Remote Reconstruction of the Radiation Pattern of Phased Array Antennas

2021 ◽  
Vol 66 (4) ◽  
pp. 427-432
Author(s):  
V. I. Gusevskii ◽  
M. D. Duplenkova ◽  
O. N. Tsvetkova
Keyword(s):  
Radiation Pattern ◽  
Phased Array ◽  
Phased Array Antennas ◽  
Array Antennas

scholarly journals Defining Effective Gain for Evaluation of Orbital Angular Momentum Links

2021 ◽  
Vol 6 (2) ◽  
pp. 117-127
Author(s):  
Elaheh Shamoushaki ◽  
Hadi Aliakbarian
Keyword(s):  
Angular Momentum ◽  
Radio Frequency ◽  
Radiation Pattern ◽  
Orbital Angular Momentum ◽  
Phased Array ◽  
Communication Link ◽  
Phased Array Antennas ◽  
Array Antennas ◽  
Link Budget ◽  
First Time

In this paper, a communication link based on circular phased array antennas generating orbital angular momentum (OAM) beams at radio frequency is investigated. The presence of a null in the radiation pattern of OAM antennas is the main drawback of them. This problem makes it difficult to establish a telecommunication link using OAM systems and calculate the link budget for such a system. To solve this problem, we have defined two new gain parameters by using Friis Transmission Equation. The new formulas can help to calculate the effective gain of OAM antennas. Also, we have defined the effective OAM gain in detail for the first time in order to evaluate the performance of the OAM links. By using the proposed formulas, a capable and secure link based on the orthogonality of OAM beams can be designed.

scholarly journals Implementation of Beam Steering using Phased Array Antennas

2020 ◽  
Vol 5 (6) ◽  
pp. 1006-1008
Author(s):  
Jestin John Mathew ◽  
Nitish HS ◽  
Dr. Jayavrinda V V ◽  
Dr. Raghunandan S
Keyword(s):  
Radiation Pattern ◽  
Microstrip Antenna ◽  
Phased Array ◽  
Beam Steering ◽  
Main Lobe ◽  
Radio Waves ◽  
Phased Array Antenna ◽  
Phased Array Antennas ◽  
Radar Systems ◽  
Array Antennas

Beam steering is a phenomenon of varying the direction of the main lobe in the radiation pattern, so in radar systems it can be achieved by changing the relative phases of the antenna being implemented.But,some of the setbacks of implementing beam steering in mechanical antennas like microstrip antenna is that the directivity and, gain is low,and interference is very high.Whereas,in our project we have implemented beam steering using phased array antennas which has produced better results.So,an phased array antenna is electronically scanned antenna ,which produces a beam of radio waves that can be steered to different points based on our requirements by keeping the antenna stationary.Also,these type of antennas require less maintenance as compared to mechanical antennas

Optically Derived Signal Set For Phased Array Antennas

1987 ◽  
Author(s):  
M. G. Parent ◽  
L. Goldberg ◽  
P. D. Stilwell, Jr.
Keyword(s):  
Phased Array ◽  
Phased Array Antennas ◽  
Signal Set ◽  
Array Antennas

Convolutional neural network for 2D adaptive beamforming of phased array antennas with robustness to array imperfections

2021 ◽  
pp. 1-7
Author(s):  
Tarek Sallam ◽  
Ahmed M. Attiya
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Phased Array ◽  
Weight Vector ◽  
Adaptive Beamforming ◽  
Phased Array Antenna ◽  
Phased Array Antennas ◽  
Array Antennas ◽  
Optimum Weight ◽  
High Computational Complexity

Abstract Achieving robust and fast two-dimensional adaptive beamforming of phased array antennas is a challenging problem due to its high-computational complexity. To address this problem, a deep-learning-based beamforming method is presented in this paper. In particular, the optimum weight vector is computed by modeling the problem as a convolutional neural network (CNN), which is trained with I/O pairs obtained from the optimum Wiener solution. In order to exhibit the robustness of the new technique, it is applied on an 8 × 8 phased array antenna and compared with a shallow (non-deep) neural network namely, radial basis function neural network. The results reveal that the CNN leads to nearly optimal Wiener weights even in the presence of array imperfections.

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