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TD-SCDMA系统基于MUSIC算法的DOA估计研究 被引量:1

Research on DOA Estimation Based on MUSIC Algorithm in TD-SCDMA System
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摘要 针对传统DOA估计方法存在分辨率低,且现有多重信号分类算法不适用于TD-SCDMA系统等问题,研究了TD-SCDMA系统中基于MUSIC算法的DOA估计、基于TD-SCDMA系统均匀圆阵阵列模型,通过对其采用预处理技术,推导了TD-SCDMA系统中用于DOA估计的基本MUSIC算法和求根MUSIC算法,并通过仿真分析了影响DOA估计分辨率的因素。仿真分析表明,求根MUSIC算法具有更高的分辨率。 Aiming at the low resolution of traditional DOA estimation methods and the inability for existing Mul- tiple Signal Classification (MUSIC) algorithm to apply to TD-SCDMA system, this paper makes a study of DOA esti- mation method based on MUSIC algorithm in TD-SCDMA system. With the Uniform Circular Array (UCA) model of TD-SCDMA system preprocessed, the basic MUSIC algorithm and root-MUSIC algorithm of DOA estimation are de- rived for TD-SCDMA system. The factors affecting the resolution of DOA estimation are also analyzed. Simulation results and analysis shows that the root-MUSIC algorithm has a higher resolution than the basic MUSIC algorithm.
出处 《电子科技》 2014年第4期1-4,共4页 Electronic Science and Technology
基金 国家自然科学基金资助项目(61201135) 国家科技重大专项基金资助项目(2012ZX03001027-004)
关键词 TD—SCDMA 智能天线 DOA MUSIC TD-SCDMA smart antenna DOA MUSIC
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参考文献10

  • 1LIU R J,KOU D L.TD-SCDMA smart antenna signal intensity measurement system[J].Advanced Materials Research,2013 (760):954-958. 被引量:1
  • 2韩森.TD-SCDMA系统中智能天线的DOA估计算法研究[D].保定:华北电力大学,2010. 被引量:1
  • 3张晓愚..智能天线DOA估计MUSIC算法的改进研究[D].哈尔滨工业大学,2006:
  • 4张小飞,汪飞,徐大专编著..阵列信号处理的理论和应用[M].北京:国防工业出版社,2010:242.
  • 5LAVATE T B,KOKATE V K,SAPKAL A M.Performance analysis of MUSIC and ESPRIT DOA estimation algorithms for adaptive array smart antenna in mobile communication[C].Second International Conference on Computer and Network Technology(ICNNT),2010:308-311. 被引量:1
  • 6WANG Tao,YANG Lisheng,LEI Jianmei,et al.A modified MUSIC to estimate DOA of the coherent narrowband sources based on UCA[C].International Conference on Communication Technology(ICCT),2006:1-4. 被引量:1
  • 7JALALI M,MOGHADDASI M N,HABIBZADEH A.Comparing accuracy for ML,MUSIC,ROOT-MUSIC and spatially smoothed algorithms for 2 users[C].Microwave Symposium (MMS),Mediterrannean,2009:1-5. 被引量:1
  • 8LAZOVIC L,JOVANOVIC A.Comparative performance study of DOA algorithm applied on linear antenna array in smart antenna systems[C].2nd Mediterranean Conference on Embedded Computing (MECO),2013:247-250. 被引量:1
  • 9胡茂兵.智能天线中信号到达角(DOA)跟踪算法的研究[D].泉州:华侨大学,2012. 被引量:1
  • 10鞠凤伟.TD-SCDMA系统关键技术[J].科技资讯,2013,11(18):1-2. 被引量:1

同被引文献16

  • 1冯大政,郑春弟,周祎.一种利用信号特点的实值MUSIC算法[J].电波科学学报,2007,22(2):331-335. 被引量:8
  • 2Matthew J,Christopher D,Michael D. Demonstration of an electrically small antenna array for UHF direction-of-arrival estimation[J]. IEEE Transactions on Antennas and Propa- gation, 2013,61 (3):1371-1377. 被引量:1
  • 3Romberg J. Imaging via compressive sampling [J]. IEEE Signal Processing Magazine, 2008,25 (2): 14-20. 被引量:1
  • 4Paredes J L,Arew G R,Wang Z M. Ultra-Wideband compressed sensing: channel estimation [J]. IEEE Journal of Selected Topics in Signal Processing, 2007,1 (3):383-395. 被引量:1
  • 5Malioutov D,Getin M,Willsky S A. A sparse signal reconstruction perspective for source localization with sensor arrays[J]. IEEE Transaction on Signal Processing,2005,53 (8):3010-3022. 被引量:1
  • 6Marco R,Alexander M,Yonina C. Spatial compressive sensing for MIMO radar [J]. IEEE Transactions on Siganl Processing, 2014,62(2):419-430. 被引量:1
  • 7YU Yu,PETROPULU A P,POOR H V. MIMO radar using compressive sampling[J]. IEEE Journal of Selected Topics in Signal Processing, 2010,4 ( 1 ): 146-162. 被引量:1
  • 8Thakshila W,Pramod K. OMP based joint sparsity pattern recovery under communication constraints[J]. IEEE Transac- tions on Siganl Processing,2014,62(19):5059-5072. 被引量:1
  • 9孙海浪,陶海红,张娟.用于星载赋形天线的基于频域多相干目标测向算法[J].宇航学报,2010,31(3):830-837. 被引量:5
  • 10吴凌华,张小川.压缩感知的发展与应用[J].电讯技术,2011,51(1):120-124. 被引量:12

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