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一种空时自适应处理的降维矩阵改进算法 被引量:4

An Improved STAP Algorithm Based on Dimension Reduction
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摘要 针对现有空时自适应处理(STAP)难以同时兼顾数据采样与性能,提出了一种STAP的降维矩阵改进算法,并给出了这种矩阵的具体构成。该算法的降维矩阵选取结合了局域联合处理方法(JDL)在主波束周围选取辅助通道性能稳定和广义相邻多波束法(GMB)辅助通道对准主波束选取针对性强的特点。仿真实验表明了该算法相比JDL和GMB方法在性能有所提升的同时也兼顾降低了数据采样要求。 To solve the problems of huge calculation and low performance of the space-time adaptive processing(STAP),a reduced dimension matrix STAP algorithm was put forward in this thesis,and the construction of the matrix was introduced.The selection of the matrix combined the advantages of high stability and pertinence of JDL and GMB.The algorithm was compared with JDL and GMB,and simulation results showed that the algorithm not only reduced the calculation,but also improved the performance.
出处 《探测与控制学报》 CSCD 北大核心 2010年第6期37-41,共5页 Journal of Detection & Control
基金 航空基金项目资助(2010ZC53028)
关键词 机载雷达 STAP 杂波降维 改善因子 airborne radar space-time adaptive processing(STAP) reduced dimension transformation improvement factor
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  • 1王永良,吴志文,彭应宁.适于非均匀杂波环境的空时自适应处理方法[J].电子学报,1999,27(9):56-58. 被引量:16
  • 2Wang H,Cai L.On adaptive spatial-temporal processing for airborne surveillance rader systems[J].IEEE Trans,1994,AES-30(3):600-670.
  • 3Klemm R.Adaptive clutter suppression for airborne phased array rader[J].IEEE Proceesing,Part F:Communications,Rader and Signal Processing,1983,130(1):125-132.
  • 4Adve R S,Hale T B,Wicks M C Practical Joint Domain Localized Adaptive Processing in Homogeneous and Nonhomogenenous Environments[J].IEE Pro-Radar,Sonar Navig,2000,147(2):66-74.
  • 5王万林,廖桂生,张光斌.在非均匀环境下辅助通道法STAP处理的性能改善[J].西安电子科技大学学报,2004,31(5):761-764. 被引量:5

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  • 1王万林,廖桂生,张光斌.在非均匀环境下辅助通道法STAP处理的性能改善[J].西安电子科技大学学报,2004,31(5):761-764. 被引量:5
  • 2Brennan LE,Reed I S.Theory of adaptive radar[J]. IEEE trans AES, 1973,9 (3):237-252.
  • 3Fishier E, Hainovich A, Blum R.MIMO radar: an idea whose time has come[C]//Radar conference 2004 proceedings of the IEEE. Philadelphia: IEEE Press, 2004:71-78.
  • 4Bliss D W, Foraythe K W. Multiple-input multiple- output (MIMO) radar and imaging: degrees of free- dom and resolution[C]//Proceedings of the 37th IEEE asilomar conference on signals systems comput- ers. Monterey, USA: IEEE press, 2003 : 51- 59.
  • 5Jaffer A G, Ho P T, Himed B. Adaptive compensa- tion for conformal array STAP by configuration pa- rameter estimation[C]//Proc of the IEEE conference on rrdar verona. NY, USA: IEEE press, 2006: 731- 736.
  • 6Stoica P, Li J, Zhu X M, et al. On using priori knowledge in space-time adaptive processing [J]. IEEE trans on SP, 2008, 56(6): 2598-2602.
  • 7Wang Yongliang, Bao Zheng, Liao Guisheng.Threeunited configurations on adaptive spatial-temporal processing for airborne surveillance radar system [C]//International conference on signal processing (ICSP' 93).Beijing : [s.n.],1993 : 23-27.
  • 8Bliss D W, Foraythe K W. Multiple-Input Multiple-Output (MIMIO) Radar and Imaging: Degrees of Freedom and Reso- lution[C]//Proceedings of the 37th IEEE Silomar Conference on Signals Systems Computers. Pacitic Grove: IEEE press , 2003: 54-59.
  • 9Bekkerman I, Tabrikian J. Target Detection and Localization Using MIMO Radars and Sonars [J]. IEEE Trans on Signal Processing, 2006,54(10) : 3873-3883.
  • 10王永良,李天泉.机载雷达空时自适应信号处理技术回顾与展望[J].中国电子科学研究院学报,2008,3(3):271-275. 被引量:23

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