Method and system for estimating noise based on signal elimination

Abstract

The invention provides a method for estimating noise based on signal elimination. The method comprises the following steps of: receiving a signal sequence and carrying out fast fourier transform (FFT) to obtain a frequency domain sequence; carrying out symbol timing offset estimate on the transformed frequency domain sequence; obtaining the sampling value of optimum sampling points by an interpolation algorithm; calculating the average value of the optimum sampling values of multiple repeated sequences, and normalizing to a standard value; and calculating noise in the sequences and calculating a signal-to-noise ratio. The invention correspondingly provides a system for estimating noise based on signal elimination. The method and the system, provides by the invention are helpful in quickly obtaining accurate signal-to-noise ratio.

Description

technical field [0001] The present invention relates to the communication field, in particular to a method and system for noise estimation based on signal elimination. Background technique [0002] SNR estimation is a very important technology in communication systems, which involves channel decoding, channel estimation and other issues. At present, the technology of SNR estimation is mainly applied to multi-carrier systems, especially OFDM systems. Among them, the better algorithms include transform domain-based SNR estimation algorithm, Boumard algorithm widely used in the field of wireless communication, SSM SNR estimation algorithm commonly used in communication field, estimation algorithm based on subspace decomposition, maximum Likelihood estimation algorithm, etc. Specifically, the SNR estimation algorithm based on the transform domain and the Boumard algorithm are mainly used in the MBMS system, but these algorithms will cause a relatively obvious Doppler frequency...

AI Technical Summary

Problems solved by technology

Specifically, the SNR estimation algorithm based on the transform domain and the Boumard algorithm are mainly used in the MBMS system, but these algorithms will cause a relatively obvious Doppler frequency shift effect when the terminal moves, resulting in an error in the final SNR bigger

However, the SNR estimation algorithm for segmented symbol moments, the estimation algorithm based on subspace decomposition, and the maximum likelihood estimation algorithm either require an accurate timing environment or require a large number of symbols, resulting in a large amount of calculation, etc.

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