Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Hu, Zhipeng; Zeng, Zhaofa; Wang, Kun; Feng, Weike; Zhang, Jianmin; Lu, Qi; Kang, Xiaoqian

doi:10.3390/rs11161867

Cited by 40 publications

(33 citation statements)

References 35 publications

(61 reference statements)

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“…Tar1(1, 2)). (24) Using Relations (19)(20)(21)(22)(23)(24), we get the center of gravity of real intersections of ellipses. In Figure 11, the points of an intersection of ellipses (real targets) are marked by crosses in circles, and the alignment line is color-magenta.…”

Section: Calculation Of the Center Of Gravity Of The Real Intersections Of Ellipsesmentioning

confidence: 99%

“…The center of gravity is marked with a cross in a green circle. The projection of the center of gravity point on the alignment line can be calculated using known relationships (21)(22)(23), e.g., applying the guideline k of the straight line. In cases where the lines are marked as line No.1.…”

Section: Calculation Of the Center Of Gravity Of The Real Intersections Of Ellipsesmentioning

confidence: 99%

“…At present, much attention is being paid the ultra-wideband (UWB) multi-input multi-output (MIMO) radar technique, which plays an important role in the application of through-wall detection due to its high resolution and efficient data recording. The authors of [23] propose providing UWB with a multi-input multi-output radar system for through-wall imaging using a cross correlation-based time domain back projection algorithm (TDBP). The results of the experiments presented in this work demonstrate that the proposed imaging methods in the range and in azimuth can effectively suppress artifacts and focus on various targets, and the designed MIMO radar system can detect and locate human targets behind the wall [23].…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [23] propose providing UWB with a multi-input multi-output radar system for through-wall imaging using a cross correlation-based time domain back projection algorithm (TDBP). The results of the experiments presented in this work demonstrate that the proposed imaging methods in the range and in azimuth can effectively suppress artifacts and focus on various targets, and the designed MIMO radar system can detect and locate human targets behind the wall [23]. The paper [24] presents a proposal of a MIMO radar system using the compensation method based on the reference channel, and a modified algorithm for displaying reverse Kirchhoff migration is proposed.…”

Section: Introductionmentioning

confidence: 99%

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The UWB Radar Application in the Aviation Security Systems

et al. 2021

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In the process of our research, we have identified new methods of processing ultra-wide-band (UWB) radar signals and possibilities of the UWB radar use in aviation security systems. We paid our main attention to finding new algorithms for tracking the movement of a person behind an obstacle using the UWB radar. Such UWB radar application is typical for tracking the movement of people behind obstacles in case of security forces intervention at an airport. In the research process, we used methods of analysis, synthesis, and measured data from the performed experiment. The main contribution of the paper is the development of new algorithms for locating the movement of a person behind an obstacle using a straight- line method in the case of using two independent UWB radar systems. The article did not examine the accuracy of determining the position of a person behind the obstacle. We found that when applying the Kalman filter after signal processing by the straight-line method, the trajectory of the person’s movement behind the obstacle was smoother. The results of processing the measurement signals of UWB radar by the linear method have shown that this method is applicable to tracking a person behind an obstacle and can be used in aviation security systems.

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Section: Calculation Of the Center Of Gravity Of The Real Intersections Of Ellipsesmentioning

confidence: 99%

Section: Calculation Of the Center Of Gravity Of The Real Intersections Of Ellipsesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The UWB Radar Application in the Aviation Security Systems

et al. 2021

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“…Therefore, the plane array is considered in this article, which can receive more abundant information about targets. The MIMO radar system adopts a stepped frequency continuous wave (SFCW) as the transmitted signal in this article [42]. Compared with the radar system with a narrow pulse signal, the SFCW signal is easier to realize high transmission power [43], with good bandwidth expansion and long operating distance, which is more conducive to throughwall detection.…”

mentioning

confidence: 99%

Through-Wall Human Pose Reconstruction via UWB MIMO Radar and 3D CNN

et al. 2021

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Human pose reconstruction has been a fundamental research in computer vision. However, existing pose reconstruction methods suffer from the problem of wall occlusion that cannot be solved by a traditional optical sensor. This article studies a novel human target pose reconstruction framework using low-frequency ultra-wideband (UWB) multiple-input multiple-output (MIMO) radar and a convolutional neural network (CNN), which is used to detect targets behind the wall. In the proposed framework, first, we use UWB MIMO radar to capture the human body information. Then, target detection and tracking are used to lock the target position, and the back-projection algorithm is adopted to construct three-dimensional (3D) images. Finally, we take the processed 3D image as input to reconstruct the 3D pose of the human target via the designed 3D CNN model. Field detection experiments and comparison results show that the proposed framework can achieve pose reconstruction of human targets behind a wall, which indicates that our research can make up for the shortcomings of optical sensors and significantly expands the application of the UWB MIMO radar system.

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An efficient FPGA‐based implementation of UWB radar system for through‐wall imaging

Saad

Maali

Azzaz

et al. 2023

Int J Communication

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Summary The work presented in this paper aims to develop a low‐cost ultra‐wideband (UWB) radar system that has the capability to image through the wall of a human target. The proposed radar system relies heavily on a field‐programmable gate array (FPGA) platform. The Xilinx FPGA Kintex‐7 (KC705) board is employed to integrate the main functionalities of the radar system, such as the generation and acquisition of a UWB signal. The generated signal is a monocycle signal, which has an ultra‐wide bandwidth. Due to the UWB nature of this signal, the radar system achieves better penetration ability, as well as high imaging resolution. However, the major challenge of a UWB radar system lies in the stage of digitization, as it requires a high sampling rate analog‐to‐digital converter (ADC). In fact, such a chip is very expensive. Hence, to reach a high sampling resolution using a low‐cost and low‐speed ADC, an efficient sampling strategy is implemented. In contrast to other UWB sampling methods, which require a hardware delay line chip, the new sampling scheme depends only on the FPGA firmware to realize a combination of real‐time and equivalent‐time sampling, which provides better jitter performance. Finally, to demonstrate the imaging capability, experimental tests are conducted in an indoor environment while human targets are located in different places. The measurement results revealed that the proposed radar system has the ability to provide 2D images that accurately determine the location of the target.

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Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging

Cited by 40 publications

References 35 publications

The UWB Radar Application in the Aviation Security Systems

The UWB Radar Application in the Aviation Security Systems

Through-Wall Human Pose Reconstruction via UWB MIMO Radar and 3D CNN

An efficient FPGA‐based implementation of UWB radar system for through‐wall imaging

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