Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/333501
Title: Design analysis and optimization of cmos low noise amplifier for wireless applications
Researcher: Andrew Roobert, A
Guide(s): Gracia Nirmala Rani, D
Keywords: Low Noise Amplifier
Mobile communication
5G communication
University: Anna University
Completed Date: 2020
Abstract: Low Noise Amplifier (LNA) is the first and important block of the receiver side of the communication system. An LNA is required to have low Noise Figure (NF), high Gain, high Third-order Input Intercept Point (IIP3), and low power consumption. In a mobile phone device, multiple receivers are required for communication. Specifically, 5G communication requires a separate receiver for signal reception. A single receiver is used for 2G/3G/4G communications. Bluetooth and Wireless Local Area Network (WLAN) communication receiver requires two numbers of LNAs of 2.4 GHz frequency. In the proposed work, four LNAs are designed for the mobile communication receivers in Cadence virtuoso 90nm technology, which has been selected to meet the frequency requirements of the 5G communication. In the first proposed work, a 2.4 GHz CMOS LNA is designed and optimized for Bluetooth and WLAN applications. Here, the Elephant Herding Optimization (EHO) algorithm is used for the first time to optimize the performance parameters of the LNA. The simulation shows that a maximum gain of 26.7 dB at 2.4 GHz is achieved in the proposed design. Noise cancelation technique is involved to get a reduced noise figure of 1.12 dB. The proposed design consumes 8.9 mW of power from 0.5V and 1.2V supply. Then, current reuse technology is used to reduce the power consumption. The input and output return losses have been found as -18 dB and -15 dB respectively at the targeted 2.4 GHz frequency. The third-order input intercept point (IIP3) of the optimized LNA is -8.1 dBm. The EHO algorithm has improved the performance of the LNA newline
Pagination: xxii,149p.
URI: http://hdl.handle.net/10603/333501
Appears in Departments:Faculty of Information and Communication Engineering

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03_vivaproceedings.pdf518.49 kBAdobe PDFView/Open
04_bonafidecertificate.pdf358.08 kBAdobe PDFView/Open
05_abstracts.pdf182.24 kBAdobe PDFView/Open
06_acknowledgements.pdf480.99 kBAdobe PDFView/Open
07_contents.pdf473.02 kBAdobe PDFView/Open
08_listoftables.pdf186.12 kBAdobe PDFView/Open
09_listoffigures.pdf390.21 kBAdobe PDFView/Open
10_listofabbreviations.pdf344.27 kBAdobe PDFView/Open
11_chapter1.pdf830.25 kBAdobe PDFView/Open
12_chapter2.pdf2.35 MBAdobe PDFView/Open
13_chapter3.pdf1.62 MBAdobe PDFView/Open
14_chapter4.pdf896.85 kBAdobe PDFView/Open
15_chapter5.pdf743.32 kBAdobe PDFView/Open
16_chapter6.pdf532.31 kBAdobe PDFView/Open
17_conclusion.pdf123.85 kBAdobe PDFView/Open
18_references.pdf186.56 kBAdobe PDFView/Open
19_listofpublications.pdf153.12 kBAdobe PDFView/Open
80_recommendation.pdf186.62 kBAdobe PDFView/Open
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