分數階傅里葉和壓縮感知自適應抗頻譜彌散干擾

趙楊; 尚朝軒; 韓壯志; 韓寧; 解輝

doi:10.11999/JEIT180569

分數階傅里葉和壓縮感知自適應抗頻譜彌散干擾

doi: 10.11999/JEIT180569

趙楊^1, ,,
尚朝軒¹,
韓壯志¹,
韓寧²,
解輝¹

1.
陸軍工程大學 ??石家莊 ??050003
2.
中國人民解放軍32181部隊 ??西安 ??710032

基金項目: 國家自然科學基金(61601496)

詳細信息

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、雷達抗干擾

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

韓壯志：男，1972年生，博士，副教授，碩士生導師，研究方向為雷達信號處理、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、SAR雷達

解輝：男，1983年生，博士，講師，研究方向為雷達、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
計量
- 文章訪問數: 2281
- HTML全文瀏覽量: 1019
- PDF下載量: 102
- 被引次數: 0
出版歷程
- 收稿日期: 2018-06-11
- 修回日期: 2018-12-12
- 網絡出版日期: 2018-12-28
- 刊出日期: 2019-05-01

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

摘要:
頻譜彌散(SMSP)干擾與線性調頻雷達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SMSP干擾信號的形式與特點，通過自適應改變壓縮感知的干擾基字典，同時匹配雷達信號與干擾信號的調頻率，構建壓縮感知求解模型并基于凸優(yōu)化算法完成信號重構，最終實現干擾信號的識別及雷達信號的提取。該算法中冗余字典的構造采用了Pei型分數階傅里葉快速分解方法，不需要反復對信號進行時頻域解耦，并且迭代次數較少，運算效率較高。
- 信號處理 /
- 頻譜彌散 /
- 分數階傅里葉變換 /
- 壓縮感知 /
- 形態(tài)理論
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.
- Signal processing /
- SMeared SPectrum (SMSP) /
- Fractional Fourier Transform (FrFT) /
- Compressed sensing /
- Morphological theory

HTML全文

圖 1 時域波形

下載: 全尺寸圖片幻燈片

圖 2 脈沖壓縮結果

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圖 3 混合干擾后時域波形

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圖 4 混合干擾后脈沖壓縮結果

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圖 5 STFT結果

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圖 6 STFT等高線圖

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圖 7 3組仿真實驗結果

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圖 8 3種算法的干擾抑制曲線

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表 1 恢復結果的均方誤差統(tǒng)計值(×10^–14)

調頻倍數切片數
2 4 6 8

3 1.5126 1.4837 1.5018 1.5525
5 1.5246 1.5539 1.5187 1.4641
7 1.4727 1.5415 1.5443 1.5563
9 1.4811 1.5656 1.5707 1.5487

下載: 導出CSV

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