Graduate Exam Abstract

Cuong Nguyen

Ph.D. Preliminary
July 20, 2012, 1:30-3:30 PM
Engineering B101
Electronic scan weather radar: scan strategy and signal processing for volume targets

Abstract: Phased array radars (PAR) have been widely used in military and only recently they have been considered for meteorological application. The advantage of PAR compared to conventional weather radars system is the ability to steer the beam to the regions of interest instantly. The instant and flexible beam scanning provides faster update time. Only precipitation regions will be scanned. Short update times are critical for better understanding the storms structure as well as forecasting them; especially for fast evolving systems. The regions which evolve faster also need to be scanned more often. That means, PAR is the better platform to precisely capture the feature of storms system compared to the mechanical scanning radars system. Additionally, PAR can be used to improve the measurement accuracy of weather targets. The electronic beam steering capability of PAR allows scanning many regions in a sequence and revisiting them; therefore it increases number of independent samples within an integration cycle. The benefit of PAR for weather observation is clear. However, the question of how to steer the beam in PAR to obtain the best measurement is a challenge. In this work, a space-time characterization model for precipitation systems along with a mechanism mapping the model to a scan strategy is presented. The scan strategy goal can be the measurement accuracy or can be the ability to capture more features accurately from the weather system while minimizing the scan time. A sequence of tasks including characterization the space-time model, estimation of model parameters, short time forecasting, optimization of the scheduler is described. In addition, corresponding waveform methods, signal processing algorithm and sensitivity enhancement techniques is developed for phased array weather radar (PAWR).

Adviser: Dr. V. Chandrasekar
Co-Adviser: N/A
Non-ECE Member: Dr. Paul W. Mielke Jr., Statistics
Member 3: Dr. Anura P. Jayasumana, Electrical & Computer Engineering
Addional Members: Dr. Dr. Branislav Notaros, Electrical & Computer Engineering


Program of Study:
ECE 742
ECE 524
ECE 656
ECE 752
STAT 640
STAT 530