Method and device for estimating bit error rate based on model matching

Abstract

The invention discloses a method and device for estimating bit error rate based on model matching. The method comprises the steps that an received signal is decoded to obtain a redundance-removed data block; the redundance-removed data block is verified and judged; when the redundance-removed data block is totally right according to verification and judgment, the redundance-removed data block is recoded to obtain a redundant data block; differences of the received signal and the redundant data block are compared to obtain bit error rate through calculation; a two-dimensional sample subset is constructed according to current signal to noise ratio of the received signal and the corresponding bit error rate; the two-dimensional sample subset is inquired according to expected receiving frequentness, an optimal bit error rate is matched and estimated, and the current bit error rate is output. According to the method and device for estimating the bit error rate based on the model matching, matching can be conducted from an alternative bit error curvilinear model according to the two-dimensional sample subset which is updated in real time, time-varying characteristics of a channel can be adapted, and the goal of ensuring reliable quality of an estimating communication link is achieved.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a method and device for estimating bit error rate based on model matching. Background technique [0002] The bit error rate estimation is mainly used to evaluate the quality of the communication link and provide an important reference for power control and other wireless resource scheduling. However, in wireless communication, the channel environment is complex and changeable, and the communication quality is also affected by many factors such as the status of the terminal and the deployment of surrounding stations. Various factors are intertwined together, making it very difficult to accurately estimate the bit error rate. [0003] First of all, the method of estimating the bit error rate from the simulation model is relatively common. For example, the variance of the soft bit information obtained by statistical demodulation is firstly estimated, and then the bit error rate...

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Problems solved by technology

The methods mentioned above have a common problem: all kinds of thresholds are based on simulation and the threshold values ​​are fixed, and cannot adapt to the changing channel model in real time, so the effect is not good

[0004] Some bit error rate estimation methods estimate the bit error rate by demodulating the pilot signal and using the knownness of the pilot signal. This method requires a large amount of calculation (taking GSM as an example, this method increases the calculation overhead by 18.3% ), in addition, this method also has other problems such as bit error rate estimation accuracy and low estimation resolution

[0005] There is also a bit error rate estimation method. Through pre-simulation, the mapping relationship between C / I and bit error is established in each channel environment, and the bit error rate is obtained by querying the mapping relationship after estimating C / I. Although this method It can enrich the mapping relationship model to a certain extent, but it does not provide a method for selecting the best matching model from the alternative models in real time. In the end, it can only choose a model based on human judgment and solidify it for application, which greatly limits its application. Scenes

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