期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于STFAP的MIMO雷达运动目标参数估计的CRB研究 被引量：2

Research on CRB for Moving Target Parameter Estimation in MIMO Radar Based on STFAP
下载PDF
导出
摘要 多发多收(Multiple-Input Multiple-Output,MIMO)雷达在目标检测、参数估计等方面具有显著优势。目标参数估值的CRB被证明是系统设计和空时自适应处理(STAP)性能分析中的有力工具。该文针对采用频分正交信号的共置天线MIMO雷达,首先建立基于MIMO雷达的目标和杂波空-时-频信号模型;在此基础上,研究基于空-时-频自适应处理(STFAP)的MIMO雷达地面运动目标角度和多普勒参数最大似然估值的克拉美-罗界(CRB);最后通过CRB性能仿真分析验证了MIMO雷达STFAP有效消除动目标检测盲速,提高目标参数估计精度的优势。 MIMO（Multiple-Input Multiple-Output） radar has evident advantages in target detection,parameter estimation,and so on.The Cramer-Rao Bound（CRB） for parameter estimation is proved to be a useful tool for characterizing system design and STAP performance.Therefore,based on MIMO radar with collocated antennas utilizing orthogonal frequency division signal,the space time frequency signal model of target and clutter is given to be used in MIMO radar first.On the basis of the model,the CRB of the ML estimator of ground moving target angle and Doppler for MIMO radar are deduced based on STFAP.Finally,through simulation of CRB performance,it is demonstrated that MIMO radar is effective in eliminating velocity blind zones and improving target parameter estimation accuracy.
作者 邹博 董臻 梁甸农
机构地区 国防科技大学电子科学与工程学院 陆航研究所
出处 《电子与信息学报》 EI CSCD 北大核心 2011年第8期1988-1992,共5页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60901071 60902092) 国家部委基金资助课题
关键词 多发多收雷达 空-时-频自适应处理 克拉美-罗界 最大似然估计 MIMO radar Space-Time-Frequency Adaptive Processing（STFAP） Cramer-Rao Bound（CRB） Maximum Likelihood（ML） estimation
分类号 TN958 [电子电信—信号与信息处理]
  • 相关文献

参考文献2

二级参考文献18

  • 1戴喜增,彭应宁,汤俊.MIMO雷达检测性能[J].清华大学学报（自然科学版）,2007,47(1):88-91. 被引量：46
  • 2Lehmann N H, Fishler E, and Haimovich A M, et al.. Evaluation of transmit diversity in MIMO-radar direction finding [J]. IEEE Trans. on SP, 2007, 55(5): 2215-2225.
  • 3Wang J, Dogandzic A, and Nehorai A. Maximum likelihood estimation of compound-gaussian clutter and target parameters [J]. IEEE Trans. on SP, 2006, 54(10): 3884-3898.
  • 4Balleri A, Nehorai A, and Wang J. Maximum likelihood estimation for compound-gaussian clutter with inverse gamma texture [J]. IEEE Trans. on AES, 2007, 43(2): 775-779.
  • 5Gini F, Montanari M, and Verrazzani L. Estimation of chirp radar signals in compound-gaussian clutter: A cyclostationary approach [J]. IEEE Trans. on SP, 2000, 48(4): 1029-1039.
  • 6Gini F and Reggiannini R. On the use of cramer-rao-like bounds in the presence of random nuisance parameters[J]. IEEE Trans. on Comm, 2000, 48(12): 2120-2126.
  • 7Kay S M. Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993, Chapter 15.
  • 8Bekkerman I and Tabrikian J. Target detection and localization using MIMO radars and sonars [J]. IEEE Trans. on SP, 2006, 54(10): 3873-3883.
  • 9Li J and Stoica P. MIMO radar with colocated antennas IEEE SP Mag. [J]. 2007, 25(1): 106-114.
  • 10Fishler E, Haimovich A, and Blum R, et al.. MIMO radar: An idea whose time has come[C]. Proc. IEEE Radar Conf., Philadelphia, United States, Apr. 2004: 71-78.

共引文献10

同被引文献109

  • 1Brennan L E and Reed I S. Theory of adaptive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, 9(2): 237-252.
  • 2Ward J. Space-time adaptive processing for airborne radar[R MIT Lincoln Lab., Lexington, MA, Technical Report, 1015 1994.
  • 3Klemm R. Principles of Space-Time Adaptive Processing[M]. 3rd Edition, London: The Institution of Engineering and Technology, 2006: 59-60.
  • 4Richardson P G. STAP covariance matrix structure and itsimpact on clutter plus jamming suppression solutions[J]. Electronics Letters, 2001, 37(2): 118-119.
  • 5Chen Chun-yang and Vaidyanathan P P. MIMO radar space time adaptive processing using prolate spheroidal wave functions[J]. IEEE Transactions on Signal Processing, 2008, 56(2): 623-635.
  • 6Wang G and Lu Y. Clutter rank of STAP in MIMO radar with waveform diversity[J]. IEEE Transactions on Signal Processing, 2010, 58(2): 938-943.
  • 7Wu Y, Tang J, and Peng Y N. Models and performance evaluation for multiple-input multiple-output space-time adaptive processing radar[J], lET Radar, Sonar & Navigation 2009, 3(6): 569-582.
  • 8Skolnik M I. Radar Handbook[M]. 2nd Edition, Boston: McGraw-Hill, 1990.
  • 9Brennan L E and Reed I S. Theory of adaptive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, 9(2): 237-252.
  • 10Ward J. Space-time adaptive processing for airborne radar[R] Technical Report 1015, MIT Lincoln Laboratory, 1994.

引证文献2

二级引证文献23

电子与信息学报
2011年 第8期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部