Decoupling network comprising transmission lines and bridge resistance for two-element array antenna

2012 ◽  
Author(s):  
Shumo Li ◽  
Naoki Honma ◽  
Naoya Yamaki
Keyword(s):  
Transmission Lines ◽  
Array Antenna ◽  
Element Array ◽  
Bridge Resistance

A Frequency- and Pattern-Reconfigurable Two-Element Array Antenna

2018 ◽  
Vol 17 (4) ◽  
pp. 617-620 ◽  
Author(s):  
Siti Nailah Mastura Zainarry ◽  
Nghia Nguyen-Trong ◽  
Christophe Fumeaux
Keyword(s):  
Array Antenna ◽  
Element Array

scholarly journals Four-Element Microstrip Patch Array Antenna with Corporate-Series Feed Network for 5G Communication

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Janam Maharjan ◽  
Dong-You Choi
Keyword(s):  
Microstrip Antennas ◽  
Array Antenna ◽  
Frequency Bandwidth ◽  
Microstrip Patch ◽  
Feeding Technique ◽  
Feed Network ◽  
Overall Performance ◽  
5G Communication ◽  
Element Array ◽  
Series Technique

The paper proposes a simple four-element microstrip patch array antenna fed with corporate-series technique. The paper compares the proposed design with four-element antennas fed with only series-fed and corporate-fed microstrip antennas. All three antenna designs use rectangular microstrip patch elements with two insets and slots on both sides of the patch. The patch elements are accompanied by Yagi elements: three director elements and two reflector elements. Through comparison of simulation results, the paper shows that four-element array antenna with combined corporate-series feeding technique performs better compared to antennas with only either series or corporate feeding network. The proposed corporate-series fed antenna achieves better performance with wide frequency bandwidth of 25.04–30.87 GHz and gain of 9.5 dB. The antenna has an end-fire radiation pattern. Overall performance shows that the proposed corporate-series-fed microstrip patch antenna with Yagi elements is suitable for next generation 5G communication.

Aircraft Mounted Neural Network Electrostatic Discharge (ESD) Location

2012 ◽  
Vol 721 ◽  
pp. 331-336
Author(s):  
Paul Ratnamahilan Polycarp Hoole ◽  
Nur Farah Aziz ◽  
Velappa Ganapathy ◽  
Kanesan Jeevan ◽  
Ramiah Harikrishnan ◽  
...  
Keyword(s):  
Neural Network ◽  
Electrical Activity ◽  
Electric Fields ◽  
Array Antenna ◽  
Lightning Activity ◽  
Electronic Systems ◽  
Distance Range ◽  
The Neural Network ◽  
Unique Shape ◽  
Element Array

Abstract. Cloud to ground and cloud to cloud lightning flashes pose a threat to the aircraft body and the electronic systems inside the aircraft. In this paper we present a single unit, as opposed to a three unit, lightning locator mounted on the aircraft that uses the wave-shapes of electromagnetic fields radiated by lightning and electrical activity ahead of the aircraft to locate the distance range of lightning activity. A three element array antenna scans the area ahead of the aircraft to narrow down the area ahead where the lightning or threatening electrical activity is. Moreover, the unique shape of the electric fields depending on the distance from the lightning activity is used by a neural network to train and recognize the distance range of the lightning activity from the aircraft on which the lightning detector is mounted. The combined use of the three element array antenna and the neural network provides the required knowledge of lightning activity for the pilot to take evasive action.

Electric Discharges Localization for Substation Fault Monitoring Using Two Elements Sensor

2020 ◽  
Vol 17 (2) ◽  
pp. 1009-1013
Author(s):  
Lorothy Morrison Buah Singkang ◽  
Kismet Anak Hong Ping ◽  
P. R. P. Hoole
Keyword(s):  
Fault Detection ◽  
Power Transformer ◽  
Circuit Breaker ◽  
Electric Power System ◽  
Array Antenna ◽  
Electric Discharges ◽  
Localization Accuracy ◽  
Fault Monitoring ◽  
Electromagnetic Signals ◽  
Element Array

A substation is an important unit in the electric power system. Thus, the monitoring process must be carried out effectively to detect the operation status of the equipment, and pre-fault threat detection is necessary for safe operation. Many methods and intelligent techniques have been developed to provide a better way of fault detection. However, power authorities unwilling to adopt those techniques due to the high cost of installation and more sensors required to improve localization accuracy. Therefore, to reduce cost and increase the speed of detection, this paper presents a 2-element array antenna acted like a sensor to detect and localize the electric discharges from abnormal radiated electromagnetic activities in the substation based on the direction of arriving angle (DOA) received by the array antenna. Software implemented signal processor was used to obtain the radiation patterns for different value of DOA relative to the normalized Array Factor (AFN). This 2-element Sensor was proven to eliminate the undesired signals (such as electromagnetic signals from outside the substation) and maximize the signals in the direction of the desired signal by detecting the DOA of abnormal radiation from power apparatus (such as power transformer or circuit breaker bushings) inside the substation. It was proven that this cohesive unit was able to perform the two tasks by simultaneously eliminating or maximizing signals with very small (such as 0.0873 radians) angle difference between external radiation and radiation from apparatus inside the substation. By performing these tasks, the 2-element Sensor was promisingly able to detect and localize the abnormal electrical activities such as Electric Corona and Electric Arcs discharges that may occur in any substation based on the identified DOA from the power apparatus within the substation as a preventative approach for substation breakdown and to improve the efficiency and the performance of fault detection technique in future Substation Fault Monitoring.

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