期刊文献+

一种改进的RVSSLMS波束赋形算法 被引量:1

An Improved RVSSLMS Beam-forming Algorithm
下载PDF
导出
摘要 作为智能天线的关键技术之一,波束赋形算法引起了众多学者的广泛关注。为克服目前RVSSLMS算法比较简便,易于实现,但收敛速度较慢;RLS算法收敛速度较快,但其运算量大的问题,根据移动通信系统中波束赋形算法必须具有较快的响应速度和收敛速度的要求,对RVSSLMS算法进行了改进;结合RLS算法和RVSSLMS算法的优点,在开始迭代前的25次用RLS算法求加权系数W(k),再使RVSSLMS算法用RLS算法求出的加权系数W(k)作为初始值进行迭代求解,使其在保持原有运算量小的特点的同时,具有更快的收敛速度。用Matlab仿真对改进方法的有效性进行了验证,仿真结果表明:RLS-RVSSLMS算法既具有RLS算法收敛速度快的特点,同时保持了RVSSLMS算法计算量小的特点。 As the key technique of the smart antenna, the beam - forming algorithm has enjoyed widespread populaxity. In order to overcome the problem that the convergence speed of the RVSSLMS algorithm is slower though the realization of it is simpler and easier, meanwhile, the RLS algorithm's convergence speed is faster while its computation load is bigger, according to the condition that the beam - forming algorithm must have fast response speed and convergence speed in mobile communication' system, the RVSSLMS algorithm is improved by combining the advantages of RVSSLMS algorithm and RLS algorithm together: the RVSSLMS algorithm's initial iteration weight is from the RLS algorithm's weight whose length of data block is 25. The improved one not only keeps less computation load, but also attains faster convergence speed. The efficiency of the improved method is verified by Matlab simulation, the result indicates that the convergence speed of this RLS - RVSSLMS algorithm is as fast as that of RLS algorithm and the operation load of it is as small as that of the RVSSLMS algorithm.
出处 《空军工程大学学报(自然科学版)》 CSCD 北大核心 2008年第3期42-45,共4页 Journal of Air Force Engineering University(Natural Science Edition)
基金 陕西省自然科学基金资助项目(2005F23) 空军工程大学导弹学院研究生学位论文创新基金(DY06202)
关键词 波束赋形 RVSSLMS(稳健变步长LMS)算法 RLS—RVSSLMS算法 beam - forming RVSSLMS algorithm RLS - RVSSLMS algorithm
  • 相关文献

参考文献9

  • 1龚耀寰.白适应滤波(第二版)[M].北京:电子工业出版社,2003.
  • 2Kwong R H, Johnston E W. A Variable Step Size LMS Algorithm [ J ]. IEEE Trans Signal Processing, 1992,40 (7) :115 - 118.
  • 3Park D J,Jun B E. Self-perturbing RLS Algorithm with Fast tracking Capability[ J]. Electron Lett, 1992,3(22) :558- 559.
  • 4安治永,李益文,李应红,宋慧敏.非对称等离子体激励器的电场仿真[J].空军工程大学学报(自然科学版),2007,8(2):49-51. 被引量:18
  • 5MOHAMMAD Tariqul Islam,ZAINOL Abidin Abdul Rashid.MI-NLMS adaptive beamforming algorithm for smart antenna system applications[J].Journal of Zhejiang University-Science A(Applied Physics & Engineering),2006,7(10):1709-1716. 被引量:7
  • 6陈东锋,雷英杰,田野.基于直觉模糊等价关系的聚类算法[J].空军工程大学学报(自然科学版),2007,8(1):63-65. 被引量:12
  • 7Danilo P, Mandic. A Generalized Noemalized Gradient Descent Algorithm [ J ]. IEEE Signal Processing Letters, 2004,11 (2) : 115 -118.
  • 8Wee Peng Ang, Farhang Boroujeny B. A New Class of Gradient Adaptive Step - size LMS Algorithms [ J ]. IEEE Trans Signal Processing, 2004,49 (4) : 805 - 809.
  • 9Du K L. Pattern Analysis of Uniform Circular Array[ J]. IEEE Antennas and Propagation,2004,52: 1125 -1129.

二级参考文献13

  • 1雷英杰,王宝树.拓展模糊集之间的若干等价变换[J].系统工程与电子技术,2004,26(10):1414-1417. 被引量:13
  • 2雷英杰,王宝树,苗启广.直觉模糊关系及其合成运算[J].系统工程理论与实践,2005,25(2):113-118. 被引量:69
  • 3何新贵.模糊知识处理的理论与技术(第2版)[M].北京:国防工业出版社,1999.
  • 4Atanassov K.Intuitionistic fuzzy sets[J].Fuzzy Sets and Systems,1986,20 (1):87-96.
  • 5Atanassov K.More on Intuitionistic fuzzy sets[J].Fuzzy Sets and Systems,1989,33 (1):37-46.
  • 6Atanassov K.New Operations Defined Over the Intuitionistic Fuzzy Sets[J].Fuzzy Sets and Systems,1994,61 (2):137-142.
  • 7De S K,Biswas R,Roy A R.An Application of Intuitionistic Fuzzy Sets in Medical Diagnosis[J].Fuzzy Sets and Systems,2001,117(2):209-213.
  • 8Wen-Liang Hung,Jinn-Shing Lee,Cheng-Der Fuh.Fuzzy Clustering Based on Intuitionistic Fuzzy Relations[J].International Journal of Uncertainty Fuzziness & Knowledge-Based Systems,2004,12(4):513-529.
  • 9Dengfeng L I,Chuntian Cheng.New Similarity Measures of Intuitionistic Fuzzy Sets and Application to Pattern Recognitions[J].Pattern Recognition Letters,2002,23 (13):221-225.
  • 10Pasi G,Yager R.Atanassov K.Intuitionistic Fuzzy Graph Interpretations of Multi-Person Multi-Criteria Decision Making:Generalized net Approach[A].Intelligent Systems,2004.Proceedings.2004 2nd International IEEE Conference[C].2004:434-439.

共引文献34

引证文献1

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