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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
  • 1.

    西安電子科技大學(xué)電子工程學(xué)院 ??西安 ??710071

  • 2.

    南京大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)系 ??南京 ??211102

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

  • 1.

    School of Electronic Engineering, Xidian University, Xi’an 710071, China

  • 2.

    Department of Computer Science, Nanjing University, Nanjing 211102, China

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。
    Abstract: A new robust Generalized Synchrosqueezing S-Transform(GSST) is proposed to solve the distortion problem of SynchroSqueezing S-Transform(SSST) in mixture noise. Firstly, the method improves the Viterbi algorithm for improving the Time-Frequency(TF) analysis performance of S-transform in alpha-gaussian mixture noise. After acquiring the phase locus information of the FM signal, the synchrosqueezing is used to improve the time-frequency aggregation. The simulation results show that the proposed method can accurately obtain the time-frequency information of FM signal under the background of Alpha-Gaussian mixture noise in low SNR, and has a better robustness and applicability than the SST.
    • HTML全文

  • 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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