A multi‐variable double impedance matching network design algorithm with design example of a low noise amplifier
2022; Wiley; Volume: 32; Issue: 12 Linguagem: Inglês
10.1002/mmce.23462
ISSN1096-4290
AutoresNeha Bajpai, Yogesh Singh Chauhan,
Tópico(s)Electromagnetic Compatibility and Noise Suppression
ResumoInternational Journal of RF and Microwave Computer-Aided EngineeringVolume 32, Issue 12 e23462 ORIGINAL ARTICLE A multi-variable double impedance matching network design algorithm with design example of a low noise amplifier Neha Bajpai, Corresponding Author Neha Bajpai [email protected] Department of Electrical Engineering, Indian Institute of Technology-Kanpur, Kanpur, India Correspondence Neha Bajpai, WL-215 Nano-Lab, Department of Electrical Engineering, Indian Institute of Technology, Kanpur 208016, India. Email: [email protected]Search for more papers by this authorYogesh Singh Chauhan, Yogesh Singh Chauhan Department of Electrical Engineering, Indian Institute of Technology-Kanpur, Kanpur, IndiaSearch for more papers by this author Neha Bajpai, Corresponding Author Neha Bajpai [email protected] Department of Electrical Engineering, Indian Institute of Technology-Kanpur, Kanpur, India Correspondence Neha Bajpai, WL-215 Nano-Lab, Department of Electrical Engineering, Indian Institute of Technology, Kanpur 208016, India. Email: [email protected]Search for more papers by this authorYogesh Singh Chauhan, Yogesh Singh Chauhan Department of Electrical Engineering, Indian Institute of Technology-Kanpur, Kanpur, IndiaSearch for more papers by this author First published: 11 October 2022 https://doi.org/10.1002/mmce.23462 Funding information: IUSSTF/USISTEF/9th call/EC-059/2018/2019-20; Swarna Jayanti Fellowship, Grant/Award Number: DST/SJF/ETA-02/2017-18; FIST Scheme of the Department of Science and Technology, Grant/Award Number: SR/FST/ETII-072/2016 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract In this article, we propose a matching network design algorithm based on the segmentation of the real and imaginary part of optimum source impedance curve with respect to space variable x and frequency ω , respectively. The impedance curve (comprising of real and imaginary parts) is approximated as a collection of n linear segments, represented by the weighted sum of n semi-infinite linear functions. Using the numerical method, optimum weight vectors that maximize transducer power gain are obtained to model the real and imaginary parts of the source impedance curve. We get the values of optimum weight vectors and the rational input impedance function for the matching network, which are then synthesized in the desired topology by a continued partial fraction. Experimentally, we validate the novelty of the proposed method by designing matching networks of a wideband custom monolithic microwave integrated circuit (MMIC) low noise amplifier (LNA) in 1.3–2.3 GHz frequency band. The measured results of the designed LNA are significantly close to the simulated results. We bias our LNA at (5 V, 150 mA) and achieve a maximum noise figure of 1.25 dB, OP1dB of 26 dBm, and an average TOI of 38 dBm. Moreover, our design of custom LNA MMIC has an integrated ESD structure while occupying only 0.32 mm2 of chip area. Open Research DATA AVAILABILITY STATEMENT Research data are not shared. REFERENCES 1Ishteyaq I, Muzaffar K. Multiple input multiple output (MIMO) and fifth generation (5G): an indispensable technology for sub-6 GHz and millimeter wave future generation mobile terminal applications. Int J Microwave Wireless Technol. 2021; 14: 1-17. doi:10.1017/S1759078721001100 2Mahmood A, Beltramelli L, Fakhrul Abedin S, et al. 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