CN110365614A - Correction table generating method and device for RF emission system - Google Patents
Correction table generating method and device for RF emission system Download PDFInfo
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- CN110365614A CN110365614A CN201910796709.XA CN201910796709A CN110365614A CN 110365614 A CN110365614 A CN 110365614A CN 201910796709 A CN201910796709 A CN 201910796709A CN 110365614 A CN110365614 A CN 110365614A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/38—Synchronous or start-stop systems, e.g. for Baudot code
- H04L25/40—Transmitting circuits; Receiving circuits
- H04L25/49—Transmitting circuits; Receiving circuits using code conversion at the transmitter; using predistortion; using insertion of idle bits for obtaining a desired frequency spectrum; using three or more amplitude levels ; Baseband coding techniques specific to data transmission systems
Abstract
The invention discloses a kind of correction table generating methods and device for RF emission system, the described method includes: according to the data to be launched to the antenna of the RF emission system will be sent to obtain training data, the data to be launched are associated with the original data to be launched of the RF emission system, have corresponding relationship between the training data and the original data to be launched；It is aligned the training data and the original data to be launched, so that the training data and the original data to be launched after alignment meet the corresponding relationship in error range；According to the training data and the original data generation to be launched correction table after alignment.The method and device can reduce complexity, and reduce cost.
Description
Technical field
The present invention relates to the communications field more particularly to a kind of correction table generating methods and dress for RF emission system
It sets.
Background technique
Predistortion, also referred to as " predistortion " " predistortion " (Digital Pre-Distortion, DPD) are that one kind exists
Before emitting signal, in numeric field signal is carried out by digital processing opposite with the nonlinear characteristic of nonlinear device abnormal
Become, to achieve the effect that the technology offseted with the nonlinear characteristic of nonlinear device.
Existing predistortion technology has also been widely applied in RF emission system, but its realization is complex, cost compared with
It is high.
Summary of the invention
Present invention solves the technical problem that be reduce for RF emission system predistortion complexity, and reduce at
This.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of predistortion method for RF emission system,
Include:
The original data to be launched of the RF emission system are zoomed in and out to generate index data, the index data
It is adapted with the current transmission power of the RF emission system；
Correction table is inquired according to the index data and obtains Pre-distortion factors, and the correction table is using the radio-frequency transmissions
What the emission maximum mean power output of system was trained；
The original data to be launched are corrected using the Pre-distortion factors, to correct the RF emission system
It is non-linear.
Optionally, the generation index data includes: the instantaneous amplitude for calculating the original data to be launched, by the wink
When amplitude be multiplied to obtain the index data with zoom factor, the zoom factor by the RF emission system current transmitting
Power and emission maximum mean power determine.
Optionally, carrying out correction to the original data to be launched using the improvement factor includes: by the instantaneous width
Degree is multiplied with the improvement factor；The improvement factor is plural number.
Optionally, the correction table is obtained by following training method:
It is described to be launched according to the data to be launched to the antenna of the RF emission system will be sent to obtain training data
Data are associated with the original data to be launched, have corresponding close between the training data and the original data to be launched
System；
It is aligned the training data and the original data to be launched, so that the training data and described after alignment
Original data to be launched meet the corresponding relationship in error range；
According to the training data and the original data generation to be launched correction table after alignment.
Optionally, according to the data to be launched to the antenna of the RF emission system will be sent to obtain training data packet
It includes:
Coupling will be sent to the data to be launched of the antenna of the RF emission system, to obtain coupling data；
The coupling data is handled to obtain training data.
Optionally, the alignment training data and the original data to be launched include:
The training data is sampled to obtain and trains sampled data；
The original data to be launched are sampled to obtain original sampled data to be launched；
According to the Magnitude Difference of the trained sampled data and the original sampled data to be launched, it is aligned the trained number
According to the original data to be launched.
Optionally, the training data is sampled to obtain and trains the sampled data to include: with the first sample rate to described
Training data is sampled to obtain the first training sampled data, and sample to the training data with the second sample rate
To the second training sampled data；
It is described to the original data to be launched carry out sampling include: with the first sample rate to the original data to be launched
The original sampled data to be launched of first sampled, and the original data to be launched are carried out with the second sample rate
Sample the second obtained original sampled data to be launched；
The Magnitude Difference according to the trained sampled data and the original sampled data to be launched, is aligned the instruction
Practice data and the original data to be launched include:
The first alignment, institute are carried out according to the Magnitude Difference of the first training sampled data and the first original sampled data to be launched
The precision for stating the first alignment is corresponding with the first sample rate；
On the basis of the described first alignment, according to the second training sampled data and the second original sampled data to be launched
Magnitude Difference carries out the second alignment, and the precision of second alignment is corresponding with the second sample rate；
Wherein, second sample rate is higher than first sample rate.
Optionally, it is described first alignment include:
Keep in the first training sampled data；
Predelay is carried out to the described first original sampled data to be launched, described first after predelay is original to be launched
Sampled data is successively compared with the first training sampled data；
The aligned position of first alignment is determined according to comparison result.
Optionally, the second training sampled data and the second original sampled data to be launched are with first alignment
It is acquired on the basis of aligned position；It is described on the basis of the described first alignment, according to the second training sampled data and the
The Magnitude Difference of two original sampled datas to be launched carries out the second alignment
Keep in the second training sampled data；
Predelay is carried out to the described second original sampled data to be launched, described second after predelay is original to be launched
Sampled data is successively compared with the second training sampled data；
The aligned position of second alignment is determined according to comparison result；
Wherein, the delay duration for carrying out predelay to the described second original sampled data to be launched is adopted with described second
Sample rate is negatively correlated.
Optionally, the training data according to after alignment and the original data to be launched generate the correction table
Include:
According to the position after alignment to the training data and the original data sampling to be launched, obtain third it is original to
Emit sampled data and third training sampled data；
Instantaneous output amplitude is carried out according to the original sampled data to be launched of the third and third training sampled data
And/or the parameter Estimation of phase, to obtain the Pre-distortion factors.
The embodiment of the present invention also provides a kind of de-distortion equipment for RF emission system, comprising:
Index data generation unit is zoomed in and out suitable for the original data to be launched to the RF emission system to generate
The current transmission power of index data, the index data and the RF emission system is adapted；
Improvement factor query unit obtains Pre-distortion factors suitable for inquiring correction table according to the index data, described to rectify
Positive table is trained using the emission maximum mean power output of the RF emission system；
Correcting unit, suitable for being corrected using the Pre-distortion factors to the original data to be launched, with house of correction
State the non-linear of RF emission system.
Optionally, the index data generation unit, suitable for calculating the instantaneous amplitude of the original data to be launched, by institute
It states instantaneous amplitude to be multiplied to obtain the index data with zoom factor, the zoom factor is current by the RF emission system
Transmission power and emission maximum mean power determine.
Optionally, the correcting unit is suitable for for the instantaneous amplitude being multiplied with the improvement factor；The improvement factor
For plural number.
It optionally, further include correction table generation unit, the correction table generation unit includes:
Training data unit will send the data to be launched to the antenna of the RF emission system to be instructed suitable for basis
Practice data, the data to be launched are associated with the original data to be launched, the training data with it is described original to be launched
There is corresponding relationship between data；
Alignment unit is suitable for being aligned the training data and the original data to be launched, so that described after alignment
Training data and the original data to be launched meet the corresponding relationship in error range；
Generation unit, suitable for according to after alignment the training data and the original data to be launched generate the correction
Table.
Optionally, the training data unit includes:
Coupling unit will be sent suitable for coupling to the data to be launched of the antenna of the RF emission system, to obtain coupling
Close data；
Coupling data processing unit, suitable for being handled to obtain training data to the coupling data.
Optionally, the alignment unit includes:
Training sampled data unit trains sampled data suitable for being sampled to obtain to the training data；
Original sampled data unit to be launched, it is original to be launched suitable for being sampled to obtain to the original data to be launched
Sampled data；
Difference unit, suitable for the Magnitude Difference according to the trained sampled data and the original sampled data to be launched,
It is aligned the training data and the original data to be launched.
Optionally, the trained sampled data unit, suitable for sample to the training data with the first sample rate
To the first training sampled data, and the training data is sampled with the second sample rate to obtain the second training hits
According to；
The original sampled data unit to be launched, suitable for being adopted with the first sample rate to the original data to be launched
The first original sampled data to be launched that sample obtains, and the original data to be launched sample with the second sample rate
The original sampled data to be launched of second arrived；
The difference unit, including the first difference unit and the second difference unit:
First difference unit, suitable for the difference according to the first training sampled data and the first original sampled data to be launched
Value carries out the first alignment, and the precision of first alignment is corresponding with the first sample rate；
Second difference unit is suitable on the basis of the described first alignment, according to the second training sampled data and the
The Magnitude Difference of two original sampled datas to be launched carries out the second alignment, and the precision of second alignment is opposite with the second sample rate
It answers；
Wherein, second sample rate is higher than first sample rate.
Optionally, first difference unit includes:
First temporary storage location, suitable for keeping in the first training sampled data；
First comparing unit is suitable for carrying out predelay to the described first original sampled data to be launched, after predelay
The first original sampled data to be launched is successively compared with the training data；
First position unit, suitable for determining the aligned position of first alignment according to comparison result.
Optionally, the second training sampled data and the second original sampled data to be launched are with first alignment
It is acquired on the basis of aligned position；Second difference unit includes:
Second temporary storage location, suitable for keeping in the second training sampled data；
Second comparing unit is suitable for carrying out predelay to the described second original sampled data to be launched, after predelay
The second original sampled data to be launched is successively compared with the training data；
Second position unit, suitable for determining the aligned position of second alignment according to comparison result；
Wherein, the delay duration for carrying out predelay to the described second original sampled data to be launched is adopted with described second
Sample rate is negatively correlated.
Optionally, the generation unit includes:
Sampling unit, suitable for according to the position after alignment to the training data and the original data sampling to be launched,
Obtain the original sampled data to be launched of third and third training sampled data；
Pre-distortion factors unit, according to the original sampled data to be launched of the third and the third training sampled data into
The parameter Estimation of the instantaneous output amplitude of row and/or phase, to obtain the Pre-distortion factors.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that
It is zoomed in and out by the original data to be launched to the RF emission system, index data is generated, according to the rope
Draw data query correction table and obtain Pre-distortion factors, the original data to be launched are rectified using the Pre-distortion factors
Just, the non-linear of the RF emission system can be corrected, and in the emission system original with different power emissions
When data to be launched, same inquiry correction table can be inquired, without generating different corrections for different transmission powers
Table, therefore the complexity of the predistortion for RF emission system can be reduced, and reduce cost.
Further, right according to the data to be launched to the antenna of the RF emission system will be sent to obtain training data
Neat training data and original data to be sent, according to after alignment training data and the original data to be launched generate described rectify
Positive table can directly obtain the correction table, without prestoring a large amount of data of storage so as to simplify circuit structure.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the predistortion method for RF emission system in the embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of RF emission system in the embodiment of the present invention；
Fig. 3 is the schematic illustration of the predistortion of RF emission system in the embodiment of the present invention；
Fig. 4 is a kind of flow chart of training method in the embodiment of the present invention；
Fig. 5 is a kind of method flow for being aligned the training data and the original data to be launched in the embodiment of the present invention
Figure；
Fig. 6 is the method flow diagram of the first alignment of one kind in the embodiment of the present invention；
Fig. 7 is a kind of device structure schematic diagram for the first alignment in the embodiment of the present invention；
Fig. 8 is the method flow diagram of the second alignment of one kind in the embodiment of the present invention；
Fig. 9 is a kind of method flow diagram for generating the correction table in the embodiment of the present invention；
Figure 10 is a kind of structural schematic diagram of the de-distortion equipment for RF emission system in the embodiment of the present invention；
Figure 11 is a kind of structural schematic diagram of correction table generation unit in the embodiment of the present invention；
Figure 12 is a kind of partial structure diagram of alignment unit in the embodiment of the present invention；
Figure 13 is a kind of structural schematic diagram of first difference unit in the embodiment of the present invention；
Figure 14 is a kind of structural schematic diagram of second difference unit in the embodiment of the present invention.
Specific embodiment
The frequency spectrum that wireless communication uses at present is more and more wider, the skills such as high-order modulating, multi-transceiver technology and carrier wave polymerization
The use of art has greatly driven up the peak-to-average force ratio of uplink signal；The use of these technologies is to wireless telecom equipments such as terminal, base stations
The linear characteristic of high power transmission device causes stress.Various communication standards all can be to the adjacent channel leakage ratio of transmitting
(Adjacent Channel Leakage Ratio, ACLR) and spectrum mask propose to be strict with, in order to meet these requirements,
It needs that signal is allowed to have significantly back-off (BOF) in design power amplifier, does so very uneconomical, therefore need to introduce pre-
Correcting technology is to guarantee the linear characteristic of RF emission system.
As previously mentioned, existing predistortion technology has also been widely applied in RF emission system, but its realization is more multiple
It is miscellaneous, higher cost.
In embodiments of the present invention, it is zoomed in and out, is generated by the original data to be launched to the RF emission system
Index data inquires correction table according to the index data and obtains Pre-distortion factors, using the Pre-distortion factors to described original
Data to be launched are corrected, and can correct the non-linear of the RF emission system, and in the emission system with not
With power emission original data to be launched when, same inquiry correction table can be inquired, without being directed to different transmitting function
Rate generates different correction tables, therefore can reduce the complexity of the predistortion for RF emission system, and reduce cost.
It is understandable to enable above-mentioned purpose of the invention, feature and beneficial effect to become apparent, with reference to the accompanying drawing to this
The specific embodiment of invention is described in detail.
Fig. 1 is a kind of flow chart of the predistortion method for RF emission system in the embodiment of the present invention.
In step s 11, the original data to be launched of the RF emission system are zoomed in and out to generate index data,
The current transmission power of the index data and the RF emission system is adapted.
Original data to be launched can be the data for needing RF emission system to be emitted, which is without pre- school
Just and without nonlinear device handle data, such as in Fig. 2 x point data.Fig. 2 is a kind of radio frequency in the embodiment of the present invention
The structural schematic diagram of emission system may include that radio frequency sending set imperfection compensating module 22, radio frequency sending set 23, power are put
Big device 24 and antenna 26.Wherein, radio frequency sending set imperfection compensating module 22 may include orthogonal modulation (In-phase
Quadrature, IQ) unbalance compensator, carrier leakage compensation device, the filter channel response devices such as compensator.
In specific implementation, original data to be launched are zoomed in and out, can be working as according to the RF emission system
The ratio of the maximum transmission power of preceding transmission power and the RF emission system zooms in and out, and obtains index data.
In an embodiment of the present invention, index data is amplitude data, and the generation index data may include: to calculate institute
The instantaneous amplitude is multiplied to obtain the index data with zoom factor by the instantaneous amplitude for stating original data to be launched.It is described
Zoom factor, which can be, to be determined by the current transmission power and emission maximum mean power of the RF emission system, for example,
Zoom factor Fscale=sqrt (Ptrain/PTx), wherein PtrainFor the maximum average emitted power of radio frequency system, PTxIt is current
The average power signal of transmitting.
With continued reference to Fig. 1, in step s 12, correction table is inquired according to the index data and obtains Pre-distortion factors, it is described
Correction table is trained using the emission maximum mean power output of the RF emission system.
Fig. 3 is the schematic illustration of the predistortion of RF emission system in the embodiment of the present invention, below in conjunction with Fig. 3 to this hair
Bright embodiment is described further.
The non-linear of RF emission system can show two aspects: amplitude non-linearity AMAM and phase nonlinear
AMPM.Wherein, amplitude non-linearity AMAM performance is the instantaneous output amplitude of RF emission system with the non-of input instantaneous amplitude
Linear change；Phase nonlinear AMPM performance is the phase delay of RF emission system with the variation of defeated instantaneous amplitude.
Curve 31 and curve 34 are qualitatively demonstrated by the nonlinear response of RF emission system in figure, in order to compensate for both
Non-linear behavior is realized the linear response that wherein dotted line 36 and dotted line 37 are characterized, is needed the signal of unbalanced input device
The predistortion such as curve 32 as curve 33 is carried out, such as can be pre- abnormal to original data progress to be launched according to correction table
Become.
Since RF emission system can be in the prior art, usually corresponding with different transmission powers in transmitting data
Different transmission powers or different gain shifts are stored with different correction tables, or determine and correspond in transmitting data every time
The correction parameter of the transmission power.It will cause the significant wastage of system resource in this way.
And in embodiments of the present invention, the correction table is the emission maximum mean power using the RF emission system
What output was trained, the correction table of available covering each transmission power of RF emission system, that is, such as void in Fig. 3
Range shown in line 301.When transmission power when using is identical as maximum power, range of tabling look-up is the model of entire correction table
It encloses；In current transmission power than maximum transmission power hour, the range of tabling look-up after scaling is a part of former correction table, such as dotted line
Range shown in 302, so there is no need to store multiple correction tables or determine the required parameter of correction before emitting data every time, thus
It can simplify radio frequency system, and then reduce system cost.Range of tabling look-up can be by zoom factor and original data to be launched
Zoom factor, which can be, to be determined by the current transmission power and emission maximum mean power of the RF emission system.
With continued reference to Fig. 1, in step s 13, the original data to be launched are rectified using the Pre-distortion factors
Just, to correct the non-linear of the RF emission system.
In an embodiment of the present invention, Pre-distortion factors are obtained by way of inquiring correction table, by the instantaneous amplitude
It is multiplied with the improvement factor；The improvement factor is plural number, by the way that instantaneous amplitude is multiplied with improvement factor, can compensate institute
State the amplitude non-linearity of RF emission system, for example, in Fig. 3 it is non-linear shown in curve 31, to realize in Fig. 3 such as dotted line 36
Amplitude linearity；The phase nonlinear of the RF emission system can also be compensated, for example, in Fig. 3 it is non-linear shown in curve 34,
To realize the phase linearity in Fig. 3 such as dotted line 37.
In specific implementation, step S12 and step S13 can be realized by predistortion unit 21 (referring to fig. 2).
Fig. 4 is a kind of flow chart of training method in the embodiment of the present invention, and in specific implementation, the correction table can be
It is obtained by following training method:
In step S41, according to will send the data to be launched to the antenna of the RF emission system obtain train number
According to the data to be launched are associated with the original data to be launched, the training data and the original data to be launched
Between have corresponding relationship.
It is original data to be launched without pre- that the data to be launched to the antenna of the RF emission system, which will be sent,
In the case where correction process, via one or more nonlinear devices treated data, for example, will send to the radio frequency
The data to be launched of the antenna of emission system can be the data that will be sent to antenna 26 in Fig. 2, and original data to be launched are x point
Data；Since training data is to be obtained according to original data to be launched, therefore deposit between training data and original data to be launched
In corresponding relationship.
In specific implementation, according to will send the data to be launched to the antenna of the RF emission system obtain train number
According to include: coupling will send to the data to be launched of the antenna of the RF emission system, to obtain coupling data；To the coupling
Data are closed to be handled to obtain training data.
In an embodiment of the present invention, it (referring to Fig. 3, can be said below in conjunction with Fig. 3 by radio-frequency power coupler 25
It is bright) the coupling data to be launched, obtain coupling data.Being handled to obtain training data to the coupling data can wrap
It includes: coupling data being received by RF FEEDBACK receiver 27 (referring to fig. 2, being illustrated below in conjunction with Fig. 2), is carried out under IQ demodulation
Frequency conversion becomes base band I/Q signal；Base band I/Q signal is carried out non-ideal by RF FEEDBACK receiver imperfection compensating module 28
Property compensation after, obtain y in training data, that is, Fig. 2train。
In step S42, it is aligned the training data and the original data to be launched, so that the instruction after alignment
Practice data and the original data to be launched meet the corresponding relationship in error range.
Although training data derives from the original data to be launched, but it is understood that, due to passing through radio frequency system,
There can be certain delay, therefore the training data and original data to be launched corresponding to synchronization are not that there are corresponding relationships
Training data and original data to be launched.And if generate correction table, be need according to there are the training data of corresponding relationship and
What original data to be launched generated, therefore need to be aligned the training data and the original data to be launched, so that the training
Data and the original data to be launched meet the corresponding relationship in error range.
Referring to Fig. 5, in specific implementation, it is aligned the training data and the original data to be launched may include:
Step S51 is sampled to obtain and is trained sampled data to the training data.
Progress as needed can be to the sampling of training data, for example, can system delay on the estimation, need
The time span that the factors such as alignment accuracy determine sample frequency and sampled to training data.
Step S52 is sampled to obtain original sampled data to be launched to the original data to be launched.
In specific implementation, the time span of the sample frequency and sampling that the original data to be launched are sampled with
The time span of the sample frequency and samplings that sampled to the training data is adapted.
Step S53 is aligned institute according to the Magnitude Difference of the trained sampled data and the original sampled data to be launched
State training data and the original data to be launched.
In specific implementation, the Magnitude Difference of the trained sampled data and the original sampled data to be launched can be
System delay range on the estimation and it is expected that deviation, when different to the training sampled data summation of the synchronization in range
The Magnitude Difference for the original sampled data to be launched carved, can be using the minimum value position in above-mentioned Magnitude Difference as alignment
Position, to be aligned the training data and the original data to be launched.
In a specific implementation, the training data is sampled to obtain in step S51, sampled data is trained to can wrap
It includes: the training data being sampled with the first sample rate to obtain the first training sampled data, and with the second sample rate pair
The training data is sampled to obtain the second training sampled data.
Carrying out sampling to the original data to be launched in step S52 may include: with the first sample rate to described original
The first original sampled data to be launched that data to be launched are sampled, and with the second sample rate to described original pending
Penetrate the data are sampled second original sampled data to be launched.
It is aligned the training data in step S53 and the original data to be launched may include: to be adopted according to the first training
The Magnitude Difference of sample data and the first original sampled data to be launched carries out the first alignment, the precision and first of first alignment
Sample rate is corresponding；
On the basis of the described first alignment, according to the second training sampled data and the second original sampled data to be launched
Magnitude Difference carries out the second alignment, and the precision of second alignment is corresponding with the second sample rate.Wherein, second sample rate
Higher than first sample rate.
Referring to Fig. 6, in an embodiment of the present invention, first alignment may include:
Step S61 keeps in the first training sampled data.
In specific implementation, the first training sampled data adder array 71 can be temporarily stored into (referring to Fig. 7, to tie below
Fig. 7 is closed to be illustrated) in the register of one end, adder array can be used for calculating trained sampled data and original to be launched adopt
The Magnitude Difference of sample data, an adder in adder array can be used for training a sampled point in sampled data and
The comparison of a sampled point in original sampled data to be launched.
Step S62 carries out predelay to the described first original sampled data to be launched, by described first after predelay to
Transmitting sampled data is successively compared with the first training sampled data.
In specific implementation, the predelay can be the preset value obtained based on experience value and be postponed, and selection is suitable
Preset value can reduce complexity, training for promotion speed.
In specific implementation, predelay can be the predelay by being made of counter and fractional number frequency delay cell
Unit 72 completes predelay.First original sampled data to be launched may include phase information, therefore can pass through the first modulus
After unit 731, by predelay unit 72, it is compared with by the first training sampled data of the second modulus unit 732.
Due in step S61, training sampled data has been temporarily stored into one end of adder array 71, and each adder is to the
One should train the data of a sampled point in sampled data, therefore in specific implementation can be by the first original hits to be launched
According to successively sending to the other end of adder array 71, in the other end movement of adder array 71, so that within the scope of certain time
The first original sampled data to be launched in each sampled point can traverse successively with training sampled data in sampling
Point compares, and obtains one group of Magnitude Difference, and the different Magnitude Differences in this group of Magnitude Difference correspond to different aligned positions.
Step S63 determines the aligned position of first alignment according to comparison result.
In specific implementation, the every group of Magnitude Difference that adder array 71 can be obtained is sent into accumulator 74 and sums, and
It keeps in data base 75.Every group of Magnitude Difference corresponds to different aligned positions, the cumulative knot obtained according to every group of Magnitude Difference
Fruit may determine that most suitable aligned position in above-mentioned different aligned position.
For example, can search by minimum value searching unit 76, the minimum value in accumulation result is obtained, the minimum value is corresponding
First training sampled data and the first original sampled data to be launched relative time locations be the first alignment alignment bit
It sets.
It is understood that the sequence of step S61 and step S62 have no permanent order, can according to need successively serial
It executes or executes parallel.
Referring to Fig. 8, in specific implementation, the second alignment may include:
Step S81 keeps in the second training sampled data.
Step S82 carries out predelay to the described second original sampled data to be launched, and described second after predelay is former
The sampled data to be launched that begins is successively compared with the second training sampled data.
Step S83 determines the aligned position of second alignment according to comparison result.
Wherein, the second training sampled data and the second original sampled data to be launched are with pair of first alignment
It is acquired on the basis of neat position.Since the second sample rate is higher than the first sample rate, therefore second trains sampled data and second
The time interval of sampled point is less than the first training sampled data and the first original sampling to be launched in original sampled data to be launched
The time interval of sampled point in data, therefore the precision of the second alignment is higher than the first alignment, is on the basis of the first alignment into one
Step alignment.First alignment can be called integer alignment again, and the second alignment can be called score alignment again.
Similar to the first alignment, carrying out predelay to the described second original sampled data to be launched is according to the system estimated
What time delay, required precision and the range further determined that carried out, the second sample rate is higher, and predelay duration is got over
Short, the duration of predelay and second sample rate are negatively correlated.
In specific implementation, the second alignment can be using same or similar mode be aligned with first, and details are not described herein.
With continued reference to Fig. 4, in step S43, according to after alignment the training data and the original data to be launched
Generate the correction table.
In specific implementation, may include: referring to Fig. 9, step S43
S91 obtains third original according to the position after alignment to the training data and the original data sampling to be launched
Begin sampled data and third training sampled data to be launched.
S92 is instantaneously exported according to the original sampled data to be launched of the third and third training sampled data
The parameter Estimation of amplitude and/or phase, to obtain the Pre-distortion factors.
In a specific implementation, step S43 can also include: to carry out value protection processing to Pre-distortion factors.
In another specific implementation, step S43 can also include: that value protection treated result is carried out data to put down
It is sliding.
It can be seen that in the training method in the embodiment of the present invention, after alignment training data and original data to be launched,
According to after alignment training data and original data to be launched generate correction table, alignment when only data are kept in, and
And temporary data volume is smaller；And it usually requires that a large amount of training data and original number to be launched is stored in advance in the prior art
According to being aligned according to the training data and original data to be launched that prestore and generate correction table；Therefore divide in inventive embodiments
Training method is more succinct, and can save system resource.
In an embodiment of the present invention, the checking list is generated in the following way:
Data will be emitted according to duration T1Carry out predelay, T1=Tx→ytrain–Toffset.Wherein Tx→ytrainBe estimate from
X point (referring to fig. 2) arrives ytrainThe loop overall delay of point.ToffsetIt is preset rollback time delay.Tx→ytrain, ToffsetIt is
The integral multiple of sampling gap.
It is T using a segment lengthsync(Tsync>Toffset) original data to be launched and training data data carry out time delay estimate
Meter, obtains time delay estimated result Tintegar, the result of time delay estimation is for the first alignment.
The second alignment is carried out on the basis of the first alignment, specifically: by time delay T2It is allocated in predelay unit 72
Integer delay unit, wherein T2=Tintegar+T1-floor[Toffset/ N], N be it is scheduled after of continuing rising adopt multiple, the second sample rate
For N times of the first sample rate.
To (the T of another segment lengthsync/ N) original data to be launched and training data rise sampling N times, progress time delay estimate
Meter, time delay estimated result are Tfrac。
By time delay T3It is allocated to integer delay unit, by T4It is allocated to fractional delay module, in which: T3=floor [Tfrac/
N]+T2, by T4=Tfrac/N–floor[Tfrac/ N], to realize that total delay is T to data to be launched3+T4Time delay, described in alignment
Original data to be launched and the training data.
The original data to be launched and training data for taking a segment length carry out AMAM/AMPM parameter Estimation.Generation length is L
AMAM table, list item be (AM1, AM2 ... AML), length be L AMPM table (PM1, PM2 ... PML).
As can be seen that the utilized data of first alignment are rejected, then new data is taken to carry out after the alignment of completion first
Second alignment.In alignment procedure, data are only temporarily stored into adder array, and do not need to save the training data of big section, and
And first alignment and second alignment can be multiplexed the same adder array, so as to simplify circuit structure, reduce circuit at
This.
The result of parameter Estimation is subjected to value protection processing；Value protection treated result is subjected to data smoothing；
Result calculated complex coordinate after data smoothing to Cartesian coordinate is converted, LUT list item is converted into, list item is (a1+jb1, a2
+ jb2 ... ... aL+jbL), wherein each list item is an improvement factor, LUT table is correction table.
The embodiment of the present invention also provides a kind of de-distortion equipment for RF emission system, and structural schematic diagram is referring to figure
10。
De-distortion equipment 100 for RF emission system may include:
Index data generation unit 101, suitable for the original data to be launched to the RF emission system zoom in and out with
Index data is generated, the current transmission power of the index data and the RF emission system is adapted；
Improvement factor query unit 102 obtains Pre-distortion factors suitable for inquiring correction table according to the index data, described
Correction table is trained using the emission maximum mean power output of the RF emission system；
Correcting unit 103, suitable for being corrected using the Pre-distortion factors to the original data to be launched, with correction
The RF emission system it is non-linear.
In specific implementation, the index data generation unit 101, suitable for calculating the instantaneous of the original data to be launched
The instantaneous amplitude is multiplied to obtain the index data with zoom factor by amplitude, and the zoom factor is by the radio-frequency transmissions
The current transmission power and emission maximum mean power of system determine.
In specific implementation, the correcting unit 103 is suitable for for the instantaneous amplitude being multiplied with the improvement factor；It is described
Improvement factor is plural number.
It in specific implementation, can also include: that correction table generates list for the de-distortion equipment 100 of RF emission system,
104.Referring to Figure 11, the correction table generation unit 104 may include:
Training data unit 111 will send the data to be launched to the antenna of the RF emission system to obtain suitable for basis
To training data, the data to be launched are associated with the original data to be launched, the training data and it is described it is original to
Emitting has corresponding relationship between data；
Alignment unit 112 is suitable for being aligned the training data and the original data to be launched, so that the institute after alignment
It states training data and the original data to be launched meets the corresponding relationship in error range；
Generation unit 113, suitable for according to the training data after alignment and described in the original data to be launched generate
Correction table.
In specific implementation, the training data unit 111 may include:
Coupling unit (not shown) will be sent suitable for coupling to the data to be launched of the antenna of the RF emission system,
To obtain coupling data；
Coupling data processing unit (not shown), suitable for being handled to obtain training data to the coupling data.
Referring to Figure 12, in specific implementation, the alignment unit 112 may include:
Training sampled data unit 121 trains sampled data suitable for being sampled to obtain to the training data；
Original sampled data unit 122 to be launched, suitable for the original data to be launched sampled to obtain it is original to
Emit sampled data；
Difference unit 123, suitable for the amplitude difference according to the trained sampled data and the original sampled data to be launched
Value, is aligned the training data and the original data to be launched.
In specific implementation, the trained sampled data unit 121, be suitable for the first sample rate to the training data into
Row sampling obtains the first training sampled data, and is sampled to obtain the second training to the training data with the second sample rate
Sampled data；
The original sampled data unit 122 to be launched, be suitable for the first sample rate to the original data to be launched into
The first original sampled data to be launched that row sampling obtains, and the original data to be launched are adopted with the second sample rate
The second original sampled data to be launched that sample obtains；
The difference unit 123, may include the first difference unit and the second difference unit:
First difference unit, suitable for the width according to the first training sampled data and the first original sampled data to be launched
It spends difference and carries out the first alignment, the precision of first alignment is corresponding with the first sample rate；
Second difference unit is suitable on the basis of the described first alignment, according to the second training sampled data and the
The Magnitude Difference of two original sampled datas to be launched carries out the second alignment, and the precision of second alignment is opposite with the second sample rate
It answers；
Wherein, second sample rate is higher than first sample rate.
In specific implementation, the first difference unit and the second difference unit can be multiplexed same adder array, such as
In embodiment shown in Fig. 7, adder array 71 can be multiplexed.By the multiplexing of adder array, it can effectively simplify and penetrate
The structure of predistorter in frequency emission system, and then the cost of RF emission system can be reduced.
Referring to Figure 13, in specific implementation, first difference unit 130 may include:
First temporary storage location 131, suitable for keeping in the first training sampled data；
First comparing unit 132 is suitable for carrying out predelay to the described first original sampled data to be launched, after predelay
The described first original sampled data to be launched successively compared with the training data；
First position unit 133, suitable for determining the aligned position of first alignment according to comparison result.
Referring to Figure 14, in specific implementation, second difference unit 140 may include:
Second temporary storage location 141, suitable for keeping in the second training sampled data；
Second comparing unit 142 is suitable for carrying out predelay to the described second original sampled data to be launched, after predelay
The described second original sampled data to be launched successively compared with the training data；
Second position unit 143, suitable for determining the aligned position of second alignment according to comparison result；
Wherein, the second training sampled data and the second original sampled data to be launched are with pair of first alignment
It is acquired on the basis of neat position；It is described to the described second original sampled data to be launched carry out the delay duration of predelay with
Second sample rate is negatively correlated.
With continued reference to Figure 11, in specific implementation, the generation unit 113 may include:
Sampling unit (not shown), suitable for according to the position after alignment to the training data and the original number to be launched
According to sampling, the original sampled data to be launched of third and third training sampled data are obtained；
Pre-distortion factors unit (not shown) is adopted according to the original sampled data to be launched of the third and third training
Sample data carry out the parameter Estimation of instantaneous output amplitude and/or phase, to obtain the Pre-distortion factors.
Specific implementation in the embodiment of the present invention for the de-distortion equipment of RF emission system may refer to for radio frequency
The predistortion method of emission system, this is not repeated.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include: ROM, RAM, disk or CD etc..
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (14)
1. a kind of correction table generating method for RF emission system characterized by comprising
According to the data to be launched to the antenna of the RF emission system will be sent to obtain training data, the data to be launched
It is associated with the original data to be launched of the RF emission system, between the training data and the original data to be launched
With corresponding relationship；
It is aligned the training data and the original data to be launched, so that the training data and described original after alignment
Data to be launched meet the corresponding relationship in error range；
According to the training data and the original data generation to be launched correction table after alignment.
2. correction table generating method according to claim 1, which is characterized in that according to will send to the radio-frequency transmissions system
The data to be launched of the antenna of system obtain training data and include:
Coupling will be sent to the data to be launched of the antenna of the RF emission system, to obtain coupling data；
The coupling data is handled to obtain training data.
3. correction table generating method according to claim 1, which is characterized in that the alignment training data and described
Original data to be launched include:
The training data is sampled to obtain and trains sampled data；
The original data to be launched are sampled to obtain original sampled data to be launched；
According to the Magnitude Difference of the trained sampled data and the original sampled data to be launched, be aligned the training data and
The original data to be launched.
4. correction table generating method according to claim 3, which is characterized in that sampled to obtain to the training data
Training sampled data includes: the training data sampled with the first sample rate to obtain the first training sampled data, and
The training data is sampled with the second sample rate to obtain the second training sampled data；
It is described that carry out sampling to the original data to be launched include: to be carried out with the first sample rate to the original data to be launched
Sampling obtains the first original sampled data to be launched, and sample to the original data to be launched with the second sample rate
To the second original sampled data to be launched；
The Magnitude Difference according to the trained sampled data and the original sampled data to be launched is aligned the trained number
Include: according to the original data to be launched
The first alignment is carried out according to the Magnitude Difference of the first training sampled data and the first original sampled data to be launched, described the
The precision of one alignment is corresponding with the first sample rate；
On the basis of the described first alignment, according to the amplitude of the second training sampled data and the second original sampled data to be launched
Difference carries out the second alignment, and the precision of second alignment is corresponding with the second sample rate；
Wherein, second sample rate is higher than first sample rate.
5. correction table generating method according to claim 4, which is characterized in that it is described according to first training sampled data and
The Magnitude Difference of first original sampled data to be launched carries out the first alignment
Keep in the first training sampled data；
Predelay is carried out to the described first original sampled data to be launched, by the described first original sampling to be launched after predelay
Data are successively compared with the first training sampled data；
The aligned position of first alignment is determined according to comparison result.
6. correction table generating method according to claim 5, which is characterized in that the second training sampled data and second
Original sampled data to be launched is acquired on the basis of the aligned position of first alignment；It is described at described first pair
On the basis of neat, the second alignment is carried out according to the Magnitude Difference of the second training sampled data and the second original sampled data to be launched
Include:
Keep in the second training sampled data；
Predelay is carried out to the described second original sampled data to be launched, by the described second original sampling to be launched after predelay
Data are successively compared with the second training sampled data；
The aligned position of second alignment is determined according to comparison result；
Wherein, the delay duration and second sample rate that predelay is carried out to the described second original sampled data to be launched
It is negatively correlated.
7. correction table generating method according to claim 1, which is characterized in that the trained number according to after alignment
Include: according to the correction table is generated with the original data to be launched
According to the position after alignment to the training data and the original data sampling to be launched, it is original to be launched to obtain third
Sampled data and third training sampled data；
According to the original sampled data to be launched of the third and third training sampled data carry out instantaneous output amplitude and/or
The parameter Estimation of phase, to obtain Pre-distortion factors.
8. a kind of correction table creating device for RF emission system characterized by comprising
Training data unit will send the data to be launched to the antenna of the RF emission system to obtain training number suitable for basis
According to, the data to be launched are associated with the original data to be launched of the RF emission system, the training data with it is described
There is corresponding relationship between original data to be launched；
Alignment unit is suitable for being aligned the training data and the original data to be launched, so that the training after alignment
Data and the original data to be launched meet the corresponding relationship in error range；
Generation unit, suitable for according to the training data and the original data generation to be launched correction table after alignment.
9. correction table creating device according to claim 8, which is characterized in that the training data unit includes:
Coupling unit will be sent suitable for coupling to the data to be launched of the antenna of the RF emission system, to obtain coupling numbers
According to；
Coupling data processing unit, suitable for being handled to obtain training data to the coupling data.
10. correction table creating device according to claim 8, which is characterized in that the alignment unit includes: trained sampling
Data cell trains sampled data suitable for being sampled to obtain to the training data；
Original sampled data unit to be launched, suitable for being sampled to obtain original sampling to be launched to the original data to be launched
Data；
Difference unit, suitable for the Magnitude Difference according to the trained sampled data and the original sampled data to be launched, alignment
The training data and the original data to be launched.
11. correction table creating device according to claim 10, which is characterized in that the trained sampled data unit is fitted
In being sampled to obtain the first training sampled data to the training data with the first sample rate, and with the second sample rate to institute
Training data is stated to be sampled to obtain the second training sampled data；
The original sampled data unit to be launched, suitable for sample to the original data to be launched with the first sample rate
The original data to be launched are sampled to obtain second to the first original sampled data to be launched, and with the second sample rate
Original sampled data to be launched；
The difference unit, including the first difference unit and the second difference unit:
First difference unit, suitable for the amplitude difference according to the first training sampled data and the first original sampled data to be launched
Value carries out the first alignment, and the precision of first alignment is corresponding with the first sample rate；
Second difference unit is suitable on the basis of the described first alignment, former according to the second training sampled data and second
The Magnitude Difference for the sampled data to be launched that begins carries out the second alignment, and the precision of second alignment is corresponding with the second sample rate；
Wherein, second sample rate is higher than first sample rate.
12. correction table creating device according to claim 11, which is characterized in that first difference unit includes:
First temporary storage location, suitable for keeping in the first training sampled data；
First comparing unit is suitable for carrying out predelay to the described first original sampled data to be launched, described in after predelay
First original sampled data to be launched is successively compared with the training data；
First position unit, suitable for determining the aligned position of first alignment according to comparison result.
13. correction table creating device according to claim 12, which is characterized in that the second training sampled data and the
Two original sampled datas to be launched are acquired on the basis of the aligned position of first alignment；The second difference list
Member includes:
Second temporary storage location, suitable for keeping in the second training sampled data；
Second comparing unit is suitable for carrying out predelay to the described second original sampled data to be launched, described in after predelay
Second original sampled data to be launched is successively compared with the training data；
Second position unit, suitable for determining the aligned position of second alignment according to comparison result；
Wherein, the delay duration and second sample rate that predelay is carried out to the described second original sampled data to be launched
It is negatively correlated.
14. correction table creating device according to claim 8, which is characterized in that the generation unit includes: that sampling is single
Member, suitable for the training data and the original data sampling to be launched, obtained according to the position after alignment third it is original to
Emit sampled data and third training sampled data；
Pre-distortion factors unit carries out wink according to the original sampled data to be launched of the third and third training sampled data
When output amplitude and/or phase parameter Estimation, to obtain Pre-distortion factors.
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