Estimation method for signal interference noise ratio in orthogonal frequency division multiplexing system

Abstract

The invention discloses an estimation method for a signal interference noise ratio in an orthogonal frequency division multiplexing (OFDM) system. Through obtaining a period self-correlation function of a received signal on a receiving end of the OFDM system, the energy distribution rule of a transmission signal, a radio frequency interference signal and the period self-correlation function of Gauss white noise is analyzed, the signal power can be effectively separated from the noise-added interference power by selecting an appropriate delay variable and a circulating frequency, and then according to the definition of the signal interference noise ratio, a signal interference noise ratio value during a signal transmission process is effectively estimated. By the adoption of the estimation method, the calculation complexity is low, the estimation precision is high, aiming to the situation that current frequency spectrum resource is gradually deficient, the utilization rate of a frequency band can be well increased, and under the environment of more serious radio frequency interference, performance of the communication system can be effectively improved.

Description

technical field [0001] The present invention relates to a method for estimating SINR, in particular to a method for estimating SINR in an OFDM (Orthogonal Frequency Division Multiplexing) system under a radio frequency interference environment. Background technique [0002] The interference problem is one of the important factors affecting the system 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 interference, radio frequency interference, etc. Radio frequenc...

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Problems solved by technology

[0004] There are different SINR estimation methods for different communication systems. At present, the research mainly focuses on the SINR estimation method based on the internal interference of the communication system, but there is no relevant report on the SINR estimation method for the external interference of the system.

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