Research of Signal Processing Method for Air Traffic Control Primary Surveillance Radar
Due to the radar data obtained by the Air Traffic Control primary surveillance radar containing outliers,interference,or missing data points,it is necessary to select appropriate processing methods to obtain valid measurements.This article designs and verifies four radar signal processing methods,including Linear regression,Butterworth low-pass filtering,zero-phase shift filtering,and segmented filtering.Using the linear regression method,abnormal data is eliminated and compensated.After applying Butterworth low-pass filtering,high-frequency noise is removed,resulting in a smooth curve without burrs,but there is a lag in the results and disturbances in the initial part.Zero-phase shift filtering resolves the interference of high-frequency noise but it also suppresses the waveform and signal peaks.Finally,a segmented filtering method is designed,which combines low-pass filtering and linear regression.The data is segmented,with the peak portions processed using linear regression and the remaining portions filtered using a low-pass filter.This approach not only preserves the peak of the radar signal and avoids waveform suppression,but also removes high-frequency noise,laying the foundation for subsequent calculations and analysis.
signal processingprimary surveillance radarair traffic controlfiltering
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