4 research outputs found

    Design Of Compact Filtenna Based On Capacitor Loaded Square Ring Resonator For Wireless Applications

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    This paper proposes and demonstrates a compact integrated filtering antenna built on a square ring resonator coupled with a capacitors loaded microstrip line filter. A microstrip filter module is connected to feeding line of the conventional patch without adding extra space. Thus, the combined configuration possesses radiating and filtering functions simultaneously. The proposed filtenna has a fractional bandwidth (FBW) of 3% at center frequency 2.4 GHz with 2.5 dB of maximum gain. The obtained result shows that the proposed design shows good stopband gain rejection, good selectivity at band edges, and smooth passband gain. Furthermore, the introduced filtenna has advantages of a small size and a simple structure, which makes it ideal for interconnection with different wearable devices operating within 2.4 GHz wireless system range

    IEEE Access Special Section: Antenna and Propagation for 5G and Beyond

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    5G is not just the next evolution of 4G technology; it is a paradigm shift. “5G and beyond” will enable bandwidth in excess of 100s of Mb/s with a latency of less than 1 ms, in addition to providing connectivity to billions of devices. The verticals of 5G and beyond are not limited to smart transportation, industrial IoT, eHealth, smart cities, and entertainment services, transforming the way humanity lives, works, and engages with its environment

    Frequency-agile filtering antennas for S-band and X-band applications

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    Multi-functional, highly flexible, and tightly integrated Radio-Frequency Front-Ends (RFFEs) are at the forefront of the current developments to improve the performance of next-generation wireless RF systems. In the past decade, filtering antennas, or filtennas, have emerged as a potential solution to minimize the Radio-frequency system's cost and complexity while maximizing performance in a highly integrated module. The RF co-design approach of combining the filtering and radiation functionalities into a single unit is beneficial for improving a system's Signal-to-Noise (SNR) performance while limiting interference in a congested frequency spectrum. Furthermore, frequency-agile filtennas can enhance an RF system's adaptation to changing radio environments. The work presented in this thesis utilizes conventional bandpass filter synthesis techniques to enhance the performance of tunable filtennas for next-generation RFFEs. By using high-QQ Evanescent-mode (EVA-mode) cavity resonators and highly efficient slot antennas, multiple filtenna designs are demonstrated. First, the building blocks of the filtennas are individually developed. A novel Evanescent-mode Cavity-Backed Slot Antenna (ECBSA) with contactless capacitive tuning is designed for radiation functionality. Long-range external linear actuators are deployed to tune the critical gap size of the cavity. Experimental results of the antenna demonstrate a high power-handling capacity and wide tuning from 1.7 GHz to 2.6 GHz (40\%). The ECBSA is then integrated with a contactless-tuned EVA-mode resonator to form a 2nd-order tunable filtenna. The fabricated filtenna demonstrates frequency tuning from 2-2.6 GHz (26\%), with a peak realized gain ranging from 2.7~dB to 5.2~dB. The filtenna showed excellent tuning reliability due to the deployed closed-loop monitoring system and exhibits state-of-the-art performance in the class of tunable cavity-based filtennas. The frequency scalability of the tunable filtenna is next investigated in the X-band (8-12~GHz) frequency regime. A new filtenna structure and tuning scheme is conceptualized by incorporating varactor diodes on a novel superstrate-loaded cavity-backed slot antenna. The performance trade-offs and loss analysis is completed by analyzing the resistive losses associated with tuning varactors. In addition, a new technique is proposed to estimate a varactor's quality factor for high-frequency applications. The proposed method does not require any calibration or de-embedding processes. The varactor-QQ estimation technique can effectively estimate the bias and frequency-dependent varactor quality factor for any reconfigurable RF application
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