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混合噪聲下基于Viterbi同步壓縮S變換的FM信號(hào)分析

朱明哲 肖瑞 蘇小凡 王廣輝

朱明哲, 肖瑞, 蘇小凡, 王廣輝. 混合噪聲下基于Viterbi同步壓縮S變換的FM信號(hào)分析[J]. 電子與信息學(xué)報(bào), 2018, 40(12): 2913-2918. doi: 10.11999/JEIT171091
引用本文: 朱明哲, 肖瑞, 蘇小凡, 王廣輝. 混合噪聲下基于Viterbi同步壓縮S變換的FM信號(hào)分析[J]. 電子與信息學(xué)報(bào), 2018, 40(12): 2913-2918. doi: 10.11999/JEIT171091
Mingzhe ZHU, Rui XIAO, Xiaofan SU, Guanghui WANG. Analysis of FM Signals Based on Viterbi Synchrosqueezing S-transform in Mixture Noise[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2913-2918. doi: 10.11999/JEIT171091
Citation: Mingzhe ZHU, Rui XIAO, Xiaofan SU, Guanghui WANG. Analysis of FM Signals Based on Viterbi Synchrosqueezing S-transform in Mixture Noise[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2913-2918. doi: 10.11999/JEIT171091

混合噪聲下基于Viterbi同步壓縮S變換的FM信號(hào)分析

doi: 10.11999/JEIT171091
基金項(xiàng)目: 國(guó)家自然科學(xué)基金(61701374),陜西省自然科學(xué)基金(JB160210),中央高?;究蒲袠I(yè)務(wù)費(fèi)專(zhuān)項(xiàng)資金,西安電子科技大學(xué)研究生創(chuàng)新基金
詳細(xì)信息
    作者簡(jiǎn)介:

    朱明哲:男,1982年生,副教授,研究方向?yàn)榉瞧椒€(wěn)信號(hào)分析、信號(hào)檢測(cè)與參數(shù)估計(jì)

    肖瑞:男,1989年生,碩士生,研究方向?yàn)榉瞧椒€(wěn)信號(hào)分析、信號(hào)檢測(cè)與參數(shù)估計(jì)

    蘇小凡:女,1994年生,碩士生,研究方向?yàn)榉瞧椒€(wěn)信號(hào)分析、信號(hào)檢測(cè)與參數(shù)估計(jì)

    王廣輝:男,1995年生,碩士生,研究方向?yàn)闄C(jī)器學(xué)習(xí)

    通訊作者:

    肖瑞  xiaorui@stu.xidian.edu.cn

  • 中圖分類(lèi)號(hào): TN911.6

Analysis of FM Signals Based on Viterbi Synchrosqueezing S-transform in Mixture Noise

Funds: The National Natural Science Foundation of China(61701374), The Natural Science Foundation of Shannxi Province(JB160210), The Fundamental Research Foundation of the Central Universities, The Innovation Foundation of Xidian University
  • 摘要: 該文針對(duì)同步壓縮S變換(SSST)在混合噪聲下的失真問(wèn)題,提出一種新型穩(wěn)健性廣義同步壓縮S變換(GSST)。該方法首先改進(jìn)Viterbi算法以提高S變換在混合噪聲下的時(shí)頻分析性能,在獲取調(diào)頻(FM)信號(hào)的相位軌跡信息后,利用同步壓縮技術(shù)提高時(shí)頻聚集性。仿真實(shí)驗(yàn)表明,在α-高斯混合噪聲環(huán)境下,該方法能夠在低信噪比下精確獲取FM信號(hào)的時(shí)頻信息,有效改善了傳統(tǒng)同步壓縮算法的穩(wěn)健性和適用性。
  • 圖  1  直接法、原Viterbi算法與改進(jìn)Viterbi算法對(duì)比圖

    圖  2  –5 dB情況下信號(hào)的變趨勢(shì)S變換與同步壓縮結(jié)果

    圖  3  $\alpha $ -高斯混合噪聲下GSST方法(SNR=–5 dB)

    圖  4  各瞬時(shí)頻率估計(jì)方法的均方誤差比較

    圖  5  GSST, CWT, HHT瞬時(shí)頻率估計(jì)性能對(duì)比

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出版歷程
  • 收稿日期:  2017-11-20
  • 修回日期:  2018-09-12
  • 網(wǎng)絡(luò)出版日期:  2018-09-18
  • 刊出日期:  2018-12-01

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