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应用于智能天线的一种新的LMS改进算法

An Improved LMS Algorithm Application in Smart Antenna
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摘要 通过对智能天线LMS算法的分析和研究,发现了传统的LMS算法存在收敛速度和稳态误差之间无法兼顾的问题,即固定步长因子无法解决收敛速度和稳态误差之间的矛盾。提出了一种改进的LMS算法,并通过计算机仿真对该算法进行了验证。改进的LMS算法的应用有效地解决了LMS在收敛方面存在的问题。 By analyzing and researching the LMS algorithm of smart antenna, it is found that the traditional LMS algorithm can not solve the problem of the convergence rate and the steady-state error at the same time, that is. the permanent step factor can not solve the contradiction between the convergence rate and the steady-state error. So an improved LMS algorithm was proposed and verified by computer simulation. The application of the improved LMS algorithm efficiently solves the problem in a convergent process.
出处 《弹箭与制导学报》 CSCD 北大核心 2008年第3期302-304,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 LMS算法 步长因子 收敛速度 稳态误差 LMS algorithm step factor convergence rate steady-state error
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参考文献5

  • 1Robert A Monzingo and Thoms W Miller. Introduction to adaptive arrays [M].John Wiley and Sons, Inc. 1980.
  • 2E R Ferrara. Fast implementation of LMS adaptive filters[J]. IEEE Trans. On ASSP, 1980,28 (4) : 474-475.
  • 3D Mansour and A H Gray. Unconstrained frequency-domain adaptive filter[J].IEEE Trans. on ASSP, 1982,30(5) :726-734.
  • 4Z S Liu and J Li. A QR-Based least mean squares algorithm for adaptive parameter estimation [J].IEEE Trans. on Information Theory, 1984,30 (2) : 275-283.
  • 5S S Ahn & B H Laheld. Convergence of the delayed normalized LMS algorithm with decreasing step size[J].IEEE Trans. on Signal Processing, 1996,44(12) ,3008- 3016,

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