A satellite signal noise reduction processing method and device

Abstract

The embodiment of the invention provides a satellite signal noise reduction processing method and device. The method comprises the steps of calculating the PDF of an obtained satellite signal envelopeR1; determining the minimum value between the two extreme values of the PDF of the R1 as a noise threshold value; starting from the data of R1 to the end of the data of R1; shifting the rectangular window function to the right for i bits; multiplying the rectangular window function subjected to right shift for i bits by the R1; determining an i-th first sample according to the multiplication result, based on the envelope value of each sample point of the i-th first sample, if the i-th first sample is the shielded sample data, determining that the i-th second sample is shielded; if yes, abandoning the i-th first sample from the R1; obtaining a new envelope R2; respectively calculating the characteristic value of R1 and the characteristic value of R2, and if the mean square error of the characteristic value of R1 and the characteristic value of R2 are both less than a mean square error threshold, determining R2 as the envelope of the satellite signal after noise reduction processing, sothat the difference between the satellite signal envelope after noise reduction processing and the original satellite signal envelope can be reduced.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a noise reduction processing method and device for satellite signals. Background technique [0002] The distance between the satellite and the communication terminal leads to the low power of the satellite signal received on the ground, so noise is an influencing factor that cannot be ignored in satellite communication, and the modulus of the noise signal is usually low. [0003] In the prior art, the communication terminal processes satellite signal noise reduction mainly by calculating the average value of the satellite signal amplitude, setting a preset noise threshold value, the noise threshold value is smaller than the average value of the satellite signal amplitude, and then After the parity bit of the satellite signal is extracted into two sub-signals, and then fast Fourier transform is performed, the segment of the frequency-domain sub-signal whose modulus value is...

AI Technical Summary

Problems solved by technology

[0004] For mobile scenarios, communication terminals often receive satellite signals and are often blocked by obstacles. The satellite signal after Fourier transform has a low modulus when blocked. In the prior art, because of the obstacle The modulus of most segments of the occluded satellite signal is smaller than the average value of the satellite signal amplitude, so the occluded satellite signal segment in the moving scene is often screened out, so the filtered signal is subjected to an inverse fast Fourier transform Two new time-domain signals are obtained, and then merged into a new satellite signal in the order of odd and even. The PDF (ProbabilityDistribution Function, probability density function) of the envelope of the new satellite signal is quite different from the original satellite signal, and cannot accurately reflect the original satellite signal. The characteristics of the satellite signal, so the accuracy of the existing technology for noise reduction processing of the satellite signal is low

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