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49th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

作者： Barnabe, Carre Adrien, Chopard Jean-Paul, Guillet Pierre, Gellie Lytid SAS Talence France IMS Lab Talence France Lytid SAS Montrouge France

ISBN: (纸本)9798350370331;9798350370324

A 3D close range Synthetic Aperture Radar system based on the range migration algorithm and working with an affordable and compact Si-Ge Frequency Modulated Continuous Wave radar unit operating at 120 GHz with 19.5 GHz bandwidth is presented. A new method for enhancing lateral resolution combined with a normalization procedure is proposed leading to 0.33 central wavelength resolution. Lateral resolution is compared to a focusing lens system. An object of interest is displayed to reveal Synthetic Aperture Radar advantages in term of lateral resolution and depth of field for Non Destructive Testing and inspection.

关键词： Synthetic Aperture Radar range migration algorithm Frequency Modulated Continuous Wave Non Destructive Testing Si-Ge radar

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CMC-RMA: Compressed Multi-Coset range migration algorithm for MIMO-SAR

CMC-RMA: Compressed Multi-Coset Range Migration Algorithm fo...

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IEEE Radar Conference (RadarConf)

作者： Gigie, Andrew Kanth, R. Krishna Kumar, A. Anil Chakravarty, Tapas Pal, Arpan TCS Res Bangalore Karnataka India

ISBN: (纸本)9798350329216;9798350329209

This paper introduces the Compressed Multi-Coset range migration algorithm (CMC-RMA) for near-field microwave imaging. CMC-RMA reduces the SAR acquisition time by compressed scanning, wherein a MIMO radar captures measurements by intermittently skipping blocks during SAR acquisition. The reconstruction of the microwave image typically involves utilizing the 2D Fourier Transform (FT) of the measurements. However, this process is impeded by the compressed scanning mechanism. Thus, to estimate the 2D FT, we employ a multi-coset framework making use of intermittent scanning and formulate a compressed sensing-based framework by leveraging block-sparsity constraints. Classical RMA is then employed on the estimated 2D FT to reconstruct the microwave image of the scene. Subsequently, a denoising convolutional neural network (DnCNN) is used to enhance and denoise this reconstructed microwave image to obtain the high-resolution image of the scene. Comparative analysis with existing methods using real experimental data reveals a significant 4dB increase in PSNR for identical compression factors, confirming the effectiveness of the proposed approach.

关键词： Microwave imaging Synthetic Aperture Radar MIMO-SAR Multi-coset sampling range migration algorithm

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MC-RMA: Multi-Coset range migration algorithm for near-field MIMO-SAR Imaging

MC-RMA: Multi-Coset Range Migration Algorithm for near-field...

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IEEE Sensors Conference

作者： Gigie, Andrew Kanth, R. Krishna Kumar, A. Anil Chakravarty, Tapas Pal, Arpan TCS Res Embedded Devices & Intelligent Syst Mumbai Maharashtra India

ISBN: (纸本)9798350303872

This paper addresses the important problem of near field MIMO-SAR imaging with non-uniform MIMO radar. We propose a new approach referred as Multi-Coset range migration algorithm (MC-RMA), which leverages the well known periodic block scanning of MIMO radars in RMA to create uniformly spaced multiple sub-arrays. These sub-arrays are formed by combining corresponding elements across this periodic block scan, and the elements in these sub-arrays are uniformly spaced despite the non-uniformity of the MIMO radar. By visualizing them as decimated and translated versions of a larger array, a closed-form expression connecting their Fourier transforms (FT) and the FT of the larger non-uniform array is derived. Unlike existing methods, MC-RMA requires computation of smaller dimensional FFTs making it more deployment friendly. Further, experimental results are presented which demonstrate a significant improvement in image reconstruction with reduced computation compared to state-of-the-art methods.

关键词： MIMO-SAR Non-uniform array Near-field radar Imaging range migration algorithm Multi-coset sampling

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A Survey on range migration algorithm for Near‐field Imaging of MIMO Millimeter Wave Radar

World Scientific Research Journal

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World Scientific Research Journal 2024年第1期10卷 106-113页

作者： Yongsheng Liu Tao Chen Yu Jiang Yanbo Zhang Zhongmin Wang

With the continuous development of millimeter‐wave radar component integration technology, millimeter‐wave radar near‐field imaging technology has been improved and widely applied in security inspection, through‐wall detection and other scenarios. This paper first introduces the research background and significance of multi‐input multi‐output (MIMO) millimeter‐wave radar near‐field imaging. Secondly, it summarizes the domestic and foreign development status of millimeter‐wave radar and frequency domain imaging algorithms. Then, it introduces the imaging principle of MIMO millimeter‐wave radar and deduces the imaging algorithm process of MIMO millimeter‐ wave radar based on range migration algorithm. Finally, it summarizes the existing problems of range migration algorithm and outlooks the future development.

关键词： Multi‐Input Multi‐Output Millimeter wave radar Near‐field imaging range migration algorithm

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Knowledge-Aided 2-D Autofocus for Spotlight SAR range migration algorithm Imagery

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2018年第9期56卷 5458-5470页

作者： Mao, Xinhua He, Xueli Li, Danqi Nanjing Univ Aeronaut & Astronaut Dept Elect Engn Nanjing 211106 Jiangsu Peoples R China

With continuous improvement of the synthetic aperture radar (SAR) resolution, the 2-D defocus effect in SAR image resulting from uncompensated motion error has made autofocus become a new challenging problem. Conventional 2-D autofocus approaches assume that the 2-D phase error is absolutely unknown and estimate them directly. Due to high dimensionality of the unknown parameters, these approaches often suffer from high computational burden and low estimate accuracy. In this paper, we analyze the effect of range migration algorithm (RMA) processing on the 2-D echo phase, and reveal the analytical structure of the residual 2-D phase error in RMA imagery. Then, by exploiting the derived prior knowledge on the phase error structure, an accurate and efficient 2-D autofocus approach is proposed. In the new method, only 1-D error, e.g., azimuth phase error, or residual range cell migration, is required to be estimated directly, while the 2-D phase error is computed directly from the estimated 1-D error by exploiting the analytical structure of the 2-D phase error. The experimental results clearly demonstrate the effectiveness and robustness of the proposed method.

关键词： Autofocus range migration algorithm synthetic aperture radar

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range migration algorithm for Near-field SIMO Array imaging 30

Range Migration Algorithm for Near-field SIMO Array imaging

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Asia-Pacific Microwave Conference (APMC)

作者： Zhu, Rongqiang Zhou, Jianxiong Fu, Qiang Natl Univ Def Technol ATR Lab Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9784902339451

In this paper, a range migration algorithm for single-input multiple-output array imaging is presented. Similar to the range migration algorithm in synthetic aperture radar imaging, the proposed method first transforms the measurement data into the wavenumber domain to interpolate. Due to the multistatic configuration, the interpolation used here is different to that in synthetic aperture radar. After interpolation, the imaging result is obtained by accumulation and inverse Fourier transform. Since the curvature of the wavefront is completely compensated and the Fourier transform based imaging scheme is utilized, the method can be applied under the near-field condition and has high imaging efficiency. The experiment data validate its performance.

关键词： range migration algorithm single-input multiple-output array near-field imaging Fourier transform

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Three-dimensional bistatic array imaging using range migration algorithm

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ELECTRONICS LETTERS 2017年第3期53卷 193-194页

作者： Guo, Qijia Zhang, Xiaoxuan Chang, Tianying Cui, Hong-Liang Tian, Xianzhong Jilin Univ Coll Instrumentat & Elect Engn Changchun Jilin Peoples R China Shandong Acad Sci Inst Automat Jinan Shandong Peoples R China

Millimetre wave imaging systems are widely used in many fields, such as non-destructive testing, security screening and medical imaging. For security-related personnel screening, the geometries of planar and cylindrical-scanning antenna arrays are often adopted. A planar array imager is capable of acquiring a three-dimensional image in real time, but the information on the back side of the object will be lost. A cylindrical scanning imager is well suited for constructing an image in full 360 degrees directions, what is lost is the time that it takes to complete a full scan. Regardless, mechanical scanning geometry is not always the best approach for real-time systems. In this letter, an imaging scenario is proposed, which is composed of two parallel arrays facing each other. Multiple input multiple output technology is applied to the pair of arrays. range migration algorithm is adapted specially for this scenario, through which nearly 360 degrees-images of high quality can be constructed in real time when an object is placed between the two arrays.

关键词： millimetre wave imaging millimetre wave antenna arrays planar antenna arrays scanning antennas three-dimensional bistatic array imaging range migration algorithm millimetre wave imaging systems security-related personnel screening planar antenna arrays cylindrical-scanning antenna arrays planar array imager three-dimensional image acquisition cylindrical scanning imager mechanical scanning geometry real-time systems parallel arrays multiple-input multiple-output technology

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Dimension-Factorized range migration algorithm for Regularly Distributed Array Imaging

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SENSORS 2017年第11期17卷 2549-2549页

作者： Guo, Qijia Wang, Jie Chang, Tianying Cui, Hong-Liang Jilin Univ Coll Instrumentat & Elect Engn Changchun 130061 Jilin Peoples R China Shandong Acad Sci Inst Automat Jinan 250014 Shandong Peoples R China Chinese Acad Sci Chongqing Inst Green & Intelligent Technol Chongqing 400714 Peoples R China

The two-dimensional planar MIMO array is a popular approach for millimeter wave imaging applications. As a promising practical alternative, sparse MIMO arrays have been devised to reduce the number of antenna elements and transmitting/receiving channels with predictable and acceptable loss in image quality. In this paper, a high precision three-dimensional imaging algorithm is proposed for MIMO arrays of the regularly distributed type, especially the sparse varieties. Termed the Dimension-Factorized range migration algorithm, the new imaging approach factorizes the conventional MIMO range migration algorithm into multiple operations across the sparse dimensions. The thinner the sparse dimensions of the array, the more efficient the new algorithm will be. Advantages of the proposed approach are demonstrated by comparison with the conventional MIMO range migration algorithm and its non-uniform fast Fourier transform based variant in terms of all the important characteristics of the approaches, especially the anti-noise capability. The computation cost is analyzed as well to evaluate the efficiency quantitatively.

关键词： dimension-factorized range migration algorithm MIMO regularly distributed array imaging

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Focusing Bistatic FMCW SAR Signal by range migration algorithm Based on Fresnel Approximation

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SENSORS 2015年第12期15卷 32123-32137页

作者： Li, Yake O'Young, Siu Mem Univ Newfoundland Fac Engn & Appl Sci St John NF A1C 5S7 Canada

Frequency modulated continuous wave (FMCW) technique has recently been employed by synthetic aperture radar (SAR) to decrease the radar cost and volume. However, the operation range is limited by the direct energy leakage from the transmitting channel to receiving channel due to the operation principle of FMCW technique. Bistatic configuration is an efficient way to increase the isolation between the transmitter and receiver, which could significantly increase the radar standoff range. A bistatic FMCW SAR spectrum model is proposed by using the Fresnel approximation in this paper. This model is similar to that of a monostatic FMCW SAR spectrum, which allows the existing imaging algorithms to be used on bistatic image processing. Based on the new model and the characteristics of FMCW signal, a modified range migration algorithm (RMA) for FMCW SAR is proposed to focus the image, which requires less memory and computational load than the traditional RMA. Point-target simulation is used to verify the proposed spectral model and real data processing verified the effectiveness of the proposed RMA.

关键词： bistatic FMCW SAR SAR signal spectrum range migration algorithm

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Refocusing of Ground Moving Targets for range migration algorithm in FMCW SAR 15

Refocusing of Ground Moving Targets for Range Migration Algo...

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Conference on SAR Image Analysis, Modeling, and Techniques XV

作者： Cheng, Pu Xin, Qin Wan, Jianwei Wang, Zhan Natl Univ Def Technol Coll Elect Sci & Engn Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781628418521

Frequency-Modulated Continuous-Wave Synthetic Aperture Radar (FMCW SAR) is a promising compact remote imaging sensor. Its refocusing of ground moving targets is discussed in this paper in order to provide FMCW SAR system with simultaneous moving targets indication application. A moving target indication method by focusing is derived and presented. This method is derived based on range migration algorithm taking into account the moving target range cell walk. To discriminate the target optimally, the concept of relative motion is utilized. By searching the relative velocity, the moving target can be focused accurately like a fixed target focused in squint mode. The maximum output corresponds to the best matched parameters. The matched targets are detected and the others suppressed.

关键词： Frequency Modulated Continuous Wave Synthetic Aperture Radar range migration algorithm Moving Targets FMCW SAR GMTI RMA

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