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基于信號(hào)-數(shù)據(jù)聯(lián)合處理的壓制-距離欺騙復(fù)合干擾抑制算法

王國(guó)宏,  白杰,  孫殿星,  張翔宇

王國(guó)宏, 白杰, 孫殿星, 張翔宇. 基于信號(hào)-數(shù)據(jù)聯(lián)合處理的壓制-距離欺騙復(fù)合干擾抑制算法[J]. 電子與信息學(xué)報(bào), 2018, 40(10): 2430-2437. doi: 10.11999/JEIT170759
引用本文: 王國(guó)宏, 白杰, 孫殿星, 張翔宇. 基于信號(hào)-數(shù)據(jù)聯(lián)合處理的壓制-距離欺騙復(fù)合干擾抑制算法[J]. 電子與信息學(xué)報(bào), 2018, 40(10): 2430-2437. doi: 10.11999/JEIT170759
Guohong WANG, Jie BAI, Dianxing SUN, Xiangyu ZHANG. A Suppression Algorithm of Blanket-distance Deception Compound Jamming based on Joint Signal-data Processing[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2430-2437. doi: 10.11999/JEIT170759
Citation: Guohong WANG, Jie BAI, Dianxing SUN, Xiangyu ZHANG. A Suppression Algorithm of Blanket-distance Deception Compound Jamming based on Joint Signal-data Processing[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2430-2437. doi: 10.11999/JEIT170759

基于信號(hào)-數(shù)據(jù)聯(lián)合處理的壓制-距離欺騙復(fù)合干擾抑制算法

doi: 10.11999/JEIT170759 cstr: 32379.14.JEIT170759

  • 海軍航空大學(xué)信息融合研究所 ??煙臺(tái) ??264001

基金項(xiàng)目: 國(guó)家自然科學(xué)基金(61731023, 61701519, 61501489)；泰山學(xué)者攀登計(jì)劃
詳細(xì)信息
    作者簡(jiǎn)介:

    王國(guó)宏：男，1963年生，教授，博士生導(dǎo)師，研究方向?yàn)槔走_(dá)抗干擾、信息融合等

    白杰：男，1993年生，助教，研究方向?yàn)槔走_(dá)抗干擾

    孫殿星：男，1983年生，講師，研究方向?yàn)闄C(jī)動(dòng)目標(biāo)跟蹤、信息融合

    張翔宇：男，1986年生，講師，研究方向?yàn)闄C(jī)動(dòng)目標(biāo)跟蹤、信息融合

    通訊作者:

    白杰　 1541753296@qq.com

  • 中圖分類號(hào): TN972

A Suppression Algorithm of Blanket-distance Deception Compound Jamming based on Joint Signal-data Processing

  • Institute of Information Fusion, Naval Aeronautics University, Yantai 264001, China

Funds: The National Natural Science Foundation of China (61731023, 61701519, 61501489), Taishan Scholar Climbing Plan
  • 摘要: 針對(duì)單一信號(hào)處理或數(shù)據(jù)處理對(duì)壓制-欺騙加性復(fù)合干擾抑制效果較差的問題，論文提出一種適用于脈沖壓縮雷達(dá)的基于信號(hào)-數(shù)據(jù)聯(lián)合處理的壓制-距離欺騙復(fù)合干擾抑制算法。首先，通過分?jǐn)?shù)階傅里葉變換(FRFT)域窄帶濾波以及LFM信號(hào)重構(gòu)對(duì)消算法，實(shí)現(xiàn)信號(hào)層對(duì)壓制干擾的抑制，并減小對(duì)真實(shí)目標(biāo)的漏檢概率；然后，利用噪聲點(diǎn)跡空間相關(guān)性較差的特征，通過M/N邏輯法對(duì)噪聲點(diǎn)跡進(jìn)行剔除，并對(duì)目標(biāo)點(diǎn)跡進(jìn)行航跡起始；最后，根據(jù)距離假目標(biāo)航跡角度量測(cè)誤差方差較大的特點(diǎn)，通過 ${\chi ^2}$ 檢驗(yàn)以及聚類劃分算法，對(duì)虛假目標(biāo)航跡進(jìn)行剔除，最終實(shí)現(xiàn)對(duì)壓制-欺騙加性復(fù)合干擾的抑制。仿真結(jié)果表明，該文算法對(duì)壓制-欺騙復(fù)合干擾能夠起到較好的抑制效果。
    Abstract: Considering at the problem that the suppression effect of single signal processing or data processing is poor on blanket-deception compound jamming, a suppression algorithm of blanket-distance deception compound jamming based on joint signal-data processing is proposed. Firstly, the Fractional Fourier Transform (FRFT) domain narrowband filtering and LFM signal reconstruction algorithm are used to suppress the suppression of the signal layer and reduce the leakage probability of the real target. Then, the target tracks and the deception tracks are rejected by using the M/N logic method. Finally, according to the different characteristics of the angle variance between the false targets and the true targets, the false targets are eliminated by the ${\chi ^2}$ test and the clustering algorithm. The simulation results verify the good effect of the algorithm proposed in this paper.
    • HTML全文

  • 圖  1  本文算法流程圖

    圖  2  LFM信號(hào)峰值階次

    圖  3  噪聲調(diào)頻干擾峰值階次

    圖  4  LFM信號(hào)雙門限檢測(cè)算法

    圖  5  回波信號(hào)FRFT域譜分布

    圖  6  對(duì)消后FRFT域譜分布

    圖  7  窄帶濾波前脈沖壓縮結(jié)果

    圖  8  窄帶濾波后脈沖壓縮結(jié)果

    圖  9  空間域點(diǎn)跡分布

    圖  10  3/4邏輯法后生成航跡

    圖  11  測(cè)距精度對(duì)算法影響

    圖  12  樣本容量對(duì)算法影響

    表  1  目標(biāo)檢測(cè)概率和虛警概率隨門限取值變化

    門限取值 1 2 3 4 5 6
    檢測(cè)概率 1.00 1.00 1.00 0.99 0.88 0.79
    虛警概率 0.45 0.23 0.11 0.03 0 0
    下載: 導(dǎo)出CSV
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  • 收稿日期:  2017-07-26
  • 修回日期:  2018-06-29
  • 網(wǎng)絡(luò)出版日期:  2018-07-30
  • 刊出日期:  2018-10-01

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