Multifunction Phased Array Radar

Weadon, Mark; Heinselman, Pamela L.; Forsyth, Douglas E.; Kimpel, James F.; Benner, William; Torok, Garth S.

doi:10.1175/2008bams2666.1

Cited by 16 publications

(10 citation statements)

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“…Second, zero padding is applied to the waveform as well as the returned signal, to reach the nearest 2 k length in order to achieve the optimal FFT performance. Third, applying MF to the signals as in equations (1)(2)(3)(4)(5), with different implementations of FFT/iFFT and multiplication. Since the first two steps are common to all the implementations of the matched filter, time latencies are only measured from the third step.…”

Section: Cuda Blockmentioning

confidence: 99%

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Acceleration of generalized adaptive pulse compression with parallel GPUs

Cai

Zhang

2015

Radar Sensor Technology XIX; And Active and Passive Signatures VI

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Super-computing based on Graphic Processing Unit (GPU) has become a booming field both in research and industry. In this paper, GPU is applied as the main computing device on traditional RADAR super resolution algorithms. Comparison is provided between GPU and CPU as computing architecture and MATLAB, as a widely used scientific implementation, is also included as well as C++ implementation in demonstrations of CPU part in the comparison. Fundamental RADAR algorithms as matched filter and least square estimation (LSE) are used as standard procedure to measure the efficiency of each implementation. Based on the result in this paper, GPU shows an enormous potential to expedite the traditional process of RADAR super-resolution applications.

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Section: Cuda Blockmentioning

confidence: 99%

“…Application of pulse compression processing to large scale, long range weather and surveillance radars requires tremendous amount of computing power, such as in the Multi-functional Phased Array Radar (MPAR) [1]. Both "task parallelism" and "data parallelism" exist in such systems and have not been fully exploited.…”

Section: Introductionmentioning

confidence: 99%

Acceleration of generalized adaptive pulse compression with parallel GPUs

Cai

Zhang

2015

Radar Sensor Technology XIX; And Active and Passive Signatures VI

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show abstract

“…With the development of phased-array technology, the next generation of weather radars is likely to be multifunction phased-array radars (MPARs) supporting both aircraft and weather surveillance missions [1]- [3]. One potential advantage of a phased-array weather radar is that it can meet the constant demand for faster update times, which can increase warning lead times and improve forecasters' confidence [4].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Beamspace Processing for Phased-Array Weather Radars

Nai

Torres

Palmer

2016

IEEE Trans. Geosci. Remote Sensing

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The next generation of weather radars, which may also support other missions, is likely to be based on phased arrays that will utilize simultaneous receive beams to achieve the required update times. Some of the disadvantages of using simultaneous receive beams, such as higher two-way antenna radiation pattern sidelobes, can be mitigated by using adaptive beamforming. A majority of the existing adaptive beamforming algorithms are designed for point targets, and direct application to distributed scatterers (e.g., hydrometeors) can lead to significantly biased estimates of key radar variables. This paper presents an adaptive beamspace processing algorithm specifically designed for weathersurveillance radar applications. Through both simulated and real data, it is shown that the proposed adaptive beamspace processing algorithm can produce accurate and calibrated estimates of radar variables while also automatically rejecting interference signals.Index Terms-Adaptive signal processing, beamspace, meteorological radar, phased arrays.

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“…An X-band, phase/frequency electronically scanned U.S. Army airdefense radar with a 1.5 m 3 1.8 m antenna scanning at 1808 s 21 was recently converted for weather observations (Bluestein et al 2010;French et al 2013). Also, a U.S. Navy Spy-1 S-band phased array radar was recently acquired by the National Severe Storms Laboratory in Norman, Oklahoma, in order to develop adaptive beam-forming techniques for weather observations (Zrnic, D. S. et al 2007;Weadon et al 2009). The testing of a mobile, X-band, rapid imaging radar (Isom et al 2009), the atmospheric imaging radar (AIR), is in progress.…”

Section: Introductionmentioning

confidence: 99%

A Mobile Rapid-Scanning X-band Polarimetric (RaXPol) Doppler Radar System

Pazmany

Mead

Bluestein

et al. 2013

Journal of Atmospheric and Oceanic Technology

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A novel, rapid-scanning, X-band (3-cm wavelength), polarimetric (RaXPol), mobile radar was developed for severe-weather research. The radar employs a 2.4-m-diameter dual-polarized parabolic dish antenna on a high-speed pedestal capable of rotating the antenna at 1808 s 21 . The radar can complete a 10-elevation-step volume scan in about 20 s, while maintaining a 180-record-per-second data rate. The transmitter employs a 20-kW peak-power traveling wave tube amplifier that can generate pulse compression and frequencyhopping waveforms. Frequency hopping permits the acquisition of many more independent samples possible than without frequency hopping, making it possible to scan much more rapidly than conventional radars. Standard data products include vertically and horizontally polarized equivalent radar reflectivity factor, Doppler velocity mean and standard deviation, copolar cross-correlation coefficient, and differential phase. This paper describes the radar system and illustrates the capabilities of the radar through selected analyses of data collected in the U.S. central plains during the 2011 spring tornado season. Also noted are opportunities for experimenting with different signal-processing techniques to reduce beam smearing, increase sensitivity, and improve range resolution.

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Multifunction Phased Array Radar

Abstract: What: Upward of 180 experts from the federal government, private industry, and academia met to discuss the requirements, feasibility, and affordability of multifunction phased array radar as a replacement technology for the nation's legacy radar systems.

Cited by 16 publications

References 0 publications

Acceleration of generalized adaptive pulse compression with parallel GPUs

Acceleration of generalized adaptive pulse compression with parallel GPUs

Adaptive Beamspace Processing for Phased-Array Weather Radars

A Mobile Rapid-Scanning X-band Polarimetric (RaXPol) Doppler Radar System

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