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Published on: February 4, 2018
Compact Quad Band MIMO Antenna Design with Enhanced Gain for Wireless Communications.
Sanjukta Nej1, Anumoy Ghosh1, Sarosh Ahmad2,3
1Department of Electronics and Communication Engineering, NIT Mizoram, Aizawl 796012, India.
A new quad-band MIMO antenna design offers high isolation and gain for GPS, Wi-Fi, Wi-MAX, and WLAN applications. Its compact size and excellent diversity performance make it suitable for modern wireless systems.
Area of Science:
- Electrical Engineering
- Electromagnetics and Antennas
- Wireless Communication Systems
Background:
- Multiple Input Multiple Output (MIMO) antennas are crucial for enhancing wireless communication performance.
- Achieving high isolation and gain in compact, multi-band MIMO antenna designs remains a significant challenge.
Purpose of the Study:
- To propose a novel four-element quad-band MIMO antenna with a gain enhancement technique.
- To achieve high isolation (>22 dB) between antenna elements while maintaining resonant frequencies.
- To analyze and validate the diversity performance for practical wireless applications.
Main Methods:
- Design and simulation of a microstrip line-fed meander-line-based four-element quad-band MIMO antenna.
- Incorporation of orthogonal microstrip lines for gain enhancement.
- Fabrication and measurement of a prototype to validate simulation results.
Main Results:
- The proposed antenna resonates at four bands (1.23, 2.45, 3.5, and 4.9 GHz) suitable for GPS, Wi-Fi, Wi-MAX, and WLAN.
- Achieved isolation greater than 22 dB between adjacent elements.
- Demonstrated excellent diversity performance metrics: ECC (0.003), DG (10 dB), CCL (0.0025 bps/Hz), MEG (-3 dB), and Multiplexing Efficiency (0.64 min.).
- Compact overall size of 0.33 λ × 0.29 λ.
Conclusions:
- The novel quad-band MIMO antenna design successfully integrates high isolation, gain enhancement, and robust diversity performance.
- The proposed antenna is a competent and compatible solution for various wireless communication systems.
- Experimental validation confirms the design's effectiveness and alignment with simulation predictions.
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