基于窄带RCS的空间目标尺寸识别
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摘要
针对空间目标RCS序列生成繁琐、由RCS序列提取目标尺寸信息困难等问题,提出了一种动态RCS序列生成方法以及一种基于椭球体模型并划定门限的空间目标尺寸估计方法。建立以卫星工具箱(Satellite Tool Kit,STK)与RCS计算程序为核心的空间目标动态RCS序列生成方法。将空间目标等效为椭球体,基于RCS序列均值与方差建立空间目标尺寸识别模型,提出一种划定门限以及去除异常值的空间目标尺寸估计方法,对空间目标的长轴、短轴进行尺寸识别。分析结果表明,对于自旋卫星,本模型识别准确率高,其中长轴准确率达到98.3%;对于三轴稳定卫星,单站测量精度低,采用多站多圈测量可提高识别的准确率。
To address the issues of the complicated process of generating RCS and difficulties of extracting target size information by RCS,this paper proposes a dynamic method to build RCS sequence. An estimation method based on ellipsoid model to estimate the size of space target is also proposed.A dynamic RCS generation method for space targets is presented,which focuses on satellite tool kit( STK) and RCS calculation program.The space targets are considered as equivalent to ellipsoids.And a recognition model based on the mean and variance of RCS used to recognize space target size is established,which can identify the long axis and short axis of the space target.The simulation shows that the accuracy of this model is high for spin satellite,especially for long axis the accuracy is 98.3%.As for three-axis stable satellite,however,the accuracy of single station is low,while it can be improved by using multi-station and multi-loop measurement.
To address the issues of the complicated process of generating RCS and difficulties of extracting target size information by RCS,this paper proposes a dynamic method to build RCS sequence. An estimation method based on ellipsoid model to estimate the size of space target is also proposed.A dynamic RCS generation method for space targets is presented,which focuses on satellite tool kit( STK) and RCS calculation program.The space targets are considered as equivalent to ellipsoids.And a recognition model based on the mean and variance of RCS used to recognize space target size is established,which can identify the long axis and short axis of the space target.The simulation shows that the accuracy of this model is high for spin satellite,especially for long axis the accuracy is 98.3%.As for three-axis stable satellite,however,the accuracy of single station is low,while it can be improved by using multi-station and multi-loop measurement.
引文
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[19]于春锐,梁甸农,董臻,等.基于窄带雷达RCS序列的空间目标尺寸估计[J].空间科学学报,2010,30(3):250-254.
[20]丁小峰.基于窄带信息的弹道中段目标特性反演技术研究[D].长沙:国防科学技术大学,2011.
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[22]王洋,李玉书,张健.基于RCS信息的雷达目标大小分类方法[J].现代雷达,2009,31(2):17-19.
[2]乔凯,王治乐,丛明煜.空间目标天基与地基监视系统对比分析[J].光学技术,2006,32(5):744-746.
[3]耿文东,杜小平,李智.空间态势感知导论[M].北京:国防工业出版社,2015.
[4]BADHWAR G D.Determination of the Area and Mass Distribution of Orbital Debris Fragments[J].Earth Moon&Planets,1989,45(1):29-51.
[5]金胜,高梅国,王洋.基于RCS的空间目标识别技术[J].现代雷达,2010,32(6):59-62.
[6]黄剑.空间目标RCS特征参数提取技术研究[D].长沙:国防科学技术大学,2009.
[7]金林.弹道导弹防御系统综述[J].现代雷达,2012,34(12):1-7.
[8]黄培康,殷红成,许小剑.雷达目标特性[M].北京:电子工业出版社,2005.
[9]戴崇,徐振海,肖顺平.非合作目标动态RCS仿真方法[J].航空学报,2014,35(5):1374-1384.
[10]戴崇.雷达目标动态RCS特性建模方法研究[D].长沙:国防科学技术大学,2013.
[11]姚小强,侯志森,郭相科.基于RCS序列的弹道导弹进动周期提取方法验证研究[J].现代雷达,2017,39(11):63-67.
[12]DONG W S,NAM H J,KWON O J,et al.Dynamic RCS Estimation of Chaff Clouds[J].IEEE Transactions on Aerospace&Electronic Systems,2012,48(3):2114-2127.
[13]周超,张小宽,吴国成.基于坐标转换目标动态RCS时间序列研究[J].火力与指挥控制,2014(3):56-59.
[14]徐灿,李智.基于改进Gordon方程的RCS快速算法[J].装备学院学报,2016,27(5):85-89.
[15]DELISLEG Y.A Novel Approach to Complex Target Recognition Using RCS Wavelet Decomposition.IEEE Antennas and Propagation Magazine,2005 47(1):35-55.
[16]DELISLE G Y.RCS of Projectiles-analytical and Experimental Results[C]∥Proceedings of the 1986 IEEE National Radar Conference,1986:83-86.
[17]National Aeronautics and Space Administration.Handbook For Limiting Orbital Debris[M].Washington:NASAHANDBOOK 8719.14,2008.
[18]黄小红,马云,陈曾平.利用RCS序列估计空间目标尺寸的方法研究[J].信号处理,2005,21(6):639-641.
[19]于春锐,梁甸农,董臻,等.基于窄带雷达RCS序列的空间目标尺寸估计[J].空间科学学报,2010,30(3):250-254.
[20]丁小峰.基于窄带信息的弹道中段目标特性反演技术研究[D].长沙:国防科学技术大学,2011.
[21]LAMBOUR R,RAJAN N,MORGAN T,et al.Assessment of Orbital Debris Size Estimation from Radar cross-section Measurements[J].Advances in Space Research,2004,34(5):1013-1020.
[22]王洋,李玉书,张健.基于RCS信息的雷达目标大小分类方法[J].现代雷达,2009,31(2):17-19.