Based on the Minimum Variance Spectral Estimation of Radar Wind Profile Analysis
In this paper, we apply minimum variance method for removing automatically ground and intermittent clutter (airplane echo) from wind profiler radar data. Using the concept of discrete multi-resolution analysis and non-parametric estimation theory, we develop Doppler echo power spectral, which allow us to identify the coefficients relevant for clutter and to suppress them 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. 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.
Qi Luo and Yuanzhi Wang
J. Zhou et al., "Based on the Minimum Variance Spectral Estimation of Radar Wind Profile Analysis", Advanced Materials Research, Vols. 181-182, pp. 82-87, 2011