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分?jǐn)?shù)階傅里葉和壓縮感知自適應(yīng)抗頻譜彌散干擾

趙楊,  尚朝軒,  韓壯志,  韓寧,  解輝

趙楊, 尚朝軒, 韓壯志, 韓寧, 解輝. 分?jǐn)?shù)階傅里葉和壓縮感知自適應(yīng)抗頻譜彌散干擾[J]. 電子與信息學(xué)報, 2019, 41(5): 1047-1054. doi: 10.11999/JEIT180569
引用本文: 趙楊, 尚朝軒, 韓壯志, 韓寧, 解輝. 分?jǐn)?shù)階傅里葉和壓縮感知自適應(yīng)抗頻譜彌散干擾[J]. 電子與信息學(xué)報, 2019, 41(5): 1047-1054. doi: 10.11999/JEIT180569
Yang ZHAO, Chaoxuan SHANG, Zhuangzhi HAN, Ning HAN, Hui XIE. Fractional Fourier Transform and Compressed Sensing Adaptive Countering Smeared Spectrum Jamming[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1047-1054. doi: 10.11999/JEIT180569
Citation: Yang ZHAO, Chaoxuan SHANG, Zhuangzhi HAN, Ning HAN, Hui XIE. Fractional Fourier Transform and Compressed Sensing Adaptive Countering Smeared Spectrum Jamming[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1047-1054. doi: 10.11999/JEIT180569

分?jǐn)?shù)階傅里葉和壓縮感知自適應(yīng)抗頻譜彌散干擾

doi: 10.11999/JEIT180569 cstr: 32379.14.JEIT180569
  • 1.

    陸軍工程大學(xué) ??石家莊 ??050003

  • 2.

    中國人民解放軍32181部隊 ??西安 ??710032

基金項目: 國家自然科學(xué)基金(61601496)
詳細(xì)信息
    作者簡介:

    趙楊：男，1992年生，博士，研究方向為壓縮感知、信號處理、雷達(dá)抗干擾

    尚朝軒：男，1964年生，博士，教授，博士生導(dǎo)師，研究方向為武器系統(tǒng)性能檢測、雷達(dá)信號處理

    韓壯志：男，1972年生，博士，副教授，碩士生導(dǎo)師，研究方向為雷達(dá)信號處理、武器系統(tǒng)性能評估

    韓寧：男，1985年生，博士，工程師，研究方向為雙基地雷達(dá)、SAR雷達(dá)

    解輝：男，1983年生，博士，講師，研究方向為雷達(dá)、通信信號偵察及信道編碼識別

    通訊作者:

    趙楊　zhaoyang_oec@foxmail.com

  • 中圖分類號: TN974

Fractional Fourier Transform and Compressed Sensing Adaptive Countering Smeared Spectrum Jamming

  • 1.

    Army Engineering University, Shijiazhuang 050003, China

  • 2.

    32181 of PLA, Xi’an 710032, China

Funds: The National Natural Science Foundation of China (61601496)
  • 摘要:

    頻譜彌散(SMSP)干擾與線性調(diào)頻雷達(dá)信號之間存在大量的時頻域耦合，干擾效能突出。該文提出一種信息域的抗SMSP干擾的信號處理算法，根據(jù)SMSP干擾信號的形式與特點，通過自適應(yīng)改變壓縮感知的干擾基字典，同時匹配雷達(dá)信號與干擾信號的調(diào)頻率，構(gòu)建壓縮感知求解模型并基于凸優(yōu)化算法完成信號重構(gòu)，最終實現(xiàn)干擾信號的識別及雷達(dá)信號的提取。該算法中冗余字典的構(gòu)造采用了Pei型分?jǐn)?shù)階傅里葉快速分解方法，不需要反復(fù)對信號進(jìn)行時頻域解耦，并且迭代次數(shù)較少，運算效率較高。

    Abstract:

    SMeared SPectrum (SMSP) jamming has lots of coupling in time and frequency domain with Linear Frequency Modulated (LFM) radar signals, which has good jamming performance. This paper proposes a signal processing method for countering SMSP jamming in information domain. According to the formulation and characteristics of SMSP signal, the jamming dictionary is changed automatically, the frequency modulation rate of LFM and SMSP signal is matcheal at the same time, the compressed sampling model is consructed and reconstruction of signal is carried out based on convex optimization. Finally, the recognition of jamming signal and extraction of radar signal are achieved. Pei type fractional Fourier decomposition method is used in construction of redundant dictionary. Modulation and demodulation between time and frequency domain are avoided in this method, which leads to improvement in fewer iteration times and higher arithmetic speed.

    • HTML全文

  • 圖  1  時域波形

    圖  2  脈沖壓縮結(jié)果

    圖  3  混合干擾后時域波形

    圖  4  混合干擾后脈沖壓縮結(jié)果

    圖  5  STFT結(jié)果

    圖  6  STFT等高線圖

    圖  7  3組仿真實驗結(jié)果

    圖  8  3種算法的干擾抑制曲線

    表  1  恢復(fù)結(jié)果的均方誤差統(tǒng)計值(×10–14)

    調(diào)頻倍數(shù)切片數(shù)
    2468
    31.51261.48371.50181.5525
    51.52461.55391.51871.4641
    71.47271.54151.54431.5563
    91.48111.56561.57071.5487
    下載: 導(dǎo)出CSV
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出版歷程
  • 收稿日期:  2018-06-11
  • 修回日期:  2018-12-12
  • 網(wǎng)絡(luò)出版日期:  2018-12-28
  • 刊出日期:  2019-05-01

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