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Waveform Concepts and Design for Weather Radar Network

Waveform Concepts and Design for Weather Radar Network

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Doppler weather radar has been a valuable tool for quantitative precipitation estimation. The received signal for volume targets composed of precipitation particles was described briefly. A short summary of the relation between the backscattering covariance matrix and the received signal covariance matrix that defines the basis of waveform diversity and agility for dual-polarization weather radars was presented. Weather radar observables are estimated from the received signal that is affected by many factors. The challenges associated with designing waveforms that provide reliable estimates of the weather radar observables were presented. The challenges include range-velocity ambiguity, ground clutter suppression, and sensitivity. In addition, these challenges are augmented when the operating frequencies are changed to attenuating frequencies such as X-band. Unlike hard target radars, the cause of attenuation is also the target that is being observed. Higher frequency radars are essential for large scale deployment of distributed collaborative systems. This chapter addressed various waveforms designed to mitigate specific challenges.

Inspec keywords: atmospheric precipitation; covariance matrices; Doppler radar; radar clutter; meteorological radar

Other keywords: higher frequency radars; sensitivity; waveform diversity; waveform concepts; dual-polarization weather radars; received signal covariance matrix; ground clutter suppression; weather radar network; attenuation; hard target radars; weather radar observables; distributed collaborative systems; quantitative precipitation estimation; precipitation particles; Doppler weather radar; backscattering covariance matrix; X-band

Subjects: Linear algebra (numerical analysis); Radar equipment, systems and applications

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