Impact of Parasitic Patches for Controlling Mutual Coupling and Spatial Correlation in Closely Spaced UWB MIMO Antennas

Author(s):  
Debdeep Sarkar ◽  
Chinmoy Saha ◽  
Debarati Ganguly ◽  
Jawad Y. Siddiqui ◽  
Yahia M. M. Antar
2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Tommy Hult ◽  
Abbas Mohammed

We analyze the destructive effects of mutual coupling and spatial correlation between the separate antenna elements on a combined diversity system consisting of multiple HAPs (High-Altitude Platforms) employing various compact MIMO (Multiple-Input Multiple-Output) antenna array configurations, in order to enhance the mutual information in HAP communication links. In addition, we assess the influence of the separation angle between HAPs on system performance, and determine the optimal separation angles that maximize the total mutual information of the system for various compact MIMO antennas. Simulation results show that although the mutual information is degraded by mutual coupling and spatial correlation, the proposed HAP diversity system still provides better performance compared to a nondiversity system for all tested scenarios.


2015 ◽  
Vol 6 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Wan Noor Najwa Wan Marzudi ◽  
Zuhairiah Zainal Abidin ◽  
Siti Zarina Mohd Muji ◽  
Yue Ma ◽  
Raed A. Abd-Alhameed

This paper presented a planar printed multiple-input-multiple-output (MIMO) antenna with a dimension of 100 x 45 mm2. It composed of two crescent shaped radiators placed symmetrically with respect to the ground plane. Neutralization line applied to suppress mutual coupling. The proposed antenna examined both theoretically and experimentally, which achieves an impedance bandwidth of 18.67% (over 2.04-2.46 GHz) with a reflection coefficient < -10 dB and mutual coupling minimization of < -20 dB. An evaluation of MIMO antennas is presented, with analysis of correlation coefficient, total active reflection coefficient (TARC), capacity loss and channel capacity. These characteristics indicate that the proposed antenna suitable for some wireless applications.


2012 ◽  
Vol 60 (2) ◽  
pp. 473-481 ◽  
Author(s):  
Zhengyi Li ◽  
Zhengwei Du ◽  
Masaharu Takahashi ◽  
Kazuyuki Saito ◽  
Koichi Ito

2021 ◽  
Author(s):  
Swati Bhattacharjee ◽  
Chandan Kumar Ghosh

Abstract This paper presents a novel decoupling technique between two closely spaced MIMO antennas whose edge to edge spacing is0.03λ (1.975mm).A microstrip resonator is used in between the antennas that act as a decoupled device. The MIMO plays an important role in the current communication system due to its enhanced data transferring rate. However, the closely spaced MIMO antennas have a major disadvantage of high mutual coupling (MC). MC affects the entire characteristics of MIMO antennas and as a result, the performance of the antenna degrades. To overcome this problem, we have introduced a microstrip resonator that acts as an electrical wall between the MIMO antennas. The antenna has been simulated by using an IE3D EM simulator and a suppression of 48dB MC is achieved at a resonant frequency of 4.85 GHz. The MIMO antennas have been fabricated and the results are compared with the simulated ones. This antenna can be used in wireless communication, WLAN and satellite communication.


2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Qianya Wang ◽  
Hongwen Yang

With the constraint of antenna space, spatial correlation and mutual coupling must be considered to accurately predict the system performance for massive MIMO systems. Increasing the antenna quantity can degrade the system performance due to mutual coupling. Antenna selection systems have better performance and lower hardware cost than full-MIMO systems. However, the conventional selection combining (SC) scheme consumes a great amount of training overhead and has high operational complexity in the presence of mutual coupling. This paper proposes a group switch-and-examine combining (GSEC) scheme for massive MIMO systems with the spatial correlation and mutual coupling existing at both the transmitter and receiver. Simulation results demonstrate that the proposed GSEC scheme provides better effective capacity performance and lower operational complexity than the conventional selection combining (SC) and full-MIMO scheme.


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