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子空间跟踪方法在GPS空时抗干扰中的应用 被引量：1

Application of Subspace Tracking Technique in Interference Suppression of GPS Space-time Receiver
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摘要 提出将子空间跟踪方法用于GPS接收机空时抗干扰中。根据接收信号中干扰信号远强于有用信号和噪声的特点,将子空间投影方法与空时信号处理相结合,对自适应PASTd子空间跟踪方法进行了改进,使其在强干扰下也能快速、准确的估计出空时二维干扰子空间,进一步求出空时抗干扰最佳权。与原自适应PASTd方法相比,该改进方法在增加很少计算量的情况下,干扰子空间估计的收敛性和准确性有大幅提高,抗干扰性能良好、稳定。该方法能够实时跟踪干扰子空间的变化,结构简单,计算量小,适合多变干扰环境,具有较高的可行性和实用性。仿真试验验证了该方法对窄带和宽带干扰均有效。 A new approach is proposed for interference suppression in GPS space-time receiver.It combines subspace tracking with space-time processing based on the characters of GPS signal,noise and jammers.Space-time interference subspace is constructed quickly and exactly in conditions of strong interferences using the improved adaptive PASTd subspace tracking technique.Then the optimal filter is educed.Comparing with original adaptive PASTd technique,the method improved can estimate interference subspace much more ...
作者 郭艺 张尔扬 沈荣骏
机构地区 国防科技大学电子科学与工程学院 解放军总装备部科学技术委员会
出处 《宇航学报》 EI CAS CSCD 北大核心 2007年第5期1180-1184,共5页 Journal of Astronautics
关键词 GPS 空时处理 子空间跟踪 抗干扰 GPS Space-time processing Subspace tracking Interference suppression
分类号 P228.4 [天文地球—大地测量学与测量工程]
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参考文献7

  • 1[1]Kamplam E D.Understanding GPS principles and applications[J].Artech House,Inc.,1996
  • 2[3]Fante R L and Vaccaro J J.Wideband cancellation of interference in a GPS receive array[J].IEEE Transactions on Aerospace and Electronic Systems,April 2000:549-564
  • 3[4]Yang B.An extension of the PASTd algorithm to both rank and subspace tracking[J].Signal Processing Letters,IEEE,Sept.1995:179-182
  • 4[5]IDC-GPS-200,NAVSTAR GPS Space Segment/Navigation User Interfaces (Public Release Version)[S].ARINC Research Corporation,July 3,1991
  • 5[6]Yang B.Projection approximation subspace tracking[J].IEEE Transactions on Signal Processing,Jan.1995:95-107
  • 6[7]Abed-Meraim K,Chkeif A and Hua Y.Fast orthonormal PAST algorithm[J].Signal Processing Letters,IEEE,March 2000:60-62
  • 7[8]Wax M and Kailath T.Detection of signals by information theoretic criteria[J].IEEE Trans.Acoust.,Speech,Signal Processing,Feb.1985,ASSP-33:387-392

同被引文献10

  • 1TUFTS D W, KUMARESAN R, KIRSTENS I. Data adap- tive signal estimation by singual value decomposition of a data matrix [ J ]. Proceedings of the IEEE, 1982, 70 (6) : 684-685.
  • 2GOLDSTEIN J S, REED I S. Reduced rank adaptive filte- ring[J~. IEEE Trans on Signal Processing, 1997, 45(2) : 492496.
  • 3GOLDSTEIN J S, REED I S. SCHARF L L. A multistage representation of the Wiener filter based on orthogonal pro- jections[ J]. IEEE Trans on Signal Processing, 1998,44 (7) :2943.
  • 4HAIMOVICH A. Eigencanceler: adaptive radar by eigenan- alysis methods[ J]. IEEE Trans on Aerospace and Electron- ic Systems, 1996,32(2) :532-542.
  • 5BADEAU R, RICHARD G, DAVID B,et al. Approximated power iterationsfor fast subspace tracking [ J ]. Proc of 7th Int Syrup on Signal Proc and its Applications, 2003,2:583- 586.
  • 6YANG B. Projection approximation subspace tracking [ J ~. IEEE Transactions on Signal Processing, 1995,43 (1) : 95- 107.
  • 7ABED-MERAIM K, CHKEIF A, HUA Y. Fast orthonormal PAST algorithm [ J ]. IEEE Signal Processing Letters, 2000,7 ( 3 ) : 60-62.
  • 8BADEAU R, DAVID B, RICHARD G. Fast approximated power iteration subspace tracking [ J ]. IEEE Transactions on Signal Processing, 2005,53 (8) : 2931-2941.
  • 9BELKACEMI H, MARCOS S. Fast iterative subspace al- gorithms for airborne STAP radar [ J ]. Eurasip Journal on Applied Signal Processing, 2006: 1-8.
  • 10HUA Y, XIANG Y, CHEN T, ABED-MERAIM K, MIAO Y. A new look at the power method for fast subspace track- ing [Jj. Digital Signal Processing, 1999,9(4): 297-314.

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宇航学报
2007年 第5期

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