Mutual Coupling Reduction in Microstrip Array Antenna by Employing Cut Side Patches and Ebg Structures

Mohamadzade, Bahare; Lalbakhsh, Ali; Simorangkir, Roy B. V. B.; Rezaee, Alireza; Hashmi, Raheel M.

doi:10.2528/pierm19100703

Cited by 39 publications

(26 citation statements)

References 20 publications

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“…For the expected SR output, σ x , σ y , and σ z are set as 0.4 cm. According to (11), the resolutions in all three dimensions can be calculated as 0.47 cm, so the expected SR ratio is about 2.5 times in three directions.…”

Section: Simution and Training Detailsmentioning

confidence: 99%

“…Nevertheless, the coupling problem of antennas array cannot be ignored in real-world radar imaging [10], which is straightforwardly related to the beamforming of MIMO signal. Mutual coupling reduction method for patch arrays was designed and achieved around 22.7-dB reduction [11]. A wideband linear array antenna based on the new reflector slot-strip-foam-inverted patch antennas was validated to improve the bandwidth gain effectively [12].…”

Section: Introductionmentioning

confidence: 99%

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Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN

et al. 2021

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High-quality three-dimensional (3-D) radar imaging is one of the challenging problems in radar imaging enhancement. The existing sparsity regularizations are limited to the heavy computational burden and time-consuming iteration operation. Compared with the conventional sparsity regularizations, the super-resolution (SR) imaging methods based on convolution neural network (CNN) can promote imaging time and achieve more accuracy. However, they are confined to 2-D space and model training under small dataset is not competently considered. To solve these problem, a fast and high-quality 3-D terahertz radar imaging method based on lightweight super-resolution CNN (SR-CNN) is proposed in this paper. First, an original 3-D radar echo model is presented and the expected SR model is derived by the given imaging geometry. Second, the SR imaging method based on lightweight SR-CNN is proposed to improve the image quality and speed up the imaging time. Furthermore, the resolution characteristics among spectrum estimation, sparsity regularization and SR-CNN are analyzed by the point spread function (PSF). Finally, electromagnetic computation simulations are carried out to validate the effectiveness of the proposed method in terms of image quality. The robustness against noise and the stability under small are demonstrate by ablation experiments.

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Section: Simution and Training Detailsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN

et al. 2021

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“…To overcome the problem of mutual coupling, various techniques have been proposed to eliminate or reduce the effect of coupling in antenna arrays. Most of these techniques are designed to reduce coupling either in E-plane [9][10][11][12][13][14][15][16] or in H-plane orientation [17][18][19]. The techniques that work well in E-plane orientation do not work in H-plane.…”

Section: Introductionmentioning

confidence: 99%

Mutual Coupling Reduction in Patch Antenna Array Using Combination of Shorting Pins and Metallic Walls

Tunio¹,

Mahé²,

Razban-Haghighi³

et al. 2021

PIER C

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A method of loaded patch antennas with shorting pins and erected walls in between patch antenna arrays is introduced to reduce surface wave and free space wave coupling in both E and Hplanes. This simple technique works equally well in both orientations by reducing coupling up to −19 dB and −15 dB (measured value) in E-plane and H-plane, respectively, as compared to a conventional patch antenna array. The scattering parameters are studied, and conclusions are made on amounts of mutually coupled power and the bandwidth of the rejection band (S 12 ). A parametric study of the variation in the level of mutual coupling with respect to height of the wall has been carried out in both E and H-planes. The simulation results are well verified through measurements.

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“…A uniplanar fractal model EBG (UPF-EBG) structure [2] is placed between two antennas separated by 0.35λ 0 distance, and a uniplanar EBG is placed between the circular-shaped radiating patches [3] to reduce mutual coupling. Similarly, two Minkowski fractal models with four EBG elements placed between them is realized in [4]. However, the use of the EBG structure increases the overall antenna profile.…”

Section: Introductionmentioning

confidence: 99%

A Compact Mimo Antenna With Electromagnetic Bandgap Structure for Isolation Enhancement

Ravichandran¹,

Somasundaram²,

Rajkumar³

2021

PIER C

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In this paper, a compact MIMO antenna with an electromagnetic bandgap structure is proposed for isolation enhancement. The proposed antenna design is coupled with an electromagnetic bandgap (EBG) structure to minimize mutual coupling between the antenna elements and to enhance the performance of the MIMO antenna configuration. The antenna is fabricated on an FR4 substrate having a dimension of (27.9 × 38 × 1.6 mm 3 ). The EBG structure is analyzed, and the effect on antenna performance is studied using parametric analysis. The antenna is fabricated, and the measured results are compared with simulated ones. The antenna achieves a reduction in transmission coefficient |S 21 | ≥ 16 dB for simulated and |S 21 | ≥ 25 dB for measured results, and attains the minimum ECC of 0.09 which is very close to the ideal value of zero and hence makes it a better choice for MIMO applications.

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Mutual Coupling Reduction in Microstrip Array Antenna by Employing Cut Side Patches and Ebg Structures

Cited by 39 publications

References 20 publications

Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN

Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN

Mutual Coupling Reduction in Patch Antenna Array Using Combination of Shorting Pins and Metallic Walls

A Compact Mimo Antenna With Electromagnetic Bandgap Structure for Isolation Enhancement

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