An Ultra-Low Distortion Navigation Signal Acquisition and Alias-Free Separation Method

Abstract

The invention discloses an ultra-low distortion navigation signal acquisition and non-aliasing separation method, which belongs to the technical field of signal processing. This method first uses the spectrum distribution clusters of signal and environmental interference to perform bandpass reconstruction, so that the monitored signal can be collected with high resolution and no aliasing, and then uses the standard test signal without distortion to complete the digital closed loop of the multi-channel signal transmission link Comparing and modeling the system transfer function of the transmission channel, and using the optimal fitting method to estimate the conditioning correction coefficient, so as to complete the ultra-low distortion correction of signal distortion, and finally use the prior signal component time-frequency domain characteristics to complete the mixed signal Ultra-low distortion quasi-blind source separation. This method can accurately map the link environment characteristics and signal multi-domain distortion effects, reduce the nonlinear deterioration of amplitude-frequency characteristics, the deterioration of orthogonality, the fluctuation of group delay and the aliasing of original data, and improve the accuracy of test data collected by navigation satellites. It can realize high-precision and high-reliability navigation signal monitoring and evaluation.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to an ultra-low distortion navigation signal acquisition and alias-free separation method, which can be used for monitoring and evaluating the quality of navigation satellite signals of high-gain antennas. Background technique [0002] The satellite navigation system is one of the three major information infrastructures alongside the Internet and mobile communications. The quality of navigation signals directly affects the security of spatio-temporal information in various industries. Among them, the abnormal quality of GPS and Galileo space signals in the United States and Europe is the main reason for the interruption of system services. Therefore, solving the problem of accurate monitoring and evaluation of signal quality in space is an important part of the safe operation of the global satellite navigation system. High-precision and high-reliability monitoring and eval...

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Problems solved by technology

[0003] However, because the link devices that collect monitoring and evaluation signal data are affected by environmental changes and component nonlinearities, frequency dispersion, delay variation, and frequency / channel consistency distortion will occur, which leads to fuzzy multi-dimensional attribute analysis results of real signals , which greatly affects the accuracy of signal quality anomaly detection

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