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SNR estimation method based on transform domain in mbms system

A technology of signal-to-noise ratio estimation and transform domain, which is applied in the field of signal-to-noise ratio estimation based on transform domain, can solve problems such as difficult to apply to MBMS system, and achieve the effect of guaranteed performance, stable performance and good robustness

Inactive Publication Date: 2011-12-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for estimating the SNR based on the transform domain in the MBMS system, which uses the characteristics of the system itself in the transform domain to realize the SNR estimation in the MBMS system, thereby solving the problem of the existing SNR estimation method. Problems Difficult to Apply to MBMS System

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  • SNR estimation method based on transform domain in mbms system
  • SNR estimation method based on transform domain in mbms system
  • SNR estimation method based on transform domain in mbms system

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Embodiment 1

[0033] Such as figure 1 As shown, it is assumed that there are 300 subcarriers in the frequency domain in a certain MBSFN frame structure of the MBMS system, wherein M=150 pilots are evenly and spacedly inserted into the frequency domain. The SNR estimation method based on the transform domain in the MBMS system of the present invention is used to estimate the SNR of the above system, mainly because the channel energy will become concentrated in the transform domain, so that the channel energy is very low. domain points, while the noise has the same distribution characteristics in the transform domain to estimate the overall SNR of the system. The specific implementation steps are as follows:

[0034] Step 1: The receiving end uses the LS channel estimation algorithm to obtain the frequency domain channel of the pilot point

[0035] H ^ LS [ k ′ , ...

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Abstract

The invention discloses a transform domain-based signal-to-noise ratio estimation method in an MBMS system, belongs to the signal-to-noise ratio estimation technology in the field of communication technology, and mainly solves the problems that the estimation method in the prior art is difficult to adapt to the special environment of the MBMS system. The SNR estimation method based on transform domain in the MBMS system includes the following steps: (1) using the LS channel estimation algorithm to obtain the frequency domain channel of the pilot point; (2) transforming the frequency domain channel of the estimated pilot point (3) Calculate the noise energy in the frequency domain; (4) Calculate the signal energy in the frequency domain; (5) Obtain the signal-to-noise ratio in the transform domain. The invention skillfully utilizes the characteristics of the MBMS system in the transform domain to realize the estimation of the signal-to-noise ratio, solves the problem that the existing signal-to-noise ratio estimation method is difficult to adapt to the MBMS system, and ensures the stability of the MBMS system signal-to-noise ratio estimation .

Description

technical field [0001] The present invention relates to a method for estimating the signal-to-noise ratio, in particular to a method for estimating the signal-to-noise ratio based on transform domain in the MBMS system in the field of mobile communication. Background technique [0002] In mobile communication, channel SNR estimation is a very important technology, which is mainly used in channel decoding and channel estimation. The earliest SNR estimation research mainly focused on single-carrier systems, but since both LTE-A and WiMax use OFDM modulation, multi-carrier SNR estimation has also received more and more attention. [0003] In order to meet the needs of wireless OFDM systems, some researches have been carried out on the estimation algorithm of signal-to-noise ratio of wireless OFDM system in recent years. Among them, the algorithms with better performance mainly include Boumard algorithm and XU algorithm. The main idea of ​​the Boumard algorithm is to assume tha...

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Application Information

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IPC IPC(8): H04L25/02H04L27/26
Inventor 席晓琳岳刚张忠培
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA