Compressive Sampling of Polarimetric Doppler Weather Radar Processing Via Inverse Fast Fourier Transform

Compressive Sampling of Polarimetric Doppler Weather Radar Processing Via Inverse Fast Fourier Transform

Polarimetric Doppler frequency-modulated continuous-wave weather radar produces a tremendous amount of data during the observation of atmospheric conditions. Using conventional signal processing method, the beat signals are sampled at Nyquist rate, so that the range signal can be reconstructed perfe...

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Bibliographic Details
Main Authors:	Rita Purnamasari, Andriyan Bayu Suksmono, Irma Zakia, Ian Joseph Matheus Edward
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Compressive sampling (CS) frequency modulated continuous wave (FMCW) inverse fast Fourier transform (IFFT) polarimetric Doppler weather radar (PDWR) sparse representation weather radar
Online Access:	https://ieeexplore.ieee.org/document/9435095/

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