Method for estimating amplitude-to-noise ratio

Abstract

The invention provides a method for estimating an amplitude-to-noise ratio. The method comprises the following steps of: when a service of a user adopts an SF1 code channel, according to a principle that each virtual code channel uniformly carries out estimation on the amplitude-to-noise ratio, determining a unique amplitude-to-noise ratio estimation value of a virtual code channel corresponding to the SF1 code channel; when the service of the user adopts a non-SF1 code channel, if the user is in a non-interfering scene currently, determining a unique amplitude-to-noise ratio estimation value of a virtual code channel corresponding to the non-SF1 code channel according to the principle that each virtual code channel uniformly carries out estimation on the amplitude-to-noise ratio, otherwise determining an amplitude-to-noise ratio estimation value of each virtual code channel corresponding to the non-SF1 code channel according to a principle that each virtual code channel respectively carries out estimation on the amplitude-to-noise ratio. The adoption of the method can effectively improve signal decoding performance of a system.

Description

technical field [0001] The invention relates to a signal processing technology in a mobile communication system, in particular to a method for estimating the amplitude-to-noise ratio in a TD-SCDMA system. Background technique [0002] In a TD-SCDMA system, all transmission symbols of a user may use one or more sets of spreading sequences. For example, a code channel with a spreading factor (SF) of 8 (i.e. SF8) contains two sets of spreading sequences with a length of 8 in one scrambling period, that is, 16 chips; each spreading sequence is supplemented by 8 0 or prepending 8 0s to form two virtual code channels (referred to as virtual code channels) with a length of 16, which is equivalent to a spreading factor of 16 (ie SF16). Similarly, a code channel with an SF of 4 includes 4 virtual code channels; symbols on the same virtual code channel use the same spreading sequence, and symbols on different virtual code channels use different spreading sequences. [0003] The ampl...

AI Technical Summary

Problems solved by technology

[0005] In practical applications, under certain conditions, the amplitude-to-noise ratios of all virtual code channels of the same user should be the same, and according to the above method of estimating the amplitude-to-noise ratio of each virtual code channel separately, the actual value of each virtual code channel There are differences in the estimated value of the amplitude-to-noise ratio, so that when the signal is decoded based on the estimated value of the different amplitude-to-noise ratio, it will bring unnecessary performance loss