Signal-to-noise ratio estimating method in mobile communication system and system thereof

Abstract

The invention discloses a signal to noise ratio estimation method in a mobile communication system and a system thereof. The method comprises the following steps: A. when a communication network in the mobile communication system is established, demodulation and hard decision are carried out to symbols output by joint detection of an M-step quadrature amplitude modulation constellation diagram; B. after the demodulation and hard decision are carried out to symbols output by joint detection, a module value of a corresponding point on the M-step quadrature amplitude modulation constellation diagram of a corresponding bit of each symbol output by joint detection is calculated; C. amplitude normalization is carried out to the symbols output by the joint detection by utilizing the module valueof a corresponding point on the M-step quadrature amplitude modulation constellation diagram of a corresponding bit of each symbol output by joint detection; D. signal power and noise power of the communication network in the mobile communication system are calculated; and E. the signal to noise ratio of the symbols output by the joint detection is estimated. The invention improves the accuracy and effectiveness of the estimation of the signal to noise ratio in the mobile communication system.

Description

technical field The present invention relates to the field of communications, and in particular, to a method for estimating a signal-to-noise ratio in a mobile communication system and a system thereof. Background technique In the third-generation mobile communication system, in order to provide higher-speed uplink packet services and improve spectrum utilization efficiency, 3GPP (3rd Generation Partnership Project, the third generation partnership organization plan) in WCDMA (Wideband Code Division Multiple Access, wideband code division In the specification of multiple access) and TD-CDMA (Time Division-Code Division Multiple Access, time division-code division multiple access) systems, HSDPA (High Speed ​​Downlink Packet Access, high-speed downlink packet access) technology and HSUPA (High Speed ​​Downlink Packet Access) technology are introduced. Speed ​​Uplink Packet Access, high-speed uplink packet access) feature, that is, the uplink enhancement feature. Since high-...

AI Technical Summary

Problems solved by technology

In the document titled "TS 25.223 Spreading and modulation (TDD), V4.5.0, 3GPP (Technical Specification 25.223 Spreading and modulation (Time DivisionDuplex)), 3G Time Division Duplex Technical Specification 25.223 Spreading and Modulation", it is described that MQAM is A way of combining amplitude and phase, that is, in addition to changes in phase, the amplitude is also different. The change of the symbol amplitude at the receiving end is not only the impact of noise, but also the change of the amplitude of the symbol itself. It brings certain difficulty to the demodulation signal-to-noise ratio estimation at the receiving end.

However, in the prior art, there is no effective MQAM signal-to-noise ratio estimation scheme

In summary, the existing MQAM signal-to-noise ratio estimation has defects. In actual use, there are obviously inconveniences and defects, so it is necessary to improve it

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