短脈沖非相參雷達的逆合成孔徑成像及其稀疏恢復(fù)成像技術(shù)

汪海波; 黃文華; 巴濤; 姜悅

doi:10.11999/JEIT180912

短脈沖非相參雷達的逆合成孔徑成像及其稀疏恢復(fù)成像技術(shù)

doi: 10.11999/JEIT180912 cstr: 32379.14.JEIT180912

西北核技術(shù)研究所高功率微波技術(shù)重點實驗室 ??西安 ??710024

詳細信息

作者簡介:
汪海波：男，1987年生，工程師，研究方向為高功率微波技術(shù)和雷達信號處理

黃文華：男，1968年生，研究員，博士生導(dǎo)師，研究方向為高功率微波技術(shù)

姜悅：女，1989年生，工程師，研究方向為高功率微波技術(shù)、特征提取與目標識別

通訊作者:
汪海波　wanghaibo@nint.ac.cn

中圖分類號: TN951
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- 文章訪問數(shù): 1966
- HTML全文瀏覽量: 1255
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-09-21
- 修回日期: 2019-01-12
- 網(wǎng)絡(luò)出版日期: 2019-05-20
- 刊出日期: 2019-11-01

Inverse Synthetic Aperture Radar Imaging with Non-Coherent Short Pulse Radar and Its Sparse Recovery

Science and Technology on High Power Microwave Laboratory, Northwest Institute of Nuclear Technology, Xi’an 710024, China

摘要

摘要: 短脈沖非相參雷達(NCSP)的輻射源輸出微波脈沖持續(xù)時間短，針對于高速運動目標而言，其脈沖持續(xù)時間內(nèi)的目標運動可忽略不計，對回波信號不需進行專門的脈沖內(nèi)運動補償。為了利用短脈沖非相參雷達信號進行逆合成孔徑雷達成像，該文應(yīng)用補償相參處理的方法，去除輻射信號包絡(luò)時間不確定性和初始相位的不確定性影響，在常規(guī)方法進行包絡(luò)對齊和初相補償后可利用距離-多普勒(RD)方法進行逆合成孔徑雷達成像，仿真驗證了補償后信號成像的可行性。然而，短脈沖非相參雷達的載頻隨機抖動的因素會導(dǎo)致距離-多普勒成像結(jié)果在多普勒維度產(chǎn)生隨機調(diào)制的旁瓣，影響成像的質(zhì)量。利用稀疏恢復(fù)技術(shù)，在成像空間中對目標的散射中心進行稀疏重構(gòu)，利用正交匹配追蹤(OMP)算法和稀疏貝葉斯學(xué)習(xí)(SBL)算法進行成像，從而實現(xiàn)了抑制非相參因素引起的成像旁瓣，改進了成像質(zhì)量，通過仿真驗證了方法可行性。
- 短脈沖非相參雷達 /
- 逆合成孔徑成像 /
- 稀疏恢復(fù)
Abstract: The microwave source of Non-Coherent Short Pulse (NCSP) radar transmits short pulse. Thus, for high velocity targets, the motion effect in the pulse duration can be neglected, and the echo signal does not need special motion compensation. In order to use the NCSP radar signal for Inverse Synthetic Aperture Radar (ISAR) imaging, the compensation coherent processing method is applied to removing the uncertainty of the envelope time and the initial phase uncertainty. Assuming that the echo is envelope-aligned and initially compensated by conventional methods, ISAR radar imaging can be performed using the Range-Doppler (RD) method, subsequently. The simulation verifies the feasibility of the compensation signal ISAR imaging. However, the carrier-frequency random jitter factor of NCSP radar causes random-modulated sidelobes in the Doppler dimension, which affect imaging quality. In this paper, the sparse recovery technique is used to perform sparse reconstruction of the target scattering center in the imaging space. The Orthogonal Matching Pursuit (OMP) algorithm and the Sparse Bayesian Learning (SBL) algorithm are used as the recovery algorithm for imaging simulation experiments. The simulation results show that the sparse recovery technique can suppress the imaging sidelobes caused by non-coherence and improve the imaging quality.
- Non-Coherent Short Pulse (NCSP) radar /
- Inverse Synthetic Aperture radar (ISAR) /
- Sparse recovery

HTML全文

圖 1 短脈沖非相參雷達系統(tǒng)結(jié)構(gòu)

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圖 2 3種信號對運動目標回波的對比

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圖 3 成像幾何模型

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圖 4 點目標模型的設(shè)定

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圖 5 頻率抖動示意

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圖 6 RD成像結(jié)果

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圖 7 稀疏恢復(fù)成像結(jié)果

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