An Ultra Low Power 2.4GHz Sub-Threshold LNA with Tunable Input Matching for Wireless Sensor Network Applications

Pathak, Deepali and Vardhan, SriHarsha and Kumar, Aravinth and Dutta, Ashudeb (2020) An Ultra Low Power 2.4GHz Sub-Threshold LNA with Tunable Input Matching for Wireless Sensor Network Applications. In: IEEE International Conference on Semiconductor Electronics, Proceedings, ICSE, 28 July 2020 - 29 July 2020.

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An ultra-low power (ULP) sub-threshold CMOS low noise amplifier (LNA) with tunable input matching for 2.4 GHz ISM band wireless sensor network applications is presented. A mathematical approach has been presented to find input matching network for any type of impedance transformation like complex to complex and complex to real. An Impedance transformation using parallel inductor sub-threshold LNA topology has been presented for IEEE 802.15.4a standard using a standard low cost 0.18μm RF CMOS process. The inductive source degeneration is avoided here to facilitate higher gain, better figure of merit with less area. Continuously tuned characteristics are obtained by using a switch, and the input matching circuit is equipped with varactor tuning techniques. It occupies the frequency range between 2.2 GHz and 2.55 GHz, and achieves 24dB gain, a 3.6dB noise figure with-5 dBm P1dB. This draws a supply voltage of 0.532 mA from 1.8 V.

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IITH Creators:
IITH CreatorsORCiD
Pathak, DeepaliUNSPECIFIED
Vardhan G., SriHarshaUNSPECIFIED
Kumar, AravinthUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: CMOS integrated circuits; Complex networks; Low power electronics; Mathematical transformations; Noise figure; Wireless sensor networks;2.4 ghz ism bands; CMOS low noise amplifiers; Impedance transformation; Inductive source degeneration; Input matching networks; Mathematical approach; Parallel inductors; Wireless sensor network applications
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 13 Jul 2021 06:41
Last Modified: 13 Jul 2021 06:41
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