UWB-MIMO穿墻雷達三維成像與運動補償算法研究
doi: 10.11999/JEIT190356
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中國科學院空天信息創(chuàng)新研究院 北京 100094
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2.
中國科學院大學 北京 100049
Study on 3D Imaging and Motion Compensation Algorithm for UWB-MIMO Through-wall Radar
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1.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
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2.
University of Chinese Academy of Sciences, Beijing 100049, China
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摘要: 該文提出一種適用于超寬帶MIMO稀疏陣列的Kirchhoff遷移成像和運動補償方法。該方法將傳統(tǒng)Kirchhoff積分方程引入到MIMO陣列中,并利用后向格林函數(shù)替代前向格林函數(shù)來解決小陣列大視場的問題。另外,在通過微波開關切換分時復用的方式來采集接收單元回波數(shù)據(jù)的同時,增加1個參考通道直接采集參考單元的回波信號來估計運動目標的位置變化信息,對MIMO通道的數(shù)據(jù)進行運動補償后再進行3D成像,有效避免了因目標運動導致的散焦和成像結果偏移真實位置的問題。Abstract: A motion compensation method based on Kirchhoff migration imaging algorithm for MIMO array is proposed. In the method, the traditional Kirchhoff intergral equation is introduced into the MIMO array and the forward Green function is replaced by the backward Green function to solve the problem of the large view field of the small array. The echo signal of the reference unit is directly recieved by adding a reference channel to estimate the position change information of the moving target, while the signal of the receiving units is sampled through the microwave switch time divition multiplexing. Then 3D imaging is performed after motion compensation for the data of the MIMO channel, which avoids effectively the problem of defocusing due to target migration and the deviation of the imaging result from the real position.
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Key words:
- Through-wall radar imaging /
- Sparse array /
- Ultra-wideband /
- Motion compensation
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表 1 MIMO雷達關鍵參數(shù)
參數(shù)名稱 參數(shù)值 中心頻率 1 GHz 帶寬 1 GHz 碼型 Golay互補碼 累加次數(shù) 16 ADC位數(shù) 16 bit 等效采樣率 16 GHz 掃描率 2拍/s 下載: 導出CSV
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TANG V H, BOUZERDOUM A, and PHUNG S L. Multipolarization through-wall radar imaging using low-rank and jointly-sparse representations[J]. IEEE Transactions on Image Processing, 2018, 27(4): 1763–1776. doi: 10.1109/TIP.2017.2786462 晉良念, 馮飛, 劉慶華, 等. 利用塊間耦合稀疏貝葉斯學習的建筑物布局成像方法[J]. 電子與信息學報, 2018, 40(4): 853–859. doi: 10.11999/JEIT170719JIN Liangnian, FENG Fei, LIU Qinghua, et al. Building layout imaging method using the inter-block coupling sparse bayesian learning[J]. Journal of Electronics &Information Technology, 2018, 40(4): 853–859. doi: 10.11999/JEIT170719 Salinas V S, SANTOS-ASSUN?AO S, and PéREZ-GRACIA V. GPR clutter amplitude processing to detect shallow geological targets[J]. Remote Sensing, 2018, 10(1): 88. doi: 10.3390/rs10010088 DONG Zehua, FANG Guangyou, JI Yicai, et al. Parameters and structure of lunar regolith in Chang'E-3 landing area from lunar penetrating radar (LPR) data[J]. Icarus, 2017, 282: 40–46. doi: 10.1016/j.icarus.2016.09.010 DEHMOLLAIAN M and SARABANDI K. Refocusing through building walls using synthetic aperture radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(6): 1589–1599. doi: 10.1109/tgrs.2008.916212 TAN Qinyan, LEUNG H, SONG Yaoliang, et al. Multipath ghost suppression for through-the-wall radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(3): 2284–2292. doi: 10.1109/TAES.2013.100241 張斕子, 陸必應, 周智敏, 等. 基于空間特征的MIMO穿墻雷達墻雜波抑制[J]. 電子與信息學報, 2014, 36(4): 946–952. doi: 10.3724/SP.J.1146.2013.00891ZHANG Lanzi, LU Biying, ZHOU Zhimin, et al. A wall clutter suppression method based on spatial signature in MIMO through-the-wall radar imaging[J]. Journal of Electronics &Information Technology, 2014, 36(4): 946–952. doi: 10.3724/SP.J.1146.2013.00891 SONG Yongping, HU Jun, CHU Ning, et al. Building layout reconstruction in concealed human target sensing via UWB MIMO through-wall imaging radar[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(8): 1199–1203. doi: 10.1109/LGRS.2018.2834501 王懷軍, 黃春琳, 陸珉, 等. MIMO雷達反向投影成像算法[J]. 系統(tǒng)工程與電子技術, 2010, 32(8): 1567–1573. doi: 10.3969/j.issn.1001-506X.2010.08.03WANG Huaijun, HUANG Chunlin, LU Min, et al. Back projection imaging algorithm for MIMO radar[J]. Systems Engineering and Electronics, 2010, 32(8): 1567–1573. doi: 10.3969/j.issn.1001-506X.2010.08.03 梁福來, 李浩楠, 祁富貴, 等. UWB MIMO生物雷達多靜止人體目標成像方法研究[J]. 雷達學報, 2016, 5(5): 470–476. doi: 10.12000/JR16096LIANG Fulai, LI Haonan, QI Fugui, et al. Imaging of multiple stationary humans using a UWB MIMO bio-radar[J]. Journal of Radars, 2016, 5(5): 470–476. doi: 10.12000/JR16096 HUANG Qiong, QU Lele, WU Bingheng, et al. UWB through-wall imaging based on compressive sensing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(3): 1408–1415. doi: 10.1109/TGRS.2009.2030321 BECQUAERT M, CRISTOFANI E, LAUWENS B, et al. Online sequential compressed sensing with multiple information for through-the-wall radar imaging[J]. IEEE Sensors Journal, 2019, 19(11): 4138–4148. doi: 10.1109/JSEN.2019.2898274 ZHUGE Xiaodong and YAROVOY A G. Three-dimensional near-field MIMO array imaging using range migration techniques[J]. IEEE Transactions on Image Processing, 2012, 21(6): 3026–3033. doi: 10.1109/TIP.2012.2188036 ZHUGE Xiaodong, YAROVOY A G, SAVELYEV T, et al. Modified kirchhoff migration for UWB MIMO array-based radar imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(6): 2692–2703. doi: 10.1109/tgrs.2010.2040747 AMIN M G, 朱國富, 陸心應, 金添, 等譯. 穿墻雷達成像[M]. 北京: 電子工業(yè)出版社, 2014: 55–57.AMIN M G, ZHU Guofu, LU Xinying, JIN Tian, et al. translation. Through-the-Wall Radar Imaging[M]. Beijing: Publishing House of Electronics Industry, 2014: 55–57. -