Graduate Exam Abstract
Cuong Nguyen
Ph.D. Final
June 26, 2013, 2:00 - 4:00 PM
Engineering B4
Electronic scan weather radar: scan strategy and signal processing for volume targets
Abstract: Phased array radars (PAR) have been widely used in military and recently they have been considered for meteorological application. The advantage of PAR compared to conventional weather radar system is the capability of electronically steered beam. Conventional weather radar scan the 3D-volume by rotating the antenna 360° at some pre-defined elevation angles as know as volume coverage patterns (VCP) and lead to update time of 4-6 minutes for a scan in order to provide estimated parameters within the required accuracy. Moreover, fast updates are not always possible with those radar systems due to the inertia of mechanically rotated antennas. In contrast, PAR can instantly steer the beam to the regions of interest. This property of PAR provides faster update time without compromising data quality. Short update times are critical for better understanding the storms structure as well as forecasting them; especially for fast evolving systems. With PAR, the regions which evolve faster can be scanned more often. This feature is limited on the mechanically scanning radar. That means, PAR is a better platform to precisely capture the feature of storms system compared to conventional weather radars.
The benefit of PAR for weather observation is clear. Its capability opens a new era in scan strategy for weather radars while brings out more challenges in both hardware and software works. For instance, scan strategy and signal processing technique for phased array weather radars differ from that of hard target radars in many aspects. Fundamentally, weather is a distributed target consisting of large number of precipitation particles spreading over a big space and evolving in both spatial and time dimensions. Moreover, weather radars do not only detect but also measure the volume target accurately. Each of the above aspects has specific requirements and needs specific algorithms; and they are the focuses of this research.
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
Publications:
Journal Articles
1.Cuong M. Nguyen and V. Chandrasekar: Sensitivity enhancement system for pulse compression weather radars, J. Atmos. Oceanic Technol., in preparation.
2.Cuong M. Nguyen and V. Chandrasekar, 2011: Gaussian Model Adaptive Processing in Time Domain (GMAP-TD) for weather radars, J. Atmos. Oceanic Technol., under review 2013.
3.Dmitri N. Moisseev, Cuong M. Nguyen, and V. Chandrasekar, 2008: Clutter suppression for staggered PRT waveforms, J. Atmos. Oceanic Technol., 25, 2209–2218, 2008.
4.Cuong M. Nguyen, Dmitri N. Moisseev and V. Chandrasekar, 2008: A parametric time domain method for spectral moment estimation and clutter mitigation for weather radars, J. Atmos. Oceanic Technol., 25, 83–92.
Conference Proceedings
1.Manuel Vega, V. Chandrasekar, Cuong Nguyen, Kumar Vijay Mishra, James Carswell, 2012: Calibration of the NASA Dual-Frequency Dual-Polarized Doppler Radar, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany.
2.V. Chandrasekar, Mathew Schwaller, Manuel Vega, James Carswell, Kumar Vijay Mishra, Alex Steinberg, Cuong Nguyen, Minda Le, Joseph Hardin, Francesc Junyent, Jim George, 2012: Dual-frequency Dual-polarized Doppler radar (D3R) system for GPM ground validation: Update and recent field observation, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany.
3.Kumar Vijay Mishra, V. Chandrasekar, Cuong Nguyen and Manuel Vega, 2012: The Signal Processor System for the NASA Dual-Frequency Dual-Polarized Doppler Radar, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany.
4.Cuong M. Nguyen, V. Chandrasekar, Kumar Vijay Mishra and Jim George, 2011: Sensitivity enhancement system for pulse compression weather radars, Proc. 35th Conf. on Radar Meteorology, Amer. Meteor. Soc., Pittsburgh, PA.
5.Kumar Vijay Mishra, V. Chandrasekar, Cuong M. Nguyen and Manuel Vega, 2011: Waveform design and implementation for the solid-state NASA dual-frequency dual-polarized Doppler radar, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada.
6.C. M. Nguyen and V. Chandrasekar, 2011: A space-time model for electronic scan for phase array weather radar, Proc. IEEE Radar Conf., Kansas City, MO.
7.Cuong M. Nguyen and V. Chandrasekar, 2011: Space-time characterization model for precipitation system and application in adaptive scan for phased array weather radars, National Radio Science Meeting, Boulder, CO.
8.C. M. Nguyen and V. Chandrasekar, 2010: Electronic scan principle for weather radars: Space-time characterization model, Proc. IEEE Int. Symposium on Phased Array Systems and Technology, Boston, MA.
9.J. George, K. V. Mishra, C. M. Nguyen, V. Chandrasekar, 2010: Implementation of blind zone and range-velocity ambiguity mitigation for solid-state weather radar, Proc. IEEE Int. Radar Conf., Washington D.C.
10.Cuong M. Nguyen and V. Chandrasekar, 2010: Waveform design for CASA dual-polarized X-band solid state weather radars, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, HI.
11.V. Chandrasekar, Mathew Schwaller, Manuel Vega, James R. Carswell, Kumar Vijay Mishra, Robert Meneghini, and Cuong Nguyen, 2010: Scientific and engineering overview of the NASA dual-frequency dual-polarized Doppler radar (D3R) system for GPM ground validation, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, HI.
12.Balaji Chakravarthy, Mmanu Chathurvedi, Srinivasa Ramanujam K., V. Chandrasekar, Cuong Nguyen, and Matthew Martinez, 2010: What is the information content of TRMM precipitation radar for determining radiometer observations and vice versa?, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, HI.
13.Cuong M. Nguyen and V. Chandrasekar, 2010: Decomposition of multiple echoes within a radar volume, National Radio Science Meeting, Boulder, CO.
14.Cuong M. Nguyen and V. Chandrasekar, 2009: Time domain GMAP clutter filter for weather radars, Proc. 34th Conf. on Radar Meteorology, Amer. Meteor. Soc., Williamsburg, VA.
15.Cuong M. Nguyen, V. Chandrasekar and Dmitri N. Moisseev, 2008: Gaussian model adaptive time domain filter (GMAT) for weather radars, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Boston, MA.
16.Cuong M. Nguyen, Dmitri N. Moisseev and V. Chandrasekar, 2007: A time domain clutter filter for staggered PRT and dual PRF measurements, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Barcelona, Spain.
17.Cuong M. Nguyen, Dmitri N. Moisseev and V. Chandrasekar, 2006: Precipitation spectral moments estimation and clutter mitigation using parametric time domain model, Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Denver, CO.
Program of Study:
ECE 742
ECE 524
ECE 656
ECE 752
STAT 640
STAT 530
N/A
N/A
