期刊文献+

阵列误差对多参数联合估计性能的影响 被引量:1

Performance Analysis for Joint Estimation of Multi-Parameters under Array Error
在线阅读 下载PDF
导出
摘要 建立了频率、二维到达角和极化联合估计的阵列误差信号模型,分析了阵列误差对用ESPEIT算法进行参数估计性能的影响。推导了在阵列误差模型下,频率、二维到达角和极化联合估计算法中各参数估计结果的均方误差。计算机模拟结果证实了分析结果的正确性。 The array error model of joint frequency, two-Dimensional Angles of Arrival (2-D AOA) and polarization estimation is constructed. The paper then analyzes the parameter estimation performance of the algorithm based on theoretical conditions under array error and deduces the Mean-Square Error (MSE) of frequency, 2-D AOA and the polarizations. From the computer simulation we can see that the theoretical results and the simulation are similar.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2006年第5期763-766,共4页 Journal of University of Electronic Science and Technology of China
基金 信息产业部"十五"预研基金资助项目 四川省科技攻关资助项目(04JJ006-025 2006X15-038)
关键词 阵列误差 二维到达角估计 极化估计 均方误差 array error two-dimensional angles of arrival estimation polarization estimation mean square error
作者简介 王建英(1972-),女,副教授,工学博士,主要从事阵列信号处理、智能天线技术、谱估计技术方面的研究.
  • 相关文献

参考文献2

二级参考文献8

  • 1(美)R.T.康普顿 龚耀寰 等.自适应天线--基本概念与特性[M].四川:四川科学技术出版社,1990..
  • 2Li J,IEEE Trans on Antennas and Propagation,1993年,41卷,3期,379页
  • 3Hua Y,IEEE Transon AP,1993年,41卷,3期,370页
  • 4Li J,IEEE Transon AP,1992年,40卷,5期,550页
  • 5Li J,IEEE Transon AP,1991年,39卷,9期,1376页
  • 6龚耀寰(译),自适应天线.基本概念与特性,1990年
  • 7Mendel,J. M.Tutorial on higher-order statistics (spectra) in signal processing and system theory: Theoretical and some ap-plications, Proc[].IEEE.1991
  • 8王建英,陈天麒.频率、二维到达角和极化联合估计[J].电子学报,1999,27(11):74-76. 被引量:29

共引文献20

同被引文献14

  • 1Fishier E, Haimovich A, Blum R S, et al. MIMO radar: an idea whose time has come[C].//Proc IEEE Radar Conf. [S. 1. ]IEEE, 2004:71-78.
  • 2Li J, Stoica P. MIMO radar-diversity means superi- ority[C].//Proc 14th Adaptive Sensor Array Process (ASAPr' 06). Mass, USA: Lincoln Lab, 2006:201- 207.
  • 3Fishier E, Haimovich A, Blum R S, et al. Spatial diversity in radars models and detection performance [J]. IEEE Trans Signal Process, 2006,54(3):823- 838.
  • 4Fuhrmann D R, Antonio G S. Transmit beamform- ing for MIMO radar systems using partial signal cor- relation[C].//Proc 38th Asilomar Conf on Signals, Systems and Computers. Pacific Grove, CA: [s. n. ], 2004,1:295-299.
  • 5Xu L, Li J, Stoica P. Adaptive techniques for MI- MO radar[C]//Proc 4th Workshop on Sensor Array and Multichannel Signal Process. Waltham, MA: [s.n. ], 2006:258-262.
  • 6Robey F C, Courts S, Weikle D D, et al. MIMO radar theory and experimental results [C]//Proc 38th Asilomar Conf Signals, Systems and Comput- ers. MA, USA: MIT, Lexington, 2004,1:300-304.
  • 7Li J, Stoica P, Xu L, et al. On parameter identifia- bility of MIMO radar[J]. IEEE Signal Process Lett, 2007,14(12) : 968-971.
  • 8Bekkerman I, Tabrikian J. Target detection and lo- calization using MIMO radars and sonars[J]. IEEE Trans Signal Process, 2006,5 (10) : 3873-3883.
  • 9Zhang Xiaofei, Xu Dazhuan. Angle estimation in MIMO radar using reduced-dimension capon [J]. IET Electronics Letters, 2010,46 (12) ~ 860-861.
  • 10Zhang Xiaofei, Xu Dazhuan. Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC [J]. IEEE Communications Letters, 2010, 14 (12) : 1161- 1163.

引证文献1

二级引证文献5

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