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基于瑞利多徑衰落信道的信號(hào)包絡(luò)頻譜感知

周義明 李英順 田小平

周義明, 李英順, 田小平. 基于瑞利多徑衰落信道的信號(hào)包絡(luò)頻譜感知[J]. 電子與信息學(xué)報(bào), 2020, 42(5): 1231-1236. doi: 10.11999/JEIT190065
引用本文: 周義明, 李英順, 田小平. 基于瑞利多徑衰落信道的信號(hào)包絡(luò)頻譜感知[J]. 電子與信息學(xué)報(bào), 2020, 42(5): 1231-1236. doi: 10.11999/JEIT190065
Yiming ZHOU, Yingshun LI, Xiaoping TIAN. Spectrum Sensing Based on Signal Envelope of Rayleigh Multi-path Fading Channels[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1231-1236. doi: 10.11999/JEIT190065
Citation: Yiming ZHOU, Yingshun LI, Xiaoping TIAN. Spectrum Sensing Based on Signal Envelope of Rayleigh Multi-path Fading Channels[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1231-1236. doi: 10.11999/JEIT190065

基于瑞利多徑衰落信道的信號(hào)包絡(luò)頻譜感知

doi: 10.11999/JEIT190065
詳細(xì)信息
    作者簡(jiǎn)介:

    周義明:男,1976年生,講師,研究方向?yàn)闊o線通信、信號(hào)處理、FPGA

    李英順:女,1971年生,教授,研究方向?yàn)樾盘?hào)檢測(cè)與處理、故障識(shí)別

    田小平:男,1973年生,副教授,研究方向?yàn)闊o線通信、信號(hào)處理、室內(nèi)定位

    通訊作者:

    周義明 zhouyiming@bipt.edu.cn

  • 中圖分類號(hào): TN911

Spectrum Sensing Based on Signal Envelope of Rayleigh Multi-path Fading Channels

  • 摘要:

    為提高信號(hào)采樣值之間的相關(guān)性和降低噪聲對(duì)感知性能的影響,該文提出基于信號(hào)包絡(luò)自相關(guān)矩陣的頻譜感知算法。首先對(duì)采樣信號(hào)等間隔時(shí)長(zhǎng)截取,以相鄰間隔的采樣值計(jì)算信號(hào)自相關(guān)性,并構(gòu)造出近似自相關(guān)矩陣。其次依據(jù)矩陣次對(duì)角線元素性質(zhì)構(gòu)造了統(tǒng)計(jì)量。分別計(jì)算了該統(tǒng)計(jì)量的檢測(cè)概率分布函數(shù)與虛警概率分布函數(shù),分析了頻譜感知算法的檢測(cè)性能,算法優(yōu)化了信號(hào)相關(guān)性的計(jì)算,降低了噪聲對(duì)感知性能的影響。最后通過仿真驗(yàn)證了不同參數(shù)對(duì)檢測(cè)概率和虛警概率的影響,并提出了進(jìn)一步提高檢測(cè)性能的措施。

  • 圖  1  不同包絡(luò)噪聲功率比條件下檢測(cè)概率與虛警概率的關(guān)系

    圖  2  不同信號(hào)相關(guān)系數(shù)對(duì)檢測(cè)概率的影響

    圖  3  包絡(luò)噪聲功率比與檢測(cè)概率在不同相關(guān)系數(shù)下的對(duì)應(yīng)關(guān)系

    圖  4  包絡(luò)檢測(cè)、能量檢測(cè)和統(tǒng)計(jì)協(xié)方差檢測(cè)的檢測(cè)性能比較

    圖  5  實(shí)際感知與理論感知在不同信噪比條件下的效果比較

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出版歷程
  • 收稿日期:  2019-01-24
  • 修回日期:  2019-09-05
  • 網(wǎng)絡(luò)出版日期:  2020-01-20
  • 刊出日期:  2020-06-04

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