farina,Dr.-Ing.,and Prof.Maurizio Longo,Dr.-Ing.,M.S.E.E., IEE PROCEEDINGS,Vol.130,Part F,No.6,OCTOBER 1983.
[19]Z.CHAIR, P.K.VARSHNEY, Optimal Data Fusion in Multiple Sensor Detection Systems, IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS VOL.AES-22, NO.1 JANUARY 1986.
[20]龚清勇,朱兆达.非均匀环境下雷达动目标检测的空时自适应处理[J].南京航空航天大学,2009,27(4)370-374.
[21]曹晨,王小谟.关于雷达杂波性质研究的若干问题[J].现代雷达,2001,23(5)l-5.
[22]潘鲁英.基于高速DSP的雷达自适应检测[J].现代电了技术,2008(23)：65-67.
[23]何友,关键,孟祥伟,陆大纟金,彭应宁.雷达自动检测和CFAR处理方法综述[J].系统工程与电子技术,2001,23(1)：9-13.
[24]谭艳春.相控阵雷达阵列信号的空域自适应处理[D].哈尔滨工程大学,2005,12：35-43.
[25]李晓明,冯大政.一种机载雷达两级降维空时二维自适应处理方法[J].航空学报,2008,29(1)：170-175.
[26]侯庆禹,刘宏伟,保铮.一种新的宽带目标识别雷达杂波抑制方法[J].西安电子科技大学学报(自然科学版),2008,35(5)：769-773.
[27]张长隆.杂波建模与仿真技术及其在雷达信号模拟器中的应用研究[D].国防科学技术大学,2004,3：25-38.
[28]黄丽,汪学刚.自适应杂波抑制的一种算法与实现[J].现代电子技术,2005,8：82-84.
[29]L.E.Brennan et al.Theory of adaptive radar.IEEE Trans on AES,1973,9(2): 237-252.
[30]F.Chiuppesi et al.Optimisation of rejection filters.IEEE Proc. OCT,1980,127(5): 354-360.
[31]D.Cartic schleher.MTI and pulsed Doppler radar.Artedch House,Inc,1991.
[32]龚耀寰.自适应滤波.北京：电子工业出版社.2003.
[33]V.Aloisio et al.Optimums detection of moderately fluctuatiny radar targets.IEE Proc,Pt.F,1994,(3):164-170
[34]温玉.雷达无源干扰建模及杂波抑制方法研究[D].电子科技大学,2005,5：3-4.