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Improving Drop Size Distribution Retrieval and Rain Estimation from Polarimetric Radar Data using the Deep Neural Network
(2022-08)
Drop size distribution (DSD) and rain rate (R) have been estimated from polarimetric radar data are now available nationwide. DSD and R are essential in understanding rain microphysics. Past studies utilized parametrized ...
TECHNIQUES AND INSTRUMENTATION FOR PHASED ARRAY CALIBRATION
(2020-05-08)
Active phased arrays suffer the inherent problem of excitation errors, i.e., incorrect phase and amplitude excitation of the antenna elements. Excitation errors degrade critical performance parameters since they increase ...
Nonlinear Equalization and Digital Pre-Distortion Techniques for Future Radar and Communications Digital Array Systems
(2020-05-08)
Modern radar (military, automotive, weather, etc.) and communication systems seek to leverage the spatio-spectral efficiency of phased arrays. Specifically, there is an increasingly large demand for fully-digital arrays, ...
A Kinematic and Thermodynamic Analysis of the 17 May 2019 McCook / Farnam, Nebraska Tornadic Supercell
(2023-08-04)
The Targeted Observation by Radars and UAS of Supercells field project successfully deployed on a cyclic tornadic supercell in southwest Nebraska on 17–18 May 2019. This case study uses data from the two airborne radars ...
Nonlinear Amplifier Amplitude Modulation Distortion Mitigation Techniques
(2022-05-13)
High peak-to-average power ratio (PAPR) waveforms present a challenge to
radar systems in which high power amplifiers operate in saturation to increase
power efficiency. Previous works have demonstrated a marked reduction ...
Deep Learning for Weak Target Detection in Range-Doppler Data
(2022-05)
A consistent issue for detectors in radar systems is how to correctly distinguish target signals from random noise. This is especially true for weak targets with low signal-to-noise ratios (SNRs). Traditional target detection ...
An analysis of the information content of radar detection
(2022-08-04)
The availability of the electromagnetic spectrum (EMS) was an unseen issue in the past,
as there was sufficient spectrum access to suit the needs of its’ consumers. Today, the use
of the EMS has been become integrated ...
Application of Machine Learning to Multiple Radar Missions and Operations
(2022-08-04)
This dissertation investigated the application of Machine Learning (ML) in multiple radar missions. With the increasing computational power and data availability, machine learning is becoming a convenient tool in developing ...
Accelerating Distributed Synthetic Aperture Radar Data Simulations Via CUDA
(2022-05)
A general simulation of distributed synthetic aperture radar (DSAR) data is useful to evaluate the theoretical performance of a DSAR system and its underlying algorithms without a deployed system in place. Simulating DSAR ...
Methods for Control, Calibration, and Performance Optimization of Phased Array Systems
(2022-05-13)
Phased array radar systems have proven advantageous in a variety of research applications, offering faster volume scans and unparalleled time-resolution as compared to traditional parabolic dish antenna systems that rely ...