Noise estimation and threshold judgment method based on probability

Abstract

The invention provides a noise estimation and threshold judgment method based on a probability. The method comprises the following steps of obtaining a maximum probability amplitude value [mu] of a communication signal in a predetermined time period and a corresponding probability f([mu]), wherein a calculation formula of a noise amplitude variance delta is as shown in the description, a calculation formula of a noise probability P beyond a threshold is P=F([mu]-m)+(1-F([mu]+m)), m is the threshold, F([mu]-m) is a normal distribution probability value when the amplitude value is [mu]-m, and F([mu]+m) is a normal distribution probability value when the amplitude value is [mu]+m. According to the noise estimation and threshold judgment method based on the probability, as a threshold judgmentbasis for any variable obeying normal distribution, the corresponding threshold is calculated out according to the required probability in the process of designing the judgment threshold.

Description

technical field [0001] The invention belongs to the field of signal detection, and in particular relates to a probability-based noise estimation and threshold judgment method. Background technique [0002] In modern communication technology, noise estimation is an important work of signal detection. in the course of communication. Gaussian white noise has the same intensity at all frequency points, and the magnitude probability density of Gaussian white noise obeys a normal distribution. The central limit theorem proves that if a sufficient number of random events occur simultaneously, no matter what distribution the individual random events follow, the sum of the random events follows a normal distribution. Therefore, there are many types of noise in the communication process, but Gaussian white noise is the most extensive. Estimation of Gaussian noise that obeys normal distribution and signal threshold decision become unavoidable subjects at the communication receiving ...

AI Technical Summary

Problems solved by technology

[0003] The noise detection used in the current communication system will carry signal energy, and the simple noise estimation method will estimate part of the useful signal as noise, resulting in inaccurate noise estimation and poor real-time performance

[0004] In the past, the method of averaging the data used to calculate the mean value of noise is actually to calculate all the data as noise data, and the statistical noise of this method is not accurate

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