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基于位置集回验的并联分片频谱压缩感知算法 被引量：3

Parallel Segmented Compressed Sensing Algorithm Based on Indices Back-Tracing
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摘要 提出了基于压缩感知的认知无线电频谱检测方法,该方法采用并联分片压缩采样法,同时引入了基于位置集回验的重构算法。分析了不同重构算法的性能差异,阐述了并联分片压缩采样的实现方法。通过仿真分析了不同分片数条件下,并联分支数对CoSaMP和OMP重构算法重构概率的影响,并说明了频带划分的估计方法。 A cognitive radio spectrum detecting method based on compressed sensing is proposed. The method adopts the parallel segmented compressed sampling method and the recon struction algorithm based on indices back-tracing. After analyzing the performance difference of different reconstruction algorithms, parallel segmented compressed sampling method is described. The influence between segment number and reconstruction probability of CoSaMP and OMP is analyzed by simulation. Moreover, estimation method of frequency division is also described.
作者 王超 王铭江 李玉清 史姝丽
机构地区 北京科技大学计算机与通信工程学院 西部矿业股份有限公司
出处 《数据采集与处理》 CSCD 北大核心 2011年第4期452-456,共5页 Journal of Data Acquisition and Processing
基金 国家自然科学基金(60902042)资助项目 国家博士点基金(20090006110014)资助项目 国家高技术研究发展计划("八六三"计划)(2009AA062705)资助项目
关键词 压缩感知 位置集回验 并联分片 compressive sensing indices back-tracing parallel segmented
分类号 TN911 [电子电信—通信与信息系统]
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参考文献16

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同被引文献58

  • 1粟梅,杨文.一种谐波电流的检测方法[J].控制工程,2005,12(2):190-192. 被引量：6
  • 2Donoho D L. Compressed sensing[J]. Information Theory, IEEE Transactions on, 2006, 52(4): 1289- 1306.
  • 3Cand6s E J, Tao T. Decoding by linear programming [J]. Information Theory, IEEE Transactions on, 2005, 51(12) : 4203-4215.
  • 4Baraniuk R G. Compressive sensing [J]. Signal Pro- cessing Magazine, IEEE, 2007, 24(4): 118-121.
  • 5Candes E J, Wakin M B. An introduction to com- pressive sampling[J]. Signal Processing Magazine, IEEE, 2008, 25(2): 21-30.
  • 6Elad M. Optimized projections for compressed sens- ing[J]. Signal Processing, IEEE Transactions on, 2007, 55(12): 5695-5702.
  • 7Zhu Daiyin, Zhang Wei, Zhu Zhaoda. Phase autofo- cusing algorithm for compressed inverse synthetic aperture radar imaging[J]. Transactions of Nanjing Aeronautics and Astronautics, 2012, 29(3): 245- 253.
  • 8Cand~s E J. The restricted isometry property and its implications for compressed sensing [J]. Comptes Rendus Mathe Matique, 2008, 346(9): 589-592.
  • 9Baraniuk R, Davenport M, DeVore R, et al. A sim- ple proof of the restricted isometry property for ran- dom matrices [J]. Constructive Approximation, 2008, 28(3): 253-263.
  • 10Stojnic M, Xu W, Hassibi B. Compressed sensing- probabilistic analysis of a null-space characterization [C] // Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on. [s. 1.]:IEEE, 2008: 3377-3380.

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数据采集与处理
2011年 第4期

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