Data Quality Control of Wind Profiler Radar Based on Extended Kalman Filter

Jia Qiang Li; Xing Juan Chen; Jin Li Chen

doi:10.4028/www.scientific.net/AMR.588-589.897

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589Data Quality Control of Wind Profiler Radar Based...

Data Quality Control of Wind Profiler Radar Based on Extended Kalman Filter

Abstract:

As a new type of Doppler wind radar, Wind profiler radar often suffers from a variety of meteorological factors. These interferences have great effect on the detection data precision, which leads to radar data quality problem. A data processing method based on Extended Kalman Filter (EKF) is presented in this paper, which focuses on the nonlinear problems of wind data of wind profiler radar. This method is the development of traditional Kalman Filter (KF) in practical engineering applications. To verify the validity of this first-order EKF from different situation, one day’s and one moment’s wind data are selected respectively, as examples for filtering. EKF is better for data processing of wind profiler radar and has some engineering application prospects.

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Periodical:

Advanced Materials Research (Volumes 588-589)

Pages:

897-901

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.588-589.897

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Online since:

November 2012

Authors:

Jia Qiang Li, Xing Juan Chen, Jin Li Chen

Keywords:

Data Quality Control, Extended Kalman Flter (EKF), Wind Profiler Radar

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