Superwideband Dual Notched Band Square Monopole MIMO Antenna for UWB/X/Ku Band Wireless Applications

Kumar, Naresh; Kumar, Pradeep; Sharma, Manish

doi:10.1109/incap47789.2019.9134542

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…different MIMO diversity performance parameters. Compared with [3], [7], [26], [28], [30], [31], [40]- [42], the proposed antenna has more ports. In terms of antenna size, the proposed antenna is more compact than [12], [39] which have same number of ports.…”

Section: B Simulated and Measured Resultsmentioning

confidence: 99%

“…The minimum isolation of 15 dB and maximum gain of 5 dBi were achieved by using reduced ground plane and stubs at the bottom ground. Also, in [30], inverted pair of L-shaped stubs placed in the ground of dual patched wideband MIMO antenna are used to obtain better isolation of about 20 dB with peak gain of 5.32 dBi. The main disadvantage of such system is the complexity of design and low realized gain.…”

Section: Introductionmentioning

confidence: 99%

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SIGW Based MIMO Antenna for Satellite Down-Link Applications

et al. 2022

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In this paper, a 4-port multi-input multi-output (MIMO) antenna based on substrate integrated gap wave guide (SIGW) is presented for down-link satellite applications. The proposed MIMO antenna consists of four rectangular-shaped radiating slots, which are fed via SIGW to minimize dispersion and insertion loss. Firstly, single antenna element (reference antenna) is designed to have impedance matching and stable radiation pattern over the bandwidth 13.4-13.65 GHz. Afterward, different antenna configurations are studied to combine four identical elements of the reference one for the sake of minimizing mutual coupling between them. In this work, the edge-to-edge separation between the antenna elements for orthogonal and opposite orientations are 9.3mm and 17.3mm, respectively. The mutual coupling between antenna elements is suppressed by etching the upper ground in the region between the antenna elements. Moreover, further optimization is carried out by changing the dimensions of the etched slot to reach higher isolation between radiating slots for better MIMO diversity performance. With this approach, the realized gain is increased by 3-dBi and the maximum mutual coupling achieved at 13.5 GHz between port (1,2) and port (1,3) are -63 dB and -78 dB, respectively with isolation enhancement of 38 dB between port (1,2) and 48 dB between port (1,3). Both simulated and measured results indicate that the proposed antenna has a bandwidth of 13.3-13.8 GHz, with a high isolation greater than 40 dB. Furthermore, the realized antenna gain is around 9-dBi with radiation efficiency of 86%. In addition, the designed MIMO antenna offers excellent radiation characteristics and stable gain over the whole operating band. To explore the diversity of the MIMO system the envelope correlation coefficient (ECC), multiplexing efficiency (ME), diversity gain (DG), channel capacity loss (CCL) and total active reflection coefficient (TARC) are studied. Finally, good consistency between simulation and measured outcomes is obtained confirming the validity of the MIMO antenna for real life satellite application systems.INDEX TERMS MIMO antenna, SIGW, satellite downlink applications.

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Section: B Simulated and Measured Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SIGW Based MIMO Antenna for Satellite Down-Link Applications

et al. 2022

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“…Segmentation is the division of an image into parts based on certain features that characterize these parts or the whole image. Image segmentation is an important stage of image processing, as it allows meaningful image analysis and information extraction [5,6]. Image segmentation can be done in different ways.…”

Section: Introductionmentioning

confidence: 99%

“…Models of threshold limitation, morphological gradient, and region expansion models have become widespread for image segmentation problems [5,6]. Segmentation algorithms can be noted, such as: the WaterShed (watershed) segmentation algorithm for a small number of local minima in the image, but in the case of a large number of them, excessive division into segments occurs; the MeanShift (shift) segmentation algorithm, which groups objects with similar characteristics.…”

Section: Introductionmentioning

confidence: 99%

Image segmentation method of rail head defects and area measurement of selected segments

Tverdomed,

Gorban,

Kushmar

2024

MATEC Web Conf.

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The operation safety of railway transport, which is the most important economic and social factor, is largely determined by the technical condition of the rail track and measures to maintain the quality of its track management system. One of the system elements for ensuring the accident-free operation of the track is the technical diagnosis of rails using a method complex of non-destructive control of rails, such as acoustic (ultrasonic), magnetic, combined, etc., and monitoring of the track using methods of measuring the geometry of the rail track and its disturbances. When the wheel interacts with the rail, especially on high-speed and load-stressed sections, defects and damage inevitably occur in the rails. A rather large share of such defects are on the rolling surface of the rail head. Formed defects develop rapidly, which seriously complicates the safety of train traffic. Therefore, accurate and quick detection of defects on the rolling surface of the rail head is very important. However, it is quite difficult to detect defects on the rolling surface of the rail by the acoustic (ultrasound) method due to the violation of tight contact between the rolling surface of the rail head and the piezoelectric transducer. In this case, it is quite convenient to detect surface defects of the rail head using video control. The article provides a comparative analysis of segmentation methods. There has been presented the method of image segmentation of main rail defects based on general contour preparation and parallel-hierarchical (PH) transformation using their classification. The parallel-hierarchical transformation method allows to increase the segmentation accuracy of individual areas in the original image compared to similar ones. The algorithm of pyramidal generalized-contour preparation and the criterion system allows, by calculating the threshold for each level of the gray scale, to present the study of the image with the corresponding contour preparations at the segmentation level. Modeling of recursive generalized-contour preparation and PH transformation method for image segmentation problem of rail head defects shows that, compared to the segmentation method based on the increase of areas, the accuracy of image segmentation is better. A modified method of calculating the image contour area based on the coding of lines forming the boundaries of the black and white areas of the two-gradation image has been given.

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