Phase Shift Migration With SIMO Superposition for MIMO-Sidelooking Imaging at Terahertz Band

Yang, Guan; Li, Chao; Gao, Hang; Fang, Guangyou

doi:10.1109/access.2020.3017617

Cited by 10 publications

(2 citation statements)

References 31 publications

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“…The algorithm used an appropriate approximation for the wavenumber domain to transform the multi-static problem into a monostatic problem in order to achieve higher computational efficiency. Some scholars have also transformed MIMO into SIMO array to solve the problem of slow imaging [27,28]. However, this method has a significant improvement in imaging speed when the number of transmitting antennas is much smaller than the number of receiving antennas.…”

Section: Introductionmentioning

confidence: 99%

3-D Millimeter Wave Fast Imaging Technique Based on 2-D SISO/MIMO Array

Lin,

Yuan,

et al. 2023

Remote Sensing

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In this article, a novel three-dimensional (3-D) imaging method based on the range decomposing algorithm (RDA) is proposed for millimeter wave imaging. We combined it with binomial theory and we derive the theoretical formulation of RDA applied to single-input–single-output (SISO)/multiple-input–multiple-output (MIMO) array; meanwhile, its computational complexity and computational error are analyzed. Compared to the classical Fourier algorithm, such as the range migration algorithm (RMA) and the phase shift migration (PSM), the proposed algorithm can replace the time-consuming interpolation and accumulation operations with reasonable approximations and transformations offering a more efficient approach, while maintaining the image quality. In addition, a method based on RDA which is applicable to the transformation between MIMO and SISO, is proposed to further enhance the processing efficiency. Proof-of-principle simulation using echo data collected from a large number of antennas, verifies that the proposed algorithm has higher efficiency. In order to better verify the feasibility of the proposed algorithm, a scanning prototype located in the millimeter wave band is designed. The experimental results of different targets demonstrate that the proposed algorithm achieves significantly higher reconstruction efficiency when compared to the traditional algorithms.

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Section: Introductionmentioning

confidence: 99%

3-D Millimeter Wave Fast Imaging Technique Based on 2-D SISO/MIMO Array

Lin,

Yuan,

et al. 2023

Remote Sensing

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“…Since the power of the emission source is high, the reflected radiation can obtain a clear image of the human body. Upon the introduction of the concept of Multiple-Input Multiple-Output (MIMO), SAR imagingbased security inspection systems are also in development, which greatly improves the imaging accuracy and rate [4][5][6][7][8][9]. Different from X-ray, active millimeter-wave security equipment does not cause harm to the human body [10].…”

Section: Introductionmentioning

confidence: 99%

A Suspicious Multi-Object Detection and Recognition Method for Millimeter Wave SAR Security Inspection Images Based on Multi-Path Extraction Network

Yuan

Zhang

et al. 2021

Remote Sensing

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There are several major challenges in detecting and recognizing multiple hidden objects from millimeter wave SAR security inspection images: inconsistent clarity of objects, similar objects, and complex background interference. To address these problems, a suspicious multi-object detection and recognition method based on the Multi-Path Extraction Network (MPEN) is proposed. In MPEN, You Only Look Once (YOLO) v3 is used as the base network, and then the Multi-Path Feature Pyramid (MPFP) module and modified residual block distribution are proposed. MPFP is designed to output the deep network feature layers separately. Then, to distinguish similar objects more easily, the residual block distribution is modified to improve the ability of the shallow network to capture details. To verify the effectiveness of the proposed method, the millimeter wave SAR images from the laboratory’s self-developed security inspection system are utilized in conducting research on multi-object detection and recognition. The detection rate (probability of detecting a target) and average false alarm (probability of error detection) rate of our method on the target are 94.6% and 14.6%, respectively. The mean Average Precision (mAP) of recognizing multi-object is 82.39%. Compared with YOLOv3, our method shows a better performance in detecting and recognizing similar targets.

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A novel BP algorithm‐based UWB MIMO ground‐penetrating imaging system

Xu,

Li,

Fan

et al. 2024

Micro & Optical Tech Letters

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Ultra‐wideband (UWB) multiple input multiple output (MIMO) radar has been widely used in detection systems due to its advantages, such as low cost and high data acquisition capability. The detection system is applied in various ground‐penetrating applications, including mine detection and earthquake rescue. In this paper, a novel UWB MIMO radar system based on step‐frequency continuous wave is designed for underground target detection. To improve the penetration depth and high‐range resolution, a new miniature Vivaldi antenna with a bandwidth of 1–3 GHz is designed and integrated into the ground‐penetrating imaging system. Furthermore, a multiscale weighted time‐domain back projection (BP) algorithm is proposed to suppress artifacts and reduce the computational complexity of the BP algorithm. The designed system is tested by detecting stationary targets. The experimental results agree well with the simulation. The reconstructed images show that the designed MIMO radar system can successfully image underground targets.

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Phase Shift Migration With SIMO Superposition for MIMO-Sidelooking Imaging at Terahertz Band

Cited by 10 publications

References 31 publications

3-D Millimeter Wave Fast Imaging Technique Based on 2-D SISO/MIMO Array

3-D Millimeter Wave Fast Imaging Technique Based on 2-D SISO/MIMO Array

A Suspicious Multi-Object Detection and Recognition Method for Millimeter Wave SAR Security Inspection Images Based on Multi-Path Extraction Network

A novel BP algorithm‐based UWB MIMO ground‐penetrating imaging system

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