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计算机工程 ›› 2011, Vol. 37 ›› Issue (20): 227-229. doi: 10.3969/j.issn.1000-3428.2011.20.078

• 人工智能及识别技术 • 上一篇    下一篇

一种基于循环谱特征识别的频谱感知算法

杨日达,陈彩莲,关新平   

  1. (上海交通大学电子信息与电气工程学院,上海 200240)
  • 收稿日期:2011-04-15 出版日期:2011-10-20 发布日期:2011-10-20
  • 作者简介:杨日达(1986-),男,硕士研究生,主研方向:认知无线电,谱特征识别;陈彩莲,副教授、博士;关新平,教授、博士
  • 基金资助:
    国家“973”计划基金资助项目(2010CB731800);国家自然科学基金资助项目(60934003, 60804010, 60974123);上海市浦江 人才计划基金资助项目(09PJ1406100);上海市晨光计划基金资助项目(09CG06)

Spectrum Sensing Algorithm Based on Cyclic Spectrum Feature Recognition

YANG Ri-da, CHEN Cai-lian, GUAN Xin-ping   

  1. (School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2011-04-15 Online:2011-10-20 Published:2011-10-20

摘要: 针对传统循环谱计算复杂度高的问题,提出一种基于循环谱特征识别的频谱感知算法,该算法采用自相关矩阵替代频域平滑方法计算信号的谱特征,在降低算法复杂度的同时,能够准确区分噪声与有用信号,利用软件无线电构建测试平台,用以验证算法的有效性。实验结果表明,该算法能够准确检测出频谱空穴,准确度大于90%,并能降低时间复杂度,可以满足认知无线电中对频谱感知的性能要求。

关键词: 认知无线电, 频谱感知, 循环谱特征, 软件无线电, 测试平台

Abstract: Aiming at the high computiaion complex for traditional cyclic spectrum, this paper presents a cyclic spectrum recognition based spectrum sensing algorithm, which uses correlation matrix instead of frequency domain smoothing to compute spectrum feature. This algorithm greately reduces the complexity while distinguish between noise and useful signal accurately. A test platform is constructed based on software defined radios to demonstrate the effectiveness of the method. Experimental results show the spectrum holes of different primary users can be detected with high accuracy greater than 90% and low complexity. The performance can satisfy the requirement of spectrum sensing in cognitive radio.

Key words: Cognitive Radio(CR), spectrum sensing, cyclic spectrum feature, software radio, test platform

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