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基于软判决合作检测的频谱感知算法性能对比研究

The performance contrast research on spectrum sensing algorithm based on soft-decision cooperative detection
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摘要 针对选择性能良好的频谱感知算法的需求,研究了三种基于软判决合作检测的频谱感知算法,即等增益合并合作检测法、选择合作检测法和最大比合并合作检测法的性能。研究结果表明,在各感知节点信噪比差异较小时,最大比合并和等增益合并检测法性能基本相同,均好于选择合作检测法;在各感知节点信噪比差异较大时,最大比合并方式通过对每个感知节点传来的检测统计量进行加权处理,最大限度地优化了检测的结果,获得了最佳的频谱感知性能。 For the needs of choosing optimal spectrum sensing algorithm, the performance of spectrum sensing algorithm based on soft decision cooperative detection is researched,such as equal gain combining algo rithm, selective cooperative sensing algorithm and maximum ratio combination algorithm. The result shows that: when the difference between the signal to-noise ratio(SNR) of each sensing nodes is small,the performance of maximum ratio combination algorithm and equal gain combining algorithm are basically the same, better than selective cooperative sensing algorithm;when the difference between the SNR of each sensing nodes is big, based on weighting the detection statistics data of each sensing nodes, maximum ratio combination algorithm gets the maximum optimize of the detection results and the optimal performance.
出处 《航天电子对抗》 2017年第6期45-48,共4页 Aerospace Electronic Warfare
关键词 频谱感知 软判决合作检测 等增益合并合作检测法 选择合作检测法 最大比合并合作检测法 spectrum sensing soft-decision cooperative detection equal gain combining algorithm selective cooperative sensing algorithm maximum ratio combination algorithm.
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参考文献3

  • 1周贤伟主编,王建萍,王春江编著..认知无线电[M].北京:国防工业出版社,2008:292.
  • 2张宗志..认知无线电频谱检测算法的研究[D].哈尔滨工程大学,2012:
  • 3林威..基于认知无线电技术的频谱资源利用研究[D].哈尔滨工业大学,2010:

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