Adaptive Range Oversampling to Achieve Faster Scanning on the National Weather Radar Testbed Phased-Array Radar

2011 ◽  
Vol 28 (12) ◽  
pp. 1581-1597 ◽  
Author(s):  
Christopher D. Curtis ◽  
Sebastián M. Torres
Keyword(s):  
Signal Processing ◽  
Phased Array ◽  
Matched Filter ◽  
Meteorological Data ◽  
Weather Radar ◽  
Meteorological Variable ◽  
Seamless Integration ◽  
Computational Burden ◽  
Phased Array Radar ◽  
Spatial Coverage

Abstract This paper describes a real-time implementation of adaptive range oversampling processing on the National Weather Radar Testbed phased-array radar. It is demonstrated that, compared to conventional matched-filter processing, range oversampling can be used to reduce scan update times by a factor of 2 while producing meteorological data with similar quality. Adaptive range oversampling uses moment-specific transformations to minimize the variance of meteorological variable estimates. An efficient algorithm is introduced that allows for seamless integration with other signal processing functions and reduces the computational burden. Through signal processing, a new dimension is added to the traditional trade-off triangle that includes the variance of estimates, spatial coverage, and update time. That is, by trading an increase in computational complexity, data with higher temporal resolution can be collected and the variance of estimates can be improved without affecting the spatial coverage.

HYBRID MIMO PHASED ARRAY RADAR RECEIVE SIGNAL PROCESSING

2016 ◽  
Author(s):  
Marco La Manna
Keyword(s):  
Signal Processing ◽  
Phased Array ◽  
Receive Signal ◽  
Phased Array Radar

scholarly journals Optimal True Time Delay Filter With Application to FPGA Firmware‐Based Phased Array Radar Signal Processing

Radio Science ◽  
2019 ◽  
Vol 54 (9) ◽  
pp. 810-821
Author(s):  
Markku Lehtinen ◽  
Baylie Damtie ◽  
Mikko Orispää
Keyword(s):  
Signal Processing ◽  
Time Delay ◽  
Phased Array ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Phased Array Radar ◽  
True Time Delay ◽  
True Time

Dual-polarization challenges in weather radar requirements for multifunction phased array radar

2013 ◽  
Author(s):  
Caleb Fulton ◽  
Jeff Herd ◽  
Shaya Karimkashi ◽  
Guifu Zhang ◽  
Dusan Zrnic
Keyword(s):  
Phased Array ◽  
Weather Radar ◽  
Dual Polarization ◽  
Phased Array Radar

High-Temporal-Resolution Capabilities of the National Weather Radar Testbed Phased-Array Radar

2011 ◽  
Vol 50 (3) ◽  
pp. 579-593 ◽  
Author(s):  
Pamela L. Heinselman ◽  
Sebastián M. Torres
Keyword(s):  
Temporal Resolution ◽  
Phased Array ◽  
Weather Radar ◽  
High Temporal Resolution ◽  
Data Archiving ◽  
Phased Array Radar ◽  
Control Interface ◽  
Trade Offs ◽  
Address Data ◽  
Processing Techniques

Abstract Since 2007 the advancement of the National Weather Radar Testbed Phased-Array Radar (NWRT PAR) hardware and software capabilities has been supporting the implementation of high-temporal-resolution (∼1 min) sampling. To achieve the increase in computational power and data archiving needs required for high-temporal-resolution sampling, the signal processor was upgraded to a scalable, Linux-based cluster with a distributed computing architecture. The development of electronic adaptive scanning, which can reduce update times by focusing data collection on significant weather, became possible through functionality added to the radar control interface and real-time controller. Signal processing techniques were implemented to address data quality issues, such as artifact removal and range-and-velocity ambiguity mitigation, absent from the NWRT PAR at its installation. The hardware and software advancements described above have made possible the development of conventional and electronic scanning capabilities that achieve high-temporal-resolution sampling. Those scanning capabilities are sector- and elevation-prioritized scanning, beam multiplexing, and electronic adaptive scanning. Each of these capabilities and related sampling trade-offs are explained and demonstrated through short case studies.

scholarly journals Multipatterns of the National Weather Radar Testbed Mitigate Clutter Received via Sidelobes

2011 ◽  
Vol 28 (3) ◽  
pp. 401-409 ◽  
Author(s):  
Guifu Zhang ◽  
Yinguang Li ◽  
Richard J. Doviak ◽  
Dave Priegnitz ◽  
John Carter ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Phased Array ◽  
Weather Radar ◽  
Main Lobe ◽  
Mean Power ◽  
Sample Mean ◽  
Ground Clutter ◽  
Phased Array Radar ◽  
Weather Observations

Abstract The phased-array radar (PAR) of the National Weather Radar Testbed (NWRT) has a unique hybrid (mechanical and electrical) azimuth scan capability, allowing weather observations with different antenna patterns. Observations show the standard deviation of the sample mean power of weather echoes received through the main lobe of a set of squinted beams is less than the clutter received via sidelobes. This then allows use of a multipattern technique to cancel sidelobe echoes from moving scatterers, echoes that cannot be filtered with a ground-clutter canceler. Although the multipattern technique was developed to cancel clutter received through sidelobes, results show clutter from objects moving within the beam can also be canceled.

scholarly journals Rapid-Scan Radar Observations of an Oklahoma Tornadic Hailstorm Producing Giant Hail

2018 ◽  
Vol 33 (5) ◽  
pp. 1263-1282 ◽  
Author(s):  
Arthur Witt ◽  
Donald W. Burgess ◽  
Anton Seimon ◽  
John T. Allen ◽  
Jeffrey C. Snyder ◽  
...  
Keyword(s):  
Phased Array ◽  
Rotational Velocity ◽  
Weather Radar ◽  
Dual Polarization ◽  
Radar Observations ◽  
Rapid Scan ◽  
Phased Array Radar ◽  
X Band ◽  
Low Altitude ◽  
Rapid Scanning

Abstract Rapid-scan radar observations of a supercell that produced near-record size hail in Oklahoma are examined. Data from the National Weather Radar Testbed Phased Array Radar (PAR) in Norman, Oklahoma, are used to study the overall character and evolution of the storm. Data from the nearby polarimetric KOUN WSR-88D and rapid-scanning X-band polarimetric (RaXPol) mobile radar are used to study the evolution of low- to midaltitude dual-polarization parameters above two locations where giant hailstones up to 16 cm in diameter were observed. The PAR observation of the supercell’s maximum storm-top divergent outflow is similar to the strongest previously documented value. The storm’s mesocyclone rotational velocity at midaltitudes reached a maximum that is more than double the median value for similar observations from other storms producing giant hail. For the two storm-relative areas where giant hail was observed, noteworthy findings include 1) the giant hail occurred outside the main precipitation core, in areas with low-altitude reflectivities of 40–50 dBZ; 2) the giant hail was associated with dual-polarization signatures consistent with past observations of large hail at 10-cm wavelength, namely, low ZDR, low ρHV, and low KDP; 3) the giant hail fell along both the northeast and southwest edges of the primary updraft at ranges of 6–10 km from the updraft center; and 4) with the exception of one isolated report, the giant hail fell to the northeast and northwest of the large tornado and the parent mesocyclone.

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