Volume 14 Issue 2
Apr.  2025
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LI Nian, LIU Jie, YU Junming, et al. Building layout tomography method based on joint multidomain direct wave estimation[J]. Journal of Radars, 2025, 14(2): 309–321. doi: 10.12000/JR24220
Citation: LI Nian, LIU Jie, YU Junming, et al. Building layout tomography method based on joint multidomain direct wave estimation[J]. Journal of Radars, 2025, 14(2): 309–321. doi: 10.12000/JR24220
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Building Layout Tomography Method Based on Joint Multidomain Direct Wave Estimation

DOI: 10.12000/JR24220 CSTR: 32380.14.JR24220
  • 1.

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

  • 2.

    The 27th Research Institute of China Electronics Technology Group Corporation, Zhengzhou 450047, China

Funds:  The National Natural Science Foundation of China (62401098, 62371110)
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  • Corresponding author: CHEN Jiahui, chenjiahui@uestc.edu.cn
  • Received Date: 2024-11-06
  • Rev Recd Date: 2024-12-23
    • Available Online: 2024-12-25
  • Publish Date: 2025-01-06
    Abstract
  • Obtaining internal layout information before entering unfamiliar buildings is crucial for various applications, such as counter-terrorism operations, disaster relief, and surveillance, highlighting its great practical significance and research value. To enable the acquisition of the building layout information, this paper presents a building layout tomography method based on joint multidomain direct wave estimation. First, a linear approximation model is established to map the relationship between the propagation delay of direct wave signals and the layout of the unknown building. Using this model, the distribution characteristics of direct wave and multipath signals in the fast-time, slow-time, and Doppler domains are analyzed in the tomographic imaging mode. A joint multidomain direct wave estimation algorithm is then proposed to achieve the suppression of multipath interference and precise estimation of direct wave signals. Additionally, a projection matrix adaptive correction algebraic reconstruction algorithm with total variation constraints is proposed, which enhances building layout inversion quality under limited data scenarios. Finally, electromagnetic simulation and experimental results demonstrate the effectiveness of the proposed building layout tomography method, with structural similarity indices of 91.2% and 81.7% for the reconstructed results, significantly outperforming existing building layout tomography methods.

     

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  • [1]
    金添, 宋勇平, 崔国龙, 等. 低频电磁波建筑物内部结构透视技术研究进展[J]. 雷达学报, 2021, 10(3): 342–359. doi: 10.12000/JR20119.

    JIN Tian, SONG Yongping, CUI Guolong, et al. Advances on penetrating imaging of building layout technique using low frequency radio waves[J]. Journal of Radars, 2021, 10(3): 342–359. doi: 10.12000/JR20119.
    [2]
    AHMAD F and AMIN M G. Noncoherent approach to through-the-wall radar localization[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(4): 1405–1419. doi: 10.1109/TAES.2006.314581.
    [3]
    崔国龙. 超宽带穿墙雷达合成孔径成像算法研究与实现[D]. [硕士论文], 电子科技大学, 2008: 6–16.

    CUI Guolong. Research and implementation of synthetic aperture imaging algorithm for ultra-wideband through-the-wall radar[D]. [Master dissertation], University of Electronic Science and Technology of China, 2008: 6–16.
    [4]
    NKWARI P K M, SINHA S, and FERREIRA H C. Through-the-wall radar imaging: A review[J]. IETE Technical Review, 2018, 35(6): 631–639. doi: 10.1080/02564602.2017.1364146.
    [5]
    GUO Shisheng, CUI Guolong, KONG Lingjiang, et al. An imaging dictionary based multipath suppression algorithm for through-wall radar imaging[J]. IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(1): 269–283. doi: 10.1109/TAES.2017.2756298.
    [6]
    CHEN Jiahui, GUO Shisheng, LUO Haolan, et al. Non-line-of-sight multi-target localization algorithm for driver-assistance radar system[J]. IEEE Transactions on Vehicular Technology, 2023, 72(4): 5332–5337. doi: 10.1109/TVT.2022.3227971.
    [7]
    CHEN Jiahui, LI Nian, GUO Shisheng, et al. Enhanced 3-D building layout tomographic imaging via tensor approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5105614. doi: 10.1109/TGRS.2024.3391282.
    [8]
    LI Nian, CHEN Jiahui, GUO Shisheng, et al. Building layout tomographic imaging based on MIMO-UWB radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5108713. doi: 10.1109/TGRS.2024.3435831.
    [9]
    NGUYEN L, RESSLER M, and SICHINA J. Sensing through the wall imaging using the Army Research Lab ultra-wideband synchronous impulse reconstruction (UWB SIRE) radar[C]. SPIE 6947, Radar Sensor Technology XII, Orlando, USA, 2008: 69470B. doi: 10.1117/12.776869.
    [10]
    LE C, DOGARU T, NGUYEN L, et al. Ultrawideband (UWB) radar imaging of building interior: Measurements and predictions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(5): 1409–1420. doi: 10.1109/TGRS.2009.2016653.
    [11]
    金添, 宋勇平. 超宽带雷达建筑物结构稀疏成像[J]. 雷达学报, 2018, 7(3): 275–284. doi: 10.12000/JR18031.

    JIN Tian and SONG Yongping. Sparse imaging of building layouts in ultra-wideband radar[J]. Journal of Radars, 2018, 7(3): 275–284. doi: 10.12000/JR18031.
    [12]
    ZHANG Yang, CHEN Jiahui, GUO Shisheng, et al. Building layout tomographic reconstruction via commercial WiFi signals[J]. IEEE Internet of Things Journal, 2021, 8(20): 15500–15511. doi: 10.1109/JIOT.2021.3073912.
    [13]
    MOSTOFI Y. Cooperative wireless-based obstacle/object mapping and see-through capabilities in robotic networks[J]. IEEE Transactions on Mobile Computing, 2013, 12(5): 817–829. doi: 10.1109/TMC.2012.32.
    [14]
    DEPATLA S, BUCKLAND L, and MOSTOFI Y. X-ray vision with only WiFi power measurements using Rytov wave models[J]. IEEE Transactions on Vehicular Technology, 2015, 64(4): 1376–1387. doi: 10.1109/TVT.2015.2397446.
    [15]
    DEPATLA S, KARANAM C R, and MOSTOFI Y. Robotic through-wall imaging: Radio-frequency imaging possibilities with unmanned vehicles[J]. IEEE Antennas and Propagation Magazine, 2017, 59(5): 47–60. doi: 10.1109/MAP.2017.2731302.
    [16]
    KARANAM C R and MOSTOFI Y. 3D through-wall imaging with unmanned aerial vehicles using WiFi[C]. The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, Pittsburgh, USA, 2017: 131–142. doi: 10.1145/3055031.3055084.
    [17]
    张扬. 建筑布局结构透视微波层析成像理论与方法[D]. [博士论文], 电子科技大学, 2022: 20–82.

    ZHANG Yang. Theory and method of perspective microwave tomography of building layout structure[D]. [Ph.D. dissertation], University of Electronic Science and Technology of China, 2022: 20–82.
    [18]
    GUO Qichang, LI Yanlei, LIANG Xingdong, et al. A novel CT-mode through-the-wall imaging method based on time delay estimation[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(8): 1381–1385. doi: 10.1109/LGRS.2020.3000423.
    [19]
    CHEN Jiahui, ZHANG Yang, LI Huquan, et al. Ultrawideband tomographic imaging in multipath-rich environment[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 8016305. doi: 10.1109/LGRS.2021.30961830.
    [20]
    YASWANTH K, BHATTACHARYA S, and KHANKHOJE U K. Algebraic reconstruction techniques for inverse imaging[C]. 2016 International Conference on Electromagnetics in Advanced Applications, Cairns, Australia, 2016: 756–759. doi: 10.1109/ICEAA.2016.7731509.
    [21]
    ANDREU F, CASELLES V, DÍAZ J I, et al. Some qualitative properties for the total variation flow[J]. Journal of Functional Analysis, 2002, 188(2): 516–547. doi: 10.1006/jfan.2001.3829.
    [22]
    LI Nian, ZHAN Yang, CHEN Jiahui, et al. Building layout tomographic imaging method with sparse scan angles[C]. The 2022 IEEE 8th International Conference on Computer and Communications, Chengdu, China, 2022: 2128–2132. doi: 10.1109/ICCC56324.2022.10066042.
    [23]
    GOLDSTEIN T and OSHER S. The split bregman method for l1-regularized problems[J]. SIAM Journal on Imaging Sciences, 2009, 2(2): 323–343. doi: 10.1137/080725891.
    [24]
    OTSU N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62–66. doi: 10.1109/TSMC.1979.4310076.
    [25]
    WARREN C, GIANNOPOULOS A, and GIANNAKIS I. GprMax: Open source software to simulate electromagnetic wave propagation for ground penetrating radar[J]. Computer Physics Communications, 2016, 209: 163–170. doi: 10.1016/j.cpc.2016.08.020.
    [26]
    HAMILTON B R, MA Xiaoli, BAXLEY R J, et al. Radio frequency tomography in mobile networks[C]. 2012 IEEE Statistical Signal Processing Workshop, Ann Arbor, USA, 2012: 508–511. doi: 10.1109/SSP.2012.6319745.
    [27]
    CHEN Jiahui, GUO Shisheng, CUI Guolong, et al. Building layout reconstruction with transmissive and reflective signals[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5116612. doi: 10.1109/TGRS.2022.3199270.
    [28]
    ZHAO Jifang, JIN Liangnian, and LIU Qinghua. Through-the-wall radar sparse imaging for building walls[J]. The Journal of Engineering, 2019, 2019(21): 7403–7405. doi: 10.1049/joe.2019.0541.
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