TY - JOUR
T1 - A Weather Radar Ground Clutter Suppression Method Using Adaptive Coherent Pulse Integration
AU - Wang, Rui
AU - Mao, Huafeng
AU - Cui, Kai
AU - Yan, Zujing
AU - Li, Yunlong
AU - Wu, Dongli
AU - Hu, Cheng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2024
Y1 - 2024
N2 - Ground clutter poses a significant challenge to the accuracy of weather radar products, especially for aeroecology monitoring. Operational weather radar commonly employs a fixed coherent pulse integration (CPI) for clutter suppression. However, the phenomenon of strong clutter spanning multiple CPIs can result in severe spectral leakage. The independent implementation of clutter suppression within each CPI fails to fully utilize clutter data, significantly compromising clutter suppression effectiveness. Therefore, we propose an adaptive coherent pulse integration (ACPI) method based on the amplitude-phase characteristics of echoes in azimuth. Clutter and nonclutter regions are determined firstly based on the stability of the echo phase in azimuth. Then, the clutter region is further subdivided using phase discontinuities and amplitude notches between different clutter areas. Finally, an appropriate CPI can be assigned to each strong clutter instance. The effectiveness and the practicality of the ACPI are verified through the simulations and measured data from Chinese operational weather radar.
AB - Ground clutter poses a significant challenge to the accuracy of weather radar products, especially for aeroecology monitoring. Operational weather radar commonly employs a fixed coherent pulse integration (CPI) for clutter suppression. However, the phenomenon of strong clutter spanning multiple CPIs can result in severe spectral leakage. The independent implementation of clutter suppression within each CPI fails to fully utilize clutter data, significantly compromising clutter suppression effectiveness. Therefore, we propose an adaptive coherent pulse integration (ACPI) method based on the amplitude-phase characteristics of echoes in azimuth. Clutter and nonclutter regions are determined firstly based on the stability of the echo phase in azimuth. Then, the clutter region is further subdivided using phase discontinuities and amplitude notches between different clutter areas. Finally, an appropriate CPI can be assigned to each strong clutter instance. The effectiveness and the practicality of the ACPI are verified through the simulations and measured data from Chinese operational weather radar.
KW - Adaptive coherent pulse integration (ACPI)
KW - ground clutter suppression
KW - weather radar
UR - http://www.scopus.com/inward/record.url?scp=85188669830&partnerID=8YFLogxK
U2 - 10.1109/JSTARS.2024.3379126
DO - 10.1109/JSTARS.2024.3379126
M3 - Article
AN - SCOPUS:85188669830
SN - 1939-1404
VL - 17
SP - 7179
EP - 7192
JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
M1 - 10475430
ER -