Clutter-Contaminated Signal Recovery in Spectral Domain for Polarimetric Weather Radar

Yin, Jiapeng; Schleiss, M.A.; Wang, Xuesong

doi:10.1109/LGRS.2021.3063355

Clutter-Contaminated Signal Recovery in Spectral Domain for Polarimetric Weather Radar

Title

Clutter-Contaminated Signal Recovery in Spectral Domain for Polarimetric Weather Radar

Author

Yin, Jiapeng (National University of Defense Technology)
Schleiss, M.A. (TU Delft Atmospheric Remote Sensing)
Wang, Xuesong (National University of Defense Technology)

Date

2021

Abstract

The use of spectral polarimetric filters in the range-Doppler domain shows great promise for clutter mitigation in weather radar applications. One limitation of these filters is that they cannot deal with situations in which ground clutter and precipitation overlap. In this letter, we propose a new signal recovery technique based on kriging in the spectral domain to recover the precipitation in clutter-contaminated areas. Using synthetic radar data, we test our new method and compare its performance to that of Gaussian model adaptive processing and bilinear interpolation. Our results indicate that kriging is the most accurate and robust technique out of the three.

Subject

Clutter-contaminated
ground clutter (GC)
kriging
signal recovery
spectral-polarimetry
weather radar

To reference this document use:

http://resolver.tudelft.nl/uuid:ad181111-30bb-4235-9735-e50d427da003

DOI

https://doi.org/10.1109/LGRS.2021.3063355

ISSN

1545-598X

Source

IEEE Geoscience and Remote Sensing Letters, 19 (2022)

Part of collection

Institutional Repository