Browsing by Author "Lie, Donald Y.C."
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Item A Broadband Millimeter-Wave 5G Low Noise Amplifier Design in 22 nm Fully Depleted Silicon-on-Insulator (FD-SOI) CMOS(2024) Ouyang, Liang Wei; Mayeda, Jill C.; Sweeney, Clint; Lie, Donald Y.C.; Lopez, JerryThis paper presents a broadband millimeter-wave (mm-Wave) low noise amplifier (LNA) designed in a 22 nm fully depleted silicon-on-insulator (FD-SOI) CMOS technology. Electromagnetic (EM) simulations suggest that the LNA has a 3-dB bandwidth (BW) from 17.8 to 42.4 GHz and a fractional bandwidth (FBW) of 81.7%, covering the key frequency bands within the mm-Wave 5G FR2 band, with its noise figure (NF) ranging from 2.9 to 4.9 dB, and its input-referred 1-dB compression point (IP1dB) of −17.9 dBm and input-referred third-order intercept point (IIP3) of −8.5 dBm at 28 GHz with 15.8 mW DC power consumption (PDC). Using the FOM (figure-of-merit) developed for broadband LNAs (FOM = 20 × log((Gain[V/V] × S21-3 dB-BW [GHz])/(PDC [mW] × (F-1)))), this LNA achieves a competitive FOM (FOM = 18.9) among reported state-of-the-art mm-Wave LNAs in the literature.Item The design of a robust and intelligent phased array Non-Contact Vital Signs (NCVS) sensor system(2016-05) Hall, Travis Jordan; Lie, Donald Y.C.; Saed, MohammedFor the past few years, it has been the desire of the healthcare industry to have a non-invasive system capable of continuous, accurate, and long-term monitoring of human vital signs. Having a system that can measure and record vital signs, such as heart rates and respiration rates, is an invaluable tool for physicians who need to make rapid life-and-death decisions. Such a system would also be an effective tool to help physicians make better informed decisions when viewing a patient’s long-term monitored data. Therefore, there has been a large increase in research activities to develop a system that can monitor a patient’s vital signs and quickly transmit the information to healthcare professionals. Non-contact vital signs (NCVS) monitoring system are particularly attractive for long term vital signs monitoring because there are no wires, electrodes, wearable devices, nor contact-based sensors for the subjects to worry about. In this thesis we will investigate improvements made to an existing Doppler-based non-contact vital signs (NCVS) biosensor we have built in Professor Donald Y. C. Lie’s RF/Analog SoC Lab. The main focus of this thesis will be on improving the effective range of the system and the creation of a “smart” system capable of detecting a patient’s location and movement. To determine the accuracy of the NCVS sensor, the heart rate measurements from the system are compared against an external contact-based piezoelectric finger sensor as a reference. In previous works, the NCVS sensor performance was tested within a clutter-free anechoic chamber inside Dr. Lie’s RF/Analog SoC Lab. In this work, to examine the performance of the NCVS sensor in a more practical setting, all tests were performed within the typical Herman-Miller type office cubicle setting, inside a section of the RF/Analog SoC Lab. Additionally, I will detail the 5th and 6th generation revisions and improvement to the NCVS sensor.