期刊文献+

基于改进PCA的DOA估计方法

The DOA(Direction of Arrival) Estimation Based on Improved PCA(Principal Component Analysis)
下载PDF
导出
摘要 提出了一种改进的主分量分析迭代算法,进行了仿真实验,得出的结论为本算法在估计弱信号性能时要比多重信号分类算法方便。 This paper advances an improved iterative algorithm of PCA, makes the emulator test, draws the conclusion that the algorithm is more convenient than multiple signal classification (MUSIC) when estimating the performances of weak signals.
出处 《科技情报开发与经济》 2007年第11期212-213,共2页 Sci-Tech Information Development & Economy
  • 相关文献

参考文献5

  • 1贺宁蓉,吕善伟,常戎.子空间跟踪PASTd算法的改进及其应用[J].现代雷达,2005,27(11):75-77. 被引量:4
  • 2Schmidt R O.Multiple emitter location and signal parameter estimation[J].IEEE Trans.on Antennas Propagation,1986,34(3):276-280.
  • 3陈洪光,沈振康,郭天天.一种基于PCA分析的DoA估计算法[J].系统工程与电子技术,2005,27(8):1376-1378. 被引量:4
  • 4Yongfeng Miao,Yingbo Hua.Fast subspace tracking and neural network learning by a novel information criterion[J].IEEE Trans.on Signal Processing,1998,46(7):1967-1979.
  • 5Bin Yang.Projection approximation subspace tracking[J].IEEE Trans.on Signal Processing,1995,43(1):95-107.

二级参考文献12

  • 1Chen Yupeng, Hou Chaohuan. High resolution adaptive bearing estimation using a complex-weighted neural network [ C]. ICASSP,1992. 317- 320.
  • 2Karhunen Juha, Joutsensalo Jyrki. Representation and separation of signals using nonlinear PCA type learning [ J ]. Neural Networks,1994, 7: 113- 127.
  • 3IMdidi L, Radouane L. A neural network approach for DoA estimation and tracklng[A]. Proc. of the 10th IEEE Workshop on Statistical Signal and Array Processing [ C ]. Pocono Manor, PA.USA, 2000. 434 - 438.
  • 4Schmidt R O. Multiple emitter location and signal parameter estimation[J]. IEEE Trans. on Antennas Propagation, 1986,34(3) : 276 - 286.
  • 5Richard R, Thomas K. ESPRIT-estimation of signal parameters via rotational invariance techniques [ J ]. IEEE Trans. on Acoustics,Speech and Signal Processing, 1989, 37(7) : 984 - 995.
  • 6Kumaresan R. Estimating the angles of arrival of multiple source plane waves[J]. IEEE Trans. on Aerosp. Elect. Syst, 1983, 19:134 - 149.
  • 7Stewart G W. An updating algorithm for subspace tracking [ J ].IEEE Trans. on Signal Processing, 1992, 40: 1535- 1541.
  • 8Eriksson A. On-line subspace algorithm for tracking moving sources[J].IEEE Trans. on Signal Processing, 1994, 42(9) : 2319 - 2330.
  • 9Erkki Oja. Principal components, minor components, and linear neural networks[ J]. Neural Networks, 1992, 5 : 927 - 935.
  • 10Yang B. Projection approximation subspace tracking. IEEE Trans on Signal Processing, 1995,43 ( 1 ) :95 - 107.

共引文献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