基于修正均勻冗余陣列正反編碼的稀疏陣列SAR下視三維成像處理
doi: 10.11999/JEIT161209
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2.
(中國(guó)科學(xué)院電子學(xué)研究所微波成像技術(shù)重點(diǎn)實(shí)驗(yàn)室 北京 100190) ②(中國(guó)科學(xué)院大學(xué) 北京 100190)
國(guó)家自然科學(xué)基金(61271422)
Downward-looking 3D Imaging Processing of Sparse Array SAR Based on Modified Uniformly Redundant Arrays Positive and Negative Coding
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2.
(Science and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
The National Natural Science Foundation of China (61271422)
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摘要: 該文研究基于頻分正交信號(hào)的機(jī)載交軌稀疏陣列SAR下視3維成像問題。為解決孔徑綜合方法帶來的重復(fù)頻率高、數(shù)據(jù)冗余量大和運(yùn)動(dòng)補(bǔ)償?shù)葐栴},提出一種基于修正均勻冗余陣列(Modified Uniformly Redundant Arrays, MURA)編碼和干涉處理頻域稀疏的3維成像方法,直接在距離頻域稀疏采樣條件下對(duì)目標(biāo)場(chǎng)景進(jìn)行下視3維成像。引入MURA編碼對(duì)回波數(shù)據(jù)在陣列采樣平面進(jìn)行正反編碼調(diào)制,分別獲得兩幅3維復(fù)圖像,并通過干涉處理使信號(hào)3維頻譜集中在低頻段,利用頻域低通濾波或壓縮感知(Compressed Sensing,CS)實(shí)現(xiàn)目標(biāo)場(chǎng)景3維成像。該方法具有回波數(shù)據(jù)利用率高和工作重復(fù)頻率低的特點(diǎn)。仿真分析和試驗(yàn)數(shù)據(jù)驗(yàn)證了方法的有效性。Abstract: The three-dimensional (3D) imaging of airborne sparse array SAR is studied. In order to avoid data redundancy, high Pulse Repetition Frequency (PRF) and motion compensation caused by aperture synthesis, the Modified Uniformly Redundant Arrays (MURA) is introduced for random modulation on echo data along the array antenna sampling plane. The MURA positive and negative coded echo signals are processed to form 3D complex images, respectively, and by interferometry of two images the 3D frequency spectrum of the signal is concentrated in low frequency band. Therefore, using low-pass filter or Compressed Sensing (CS) processing in frequency domain, 3D image with sufficient performance is obtained under the condition of sparse sampling in the frequency domain. The method has the characteristics of high utilization rate of echo data and low repetition frequency of the system. Simulation results and experimental data of the anechoic chamber verify the effectiveness of the proposed method.
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Key words:
- SAR /
- 3D imaging /
- Sparse array /
- Sparse sampling /
- Modified Uniformly Redundant Arrays (MURA) /
- Interferometry
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