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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 ...
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 ...
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 ...