Assessment of Compressive Sensing 2 × 2 MIMO Antenna Design for Millimeter-Wave Radar Image Enhancement

Rojhani, Neda; Passafiume, Marco; Lucarelli, Matteo; Collodi, Giovanni; Cidronali, Alessandro

doi:10.3390/electronics9040624

Cited by 14 publications

(9 citation statements)

References 21 publications

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“…, , x y z ρ , which affects the backscatter frequency response (channel transfer function) according to (4). According to the geometry of the system in Fig.…”

Section: Image Reconstructionmentioning

confidence: 99%

“…To reconstruct a three-dimensional (3D) image of a scene/target, a 2D aperture must be synthesized. This usually requires a very large number of antenna elements to satisfy the Nyquist criterion [4]. The use of sparse aperiodic phased arrays [5,6] and multistatic multiple-input multiple-output (MIMO) arrays [7,8] are two solutions provided for this issue.…”

Section: Introductionmentioning

confidence: 99%

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MIMO Coded Generalized Reduced Dimension Fourier Algorithm for 3-D Microwave Imaging

Molaei

Kumar

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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In this paper, to accelerate data acquisition and image reconstruction procedures in a multistatic short-range microwave imaging scenario, an orthogonal coding approach with Fourier domain processing is presented. First, a special twodimensional (2D) multiple-input multiple-output (MIMO) structure is introduced to fully electronically synthesize the 2D aperture. Then, the model of the transmitted and received signals by a MIMO stepped-frequency-modulated radar is presented, with special considerations about orthogonal, balanced and optimal sequences. On the receiver side, the backscatter frequency response extraction process is formulated with the aim of obtaining individual information of all channels. Finally, based on the introduced model, a fast Fourier-based algorithm with reduced dimensions, named MIMO coded generalized reduced dimension Fourier (CGRDF), is mathematically derived. It includes extracting phase and amplitude compensators with the aim of mapping 4D to 2D spatial data, transferring the backscatter transfer function from the spatial domain to the wavenumber domain, extracting the smoothing filter, compensating the curvature of the wavefront of all scatterers, extracting the reflectivity function and an additional range compensator. The results of numerical simulations show the satisfactory and reliable performance of the proposed approach in terms of the information retrieval process and processing speed.

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“…, , x y z ρ , which affects the backscatter frequency response (channel transfer function) according to (4). According to the geometry of the system in Fig.…”

Section: Image Reconstructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MIMO Coded Generalized Reduced Dimension Fourier Algorithm for 3-D Microwave Imaging

Molaei

Kumar

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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“…The radar platform adopted for the experimental validation of the model described by (11) operates in the millimeter-wave range and adopts the multi-input multi-output antenna configuration [25,28].…”

Section: Experimental Fmcw Radar Measurement Set-upmentioning

confidence: 99%

Modeling Small UAV Micro-Doppler Signature Using Millimeter-Wave FMCW Radar

et al. 2021

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With the increase in small unmanned aerial vehicle (UAV) applications in several technology areas, detection and small UAVs classification have become of interest. To cope with small radar cross-sections (RCSs), slow-flying speeds, and low flying altitudes, the micro-Doppler signature provides some of the most distinctive information to identify and classify targets in many radar systems. In this paper, we introduce an effective model for the micro-Doppler effect that is suitable for frequency-modulated continuous-wave (FMCW) radar applications, and exploit it to investigate UAV signatures. The latter depends on the number of UAV motors, which are considered vibrational sources, and their rotation speed. To demonstrate the reliability of the proposed model, it is used to build simulated FMCW radar images, which are compared with experimental data acquired by a 77 GHz FMCW multiple-input multiple-output (MIMO) cost-effective automotive radar platform. The experimental results confirm the model’s ability to estimate the class of the UAV, namely its number of motors, in different operative scenarios. In addition, the experimental results show that the motors rotation speed does not imprint a significant signature on the classification of the UAV; thus, the estimation of the number of motors represents the only viable parameter for small UAV classification using the micro-Doppler effect.

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“…The indoor human localization and life activity monitoring is proposed in [7]. mmWave radars are explored in several UAV applications [8][9][10][11][12][13][14][15]. However, radars for UAV ground station monitoring and control application is still challenging, as it needs to localize and be able to track the small dynamic UAVs in a wide field of view (theoretically 360 degrees field of view).…”

Section: Introductionmentioning

confidence: 99%

“…The number of receiving antennas, on the other hand, has a large impact on the accuracy and resolution of the targets' AoA. The combination of compressive sensing and multiple input and multiple out (MIMO) was shown to improve the angular resolution [12]. The greater the number of receiving antennas, the better the performance.…”

Section: Introductionmentioning

confidence: 99%

Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar

et al. 2021

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mmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the limited number of receivers. In this paper, we present a novel AoA estimation technique, using mmWave FMCW radars operating in the frequency range 77–81 GHz by utilizing the mechanical rotation. Rotating the radar also increases the field of view in both azimuth and elevation. The proposed method estimates the AoA of the targets, using only a single transmitter and receiver. The measurements are carried out in a variety of practical scenarios including pedestrians, a car, and an UAV, also known as a drone. With measured data, range-angle maps are created, and morphological operators are used to estimate the AoA of the targets. We also process radar range-angle images for improved visual representation. The proposed method will be extremely beneficial for practical ground stations, traffic control and monitoring frameworks for both on-ground and airborne vehicles.

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Assessment of Compressive Sensing 2 × 2 MIMO Antenna Design for Millimeter-Wave Radar Image Enhancement

Cited by 14 publications

References 21 publications

MIMO Coded Generalized Reduced Dimension Fourier Algorithm for 3-D Microwave Imaging

MIMO Coded Generalized Reduced Dimension Fourier Algorithm for 3-D Microwave Imaging

Modeling Small UAV Micro-Doppler Signature Using Millimeter-Wave FMCW Radar

Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar

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