Multipath Ghost and Side/Grating Lobe Suppression Based on Stacked Generative Adversarial Nets in MIMO Through-Wall Radar Imaging

Jia, Yong; Guo, Yong; Chen, Shengyi; Song, Ruiyuan; Wang, Gang; Zhong, Xiaoling; Yan, Chao; Cui, Guolong

doi:10.1109/access.2019.2945859

Cited by 14 publications

(6 citation statements)

References 33 publications

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“…The space coordinates of the targets at time t are obtained using Equation (18). It is worth noting that we can only obtain the spatial coordinates of the targets at the initial time (t = 0) without the tracks of the targets at the previous time.…”

Section: Multipath Ghost Suppression Methodsmentioning

confidence: 99%

“…Another is the suppression of multipath signals. These works mainly use the fusion of results from different detection views [16,17], deep learning [18] methods, or the theory of compressive sensing [19] to achieve multipath ghost target suppression. However, these studies mainly consider the detection perspective in a horizontal line of sight.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Electromagnetic Wave and Multipath Suppression from Overhead Perspective

Luo,

Zhang,

Ren

et al. 2023

Remote Sensing

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The multipath problem in indoor target detection has always been a long-standing research hotspot. Although there are many solutions to the multipath problem in a horizontal line of sight, the multipath problem of single-station radar from an overhead perspective still needs to be solved. At present, there is a lack of detailed analysis on the multipath propagation law of electromagnetic waves from an overhead perspective. This paper first analyzes the multipath propagation law of overhead perspective and reveals a combination multipath propagation phenomenon that is easily overlooked, which is formed by walls, ground, and targets. In addition, during the analysis process, the influence of coherent sources generated by multipath on angle estimation was fully considered, and verified through simulation and measured data. Then, based on the result of propagation analysis, this paper proposes a multipath ghost target suppression method. This method first establishes a multipath ghost target location dictionary based on building information, and then matches the tracking results with the dictionary to suppress successfully matched multipath ghost targets. Finally, several experiments are carried out to verify the effectiveness of this method.

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Section: Multipath Ghost Suppression Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Electromagnetic Wave and Multipath Suppression from Overhead Perspective

Luo,

Zhang,

Ren

et al. 2023

Remote Sensing

Self Cite

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“…In addition, sparsely distributed transmitting and receiving antennas can form a large aperture, to obtain a high resolution. Therefore, MIMO TWR is an essential technology in the detection of through-wall targets [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…∆τ 4 = [S 28 (t) ⊗ S 33 (t)]/5 (7) The increase rate of the echo delay can be used to compensate for the delay in the echo signal measured by each channel in each section. The compensated signal S j (t) can be described as:…”

mentioning

confidence: 99%

Three-Dimensional Motion Compensation Method Based on Sparse Array Designed for Time-Division Multiplexing Multiple-Input-Multiple-Output Through-Wall Radar

Pan

Liang

et al. 2023

Applied Sciences

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A large-aperture radar composed of a multiple-input-multiple-output (MIMO) planar array can complete 3D through-wall imaging (TWI), but the simultaneous work of the multiple transceiver channels leads to difficulties in designing the hardware. In engineering, multiple transceiver channels are usually realized by time-division multiplexing (TDM) in MIMO radar, which is called TDM MIMO radar. A time delay will be introduced when the channels are switched, which will cause high sidelobes and position deviation in the 3D imaging of moving targets, also known as range migration. This paper proposes a motion compensation algorithm based on sparse array, designed to eliminate range migration in moving targets in 3D TWI scenes. In the proposed algorithm, the coincident array elements of the equivalent array are used as the compensation channels to calculate the position difference of the target, which can correct the remaining MIMO channels. The proposed algorithm is compared with no compensation, and the reference-channel-based motion compensation algorithm (RCMCA). According to the simulation and experimental results, the proposed motion compensation algorithm can effectively eliminate sidelobes, and keep the position deviation within 0.30 m in the 3D TWI of moving targets under the TDM MIMO radar, without increasing the system complexity.

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“…A lot of research has been conducted in clutter suppression and wall compensation [5][6][7]. MIMO radar uses a real aperture of multiple transceiver combinations to solve the problem of time-consuming and inconvenient use of mobile scanning in SAR TWI applications [8][9][10][11][12][13]. MIMO radar achieves multi-angle irradiation of the target while maintaining a high speed of data acquisition.…”

Section: Introductionmentioning

confidence: 99%

3D imaging of moving targets for ultra‐wideband MIMO through‐wall radar system

Pan

Shi

et al. 2021

IET Radar Sonar & Navi

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Ultra-wideband (UWB) radar is widely used in static through-wall imaging (TWI). There are still many imaging problems of motion through-wall targets for complex system structure and unknown wall environment. Herein, a motion compensation method based on the reference channel and a modified Kirchhoff migration imaging algorithm are proposed for Ultra-wideband (UWB) MIMO sparse array, which is used for high-precision 3D TWI of moving targets. The channels of the MIMO radar are time-division multiplexing based on microwave switch. Besides, a reference channel is added for motion compensation of moving targets. Performing motion compensation on the target before 3D imaging can effectively avoid the problems of defocus and position deviation caused by target motion. In the proposed imaging method, the backward Green function is used to replace the forward Green function to solve the problem of a large field of view with small arrays. The experiment with a static through-wall target proves that the proposed imaging algorithm can suppress sidelobes well compared with the traditional back-projection algorithm (BPA). Through-wall experiments are carried out for targets with different speeds, and results show that the positioning accuracy and sidelobe level of the proposed compensation method is better than previously proposed methods. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Multipath Ghost and Side/Grating Lobe Suppression Based on Stacked Generative Adversarial Nets in MIMO Through-Wall Radar Imaging

Cited by 14 publications

References 33 publications

Analysis of Electromagnetic Wave and Multipath Suppression from Overhead Perspective

Analysis of Electromagnetic Wave and Multipath Suppression from Overhead Perspective

Three-Dimensional Motion Compensation Method Based on Sparse Array Designed for Time-Division Multiplexing Multiple-Input-Multiple-Output Through-Wall Radar

3D imaging of moving targets for ultra‐wideband MIMO through‐wall radar system

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