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一種低副瓣無混疊的線性調(diào)頻信號時頻分析方法

劉會杰 高新海 郭汝江

劉會杰, 高新海, 郭汝江. 一種低副瓣無混疊的線性調(diào)頻信號時頻分析方法[J]. 電子與信息學(xué)報, 2019, 41(11): 2614-2622. doi: 10.11999/JEIT181190
引用本文: 劉會杰, 高新海, 郭汝江. 一種低副瓣無混疊的線性調(diào)頻信號時頻分析方法[J]. 電子與信息學(xué)報, 2019, 41(11): 2614-2622. doi: 10.11999/JEIT181190
Huijie LIU, Xinhai GAO, Rujiang GUO. A Time-frequency Analysis Method for Linear Frequency Modulation Signal with Low Sidelobe and Nonaliasing Property[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2614-2622. doi: 10.11999/JEIT181190
Citation: Huijie LIU, Xinhai GAO, Rujiang GUO. A Time-frequency Analysis Method for Linear Frequency Modulation Signal with Low Sidelobe and Nonaliasing Property[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2614-2622. doi: 10.11999/JEIT181190

一種低副瓣無混疊的線性調(diào)頻信號時頻分析方法

doi: 10.11999/JEIT181190
基金項目: 國家自然科學(xué)基金(91738201),上海市青年科技英才揚帆計劃(17YF1418200)
詳細(xì)信息
    作者簡介:

    劉會杰:男,1972年生,博士,研究員,博士生導(dǎo)師,研究方向為衛(wèi)星移動通信系統(tǒng)理論與通信系統(tǒng)設(shè)計

    高新海:男,1995年生,碩士生,研究方向為復(fù)雜電磁環(huán)境下的時頻分析

    郭汝江:男,1977年生,博士,研究員,研究方向為新體制雷達(dá)、保密通信、無源定位

    通訊作者:

    高新?!?a href="mailto:gxh777@mail.ustc.edu.cn">gxh777@mail.ustc.edu.cn

  • 中圖分類號: TN911

A Time-frequency Analysis Method for Linear Frequency Modulation Signal with Low Sidelobe and Nonaliasing Property

Funds: The National Natural Science Foundation of China (91738201), Shanghai Sailing Program (17YF1418200)
  • 摘要: 作為通信與勘探中廣泛使用的一類信號,線性調(diào)頻信號的參數(shù)分析經(jīng)常采用基于Wigner-Ville分布(WVD)的時頻分析方法。該方法具有高時頻分辨率,但在交叉項、高副瓣以及頻譜混疊問題上存在缺陷。該文提出一種名為空間變跡重排Wigner-Ville分布(SVA-rWVD)的時頻分析方法,結(jié)合空間變跡技術(shù)(SVA)的副瓣抑制能力及短時傅里葉變換(STFT)的無混疊無交叉項特性,得到一個新的時頻分布?;趩畏至亢投喾至烤€性調(diào)頻信號的仿真實驗結(jié)果表明,該方法得到的時頻分布可以降低副瓣水平至–40 dB以下同時消除交叉項及頻譜混疊現(xiàn)象。
  • 圖  1  單分量LFM信號的時頻分析結(jié)果對比

    圖  2  時間切片比較結(jié)果(取對數(shù)進(jìn)行分析)

    圖  3  SVA-rWVD方法消除混疊現(xiàn)象的原理

    圖  4  多分量LFM信號的時頻分析結(jié)果對比

    圖  5  時間切片比較結(jié)果(取對數(shù)進(jìn)行分析)

    圖  6  多分量LFM信號的時頻分析結(jié)果對比

    圖  7  時間切片比較結(jié)果(取對數(shù)進(jìn)行分析)

    圖  8  不同信噪比下瞬時頻率估計的均方根誤差

    表  1  仿真參數(shù)設(shè)置

    參數(shù)名稱單分量LFM(圖1)多分量LFM(圖4)多分量LFM(圖6)
    脈沖寬度(μs)102410241204
    帶寬(MHz)111
    采樣率(MHz)111
    時間切片(μs)400500300
    頻率范圍(kHz)–500~5003個分量均為–500~500,且時間間隔相同–300~–100
    0~300
    –500~500
    下載: 導(dǎo)出CSV
  • YI Wei, CHEN Zhenhua, HOSEINNEZHAD R, et al. Joint estimation of location and signal parameters for an LFM emitter[J]. Signal Processing, 2017, 134: 100–112. doi: 10.1016/j.sigpro.2016.11.014
    李秀坤, 吳玉雙. 多分量線性調(diào)頻信號的Wigner-Ville分布交叉項去除[J]. 電子學(xué)報, 2017, 45(2): 315–320. doi: 10.3969/j.issn.0372-2112.2017.02.008

    LI Xiukun and WU Yushuang. Cross-term removal of Wigner-Ville distribution for multi-component LFM signals[J]. Acta Electronica Sinica, 2017, 45(2): 315–320. doi: 10.3969/j.issn.0372-2112.2017.02.008
    KUMAR R, ZHAO Wei, and SINGH V. Joint time-frequency analysis of seismic signals: A critical review[J]. Structural Durability & Health Monitoring, 2018, 12(2): 65–83. doi: 10.3970/sdhm.2018.02329
    鄒紅星, 戴瓊海, 李衍達(dá), 等. 不含交叉項干擾且具有WVD聚集性的時頻分布之不存在性[J]. 中國科學(xué): E輯, 2002, 45(3): 174–180. doi: 10.1360/02yf9015

    ZOU Hongxing, DAI Qionghai, LI Yanda, et al. Nonexistence of cross-term free time-frequency distribution with concentration of Wigner-Ville distribution[J]. Science in China Series F:Information Sciences, 2002, 45(3): 174–180. doi: 10.1360/02yf9015
    BOASHASH B, ALI KHAN N, and BEN-JABEUR T. Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review[J]. Digital Signal Processing, 2015, 40: 1–30. doi: 10.1016/j.dsp.2014.12.015
    趙培洪, 平殿發(fā), 鄧兵, 等. 魏格納-維爾分布交叉項抑制方法綜述[J]. 探測與控制學(xué)報, 2010, 32(1): 23–29. doi: 10.3969/j.issn.1008-1194.2010.01.006

    ZHAO Peihong, PING Dianfa, DENG Bing, et al. Review of cross-terms suppression methods in Wigner-Ville distribution[J]. Journal of Detection &Control, 2010, 32(1): 23–29. doi: 10.3969/j.issn.1008-1194.2010.01.006
    ALI KHAN N and SANDSTEN M. Time-frequency image enhancement based on interference suppression in Wigner-Ville distribution[J]. Signal Processing, 2016, 127: 80–85. doi: 10.1016/j.sigpro.2016.02.027
    REN Huorong, REN An, and LI Zhiwu. A new strategy for the suppression of cross-terms in pseudo Wigner-Ville distribution[J]. Signal, Image and Video Processing, 2016, 10(1): 139–144. doi: 10.1007/s11760-014-0713-9
    BOASHASH B and OUELHA S. An improved design of high-resolution quadratic time-frequency distributions for the analysis of nonstationary multicomponent signals using directional compact kernels[J]. IEEE Transactions on Signal Processing, 2017, 65(10): 2701–2713. doi: 10.1109/TSP.2017.2669899
    PACHORI R B and NISHAD A. Cross-terms reduction in the Wigner-Ville distribution using tunable-Q wavelet transform[J]. Signal Processing, 2016, 120: 288–304. doi: 10.1016/j.sigpro.2015.07.026
    王見, 李金同, 盧華玲, 等. 采用STFT-Wigner變換抑制Wigner-Ville分布交叉項[J]. 重慶大學(xué)學(xué)報, 2013, 36(8): 15–18. doi: 10.11835/j.jssn.1000-582X.2013.08.003

    WANG Jian, LI Jintong, LU Hualing, et al. Using STFT-Wigner transform to suppress the cross terms in Wigner-Ville distribution[J]. Journal of Chongqing University, 2013, 36(8): 15–18. doi: 10.11835/j.jssn.1000-582X.2013.08.003
    STANKWITZ H C, DALLAIRE R J, and FIENUP J R. Nonlinear apodization for sidelobe control in SAR imagery[J]. IEEE Transactions on Aerospace and Electronic Systems, 1995, 31(1): 267–279. doi: 10.1109/7.366309
    GUO Liang, YIN Hongfei, ZHOU Yu, et al. A novel sidelobe-suppression algorithm for airborne synthetic aperture imaging ladar[J]. Optics & Laser Technology, 2019, 111: 714–719. doi: 10.1016/j.optlastec.2018.09.005
    徐光耀, 劉永澤, 許小劍. 基于變跡濾波的MIMO-SAR圖像分辨率增強技術(shù)[J]. 北京航空航天大學(xué)學(xué)報, 2017, 43(7): 1313–1320. doi: 10.13700/j.bh.1001-5965.2016.0514

    XU Guangyao, LIU Yongze, and XU Xiaojian. Enhanced resolution in MIMO-SAR imaging using apodization[J]. Journal of Beijing University of Aeronautics and Astronsutics, 2017, 43(7): 1313–1320. doi: 10.13700/j.bh.1001-5965.2016.0514
    NI Chong, WANG Yanfei, XU Xianghui, et al. A super-resolution algorithm for synthetic aperture radar based on modified spatially variant apodization[J]. Science China Physics, Mechanics and Astronomy, 2011, 54(2): 355–364. doi: 10.1007/s11433-010-4186-8
    SARKAR B, PANIGRAHI R K, and MISHRA A K. Sidelobe suppression in Wigner distribution using non-linear apodization[C]. Proceedings of 2009 Annual IEEE India Conference, Gujarat, India, 2009: 1–4. doi: 10.1109/INDCON.2009.5409393.
    SUN Kewen, ZHANG Min, and YANG Dongkai. A new interference detection method based on joint hybrid time-frequency distribution for GNSS receivers[J]. IEEE Transactions on Vehicular Technology, 2016, 65(11): 9057–9071. doi: 10.1109/TVT.2016.2515718
    劉穎, 陳殿仁, 陳磊, 等. 基于周期Choi-Williams Hough變換的線性調(diào)頻連續(xù)波信號參數(shù)估計算法[J]. 電子與信息學(xué)報, 2015, 37(5): 1135–1140. doi: 10.11999/JEIT140876

    LIU Ying, CHEN Dianren, CHEN Lei, et al. Parameters estimation algorithm of linear frequency modulated continuous wave signals based on period Choi-Williams Hough transform[J]. Journal of Electronics &Information Technology, 2015, 37(5): 1135–1140. doi: 10.11999/JEIT140876
    張?zhí)祢U, 全盛榮, 強幸子, 等. 基于多尺度Chirplet稀疏分解和Wigner-Ville變換的時頻分析方法[J]. 電子與信息學(xué)報, 2017, 39(6): 1333–1339. doi: 10.11999/JEIT160750

    ZHANG Tianqi, QUAN Shengrong, QIANG Xingzi, et al. Time-frequency analysis method based on multi-scale Chirplet sparse decomposition and Wigner-Ville transform[J]. Journal of Electronics &Information Technology, 2017, 39(6): 1333–1339. doi: 10.11999/JEIT160750
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出版歷程
  • 收稿日期:  2018-12-28
  • 修回日期:  2019-05-27
  • 網(wǎng)絡(luò)出版日期:  2019-08-23
  • 刊出日期:  2019-11-01

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