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Atmosphere 2018, 9(6), 234; https://doi.org/10.3390/atmos9060234

A Velocity Dealiasing Algorithm on Frequency Diversity Pulse-Pair for Future Geostationary Spaceborne Doppler Weather Radar

1
College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China
2
China Meteorological Administration, Key Laboratory of Atmospheric Sounding, Chengdu 610225, China
3
Meteorological Information and Technology Center, Chongqing Meteorological Bureau, Chongqing 401147, China
*
Author to whom correspondence should be addressed.
Received: 29 April 2018 / Revised: 8 June 2018 / Accepted: 14 June 2018 / Published: 15 June 2018
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Abstract

Velocity ambiguity is one of the main challenges in accurately measuring velocity for the future Geostationary Spaceborne Doppler Weather Radar (GSDWR) due to its short wavelength. The aim of this work was to provide a novel velocity dealiasing method for frequency diversity for the future implementation of GSDWR. Two different carrier frequencies were transmitted on the adjacent pulse-pair and the order of the pulse-pair was exchanged during the transmission of the next pulse-pair. The Doppler phase shift between these two adjacent pulses was estimated based on the technique of the frequency diversity pulse-pair (FDPP), and Doppler velocity was estimated on the sum of the Doppler phase within the adjacent pulse repetition time (PRT). From the theoretical result, the maximum unambiguous velocity estimated by FDPP is only decided by the interval time of the two adjacent pulses and radar wavelength. An echo signal model on frequency diversity was established to simulate echo signals of the GSDWR to verify the extension of the maximum unambiguous velocity and the accuracy of the velocity estimation for FDPP used on GSDWR. The study demonstrates that the FDPP algorithm can extend the maximum unambiguous velocity greater than the Stagger PRT method and the unambiguous range and velocity are no longer limited by the chosen value of pulse repetition frequency (PRF). In the Ka band, the maximum unambiguous velocity can be extended to 105 m/s when the interval time is 10 μs and most velocity estimation biases are less than 0.5 m/s. View Full-Text
Keywords: geostationary spaceborne doppler weather radar; velocity dealiasing; frequency diversity pulse-pair; velocity estimation accuracy geostationary spaceborne doppler weather radar; velocity dealiasing; frequency diversity pulse-pair; velocity estimation accuracy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Li, X.; Wang, C.; Qin, Z.; He, J.; Liu, F.; Sun, Q. A Velocity Dealiasing Algorithm on Frequency Diversity Pulse-Pair for Future Geostationary Spaceborne Doppler Weather Radar. Atmosphere 2018, 9, 234.

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