Antenna Array for Ku-Band MIMO GB-SAR

El-Hameed, Anwer S. Abd; Suzuki, Motoyuki

doi:10.1109/access.2021.3058004

Cited by 9 publications

(11 citation statements)

References 25 publications

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“…Recently, the concept of MIMO has been presented for ground-based synthetic aperture radars (GB-SARs) and automotive radars [ 5 , 20 , 25 , 26 ]. The idea of MIMO radar systems, which is presented in Section 5 , is based on transmitting multiple signals from multiple Tx antennas which are received by all Rx antennas to synthesise a relatively large antenna aperture.…”

Section: Mimo Concept Of Radarmentioning

confidence: 99%

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An Improved Performance Radar Sensor for K-Band Automotive Radars

El-Hameed

Ouf

Elboushi

et al. 2023

Sensors

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This paper presents a new radar sensor configuration of a planar grid antenna array (PGAA) for automotive ultra-wideband (UWB) radar applications. For system realisation, the MIMO concept is adopted. The proposed antenna is designed to operate over the 24 GHz frequency band. It is based on split-ring resonator (SRR) elements to enhance the operating bandwidth and increase the antenna gain, leading to a better-performing radar system. The PGAA consists of thirty-one radiating elements, in which each element excitation is obtained using a common transmission line centre fed by a 50 Ω coaxial probe. By introducing a superstrate dielectric layer at a distance of λ/2 from the top of the antenna array, the PGAA gain and impedance bandwidth are further improved. The gain is improved by 2.7 dB to reach 16.5 dBi at 24 GHz, and the impedance bandwidth is enhanced to 9.3 GHz (37.7%). The measured impedance bandwidth of the proposed antenna array ranges from 20 GHz to 29.3 GHz for a reflection coefficient (S11) of less than −10 dB. The proposed antenna is validated for automotive applications.

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Section: Mimo Concept Of Radarmentioning

confidence: 99%

“…One of the most important components of any wireless system is the microstrip antenna [ 5 , 6 ]. For use in automotive radar applications, Kraus suggested the GAA in 1964 [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

An Improved Performance Radar Sensor for K-Band Automotive Radars

El-Hameed

Ouf

Elboushi

et al. 2023

Sensors

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“…Design of modern antenna systems faces numerous challenges, partially related to the increase of performance requirements, which may be attributed to emerging application areas such as internet of things 7 , 8 , 5G wireless communications 9 , 10 , medical imaging 11 , remote sensing 12 , as well as wearable 13 or implantable devices 14 . Furthermore, the designers have to address the demands for additional functionalities, including multi-band 15 or MIMO operation 16 , circular polarization 17 , polarization/pattern diversity 18 , and band-notch operation 19 . Physical space limitations and the resulting miniaturization trends constitute yet another challenge 20 , 21 .…”

Section: Introductionmentioning

confidence: 99%

Reduced-cost two-level surrogate antenna modeling using domain confinement and response features

Pietrenko‐Dabrowska

Kozieł

Ullah

2022

Sci Rep

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Electromagnetic (EM) simulation tools have become indispensable in the design of contemporary antennas. Still, the major setback of EM-driven design is the associated computational overhead. This is because a single full-wave simulation may take from dozens of seconds up to several hours, thus, the cost of solving design tasks that involve multiple EM analyses may turn unmanageable. This is where faster system representations (surrogates) come into play. Replacing expensive EM-based evaluations by cheap yet accurate metamodels seems to be an attractive solution. Still, in antenna design, application of surrogate models is hindered by the curse of dimensionality. A practical workaround has been offered by the recently reported reference-design-free constrained modeling techniques that restrict the metamodel domain to the parameter space region encompassing high-quality designs. Therein, the domain is established using only a handful of EM-simulations. This paper proposes a novel modeling technique, which incorporates the response feature technology into the constrained modeling framework. Our methodology allows for rendering accurate surrogates using exceptionally small training data sets, at the expense of reducing the generality of the modeling procedure to antennas that exhibit consistent shape of input characteristics. The proposed technique can be employed in other fields that employ costly simulation models (e.g., mechanical or aerospace engineering).

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“…In recent years, multiple-input multiple-output (MIMO) technology [14] has gradually been applied to GB-SAR systems [15][16][17]. MIMO radars can achieve larger synthetic aperture using fewer transceiver array elements [18][19][20]. Generally, MIMO system implementation methods are divided into three types, including waveform diversity (WD), frequency diversity (FD) and time division multiplexing (TDM) [21].…”

Section: Introductionmentioning

confidence: 99%

“…The implementation of this method is easier than WD and FD because it avoids the problem of waveform and frequency separation. The majority of MIMO radar systems operate in TDM mode, for example, the MIMO-based non-collinear array system [24], MELISSA system [25], 77G Millimeter wave system [26], and the Ku-Band MIMO GB-SAR system [19]. TDM-MIMO (referred to as MIMO except for special instructions) GB-SAR can compensate for the disadvantages of low data acquisition rate and motion error [27] in mechanical scanning GB-SAR.…”

Section: Introductionmentioning

confidence: 99%

A Novel GB-SAR System Based on TD-MIMO for High-Precision Bridge Vibration Monitoring

et al. 2022

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Ground-based synthetic aperture radar (GB-SAR) is a highly effective technique that is widely used in landslide and bridge deformation monitoring. GB-SAR based on multiple input multiple output (MIMO) technology can achieve high accuracy and real-time detection performance. In this paper, a novel method is proposed to design transmitting and receiving array elements, which increases the minimum spacing of the antenna by sacrificing several equivalent phase centers. In MIMO arrays, the minimum antenna spacing in the azimuth direction is doubled, which increases the variety of antenna options for this design. To improve the accuracy of the system, a new method is proposed to estimate channel phase errors, amplitude errors, and position errors. The position error is decomposed into three directions with one compensated by the phase error and two estimated by the strong point. Finally, we validate the accuracy of the system and our error estimation method through simulations and experiments. The results prove that the GB-SAR system performs well in bridge deformation and vibration monitoring with the proposed method.

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Antenna Array for Ku-Band MIMO GB-SAR

Cited by 9 publications

References 25 publications

An Improved Performance Radar Sensor for K-Band Automotive Radars

An Improved Performance Radar Sensor for K-Band Automotive Radars

Reduced-cost two-level surrogate antenna modeling using domain confinement and response features

A Novel GB-SAR System Based on TD-MIMO for High-Precision Bridge Vibration Monitoring

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