CN111262808B - Peak clipping method based on distribution function in wireless base station - Google Patents
Peak clipping method based on distribution function in wireless base station Download PDFInfo
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- CN111262808B CN111262808B CN201911313206.9A CN201911313206A CN111262808B CN 111262808 B CN111262808 B CN 111262808B CN 201911313206 A CN201911313206 A CN 201911313206A CN 111262808 B CN111262808 B CN 111262808B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2614—Peak power aspects
Abstract
The invention provides a peak clipping method based on a distribution function in a wireless base station, which comprises the following steps: signal receiving and parameter training, namely acquiring data block information in real time aiming at data transmitted by a wireless base station, respectively calculating a mean value and a variance of each data block signal, and training the mean value and the variance of a received data block; calculating a peak clipping threshold, determining a normal distribution model based on two parameters of training, further acquiring CDF distribution of data, and calculating the peak clipping threshold according to required PAR; CFR processing, after peak clipping threshold is determined, normal peak clipping processing can be carried out; the method can estimate a proper peak clipping threshold in real time aiming at the transmitted data, thereby effectively limiting the PAR of the power amplification data and ensuring that the power amplification works at higher efficiency.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a peak clipping method based on a distribution function in a wireless base station.
Background
With the development of mobile communication, in order to meet different user requirements and different scene requirements, a mobile communication system has a situation that multiple modes work simultaneously, a wider signal bandwidth and a higher signal modulation method gradually emerge. For example, in the current LTE system, the bandwidth can reach tens or even hundreds of M, and the modulation scheme is also shifted from 16QAM, 64QAM to 256 QAM. The problem is that the peak-to-average ratio (PAR) of the signal becomes higher and higher, and the higher PAR can seriously affect the efficiency of the power amplifier in the base station.
In order to reduce the PAR of a transmission signal, the create Factor reduction method is widely applied by base station products, and can effectively reduce the PAR of a transmission signal, thereby ensuring the higher efficiency of a power amplifier on the premise of not reducing the signal power.
The PC-CFR is a time domain CFR method which is very suitable for a multi-carrier system, and has low resource use and excellent performance. However, signals in an actual network are varied, power levels, power distributions and initial PAR change with actual signals, and these factors affect the setting of a peak clipping threshold, although the performance of the preset peak clipping threshold can be tested by a large number of signals offline in a laboratory, the signal type of the laboratory is still a small set compared with the actual network signals, and based on the principle of big data, in a small sample set, an overfitting problem is caused, so that the prediction accuracy of other data is lost. So theoretically the peak clipping threshold determined off-line in the laboratory cannot well meet the actual network signal.
Disclosure of Invention
The invention aims to overcome the defects of the structure and provide a peak clipping threshold estimation method based on a signal statistical distribution function in real time for overcoming the defect of peak clipping threshold setting in the traditional PC-CFR.
In order to solve the above technical problems, the present invention adopts a technical solution that is a novel peak clipping method based on a distribution function in a wireless base station, and is characterized by comprising:
signal receiving and parameter training, namely acquiring data block information in real time aiming at data transmitted by a wireless base station, respectively calculating the mean value and the variance of each data block signal, establishing a signal statistical model, and training the mean value and the variance of a received data block;
calculating a peak clipping threshold, determining a normal distribution model based on two parameters of training, further acquiring CDF distribution of data, and calculating the peak clipping threshold according to required PAR;
and (4) CFR processing, and after determining a peak clipping threshold, carrying out normal peak clipping processing.
Preferably, a data block is received, the data length of which has to comply with the following requirements:
preferably, after determining the normal distribution model based on two parameters of training, the CDF distribution of the data can be derived:
according to the CDF distribution, the requirement of peak clipping threshold is calculated according to the required PAR.
Preferably, the signal is an OFDM signal.
Preferably, the CFR processing technique employs a clipping-type CFR algorithm, specifically one of a peak windowing method, a noise shaping method, or a peak cancellation method.
Preferably, the signal statistical model is a normal distribution data statistical model.
Preferably, the receiving sample bandwidth of the data block is 20 MHz.
The invention has the beneficial effects that:
the invention provides a peak clipping threshold estimation method based on a signal statistical distribution function in real time, aiming at solving the defect of setting the peak clipping threshold in the traditional PC-CFR. The invention can estimate the proper peak clipping threshold in real time aiming at the transmitted data, thereby effectively limiting the PAR entering the power amplifier data and ensuring the power amplifier to work at higher efficiency.
Drawings
FIG. 1 is an OFDM time domain diagram of a 20MHz bandwidth LTE signal of the present invention;
FIG. 2 is a graph comparing the amplitude of an OFDM signal obtained after training based on a statistical parametric model according to the present invention;
FIG. 3 is a graph of the cumulative distribution function obtained from the training of the present invention based on normal distribution parameters;
FIG. 4 is an OFDM time domain diagram of a bandwidth signal of a first embodiment of the present invention;
FIG. 5 is an amplitude normalized frequency plot of a first embodiment bandwidth signal of the present invention;
FIG. 6 is a graph comparing the amplitude of an OFDM signal obtained by parameter training according to the first embodiment of the present invention;
FIG. 7 is an OFDM time domain diagram of a bandwidth signal of a second embodiment of the present invention;
FIG. 8 is an amplitude normalized frequency plot of a second embodiment bandwidth signal of the present invention;
fig. 9 is a graph comparing the amplitude of the OFDM signal obtained by the parameter training according to the second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 2, and fig. 3, a peak clipping method based on a distribution function in a radio base station includes:
the invention mainly comprises the following steps:
1) signal receiving and parameter training, namely acquiring data block information in real time aiming at data transmitted by a wireless base station, respectively calculating the mean value and the variance of each data block signal, and training the mean value and the variance of a received data block.
2) Calculating a peak clipping threshold, determining a normal distribution model based on two parameters of training, further acquiring CDF distribution of data, and calculating the peak clipping threshold according to required PAR;
3) and (4) CFR processing, and after determining a peak clipping threshold, carrying out normal peak clipping processing.
Signal reception and parameter training
A data block is received, the data length of which has to be as follows:
after determining the normal distribution model based on the two trained parameters, the CDF distribution of the data can be derived:
for a given sampling rate, the narrower the bandwidth, the longer the sample data needs to be trained on the signal characteristics.
For LTE systems, the OFDM signal used conforms to the normal distribution characteristic. Based on the received data block, the mean and variance of the data may be trained. Based on these two parameters, a normal distribution model can be uniquely determined. Based on an LTE signal with a section of 20MHz bandwidth, the normal distribution model obtained by training can be well matched with the received signal.
Peak clipping threshold calculation
After determining the normal distribution model based on the two trained parameters, the CDF distribution of the data can be derived:
according to the CDF distribution, the peak clipping threshold requirement can be calculated according to the required PAR, and the peak clipping threshold obtained based on actual data training can be well matched with actual transmitted data. As shown in fig. 3, the threshold may be obtained from a CDF curve. The corresponding threshold is set correspondingly according to how many peaks need to be cut in the current signal.
CFR treatment
After the peak clipping threshold is determined, normal peak clipping processing can be performed. Since the core content of the present invention is the acquisition of the peak clipping threshold, the normal CFR processing is not explained in detail.
Examples
If the CFR requirement is received, firstly receiving a section of data, training parameters and a model of normal distribution based on the section of data, secondly calculating a CDF curve based on the obtained normal distribution function, and thirdly calculating a peak clipping threshold according to the required PAR based on the CDF curve.
Results of Performance evaluation
4-6, which are first embodiments of the present invention, to evaluate the performance of the present invention, the following simulation test was performed using the bandwidth signal 2x5M @ IBW 60M.
Referring to fig. 7-9, which are two embodiments of the present invention, the following simulation tests are performed using the bandwidth signal 3x20M @ IBW60M, and the distribution function obtained based on parameter training can be well matched with the transmitted data, so that the peak clipping threshold can be set more accurately based on the CDF curve derived from the training model.
All simulation parameter setting modes are set by installing a conventional mode,
the above description is only exemplary of the present invention, and the structure is not limited to the above-mentioned shapes, and any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A novel peak clipping method based on distribution function in wireless base station is characterized by comprising: signal receiving and parameter training, namely acquiring data block information in real time aiming at data transmitted by a wireless base station, respectively calculating the mean value and the variance of each data block signal, establishing a signal statistical model, and training the mean value and the variance of a received data block;
calculating a peak clipping threshold, determining a normal distribution model based on two parameters of training, further acquiring CDF distribution of data, and calculating the peak clipping threshold according to required PAR;
CFR processing, after peak clipping threshold is determined, normal peak clipping processing can be carried out;
after determining the normal distribution model based on the two trained parameters, the CDF distribution of the data can be derived:
and calculating the requirement of peak clipping threshold according to the required PAR according to the CDF distribution.
3. the peak clipping method based on distribution function in wireless base station as claimed in claim 1, characterized in that: the signal is an OFDM signal.
4. A method for peak clipping in a radio base station based on a distribution function as claimed in any one of claims 1 to 3, characterized by: the CFR processing technology adopts an amplitude limiting CFR algorithm, and specifically is one of a peak value windowing method, a noise forming method or a peak value cancellation method.
5. A method for peak clipping in a radio base station based on a distribution function as claimed in any one of claims 1 to 3, characterized by: the signal statistical model is a normal distribution data statistical model.
6. A method for peak clipping in a radio base station based on a distribution function as claimed in any one of claims 1 to 3, characterized by: the receiving sampling bandwidth of the data block is 20 MHz.
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CN107135181A (en) * | 2017-07-05 | 2017-09-05 | 北京信息科技大学 | A kind of method for suppressing peak to average ratio for being grouped subcarrier phase shift to OFDM in time domain |
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