Method and system for detecting channel noise

Abstract

The embodiment of the invention discloses a method and a system for detecting channel noise. The method comprises the following steps that: spread spectrum code positions of spread spectrum codes relative to an interference channel, signal energy of which needs to be eliminated, on a code tree are grouped, wherein the grouping is in accordance with that the spread spectrum code positions can be offset after each group of spread spectrum code positions is subjected to algebraic operation according to a distribution regularity; the code tree is a code tree of the pre-obtained spread spectrum codes of a channel to be detected; and, according to a grouping result, the noise energy of various types of paths on the channel to be detected is calculated. By using the method or the system disclosed by the embodiment of the invention, because of adopting a spread spectrum code grouping manner in a noise calculating process, the spread spectrum code positions can be eliminated by performing the algebraic operation according to the distribution regularity of each group of spread spectrum code positions; therefore, the signal energy of the interference channel can be offset by eliminating the spread spectrum code positions; and, compared with the prior art, the noise of the channel to be detected can be calculated more accurately.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and system for detecting channel noise. Background technique [0002] At present, in UMTS (Universal Mobile Telecommunications System, universal mobile communication system) each path noise detection, for example the detection of each path noise of DPCCH (Dedicated Physical Control Channel, dedicated physical control channel), can be by estimating each path after despreading of DPCCH One symbol-level noise energy per slot is obtained. [0003] Specifically, in practical applications, after DPCCH descrambling and despreading, the variance of the DPCCH descrambling and despreading signals on each path in a time slot is first calculated to obtain the symbol-level noise energy of each path DPCCH, for example, through the formula ( 1) estimate σ 1 , DPCCH 2 , ...

AI Technical Summary

Problems solved by technology

[0013] It can be seen from the formula (4) that there is still a coefficient of 64 in the calculation result of the variance, indicating that the calculation result of the variance is too large, which means that the method for detecting noise in the prior art will make the detected noise In the case of distortion, that is, the accuracy of the prior art methods of detecting noise is very low

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