A Spectral Moment Estimation Method for Wind Profile Radar

Abstract:

Spectrum in the wind profile radar data processing, radar detection of low-level spectral data from the library there are usually clutter, intermittent clutter, clutter and atmospheric echoes magnetic mixed overlap situation. In order to effectively restrain and remove clutter and increase the wind profile radar detection range and accuracy, must be on the air back to the effective spectrum of the spectral moments estimation. Based on the wind profile radar Doppler echo power spectral analysis, maximum likelihood method based on estimated spectral data of radar echo spectrum method using MATLAB simulation analysis , compared with the conventional method of analysis to verify the feasibility and effectiveness of the algorithm, also, try the algorithm is applied to the complexity of the weather with a strong interference case of precipitation particles; Data analysis showed that the actual detection, from the library in the lower spectrum moment estimation has been improved significantly.

• Periodical: Advanced Materials Research (Volumes 179-180)
• Pages: 740-745
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.179-180.740
• Online since: January 2011
• Authors: Jian Xin Hui, Lei Wu, Yu Chun Gao, Jie Zhou
• Keywords: Atmospheric Propagation, Maximum Likelihood-Estimation (MLE), Radio Science, Signal Processing, Spectral Moment Estimation, Wind Profiler Radar

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