CN105207753B - A kind of error rate measurement method, error rate measurement system and power control system - Google Patents
A kind of error rate measurement method, error rate measurement system and power control system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
- H04L1/203—Details of error rate determination, e.g. BER, FER or WER
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
- H04L1/0026—Transmission of channel quality indication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/34—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading
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Abstract
A kind of error rate measurement method of the application offer, error rate measurement system and power control system, are handled according to the operating mode of presently described power control system base band by the data-signal to receiving, obtain the Soft Inform ation of each bit；The statistical property for recycling the Soft Inform ation probability density function based on kernel function, is calculated PDF estimated values；Then the bit error rate estimation value is calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values, without preset threshold value in hierarchical statistics in the prior art, the accuracy of bit error rate estimation is set to be decoupled than rank with noise (dry), it directly uses the bit error rate as power control regulating index to realize, improves accuracy；Meanwhile the bit error rate is measured without loopback, meets requirement of the Adaptable System for real-time.
Description
Technical field
The present invention relates to power control techniques field more particularly to a kind of error rate measurement method, error rate measurement systems
And power control system.
Background technology
The bit error rate (BLock Error Rate, BLER) measuring technique is mainly used in the outer shroud control of close-loop power control
In, since BLER measurements can directly reflect quality of service (Quality of Service, QoS), so making the closed power
Control can be directly based upon error rate measurement and carry out power control, avoid the uncertainty for reflecting quality of service by signal-to-noise ratio,
But because its sample requirement amount greatly causes real-time poor.
A kind of mistake being based on cyclic redundancy check code (Cyclic Redundancy Code, CRC) exists in the prior art
Code rate estimation method.This method has certain real-time online suitable for the system using CRC.But estimation is accurate
Degree depends on the preset threshold value of institute, i.e. accuracy and signal-to-noise ratio rank (bit error rate) close coupling in hierarchical statistics, in noise
Still need great amount of samples in the case of relatively high, its accuracy is caused to need certain choice with real-time.
Invention content
In view of this, the present invention provides a kind of error rate measurement method, error rate measurement system and power control system,
To solve the problems, such as that accuracy in the prior art cannot ensure simultaneously with real-time.
To achieve the goals above, technical solution provided in an embodiment of the present invention is as follows：
A kind of error rate measurement method, including：
The data-signal received is handled according to the operating mode of current power control system base band, is obtained each
The corresponding Soft Inform ation of bit；
According to current power control system modulation system and planisphere characteristic, to the PDF based on kernel function
(Probabilistic Density Function, Soft Inform ation probability density function) estimation parameter is initialized；
Estimate parameter according to the PDF and count very big algorithm, it is blind to carry out PDF to the corresponding Soft Inform ation of each bit
Estimation, is calculated PDF estimated values；
Bit error rate estimation value is calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values.
Preferably, described according to the presently described power control system modulation system and planisphere characteristic, to being based on core
The PDF estimations parameter of function carries out initialization and includes：
Classify to the corresponding Soft Inform ation of each bit according to presently described power control system planisphere characteristic,
The categorical measure and element number of all categories of the corresponding Soft Inform ation of each bit are counted；
Calculate it is described it is of all categories in Soft Inform ation prior probability；
The smoothing parameter of the PDF estimations based on kernel function is calculated.
Preferably, the smoothing parameter of the PDF estimations being calculated based on kernel function, including：
When the channel for receiving the data-signal is Gaussian channel, then basisIt is calculated and is based on
The smoothing parameter of the PDF estimations of kernel function；
Wherein, σjFor Gaussian function (N (μ, σ2)) in a variable, NjEstimate that the Soft Inform ation in parameter is each for the PDF
The element number of classification, j are the quantity of the Soft Inform ation classification.
Preferably, the smoothing parameter of the PDF estimations being calculated based on kernel function, including：
When the channel for receiving the data-signal is Unknown Channel, then basis
The smoothing parameter of the PDF estimations based on kernel function is calculated；
Wherein, A and B is respectively constant, and N is the amount of bits of the data-signal received, and K () is the kernel function,
fXFor function.
Preferably, described that parameter is estimated according to the PDF and counts very big algorithm, soft letter corresponding to each bit
Breath carries out PDF blind estimates, and PDF estimated values, which are calculated, includes：
S301, judge whether current iteration number t is more than the maximum iteration T；
If the current iteration number t is less than or equal to the maximum iteration T；
S302, the posterior probability for calculating Soft Inform ation in current Soft Inform ation classification；
S303, posterior probability is calculated according to, calculates and updates the PDF estimations parameter；
S304, parameter is estimated according to the updated PDF, calculates and updates the PDF estimated values；
T=t+1 is enabled, S301-S304 is repeated, until current iteration number t is more than the maximum iteration T；
Wherein, the posterior probability of a Soft Inform ation calculates and a PDF estimates that the calculating of parameter corresponds to a kind of Soft Inform ation
Classification.
Preferably, described that parameter is estimated according to the PDF and counts very big algorithm, soft letter corresponding to each bit
Breath carries out PDF blind estimates, and PDF estimated values are calculated, including：
According toPDF estimated values are calculated；
Wherein, XiFor the Soft Inform ation (1≤i≤N, N are positive integer) of each bit, x is the soft of each bit
The independent variable of information, SP are the smoothing parameter in PDF estimation parameters, and K () is the kernel function, and N is that the PDF estimates
The element number of such Soft Inform ation classification in parameter.
Preferably, described that the bit error rate is calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values
Estimated value, including：
According to the error distribution section on presently described power control system planisphere, simultaneously defining integration section is divided；
The bit error rate estimation value is calculated according to the integrating range and the PDF estimated values.
A kind of error rate measurement system, the power control system being applied in radio digital communication system, including：
Decoding unit, for the data-signal to receiving according to the operating mode of presently described power control system base band
It is handled, obtains the Soft Inform ation of each bit；
PDF parameter generating units are used for according to presently described power control system modulation system and planisphere characteristic, to base
It is initialized in the PDF estimations parameter of kernel function；
PDF estimation units correspond to each bit for estimating parameter according to the PDF and counting very big algorithm
Soft Inform ation carry out PDF blind estimates, PDF estimated values are calculated；
Bit error rate estimation unit, for being calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values
To bit error rate estimation value.
A kind of power control system, is applied to radio digital communication system, and the power control system includes：
Decoding unit, for the data-signal to receiving according to the operating mode of presently described power control system base band
It is handled, obtains the Soft Inform ation of each bit；
PDF parameter generating units are used for according to presently described power control system modulation system and planisphere characteristic, to base
It is initialized in the PDF estimations parameter of kernel function；
PDF estimation units correspond to each bit for estimating parameter according to the PDF and counting very big algorithm
Soft Inform ation carry out PDF blind estimates, PDF estimated values are calculated；
Bit error rate estimation unit, for being calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values
To bit error rate estimation value；
Target comparing unit, for being compared with bit error rate target gate to the bit error rate estimation value, generation is compared
As a result；
Angle detecting unit, the direction for detecting current power control；
Algorithm setting unit is set for adjusting algorithm according to the external circule power control step parameter of presently described power control system
It sets；
Adjustment unit, direction and the algorithm for being controlled according to the comparison result, the current power are arranged, raw
At simultaneously output power command bit.
The application provides a kind of error rate measurement method, by the data-signal to receiving according to presently described power control
The operating mode of systems baseband processed is handled, and the Soft Inform ation of each bit is obtained；Recycle the Soft Inform ation based on kernel function general
PDF estimated values are calculated in the statistical property of rate density function；Then according to the corresponding Soft Inform ation of each bit and described
The bit error rate estimation value is calculated in PDF estimated values, without preset threshold value in hierarchical statistics in the prior art, makes mistake
The accuracy of rate estimation is decoupled with noise (dry) than rank (bit error rate), directly uses the bit error rate as power control tune to realize
Index is saved, accuracy is improved；Meanwhile the bit error rate is measured without loopback, meets requirement of the Adaptable System for real-time.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of error rate measurement method flow diagram provided by the embodiments of the present application；
Fig. 2 is another error rate measurement method flow diagram that another embodiment of the application provides；
Fig. 3 is another error rate measurement method flow diagram that another embodiment of the application provides；
Fig. 4 is another error rate measurement method flow diagram that another embodiment of the application provides；
Fig. 5 is a kind of Soft Inform ation sample probability density schematic diagram that another embodiment of the application provides；
Fig. 6 is a kind of error rate measurement system structure diagram that another embodiment of the application provides；
Fig. 7 is a kind of power control system structural schematic diagram that another embodiment of the application provides；
Fig. 8 is another power control system structural schematic diagram that another embodiment of the application provides.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides a kind of error rate measurement method, the power control system being applied in radio digital communication system
System, poor to solve real-time in the prior art, accuracy is relatively low, or needs to ask what reception data were recompiled
Topic.
Specifically, as shown in Figure 1, the error rate measurement method includes：
S101, the data-signal received is handled according to the operating mode of current power control system base band, is obtained
Obtain the corresponding Soft Inform ation of each bit；
The place that the described pair of data-signal received is carried out according to the operating mode of presently described power control system base band
Reason is corresponding with the operating mode.
Specifically, the described pair of data-signal received according to presently described power control system base band operating mode into
Capable processing includes：Synchronous, demodulation and decoding operation.
In specific practical application, the processing can also include the operations such as deinterleaving, decorrelation, despreading, herein simultaneously
It is not specifically limited.
S102, according to current power control system modulation system and planisphere characteristic, to being based on kernel function (Kernel
Function PDF estimations parameter) is initialized；
Preferably, it is to the formula of the PDF estimations based on kernel function：
The formula is for a kind of Soft Inform ation classification to the PDF estimation formulas based on kernel function；Wherein, XiIt is described every
The Soft Inform ation (1≤i≤N) of one bit, x are the independent variable of the Soft Inform ation of each bit, and SP is that the PDF estimates in parameter
Smoothing parameter, K () can be the kernel function, N be the PDF estimate parameter in such Soft Inform ation classification element number.
It is worth noting that the kernel function can be Epanechnikov, Biweight, Gaussian or other core letters
Number, herein and is not specifically limited, depending on its specific application environment.
The PDF initialized is needed to estimate that parameter includes：Cj、αj、NjAnd SPj.Wherein, CjEstimate parameter for the PDF
In Soft Inform ation classification, NjEstimate that the Soft Inform ation in parameter is classified element number of all categories for the PDF, αjEstimate for the PDF
Count the Soft Inform ation prior probability in parameter, SPjThe smoothing parameter of each Soft Inform ation classification in parameter, wherein j are estimated for the PDF
For the quantity of the Soft Inform ation classification.
In specific practical application, the quantity j of the Soft Inform ation classification depends on the constellation of ideally planisphere
It counts out；Nj、αjAnd SPjForm Density Estimator parameter set Ωj, Ωj={ Nj, αj, SPj}
S103, parameter and the very big algorithm (Expectation- of statistics are estimated according to the PDF
MaximizationAlgorithm), PDF blind estimates are carried out to the corresponding Soft Inform ation of each bit, PDF is calculated and estimates
Evaluation；
In specific practical application, parameter and the PDF estimated values carry out not according to above-mentioned formula to be estimated to the PDF
Disconnected iteration and update, until obtaining meeting the PDF estimated values needed.
S104, bit error rate estimation value is calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values.
The each corresponding Soft Inform ation of bit obtained according to the above process and the PDF estimated values, are calculated mistake
Rate estimation value, you can carry out power control for the power control system in the radio digital communication system.
The error rate measurement method provided by the present application, by the data-signal to receiving according to presently described power
The operating mode of control system base band is handled, and the Soft Inform ation of each bit is obtained；Recycle the Soft Inform ation based on kernel function
PDF estimated values are calculated in the statistical property of probability density function；Then according to the corresponding Soft Inform ation of each bit and institute
It states PDF estimated values and the bit error rate estimation value is calculated, without preset threshold value in hierarchical statistics in the prior art, make
The accuracy of bit error rate estimation is decoupled with noise (dry) than rank (bit error rate), directly uses the bit error rate as power control to realize
Regulating index improves accuracy；Meanwhile the bit error rate is measured without loopback, meets requirement of the Adaptable System for real-time.
It is worth noting that the measurement for the bit error rate, there is also two methods in the prior art, and one is utilize classics
Or MC (Monte-Carlo, the Monte Carlo) method expanded, another kind are to obtain error code using the relationship of signal-to-noise ratio and the bit error rate
The estimated value of rate.
Wherein, classical MC method statistics receive the number of errors of bit information, and calculate it and send bit (practical reception
Bit) ratio be worth to the estimated value of the bit error rate.This method needs a certain number of information bit samples to ensure accuracy
This, especially when noise is relatively high, sample requirement amount is very big, is reduced so as to cause the real-time of error rate measurement, although opening up
The MC methods of exhibition can make compromise using statistical confidence principle in measurement accuracy and time of measuring, but communication receiver is always
The transmission bit information of acquisition certain amount, i.e. this method is needed to cannot achieve the bit error rate estimation of real-time online.
Another obtains the method for the estimated value of the bit error rate using the relationship of signal-to-noise ratio and the bit error rate, and docking first is collected mail
It makes an uproar than measuring, further according to signal-to-noise ratio and mistake under given coding/decoding, modulating/demodulating mode and known channel condition
The mapping relations of code check obtain the estimated value of the bit error rate.This method real-time is higher, but due to needing given transmitting-receiving mode and obtaining
Take channel condition, accuracy and applicability poor.
Therefore existing estimating method of the error rate can not ensure applicability, accuracy and real-time simultaneously, also just can not
Improvement for power control.
The error rate measurement method provided by the present application is realized the measurement of the bit error rate, is not only ensured through the above steps
Accuracy and real-time, meanwhile, for the data-signal that receives without knowing that its sends bit data, merely with the ratio
Subsequent calculating can be realized in special corresponding Soft Inform ation, the bit error rate estimation value is obtained, without compiling again in the prior art
Complexity caused by code, namely the applicability, accuracy and real-time of the error rate measurement have been ensured simultaneously.And it reduces
It is existing while using open loop, the complexity of closed loop, inner ring, external circule power control system.
Preferably, as shown in Fig. 2, step S102 includes：
S201, the corresponding Soft Inform ation of each bit is carried out according to presently described power control system planisphere characteristic
Classification counts the categorical measure and element number of all categories of the corresponding Soft Inform ation of each bit；
In specific practical application, the categorical measure of the corresponding Soft Inform ation of each bit depends on ideally
The constellation point number of planisphere.By taking BPSK (Binary Phase Shift Keying, binary phase shift keying) as an example, it can press
According to the Soft Inform ation XiPositive and negative be initialized asWith
Then element number of all categories is：
S202, calculate it is described it is of all categories in Soft Inform ation prior probability；
By taking BPSK as an example, classificationWithIn the prior probability of Soft Inform ation be：
S203, the smoothing parameter that the PDF estimations based on kernel function are calculated.
For real system, function fXIt is unknown, Soft Inform ation classification C (fX) can not obtain, in specific practical application,
It may be assumed that fXFor Gaussian functions (N (μ, σ2)), using the initial value as calculating postfitted orbit parameter SP.It is soft by taking BPSK as an example
Information XiPDF be：
Preferably, the smoothing parameter of the PDF estimations being calculated based on kernel function, including：
When the channel for receiving the data-signal is Gaussian channel, then basisIt is calculated and is based on
The smoothing parameter of the PDF estimations of kernel function；
Wherein, σjFor Gaussian function (N (μ, σ2)) in a variable, NjEstimate that the Soft Inform ation in parameter is each for the PDF
The element number of classification, j are the quantity of the Soft Inform ation classification.
It is different classes of for normal state Gaussian type kernel functionsWithCorresponding smoothing parameter SP is initialized respectively
For：
In specific practical application, the formula in above-mentioned steps is not necessarily limited to BPSK, can also be according to specific feelings
Condition is used.
Preferably, as shown in figure 3, step S103 includes：
S301, judge whether current iteration number t is more than the maximum iteration T；
Specifically, maximum iteration T depends on practical communication system and channel conditions, channel coding is being used (such as
Turbo code) or in the case of noise relatively high (if the corresponding bit error rate is in 10-5), maximum iteration T should be set as higher number
It is worth (such as 20).In specific application, maximum iteration T can carry out advance setting according to specific application environment.
If the current iteration number t is less than or equal to the maximum iteration T, S302, current Soft Inform ation class is calculated
The posterior probability of Soft Inform ation in not；
Judge whether current iteration number t is more than the maximum iteration T, if current iteration number t be equal to it is described most
Big iterations T, illustrates that after completing this iteration system requirements can be met.
The PDF obtained in last iteration has been used to estimate parameter in calculating process：
It is different classes of by taking BPSK as an exampleWithIn the posterior probability of Soft Inform ation be respectively：
If current iteration number t has reached maximum iteration T, go to step S104.
S303, posterior probability is calculated according to, calculates and updates the PDF estimations parameter；
Prior probability α in the PDF estimations parameterjFor：
It is different classes of by taking BPSK as an exampleWithIn the prior probability of Soft Inform ation be respectively：
Wherein, Soft Inform ation classification CjThe element number N of all categories with Soft Inform ationjAccording to presently described power control system
Planisphere characteristic is updated, smoothing parameter SPjIts optimum value is calculated according to MISE minimum principles.
The element number N1 and N2 of two classifications are needed according to the newer Soft Inform ation classification C of institute under current iteration1And C2
It arrives, Soft Inform ation classification C1And C2It is calculated as follows, whereinThe equally distributed variable between [0,1]：
Preferably, the smoothing parameter of the PDF estimations being calculated based on kernel function, including：
When the channel for receiving the data-signal is Unknown Channel, then basis
The smoothing parameter of the PDF estimations based on kernel function is calculated；
Wherein, A and B is respectively constant, and N is the amount of bits of the data-signal received, and K () is the kernel function,
fXFor function.
For real system, channel situation is unknown, then can update to obtain current iteration smoothing parameter SP most according to above formula
Good value.
S304, parameter is estimated according to the updated PDF, calculates and updates the PDF estimated values；
T=t+1 is enabled, S301-S304 is repeated, until current iteration number t is more than the maximum iteration T；
Wherein, the posterior probability of a Soft Inform ation calculates and a PDF estimates that the calculating of parameter corresponds to a kind of Soft Inform ation
Classification.
It preferably, can basisThe PDF estimated values are calculated；
Wherein, XiFor the Soft Inform ation (1≤i≤N, N are positive integer) of each bit, x is the soft of each bit
The independent variable of information, SP are the smoothing parameter in PDF estimation parameters, and K () is the kernel function, and N is that the PDF estimates
The element number of such Soft Inform ation classification in parameter.
In specific practical application, corresponding different Soft Inform ation classification carry out respectively Soft Inform ation posterior probability calculate and
PDF estimates the calculating of parameter, finally obtains the PDF estimated values of the corresponding Soft Inform ation of each bit.
Preferably, as shown in figure 4, step S104 includes：
S1041, according to the error distribution section on presently described power control system planisphere, divide and defining integration area
Between；
In specific practical application, there are error distribution sections on planisphere for Soft Inform ation, with Soft Inform ation in planisphere
On mistake interval division and defining integration section, for the bit error rate estimation value calculating use.For higher multiphase tune
System needs to divide mistake section, then the integrating range by mistake section setting above formula according to planisphere.
S1042, the bit error rate estimation value is calculated according to the integrating range and the PDF estimated values.
After mistake interval division of the Soft Inform ation on planisphere and defining integration section, according to the integrating range and institute
It states PDF estimated values and calculates the bit error rate.
Fig. 5 is that error rate calculation displaying is carried out by taking BPSK systems as an example.Ideally, according to the data-signal meter of reception
Obtained Soft Inform ation sample (X) should be+1 and -1, be illustrated for+1：When hard decision ,+1 due to transmission is being connect
The sample value that time receiving receives>0, all bits are properly received, and error code is not present.But it is soft under certain wireless channel conditions
Certain probability distribution (fX, N1 and fX, N2) is presented in the probability density of message sample (X).Due to the effect of wireless channel, transmission
+ 1 when receiving, corresponding sample value may<0, it is determined as -1 at this time.Using 0 point as decision threshold, the probability of sample value is considered further that
Distribution, it is known that the hatched area among Fig. 5 show bit error rate region, as ber value.
Therefore for BPSK, the bit error rate is estimated as the following formula：
Wherein α1、α2For the prior probability of sample value, 1000 sampled points are such as taken, wherein correspond to and send the sample that bit is+1 at 300 points
Value, 700 points correspond to the sample value that transmission bit is -1, then α1=0.3, α2=0.7.
Another embodiment of the present invention additionally provides a kind of error rate measurement system, as shown in fig. 6, logical applied to wireless digital
Letter system, the power control system include：
Decoding unit 101, PDF parameter generating units 102, PDF estimation units 103 and bit error rate estimation unit 104.
Specifically operation principle is：
At operating mode of the decoding unit 101 to the data-signal received according to current power control system base band
Reason is synchronous, demodulates, decoding operate, obtains the corresponding Soft Inform ation (X of each biti, 1≤i≤N)；
PDF parameter generating units 102 are according to current power control system modulation system and planisphere characteristic, to being based on core letter
The Soft Inform ation probability density function PDF estimations parameter of number (Kernel Function) is initialized；
PDF estimation units 103 estimate parameter according to the PDF and count very big algorithm, corresponding to each bit
Soft Inform ation carries out PDF blind estimates, and PDF estimated values are calculated；
Bit error rate estimation unit 104 is calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values
Bit error rate estimation value.
Specific operation principle is same as the previously described embodiments, and details are not described herein again.
Another embodiment of the present invention additionally provides a kind of power control system, as shown in fig. 7, being applied to radio digital communication
System, the power control system include：
Decoding unit 101, PDF parameter generating units 102, PDF estimation units 103, bit error rate estimation unit 104, target
Comparing unit 105, angle detecting unit 106, algorithm setting unit 107 and adjustment unit 108.
Specifically operation principle is：
At operating mode of the decoding unit 101 to the data-signal received according to current power control system base band
Reason is synchronous, demodulates, decoding operate, obtains the corresponding Soft Inform ation (X of each biti, 1≤i≤N)；
PDF parameter generating units 102 are according to current power control system modulation system and planisphere characteristic, to being based on core letter
The Soft Inform ation probability density function PDF estimations parameter of number (Kernel Function) is initialized；
PDF estimation units 103 estimate parameter according to the PDF and count very big algorithm, corresponding to each bit
Soft Inform ation carries out PDF blind estimates, and PDF estimated values are calculated；
Bit error rate estimation unit 104 is calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values
Bit error rate estimation value；
Target comparing unit 105 is compared the bit error rate estimation value with bit error rate target gate, and knot is compared in generation
Fruit；
Angle detecting unit 106 detects the direction of current power control；
Algorithm setting unit 107 adjusts algorithm according to the external circule power control step parameter of presently described power control system and sets
It sets；
The direction and the algorithm that adjustment unit 108 is controlled according to the comparison result, the current power are arranged, and generate
And output power command bit.
After the power control instruction bit is received by another party, demodulated decoding and power control bit extraction are sent to
Gain link PA carries out gain-adjusted, realizes the adjusting of power control.
It is worth noting that in the prior art for the power control of the power control system in radio digital communication system
Method uses signal-to-noise ratio to carry out power control at present, the error rate measurement method described in above-described embodiment, using：
The bit error rate estimation value is compared with bit error rate target gate, generates comparison result；
Detect the direction of current power control；
Algorithm setting is adjusted according to the external circule power control step parameter of presently described power control system；
The direction controlled according to the comparison result, the current power and algorithm setting, generate simultaneously output power
Control instruction bit；
After above-mentioned steps, the architecturally existing power control system of reusable (as shown in Figure 8), by receiving,
Decoding after bit error rate estimation, is controlled by the outer shroud of snr measurement and signal-to-noise ratio calibration adjustment, then relatively after, realize work(
It controls bit to generate, after being sent to the demodulated decoding of another party and power control bit extraction, is sent to gain link PA and carries out gain
It adjusts, completes inner ring control, realize the adjusting of power control；The present embodiment only replaces with signal-to-noise ratio during control described
Parameter index of the bit error rate estimation value as power control.
The power control system provided by the present application, it is not only the same with above-described embodiment, using based on the soft of kernel function
The bit error rate estimation value is calculated in the statistical property of informational probability density function, makes the accuracy and letter of bit error rate estimation
(dry) is made an uproar than rank (bit error rate) decoupling, directly uses the bit error rate as power control regulating index to realize, improves accuracy,
Using the bit error rate estimation value as power contorl parameters so that power control can more directly reflect system business matter
Amount；And the data-signal for receiving is without knowing that it sends bit data, it is caused without recompiling in the prior art
Complexity.And the bit error rate is measured without loopback, meets requirement of the Adaptable System for real-time.It solves simultaneously such as Fig. 5
Shown in existing combination open loop, closed loop the high problem of power control techniques complexity；And solve existing method with this can not
Meet accuracy simultaneously and the problem of the aspect of real-time two requires, be greatly improved the rate of open sea wharf, or even by base
In the low accuracy fast inner loop power control of signal-to-noise ratio/signal interference ratio and high accuracy slower outer loop power control based on the bit error rate
System is integrated into the power control system based on the bit error rate together, for the cdma system that single user standard receives, is in signal-to-noise ratio
In the case of 10dB, it is only necessary to which 700 samples can be obtained the bit error rate estimation that the variance compared with theoretical value is less than 10-6, to real
The real-time online power control of existing high accuracy.
Meanwhile using the printenv characteristic of Density Estimator method (Kernel estimation), making described in the present embodiment
Power control system be applicable to Any Digit communication system, such as CDMA, WCDMA and other 3G, 4G network system honeycombs
Communication system or sensor network, mobile ad hoc network, car networking etc..
Each embodiment is described by the way of progressive in the present invention, the highlights of each of the examples are with other realities
Apply the difference of example, just to refer each other for identical similar portion between each embodiment.For device disclosed in embodiment
Speech, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is referring to method part illustration
.
It the above is only the preferred embodiment of the present invention, make skilled artisans appreciate that or realizing of the invention.It is right
A variety of modifications of these embodiments will be apparent to one skilled in the art, general original as defined herein
Reason can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention will not
Be intended to be limited to the embodiments shown herein, and be to fit to it is consistent with the principles and novel features disclosed in this article most
Wide range.
Claims (9)
1. a kind of error rate measurement method, which is characterized in that including：
The data-signal received is handled according to the operating mode of current power control system base band, obtains each bit
Corresponding Soft Inform ation；
According to current power control system modulation system and planisphere characteristic, to the Soft Inform ation probability density function based on kernel function
PDF estimations parameter is initialized；
Estimate parameter according to the PDF and count very big algorithm, carries out that PDF is blind to be estimated to the corresponding Soft Inform ation of each bit
Meter, is calculated PDF estimated values；
Bit error rate estimation value is calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values.
2. error rate measurement method according to claim 1, which is characterized in that described according to the presently described power control
System modulation mode and planisphere characteristic processed, carrying out initialization to the PDF estimations parameter based on kernel function includes：
Classify to the corresponding Soft Inform ation of each bit according to presently described power control system planisphere characteristic, to institute
The categorical measure and element number of all categories for stating the corresponding Soft Inform ation of each bit are counted；
Calculate it is described it is of all categories in Soft Inform ation prior probability；
The smoothing parameter of the PDF estimations based on kernel function is calculated.
3. error rate measurement method according to claim 2, which is characterized in that described to be calculated based on kernel function
The smoothing parameter of PDF estimations, including：
When the channel for receiving the data-signal is Gaussian channel, then basisIt is calculated and is based on core letter
The smoothing parameter of several PDF estimations；
Wherein, σjFor Gaussian function (N (μ, σ2)) in a variable, NjEstimate that the Soft Inform ation in parameter is of all categories for the PDF
Element number, j be the Soft Inform ation classification quantity.
4. error rate measurement method according to claim 2, which is characterized in that described to be calculated based on kernel function
The smoothing parameter of PDF estimations, including：
When the channel for receiving the data-signal is Unknown Channel, then basis
The smoothing parameter of the PDF estimations based on kernel function is calculated；
Wherein, A and B is respectively constant, and N is the amount of bits of the data-signal received, and K () is the kernel function, fXFor
Function.
5. error rate measurement method according to claim 1, which is characterized in that it is described according to the PDF estimate parameter and
Very big algorithm is counted, PDF blind estimates are carried out to the corresponding Soft Inform ation of each bit, PDF estimated values, which are calculated, includes：
S301, judge whether current iteration number t is more than maximum iteration T；
If the current iteration number t is less than or equal to the maximum iteration T；
S302, the posterior probability for calculating Soft Inform ation in current Soft Inform ation classification；
S303, posterior probability is calculated according to, calculates and updates the PDF estimations parameter；
S304, parameter is estimated according to the updated PDF, calculates and updates the PDF estimated values；
T=t+1 is enabled, S301-S304 is repeated, until current iteration number t is more than the maximum iteration T；
Wherein, the posterior probability of a Soft Inform ation calculates and a PDF estimates that the calculating of parameter corresponds to a kind of Soft Inform ation classification.
6. error rate measurement method according to claim 1, which is characterized in that it is described according to the PDF estimate parameter and
Very big algorithm is counted, PDF blind estimates are carried out to the corresponding Soft Inform ation of each bit, PDF estimated values are calculated, including：
According toPDF estimated values are calculated；
Wherein, XiFor the Soft Inform ation of each bit, 1≤i≤N, N are positive integer, and x is the Soft Inform ation of each bit
Independent variable, SP are the smoothing parameter in PDF estimation parameters, and K () is the kernel function, and N is that the PDF estimates in parameter
Such Soft Inform ation classification element number.
7. error rate measurement method according to claim 1, which is characterized in that described corresponding according to each bit
Bit error rate estimation value is calculated in Soft Inform ation and the PDF estimated values, including：
According to the error distribution section on presently described power control system planisphere, simultaneously defining integration section is divided；
The bit error rate estimation value is calculated according to the integrating range and the PDF estimated values.
8. a kind of error rate measurement system, which is characterized in that the power control system being applied in radio digital communication system, packet
It includes：
Decoding unit is carried out for the data-signal to receiving according to the operating mode of presently described power control system base band
Processing, obtains the Soft Inform ation of each bit；
PDF parameter generating units are used for according to presently described power control system modulation system and planisphere characteristic, to being based on core
The PDF estimations parameter of function is initialized；
PDF estimation units are corresponding soft to each bit for estimating parameter according to the PDF and counting very big algorithm
Information carries out PDF blind estimates, and PDF estimated values are calculated；
Bit error rate estimation unit, for mistake to be calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values
Rate estimation value.
9. a kind of power control system, which is characterized in that be applied to radio digital communication system, the power control system packet
It includes：
Decoding unit is carried out for the data-signal to receiving according to the operating mode of presently described power control system base band
Processing, obtains the Soft Inform ation of each bit；
PDF parameter generating units are used for according to presently described power control system modulation system and planisphere characteristic, to being based on core
The PDF estimations parameter of function is initialized；
PDF estimation units are corresponding soft to each bit for estimating parameter according to the PDF and counting very big algorithm
Information carries out PDF blind estimates, and PDF estimated values are calculated；
Bit error rate estimation unit, for mistake to be calculated according to each corresponding Soft Inform ation of bit and the PDF estimated values
Rate estimation value；
Target comparing unit generates comparison result for being compared with bit error rate target gate to the bit error rate estimation value；
Angle detecting unit, the direction for detecting current power control；
Algorithm setting unit, for adjusting algorithm setting according to the external circule power control step parameter of presently described power control system；
Adjustment unit, direction and the algorithm for being controlled according to the comparison result, the current power are arranged, generate simultaneously
Output power command bit.
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