计算机工程 ›› 2012, Vol. 38 ›› Issue (13): 83-85,92.doi: 10.3969/j.issn.1000-3428.2012.13.023

• 网络与通信 • 上一篇    下一篇

基于MUSIC算法的宽带频谱感知

赵知劲1,2,张 鹏1,尚俊娜1,王海泉1   

  1. (1. 杭州电子科技大学通信工程学院,杭州 2. 中国电子科技集团公司第三十六研究所,浙江 嘉兴 314001)
  • 收稿日期:2011-08-23 出版日期:2012-07-05 发布日期:2012-07-05
  • 作者简介:赵知劲(1959-),女,教授,主研方向:认知无线电,自适应信号处理;张 鹏,硕士研究生;尚俊娜,副教授、博士; 王海泉,研究员、博士
  • 基金项目:
    电科院预研基金项目(41101040102)

Wideband Spectrum Sensing Based on MUSIC Algorithm

ZHAO Zhi-jin   1,2, ZHANG Peng   1, SHANG Jun-na   1, WANG Hai-quan  1   

  1. (1. School of Telecommunication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China; 2. The 36th Research Institute of China Electronics Technology Group Corporation, Jiaxing 314001, China)
  • Received:2011-08-23 Online:2012-07-05 Published:2012-07-05

摘要: 利用MUSIC算法进行宽带频谱感知时,主用户信号个数估计是关键问题。为此,提出一种动态门限搜索匹配的信号个数估计算法。利用信号子空间和噪声子空间的正交性动态调整门限,搜索与预设维度最匹配的信号个数作为最终的估计值。仿真结果表明,在低信噪比的情况下,该算法能准确估计信号个数,提高宽带频谱感知性能。

关键词: 宽带频谱感知, 多重集采样, MUSIC算法, AIC/MDL准则, 动态门限搜索匹配算法, 认知无线电

Abstract: The estimation of the number of primary user’s signal is a key issue for wideband spectrum sensing method based on MUSIC algorithm. To this end, this paper proposes an algorithm to estimate the number of the signals utilizing search matching algorithm with dynamic threshold. The orthogonal properties of signal subspace and noise subspace is used in this algorithm, which adjusts threshold constantly and searches the signal number that is the best matches with dimensions as the final estimate value. Simulation results show that the proposed algorithm has high accuracy at low Signal Noise Ratio(SNR) which greatly improves the performance of the wideband spectrum sensing.

Key words: wideband spectrum sensing, multicoset sampling, MUSIC algorithm, AIC/MDL criteria, search matching algorithm with dynamic threshold, cognitive radio

中图分类号: