Calibration of Mutual Coupling Effect for Adaptive Arrays Composed of Circularly Polarized Microstrip Antennas

2014 ◽  
Vol 34 (5) ◽  
pp. 392-401 ◽  
Author(s):  
Qiulin Huang ◽  
Hongxing Zhou ◽  
Jianhui Bao ◽  
Xiaowei Shi
Keyword(s):  
Mutual Coupling ◽  
Coupling Effect ◽  
Microstrip Antennas ◽  
Adaptive Arrays ◽  
Circularly Polarized

scholarly journals Accurate DOA Estimations Using Microstrip Adaptive Arrays in the Presence of Mutual Coupling Effect

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Qiulin Huang ◽  
Hongxing Zhou ◽  
Jianhui Bao ◽  
Xiaowei Shi
Keyword(s):  
Antenna Arrays ◽  
Mutual Coupling ◽  
Coupling Effect ◽  
Beam Width ◽  
Calibration Method ◽  
New Method ◽  
Adaptive Antenna ◽  
Adaptive Arrays ◽  
Circularly Polarized ◽  
Linearly Polarized

A new mutual coupling calibration method is proposed for adaptive antenna arrays and is employed in the DOA estimations to calibrate the received signals. The new method is developed via the transformation between the embedded element patterns and the isolated element patterns. The new method is characterized by the wide adaptability of element structures such as dipole arrays and microstrip arrays. Additionally, the new method is suitable not only for the linear polarization but also for the circular polarization. It is shown that accurate calibration of the mutual coupling can be obtained for the incident signals in the 3 dB beam width and the wider angle range, and, consequently, accurate [1D] and [2D] DOA estimations can be obtained. Effectiveness of the new calibration method is verified by a linearly polarized microstrip ULA, a circularly polarized microstrip ULA, and a circularly polarized microstrip UCA.

scholarly journals Design and Simulation of Metamaterial based Circularly Polarized Antenna Array

2021 ◽  
Vol 23 (08) ◽  
pp. 437-442
Author(s):  
Rohini G.Bhatkoorse ◽  
◽  
Dr. Mahesh A ◽  
Keyword(s):  
Resonant Frequency ◽  
Mutual Coupling ◽  
Coupling Effect ◽  
Array Antenna ◽  
Negative Permittivity ◽  
Metamaterial Structure ◽  
Circularly Polarized ◽  
Microstrip Patch ◽  
Planar Shape ◽  
Permittivity And Permeability

The microstrip patch array antenna is usually designed as a broadside radiator. The radiating area of the patch can be of any planar shape from elliptical to square, but rectangular is preferred over other shapes. When elements of antenna are repeated, it is called as an array of antennas. When the distance between antennas is reduced, mutual coupling effect occurs. This effect occurs when the distance between the antennas is less than 0.5and this affects the gain and efficiency of the antennas. This effect can be reduced by using metamaterials. To reduce the mutual coupling between the antenna elements the metamaterial structure is artificially designed to obtain negative permittivity and permeability using HFSS and the results are verified using MATLAB. These metamaterials are placed between the patch elements of 1×2 circularly polarized array antenna when the distance between the patches is 0.2 for both RT duroid and FR4 epoxy substrate for 5GHz resonant frequency.

scholarly journals Compressed Sensing-Based DOA Estimation with Unknown Mutual Coupling Effect

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 424 ◽  
Author(s):  
Peng Chen ◽  
Zhenxin Cao ◽  
Zhimin Chen ◽  
Linxi Liu ◽  
Man Feng
Keyword(s):  
Compressed Sensing ◽  
Mutual Coupling ◽  
Linear Array ◽  
State Of The Art ◽  
Coupling Effect ◽  
Estimation Method ◽  
Doa Estimation ◽  
System Model ◽  
Reconstruction Problem ◽  
Uniform Linear Array

The performance of a direction-finding system is significantly degraded by the imperfection of an array. In this paper, the direction-of-arrival (DOA) estimation problem is investigated in the uniform linear array (ULA) system with the unknown mutual coupling (MC) effect. The system model with MC effect is formulated. Then, by exploiting the signal sparsity in the spatial domain, a compressed-sensing (CS)-based system model is proposed with the MC coefficients, and the problem of DOA estimation is converted into that of a sparse reconstruction. To solve the reconstruction problem efficiently, a novel DOA estimation method, named sparse-based DOA estimation with unknown MC effect (SDMC), is proposed, where both the sparse signal and the MC coefficients are estimated iteratively. Simulation results show that the proposed method can achieve better performance of DOA estimation in the scenario with MC effect than the state-of-the-art methods, and improve the DOA estimation performance about 31.64 % by reducing the MC effect by about 4 dB.

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