Interference-to-noise ratio evaluation method of blind single of orthogonal frequency division multiplexing (OFDM) system under pulse interference environment

Abstract

The invention discloses an interference-to-noise ratio evaluation method of a blind signal of an orthogonal frequency division multiplexing (OFDM) system under the pulse interference environment. The interference-to-noise ratio evaluation method includes: by solving a period autocorrelation function of a receiving signal on a receiving end of the OFDM system, analyzing energy distribution rules of period autocorrelation functions of transmitting signals, pulse interference signals and white Gaussian noises, choosing proper delay variables and circulation frequency, effectively separating signal power and interference and noise power, and then accurately and effectively evaluating the estimated value of the interference-to-noise ratio of the blind signal in a signal transmission process according to definition of the interference-to-noise ratio of the signal. The interference-to-noise ratio evaluation method is low in calculation complexity and high in evaluation accuracy, can effectively improve frequency band utilization ratio in today which is severely deficient in frequency spectrum resources, saves band width resources, and can accurately and effectively improve quality of a communication system in terms of the OFDM system severely influenced by pulse interference.

Description

technical field [0001] The invention relates to a method for estimating a signal-to-interference-to-noise ratio, in particular to a method for estimating a blind signal-to-interference-to-noise ratio in an OFDM (Orthogonal Frequency Division Multiplexing) system under a pulsed interference environment. Background technique [0002] The interference problem is one of the important factors affecting performance indicators such as the transmission rate and quality of the wireless communication network, so the interference problem has always been paid attention to. In the actual environment, there are many interferences, which are mainly divided into internal interference and external interference of the communication system. The internal interference of the communication system mainly includes co-channel interference, adjacent frequency interference, multiple access interference, etc.; the external interference of the communication system comes from nature, including pulse inte...

AI Technical Summary

Problems solved by technology

These two types of estimation methods have their own advantages and disadvantages. The estimation method based on data aids has better estimation performance, but it needs to synchronize the transmitted pilot sequence with the receiving end or complete the receiving judgment at the receiving end to perform estimation; while the estimation method based on non-data aided The method, that is, the blind signal-to-interference-noise ratio estimation method does not need to send pilot sequences, which improves the spectrum utilization rate, and does not need to be synchronized with the receiving end and complete the decision. Therefore, it has a wide application prospect in the current situation where spectrum resources are gradually scarce. However, the existing blind SINR estimation method has a large computational complexity and takes a long time to estimate. On the other hand, there is no relevant research on the blind SINR estimation method in the impulsive interference environment.

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