My research interests are in signal processing, remote sensing, mmWave radar, and engineering laboratory education. The following summarizes my research projects.

Radar Tracking by Bayesian Estimator

Traditional methods for vibration tracking in FMCW radar heavily depend on the Fast Fourier Transform (FFT), which limits the tracking speed. This research focuses on agile radar tracking using Bayesian estimators to enable sample-by-sample estimation.

Related paper:
Beyond FFT: Precision Vibration Tracking with FMCW Radar and Kalman Estimators
Thomas Moon
2024 IEEE Radar Conference.

Radar Security

Emerging remote sensing technologies in IoT devices and automotive vehicles increases the concern on side-channel attacks and mutual interference. This research includes (1) modeling of malicious attacks and mutual interference against the remote sensing systems and (2) developing anti-attack/interference remote sensing systems. 

Related paper:
BlueFMCW: random frequency hopping radar for mitigation of interference and spoofing
Thomas Moon, Jounsup Park, and Seungmo Kim
EURASIP Journal on Advances in Signal Processing, 2022


mmWave Phased Array

The key enabler for directionality in mmWave is phased arrays. The small wavelength of mmWave frequencies allows us to pack a very large number of antennas in a small area which creates highly directional narrow beams. This research includes (1) developing online over-the-air phased array calibration and (2) its applications in wireless communication.

Related paper:
Online Millimeter Wave Phased Array Calibration Based on Channel Estimation
Thomas Moon, Junfeng Guan, and Haitham Hassanieh
VLSI Test Symposium, April 2019

Nominated for the best paper
[paper] [slides]

Many-to-Many Beam Alignment in Millimeter Wave Networks
Suraj Jog, Jiaming Wang, Junfeng Guan, Thomas Moon, Haitham Hassanieh, Romit Roy Choudhury
USENIX Symposium on Networked Systems Design and Implementation, February 2019 (NSDI)


Sub-sampling Reconstruction

Can we break the Nyquist rate? This research demonstrates a non-uniform sampler using multirate sampling frequencies can efficiently reconstruct the signal below the Nyquist rate.

Related paper:
Wideband Sparse Signal Acquisition With Dual-rate Time-Interleaved Undersampling Hardware and Multicoset Signal Reconstruction Algorithms
Thomas Moon, Hyun Woo Choi, Nicholas Tzou, and Abhijit Chatterjee
IEEE transactions on signal processing 63, no. 24, 2015


Low cost sparse multiband signal characterization using asynchronous multi-rate sampling: Algorithms and hardware
Nicholas Tzou, Debesh Bhatta, Barry J. Muldrey, Thomas Moon, Xian Wang, Hyun Choi, and Abhijit Chatterjee
Journal of Electronic Testing31, no. 1, 2015, JETTA/TTTC Best Paper Award