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基于集成固有時間尺度分解的IFF輻射源個體識別算法

張玉 李天琪 張進 唐波

張玉, 李天琪, 張進, 唐波. 基于集成固有時間尺度分解的IFF輻射源個體識別算法[J]. 電子與信息學報, 2020, 42(2): 430-437. doi: 10.11999/JEIT190085
引用本文: 張玉, 李天琪, 張進, 唐波. 基于集成固有時間尺度分解的IFF輻射源個體識別算法[J]. 電子與信息學報, 2020, 42(2): 430-437. doi: 10.11999/JEIT190085
Yu ZHANG, Tianqi LI, Jin ZHANG, Bo TANG. Individual Recognition Algorithm of IFF Radiation Sources Based on Ensemble Intrinsic Time-scale Decomposition[J]. Journal of Electronics & Information Technology, 2020, 42(2): 430-437. doi: 10.11999/JEIT190085
Citation: Yu ZHANG, Tianqi LI, Jin ZHANG, Bo TANG. Individual Recognition Algorithm of IFF Radiation Sources Based on Ensemble Intrinsic Time-scale Decomposition[J]. Journal of Electronics & Information Technology, 2020, 42(2): 430-437. doi: 10.11999/JEIT190085

基于集成固有時間尺度分解的IFF輻射源個體識別算法

doi: 10.11999/JEIT190085
基金項目: 國家自然科學基金(61671453),安徽省自然科學基金(1608085MF123),國防科技大學自然科學基金(ZK18-03-19)
詳細信息
    作者簡介:

    張玉:男,1962年生,教授,碩士生導師,研究方向為雷達與通信中的信號處理

    李天琪:女,1994年生,碩士生,研究方向為信號與信息處理

    張進:男,1974年生,講師,研究方向為陣列信號處理

    唐波:男,1985年生,副教授,研究方向為自適應(yīng)陣列信號處理、雷達波形設(shè)計等

    通訊作者:

    李天琪 helen_0370@163.com

  • 中圖分類號: TN958.96

Individual Recognition Algorithm of IFF Radiation Sources Based on Ensemble Intrinsic Time-scale Decomposition

Funds: The National Natural Science Foundation of China (61671453), The Natural Science Foundation of Anhui Province (1608085MF123), The Natural Science Foundation of National University of Defense Technology (ZK18-03-19)
  • 摘要:

    為研究敵我識別(IFF)輻射源信號的細微特征,針對目前在復(fù)雜噪聲環(huán)境中IFF輻射源個體識別研究不足的問題,該文提出一種基于集成固有時間尺度分解的IFF輻射源個體識別算法。該算法應(yīng)用集成固有時間尺度分解(EITD)將采樣信號自適應(yīng)劃分為若干有實際意義的信號分量并求取IFF輻射源信號在時頻域的能量分布圖。通過對時頻能量譜的紋理分析,以圖像的紋理特征表征輻射源信號的無意調(diào)制特征,送入支持向量機(SVM)中進行分類識別。實驗表明,所提算法相較于基于希爾伯特-黃變換(HHT)、基于固有時間尺度分解(ITD)的輻射源個體識別方法在識別準確度上有較大提升。

  • 圖  1  本文算法流程圖

    圖  2  原始信號及EITD分解結(jié)果

    圖  3  索貝爾算子圖例

    圖  4  不同輻射源信號的時頻能量譜

    圖  5  隨信噪比變化時仿真信號的識別性能對比

    圖  6  不同時頻分析手段對識別率的影響

    圖  7  訓練樣本個數(shù)對識別性能的影響

    表  1  各方法的平均運算時間(ms)

    方法ITDEMDEITDEITD (迭代次數(shù)5)
    運算時間8.419.021.310.2
    下載: 導出CSV
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  • 加載中
圖(7) / 表(1)
計量
  • 文章訪問數(shù):  2542
  • HTML全文瀏覽量:  1140
  • PDF下載量:  84
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2019-01-28
  • 修回日期:  2019-03-20
  • 網(wǎng)絡(luò)出版日期:  2019-09-27
  • 刊出日期:  2020-02-19

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