ELECTRICAL ENGINEERING


60GHz RF Front-End Circuit Design

Yu Shan Luo (EE)
Lorina Ilkkan (EE)


Advised by Professor Jabeom Koo



Our project aims to create faster and more efficient wireless communication systems by developing a 60GHz RF receiver consisting of a Mixer, Voltage Control Oscillator (VCO), and a Low Noise Amplifier (LNA). The unlicensed 60GHz band presents an opportunity for research and development, benefiting industries such as telecommunications, autonomous vehicles, and other emerging technologies.

Switch Integrated Mode Power Supply (SIMPS)


Azra Rangwala (EE)
Ilona Lameka (EE)
Ridwan Hussain (EE)


Advised by Professors Stuart Kirtman and Jabeom Koo


 





Our team is building a fully integrated switch mode power supply, similar to the ones on the JLab benches, that supports Channel A (1V-20V, 0A-3A), Channel B (1V-20V, 0A-3A), and Channel C (5V, 3A). Channel A & B can be connected in independent, parallel, or series modes. Channel C supports USB-C slow charging over USB 2.0. The generic block diagram is rectifier, fly back transformer, protection circuit, feed back, and output enable.

3D Layout View of SIMPS PCB


The Mobile Buck Boost Converter

Derrick Yu (EE)
Gabriel Chodon (EE)
Richard Chung (EE)



Advised by Professor Jabeom Koo


 





Power is an increasingly important field in the world of today's technology. With the rise in importance for high-power DC-DC converters in applications such as data centers, low-load devices are often underresearched - proven by the low efficiency of conventional buck-boost converters at low load. This project aims to implement a DC-DC buck-boost converter, which remains relatively efficient at low loads, via the use of innovative modulation techniques such as PSM, PFM, and PWM. 


Beam Seek


Arav Sharma (EE)
Raymond (Lei) Chi (EE)
Ari Gebhardt (EE)


Advised by Professors Sam Keene, Alon Levin and Timothy Hoerning 


 





BeamSeek is a novel Direction of Arrival (DOA) estimation method for millimeter-wave phased arrays with low-complexity hardware implementations. Rapid, accurate, pilot-free DOA estimation is achieved by combining agile beam switching with a neural network. BeamSeek was trained using an iterative training approach that incorporated physics-informed data augmentation and was tested on the NSF PAWR COSMOS testbed at 60 GHz. BeamSeek reduced the average estimation error by up to 8 degrees, and demonstrated particular advantages in noisy channels.





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