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Dive into the research topics where Matthew McLinden is active.

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Featured researches published by Matthew McLinden.


Journal of Applied Meteorology and Climatology | 2013

Airborne Radar Observations of Severe Hailstorms: Implications for Future Spaceborne Radar

Gerald M. Heymsfield; Lin Tian; Lihua Li; Matthew McLinden; Jaime I. Cervantes

AbstractA new dual-frequency (Ku and Ka band) nadir-pointing Doppler radar on the high-altitude NASA ER-2 aircraft, called the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), has collected data over severe thunderstorms in Oklahoma and Kansas during the Midlatitude Continental Convective Clouds Experiment (MC3E). The overarching motivation for this study is to understand the behavior of the dual-wavelength airborne radar measurements in a global variety of thunderstorms and how these may relate to future spaceborne-radar measurements. HIWRAP is operated at frequencies that are similar to those of the precipitation radar on the Tropical Rainfall Measuring Mission (Ku band) and the upcoming Global Precipitation Measurement mission satellites dual-frequency (Ku and Ka bands) precipitation radar. The aircraft measurements of strong hailstorms have been combined with ground-based polarimetric measurements to obtain a better understanding of the response of the Ku- and Ka-band radar to the vert...


ieee aerospace conference | 2011

Development of the NASA High-Altitude Imaging Wind and Rain Airborne Profiler

Lihua Li; Gerald M. Heymsfield; James R. Carswell; Dan Schaubert; Matthew McLinden; Manuel Vega; Martin Perrine

The scope of this paper1 is the development and recent field deployments of the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which was funded under the NASA Instrument Incubator Program (IIP) [1]. HIWRAP is a dual-frequency (Ka- and Ku-band), dual-beam (30° and 40° incidence angles), conical scanning, Doppler radar system designed for operation on the NASA high-altitude (65,000 ft) Global Hawk Unmanned Aerial System (UAS). It utilizes solid state transmitters along with a novel pulse compression scheme that results in a system with compact size, light weight, less power consumption, and low cost compared to radars currently in use for precipitation and Doppler wind measurements. By combining measurements at Ku- and Ka-band, HIWRAP is able to image winds through measuring volume backscattering from clouds and precipitation. In addition, HIWRAP is also capable of measuring surface winds in an approach similar to SeaWinds on QuikScat. To this end, HIWRAP hardware and software development has been completed. It was installed on the NASA WB57 for instrument test flights in March, 2010 and then deployed on the NASA Global Hawk for supporting the Genesis and Rapid Intensification Processes (GRIP) field campaign in August-September, 2010. This paper describes the scientific motivations of the development of HIWRAP as well as system hardware, aircraft integration and flight missions. Preliminary data from GRIP science flights is also presented.


IEEE Transactions on Geoscience and Remote Sensing | 2016

The NASA High-Altitude Imaging Wind and Rain Airborne Profiler

Lihua Li; Gerald M. Heymsfield; James R. Carswell; Daniel H. Schaubert; Matthew McLinden; Justin Creticos; Martin Perrine; Michael Coon; Jaime I. Cervantes; Manuel Vega; Steve Guimond; Lin Tian; Amber E. Emory

The High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) is a dual-frequency (Ka- and Ku-bands), dual-beam (30° and 40° incidence angles), and conical scanning Doppler radar designed for operation on the NASA high-altitude (~19 km) Global Hawk Unmanned Aerial System. HIWRAP was developed under the support of the NASA Instrument Incubator Program for studies of tropical storms and severe weather events. It utilizes solid-state transmitters along with a novel transmit and receive waveform scheme that results in a system with compact size, light weight, less power consumption, and lower cost compared to radars currently in use for precipitation and Doppler wind measurements. By combining volume backscattering measurements at Ku- and Ka-bands, HIWRAP is capable of imaging radar reflectivity and 3-D wind fields in clouds and precipitation. In addition, HIWRAP is also capable of measuring surface winds in an approach similar to SeaWinds on QuikSCAT. HIWRAP operating frequencies are similar to those used by the NASA Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar, making it suitable for providing airborne validation data for the GPM mission. This paper describes the scientific motivation for the development of HIWRAP as well as the system hardware, aircraft integration, and recent flight activities. Data from recent science flights are also presented.


IEEE Geoscience and Remote Sensing Letters | 2013

Utilizing Versatile Transmission Waveforms to Mitigate Pulse-Compression Range Sidelobes With the HIWRAP Radar

Matthew McLinden; James R. Carswell; Lihua Li; Gerald M. Heymsfield; Amber E. Emory; Jaime I. Cervantes; Lin Tian

The NASA Goddard Space Flight Center (GSFC) High-altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) is a solid-state dual frequency Doppler radar funded by the NASA Instrument Incubator Program. It uses direct-digital-synthesizer devices to generate versatile waveforms including conventional pulses and linear frequency modulation (LFM) chirps. This letter describes a waveform used by the GSFC and the Remote Sensing Solutions to address the critical limitations of range sidelobes and blind ranges in airborne pulse-compression radar. By utilizing a frequency diversity waveform consisting of two pulses and an LFM chirp at each transmit cycle, this system provides the improved sensitivity and range resolution benefits of pulse compression on targets within the middle and high altitudes while maintaining conventional pulsed data near the radar and the surface. The data obtained by the HIWRAP during the NASA Midlatitude Continental Convective Clouds Experiment using this waveform scheme are presented.


ieee international symposium on phased array systems and technology | 2016

Concept design of a multi-band shared aperture reflectarray/reflector antenna

Thomas Spence; Michael Cooley; Peter Stenger; Richard Park; Lihua Li; P. Racette; Gerald M. Heymsfield; Matthew McLinden

A scalable dual-band (Ka/W) shared-aperture antenna system design has been developed as a proposed solution to meet the needs of the planned NASA Earth Science Aerosol, Clouds, and Ecosystem (ACE) mission. The design is comprised of a compact Cassegrain reflector/reflectarray with a fixed pointing W-band feed and a cross track scanned Ka-band Active Electronically Scanned Array (AESA). Critical Sub-scale prototype testing and flight tests have validated some of the key aspects of this innovative antenna design, including the low loss reflector/reflectarray surface. More recently the science community has expressed interest in a mission that offers the ability to measure precipitation in addition to clouds and aerosols. In this paper we present summaries of multiple designs that explore options for realizing a tri-frequency (Ku/Ka/W), shared-aperture antenna system to meet these science objectives. Design considerations include meeting performance requirements while emphasizing payload size, weight, prime power, and cost. The extensive trades and lessons learned from our previous dual-band ACE system development were utilized as the foundation for this work.


IEEE Transactions on Geoscience and Remote Sensing | 2015

Reduced Image Aliasing With Microwave Radiometers and Weather Radar Through Windowed Spatial Averaging

Matthew McLinden; Edward J. Wollack; Gerald M. Heymsfield; Lihua Li

Microwave remote sensing instruments detect and image physical phenomena such as brightness temperature and volume reflectivity. The spatial resolution of these measurements is limited by the physical properties of the instrument such as the antenna size, the spatial scan pattern, and temporal sampling. Analysis shows that common sampling schemes undersample the spatial information present at the antenna. Here, we address methods to better capture the spatial information available by applying the Nyquist-Shannon sampling theory to the spatial averaging and sampling of remote sensing data. The use of overlapping windows for spatial averaging rather than treating pixels independently improves the image fidelity while maintaining the system sensitivity. Additionally, the sensitivity to spatially small targets can be maximized by matching the window shape to the antenna pattern. The spatial imaging of scanning radiometers, radars, and phased-array systems is addressed. These principles are demonstrated with the theory and data from the National Aeronautics and Space Administration Goddard Space Flight Centers High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) radar.


IEEE Transactions on Aerospace and Electronic Systems | 2015

Fast adaptive pulse compression based on matched filter outputs

Zhengzheng Li; Yan Zhang; Shang Wang; Lihua Li; Matthew McLinden


ieee radar conference | 2016

A frequency diversity pulse-pair algorithm for extending Doppler radar velocity Nyquist range

V. Venkatesh; Lihua Li; Matthew McLinden; Gerald M. Heymsfield; Michael Coon


Archive | 2016

A Multi-Frequency Wide-Swath Spaceborne Cloud and Precipitation Imaging Radar

Lihua Li; P. Racette; Gary Heymsfield; Matthew McLinden; Vijay Venkatesh; Michael Coon; Martin Perrine; Richard Park; Michael Cooley; Pete Stenger; Thomas Spence; Tom Retelny


37th Conference on Radar Meteorology | 2015

The Development and Performance of the NASA/GSFC W-band (94 GHz) Solid-State Cloud Radar System

Matthew McLinden

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Lihua Li

University of Maryland

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Michael Coon

Goddard Space Flight Center

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Martin Perrine

Goddard Space Flight Center

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P. Racette

Goddard Space Flight Center

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Jaime I. Cervantes

Goddard Space Flight Center

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James R. Carswell

University of Massachusetts Amherst

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Lin Tian

Morgan State University

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Amber E. Emory

Goddard Space Flight Center

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Manuel Vega

Colorado State University

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