CN101267187A - A self-adapted pre-distortion method and system for broadband linear power amplifier - Google Patents
A self-adapted pre-distortion method and system for broadband linear power amplifier Download PDFInfo
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Abstract
The present invention discloses a self-adapting predistortion method of a broadband linearization power amplifier and a system thereof, wherein the convergence character of the self-adapting predistortion algorithm itself is used. The self-adapting algorithm adopted by the predistortion unit is executed with dynamic selection according to the value of the error signal. The signal outputted by the broad band power amplifier passes through a down frequency-converting and high-speed ADC and is then transmitted to the self-adapting algorithm unit for comparing with the desired signal thereby obtaining the error signal of the two sides. The self-adapting algorithm of the corresponding convergence character is dynamically selected according to the magnitude of the error signal. As the self-adapting predistortion method of the invention is combined with the character of rapid convergence algorithm and smooth convergence algorithm, the velocity of predistortion estimating is increased and the operand is reduced. The complexity degree for realizing the hardware of the algorithm is reduced.
Description
Technical field
The invention belongs to wireless communication technology field, relate to the pre-distortion technology of the linear power amplifier that the transmitter of system of broadband wireless communication adopts, a kind of specifically adaptive pre-distortion method and system that is applicable to broadband linear power amplifier.
Background technology
Amplifier is the main devices of communication and radar system, because the development of linearity modulation technique, the employing of non-permanent envelope modulation technology is had higher requirement to the linearity of power amplifier.
In the process of radio communication development; improve the transmission quality and the availability of frequency spectrum is the source that promotes the wireless communication technology development always; and the higher modulation system of efficient can be had relatively high expectations to the linearity of the transmitter of making a start usually, and this just makes the power amplifier linearization technology become the key technology of wireless telecommunication system of future generation.In modern wireless communication systems, power amplifier is an important device, and signal must carry out linear amplification and frequency inverted (up-conversion and down-conversion) to signal at the transmitting terminal and the receiving terminal of communication system when transmission.In the process of signal being amplified with power amplifier, the amplitude distortion of signal and phase distortion all can cause the losing of information (suppose the amplitude of signal and phase place all carry information), thereby cause the increase of the error rate (BER).Therefore, the linear properties of power amplifier is considerable index in the design of Modern Communication System.We know that available radio spectrum bandwidth is limited, on the other hand, can be known by the channel capacity formula of Shannon (Shannon) that channel capacity also is limited.Therefore, along with the surge of communication user, it is more and more crowded that channel will become, and in order to guarantee to have the lower error rate when transmitting, requires power amplifier to have the favorable linearity performance.In actual application, in order to raise the efficiency, power amplifier is usually operated at the nonlinear area near the saturation region.And this nonlinear characteristic will be introduced harmonic component, and these harmonic components have not only reduced signal to noise ratio, and usually can cause crosstalking of interchannel, thereby causes the distortion and the distortion of signal.
In addition, generally all emphasize constant envelope modulation in the mobile communication system in the past, routine FM (Frequency-Modulation frequency modulation) and GMSK (Gaussian Minimum Shift Keying gaussian minimum shift is keying mutually).In these modulation techniques, power amplifier is operated in nonlinear area near the saturation region to obtain high power efficiency, the intermodulation component of the adjacent channel that can not exert an influence.Each channel adopts a power amplifier respectively, synthetic again output after the narrow band filter filtering of heaviness.But permanent envelope modulation can only be utilized limited frequency spectrum, has caused pressure to communication system.Development along with mobile communication, requirement to capacity of communication system is more and more higher, simultaneously in order to make full use of frequency resource, the transmission rate of raising system, linearity modulation technique such as QPSK, 16QAM (16 Quadrature Amplitude Modulation hexadecimal quadrature Modulation and Amplitude Modulation) and multi-carrier modulation technology such as OFDM, WCDMA etc. have obtained application more and more widely.Because the envelope of linear modulation or multicarrier modulated signal fluctuates, adopt the signal envelope of these modulation techniques to change, and the signal envelope that changes non-linear very sensitive to power amplifier will increase the nonlinear distortion of amplifier signal like this.These fluctuations will produce intermodulation component through behind the nonlinear radio-frequency power amplifier, and can produce monkey chatter, have a strong impact on communication quality, so require to use the power amplifier of high linearity that the intermodulation distortion of exporting is suppressed.These are all had higher requirement to the linearity of power amplifier.
Therefore, the linearization technique of power amplifier just progressively becomes important research focus of wireless communication field.Proposed many linearization techniques in more than ten years in the past, wherein main has: rollback method, feed forward approach and pre-distortion method.
Pre-distortion technology is one of compensated amplifier nonlinear distortion the best way.Use this technology, at the power amplifier input with the anti-distortion nonlinear distortion of offsetting power amplifier.Change with the working point (power output) of amplifier if design this anti-distortion characteristic, regulate this distortion so and just can compensate by temperature, supply voltage, pipe are aging etc. and cause that changing operate-point causes the decline of systematic function.At present, pre-distortion technology comprises radio frequency distortion, intermediate frequency predistortion and three kinds of methods of base band predistortion.The radio frequency distortion technology has easy realization, low cost and other advantages, and its shortcoming is to use the non-linear active device of radio frequency, is difficult to regulate and control, can not accomplish self adaptation faster.The intermediate frequency predistorter can compensate because the nonlinear distortion that three intermodulation of power amplifier cause by adjusting the coefficient of predistorter.But this method adopts analog circuit to realize linearisation, and is limited to the degree of improvement of nonlinear distortion.The base band predistortion technology is handled signal in base band, can be realized by the algorithm of digital signal processor DSP and self-adapted pre-distortion.The base band predistortion technology does not relate to complicated radiofrequency signal to be handled, and only baseband signal is handled, and is easy to accomplish self adaptation, is convenient to adopt modern Digital Signal Processing to realize that therefore, it is a kind of better linearity method.
The base band predistortion technology is meant the technology of finishing pre-distortion in digital field, two kinds of implementations are generally arranged, and realizes and realizes based on the mode of look-up table based on the parameter model of non-linear radio frequency power amplifier.The parameter model of radio-frequency power amplifier has many, as multinomial model, Volterra progression model.The multinomial pre-distortion system is the popularization of three rank pre-distortion systems, after simulation polynomial predistortion distorter occurs, the multinomial pre-distortion system with the digital technology realization just occurred, and has progressively developed perfect.Volterra progression is the universal model of describing non linear system, and it can solve the memory effect of amplifier nonlinearity, is one of focus of present research.
In present moving communicating field, overcome multipath and disturb, improving communication quality is a very important problem, particularly when the characteristic of channel not fixedly the time, this problem is just particularly outstanding, and the appearance of sef-adapting filter has then perfectly solved this problem.The core of self-adapted pre-distortion filter is an adaptive algorithm, uses system block diagram that adaptive algorithm realizes that self-adapted pre-distortion handles as shown in Figure 1 in the prior art.Two kinds of typical adaptive algorithms are wherein arranged: least mean square algorithm (Recursive Least Square, LMS) and the minimum quadratic power algorithm of recurrence (Least Mean Square, RLS).The elementary object of self-adapted pre-distortion filter (Adaptive Filter) is to adjust its parameter in some way, allows the output of filter allow the target function that comprises certain specific reference signals minimize as much as possible.The method of adjusting filter parameter is exactly adaptive algorithm (Adaptive Algorithm), and considers that based on different aspects algorithm has employed separately scope.
The LMS algorithm is the adaptive optimization algorithm that is most widely used.It is based on, and the Weiner filter of minimum mean square error criterion (MMSE) and steepest descent method propose.According to the thought of steepest descent algorithm, the weight vector updating value when n+1 can be calculated by following simple recurrence relation:
Then have:
W(n+1)＝W(n)+μ(r
xd-R
xxW) (2)
In the reality, if directly use formula (2) just need know R
XxAnd r
XdPriori value, this is difficult to know that conspicuous method is to replace with instantaneous estimation, promptly uses:
So obtain more new formula of weight vector:
W(n+1)＝W(n)+μX(n)e
*(n) (5)
μ is a constant in the formula, is used to control the convergence property of random weight vector W (n), and 0＜μ＜Trace (R
Xx), wherein matrix trace is asked in Trace computing representative, is matrix master diagonal element sum.The major advantage of least mean square algorithm is can stable convergence, and simple in structure, and it is convenient to realize; Sample is one by one upgraded.When the statistical nature of channel circumstance was steady and unknown, the algorithm of sample renewal can well be worked one by one.Shortcoming is the feature structure that its convergence property depends on the autocorrelation matrix of input signal, and when the characteristic value scattered band was big, algorithm the convergence speed was very slow.
The RLS algorithm is to use a kind of method of iteration to finish inverting of matrix.Its recurrence formula is as follows:
W(n)＝W(n-1)+g(n)[d(n)-X
H(n)W(n-1)]
* (6)
C(n)＝λ
-1[C(n-1)-g(n)X
H(n)C(n-1)]
Wherein, W (0)=0, C (0)=δ
-1I, δ are smaller arithmetic numbers, and λ is a forgetting factor, and the λ value satisfies 0＜λ＜1.
The advantage of RLS algorithm is a fast convergence rate, and when signal to noise ratio was higher, the RLS algorithm the convergence speed was than the fast order of magnitude of LMS algorithm.Shortcoming is can not stable convergence.Secondly, it scatters insensitive to the characteristic value of array signal covariance matrix, and amount of calculation is bigger.
Summary of the invention
One object of the present invention is to provide a kind of system that realizes the self-adapted pre-distortion processing of broadband linear power amplifier.
Another object of the present invention is to provide a kind of adaptive pre-distortion method of broadband linear power amplifier.
A kind of system that realizes the self-adapted pre-distortion processing of broadband linear power amplifier provided by the invention, comprise pre-distortion unit, high-speed digital-analog converter DAC, up-conversion unit, wideband power amplifer WPA, down-converter unit, high speed analog-to-digital converter ADC, error signal decision unit, fast restrain the adaptive algorithm unit, steadily restrain the adaptive algorithm unit
Wherein said pre-distortion unit is used for the baseband signal of input is carried out predistortion filtering, baseband signal through predistortion filtering is input to described WPA behind DAC and up-conversion unit, the part signal in the output signal of described WPA feeds back to described error signal decision unit behind down-converter unit and ADC;
Described error signal decision unit is used for calculating the prior uncertainty signal according to described feedback signal and desired signal, and select the employed adaptive algorithm of pre-distortion unit according to the size of prior uncertainty signal, when the priori error signal is big, described error signal decision unit selects to connect described quick convergence adaptive algorithm unit, and this moment, pre-distortion unit was used convergence adaptive algorithm fast; When the priori error signal hour, described error signal decision unit selects to connect described steady convergence adaptive algorithm unit, this moment, pre-distortion unit was used steadily convergence adaptive algorithm;
Described desired signal is obtained through time-delay by the input baseband signal of pre-distortion unit, or described desired signal is the baseband signal of pre-distortion unit output.
Alternatively, this system also comprises delay unit, is used for the input baseband signal of pre-distortion unit is delayed time to obtain described desired signal.
Alternatively, described pre-distortion unit adopts nuclear model in the multinomial.
Alternatively, described pre-distortion unit realizes as its hardware by FPGA, and according to the computational complexity of adaptive algorithm, selects the expansion of dsp chip as hardware platform for use, to improve the performance and the flexibility of pre-distortion algorithms.
Alternatively, the sampling rate of described DAC unit reaches more than the 1000MPS, and interpolation filter, to satisfy the requirement of wideband baseband signal transmission.
Alternatively, quick convergence adaptive algorithm wherein is RLS algorithm or LRLS algorithm or FTRLS algorithm; Wherein steady convergence adaptive algorithm LMS algorithm or DLM algorithm or DCT-LMS algorithm.
The present invention also provides a kind of adaptive pre-distortion method of broadband linear power amplifier, wherein Shu Ru baseband signal is after pre-distortion unit is handled, behind high-speed digital-analog converter DAC and up-conversion unit, be input to wideband power amplifer WPA again, part signal in the output signal of described WPA feeds back to the error signal decision unit behind down-converter unit and ADC, described error signal decision unit calculates the prior uncertainty signal, select suitable adaptive algorithm to carry out pre-distortion according to the value of prior uncertainty signal, concrete steps are as follows:
Step 1: the error signal decision unit calculates the prior uncertainty signal according to described feedback signal and desired signal, wherein desired signal is obtained through time-delay by the input baseband signal of pre-distortion unit, or described desired signal is the baseband signal of pre-distortion unit output;
Step 2: the error signal decision unit is selected to restrain adaptive algorithm fast or steadily restrain adaptive algorithm according to the size of prior uncertainty signal, if the prior uncertainty signal is bigger, then selects convergence adaptive algorithm fast; If the prior uncertainty signal is less, then select steadily convergence adaptive algorithm;
Step 3: pre-distortion unit is carried out predistortion filtering according to the quick convergence adaptive algorithm or the tap coefficient of steadily restraining the adaptive algorithm feedback.
Alternatively, wherein restraining adaptive algorithm fast is RLS algorithm or LRLS algorithm or FTRLS algorithm.
Alternatively, wherein steadily restraining adaptive algorithm is LMS algorithm or DLM algorithm or DCT-LMS algorithm.
Alternatively, the function that calculates the prior uncertainty signal in the step 1 is: e[n]=z[n]-C[n] B[n], e[n wherein] and be the value of prior uncertainty signal, z[n] baseband signal exported for pre-distortion unit, C[n] be the filter factor of pre-distortion unit, B[n] be described feedback signal
The present invention can improve the performance of self-adapted pre-distortion algorithm, reduces the complexity of its realization simultaneously greatly.This pre-distortion system in the implementation method of a kind of self-adapted pre-distortion flexibly and effectively provided by the invention system comprises two class self-adapted pre-distortion algorithms, at different input signals, can dynamically select adaptive algorithm, improve the convergence rate of pre-distortion unit, and help the hardware realization of pre-distortion algorithms more.
The present invention has following advantage:
(1) adaptive pre-distortion method of broadband linear power amplifier of the present invention is owing to combine quick convergence algorithm and the characteristic of steady convergence algorithm, improved the speed that its predistortion is estimated, significantly reduce the operand that predistortion is estimated simultaneously, reduced the expense of pre-distortion system.
(2) adaptive pre-distortion method of broadband linear power amplifier of the present invention greatly reduces the complexity that hardware algorithm is realized owing to adopt the Dynamic Selection mechanism of adaptive algorithm.
Description of drawings
Fig. 1 is the block diagram of self-adapted pre-distortion treatment system of the prior art;
Fig. 2 is the block diagram of self-adapted pre-distortion treatment system of the present invention.
Embodiment
Be described further below in conjunction with 2 pairs of embodiments of the present invention of accompanying drawing.
System shown in Figure 2 comprises wideband baseband signal unit, pre-distortion unit, high-speed DAC (Digital AnalogConverter, digital-to-analog converter), up-conversion unit, WPA (Wideband Power Amplifier, wideband power amplifer), down-converter unit, high-speed ADC (Analog Digital Converter, A-D converter), the error signal decision unit, fast restrain the adaptive algorithm unit, steadily restrain the adaptive algorithm unit, comprise delay unit alternatively.Wherein said pre-distortion unit can be by FPGA (Field Programmable Gate Arrays, gate array can be edited in the scene) realize as its hardware, computational complexity according to adaptive algorithm, select DSP (Digital Signal Processing for use, Digital Signal Processing) chip improves the performance and the flexibility of pre-distortion algorithms as the expansion of hardware platform.The sampling rate of described high-speed DAC unit requires to reach more than the 1000MPS, requires interpolation filter, satisfies the requirement of wideband baseband signal transmission.Key of the invention process is that the coordination of error signal decision unit and two adaptive algorithm unit is estimated.
The adaptive pre-distortion method that adopts the present invention to propose, the concrete grammar of base band predistortion system implementation shown in Figure 2 is as follows:
(1) the broadband wireless baseband signal adopts OFDM (OahogonalFrequency Division Multiplexing OFDM) baseband signal or other broadband wireless signals through QAM (Quadrature Amplitude Modulation quadrature amplitude modulation) or QPSK (Quadrature Phase Shift Keying orthogonal PSK) modulation, this baseband signal as the input signal of pre-distortion unit, becomes the RF signal behind the conversion of process high speed D, up-conversion and the WPA afterwards behind the peak value wave absorption.
(2) obtain feedback signal B (n) after part RF signal process down-conversion and the high-speed AD conversion, B (n) enters the error signal decision unit.The nonlinear memory distorted characteristic of feedback signal B (n) reflection WPA.
(3) structure digital pre-distortion algorithm kernel, adopt following multinomial model as follows:
C represents the coefficient of filter in the formula, and x (n) is the input of predistortion kernel, the output of Z (n) expression predistortion kernel, and K is the exponent number of multinomial model, Q is predistortion memory effect length (being the memory span of power amplifier);
(4) the error signal decision unit calculates the prior uncertainty signal according to desired signal and feedback signal B (n), and soon feedback signal and desired signal are made comparisons, thereby obtains both error signals.Desired signal has the definition of two kinds of methods: the one, and time-delay obtains through delay unit by the input signal of pre-distortion unit, is designated as d (n), and this definition is applicable to the self-adapted pre-distortion model of inverting indirectly; The 2nd, the baseband signal of pre-distortion unit output is designated as z[n], this definition is applicable to the self-adapted pre-distortion model of directly inverting
When adopting the self-adapted pre-distortion model of directly inverting, the error signal decision unit calculates the prior uncertainty signal by following formula:
e[n]＝z[n]-C[n]B[n] (8)
E[n wherein] be the value of prior uncertainty signal, z[n] be the baseband signal of pre-distortion unit output, C[n] and be the filter factor of pre-distortion unit, B[n] be described feedback signal.
(5) according to the size of error signal, select suitable adaptive algorithm.General rule is as follows:
A) the predistortion filter coefficient is from initially to the optimum state first time, in this process, the value of error signal is generally bigger, and the convergence rate to this process requires faster in the practical application, thereby make power amplifier enter stable linear working state fast, should adopt RLS and relevant quick self-adapted algorithm.Convergence adaptive algorithm operand is bigger fast, but can realize quick convergence property, makes self adaptation estimate to approach the contrary of WPA tap at short notice, thereby can make predistorter reach optimum Working fast.Even under the bigger situation of the characteristic value ratio of input signal correlation matrix, restrain adaptive algorithm fast and also should have fabulous performance.
B) in the adaptive process after predistortion filter reaches optimum state, the value of error signal is generally less, low to the convergence of algorithm rate request, more consideration reduces hard-wired complexity, should adopt LMS and relevant adaptive algorithm simply stably.It is slow that the convergence rate of steady convergence adaptive algorithm faster restrains adaptive algorithm, but for small prior uncertainty signal, it can either realize low computation complexity and higher convergence stability, help the realization of hardware platform again, because small correlation computations is simpler, its convergence rate also satisfies actual needs simultaneously.
(6) carry out the estimation of adaptive digital pre-distortion filter coefficient based on the RLS algorithm of training sequence.Formula (7) median filter coefficient C is linear, and K and Q respectively get a normal value; In order to improve convergence rate, calculate filter coefficient C apace.
Wherein, the estimation procedure of the filter coefficient RLS algorithm that is based on training sequence carries out the initial value that filter coefficient C Fast estimation obtains predistortion kernel filters coefficient.RLS algorithm based on training sequence is as follows:
A) initialization X=C=[0,0 ..., 0]
TWith
Wherein,
B) send the broadband training sequence and go probe power amplifier nonlinearity characteristic, what radio-frequency transmitter fed back to the digital pre-distortion synthesis unit is sampled as y (n), and y (n) is the output of wideband power amplifer;
C) accept new input sample and feedback sample to { x[n], f[n] }, simultaneously with input signal x[n] and feedback sample signal f[n] move on to the vectorial X[n of reference signal] and F[n], here
, and B[n] comprise the vector F [n] of all necessary nonlinearity products of input sample;
E) by following formula computer card Germania gain factor;
F) according to the contrary autocorrelation matrix of following formula renewal filter, p is a forgetting factor:
G) upgrade the predistortion filter coefficient according to following formula:
C[n]＝C[n-1]+k[n]e[n] (12)
H) repeating step b carries out estimation to the predistortion filter coefficient to g.
(7) based on the LMS algorithm filter coefficient C is upgraded.In case adaptive filter coefficient reaches optimum value, variation along with the time, the nonlinear distortion Yin Wendu of wideband power amplifer, the influence of factors such as device aging and changing, in order to address this problem, the renewal process of filter coefficient C is based on a kind of time-varying characteristics that hard-wired adaptive algorithm (LMS algorithm) is followed the tracks of non-linear power amplifier that are suitable for.The LMS algorithm is as follows:
A) the filter coefficient initialization C of employing formula (12);
B) accept the sampling of a pair of new input sample and feedback loop to { x[n], f[n] }, simultaneously with input signal x[n] and feedback sample signal f[n] move on to the vectorial X[n of reference signal] and F[n];
D) upgrade filter coefficient according to following formula, u is a convergence factor;
C[n+1]＝C[n]+ue[n]X[n] (13)
E) repeating step b carries out estimation to the predistortion filter coefficient to g.
Combine Fig. 2 above best applications example of the present invention has been made detailed description, but the present invention is not limited to this example, have flexibility, the basis for estimation that can select different parameters to select as algorithm such as the definition mode of error signal; The convergence adaptive algorithm is not limited to the RLS algorithm fast, can also be LRLS (Lattice Recursive Least-Square, lattice type recurrent least square method), FTRLS (Fast Transversal Recursive Least-Square, fast traversal recursion least square method) etc.; Equally, the simple steadily adaptive algorithm of convergence also is not limited to LMS, can also be DLMS (theDelayed LMS postpones the LMS algorithm), DCT-LMS (Discrete Cosine Transform LMS discrete cosine transform LMS algorithm) etc.
The above; only be the embodiment of the best of the present invention, but protection scope of the present invention is not limited thereto, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.
Claims (10)
1, a kind of system that realizes the self-adapted pre-distortion processing of broadband linear power amplifier, this system comprise pre-distortion unit, high-speed digital-analog converter DAC, up-conversion unit, wideband power amplifer WPA, down-converter unit, high speed analog-to-digital converter ADC, error signal decision unit, fast restrain the adaptive algorithm unit, steadily restrain the adaptive algorithm unit
Wherein said pre-distortion unit is used for the baseband signal of input is carried out predistortion filtering, baseband signal through predistortion filtering is input to described WPA behind DAC and up-conversion unit, the part signal in the output signal of described WPA feeds back to described error signal decision unit behind down-converter unit and ADC;
Described error signal decision unit is used for calculating the prior uncertainty signal according to described feedback signal and desired signal, and select the employed adaptive algorithm of pre-distortion unit according to the size of prior uncertainty signal, when the priori error signal is big, described error signal decision unit selects to connect described quick convergence adaptive algorithm unit, and this moment, pre-distortion unit was used convergence adaptive algorithm fast; When the priori error signal hour, described error signal decision unit selects to connect described steady convergence adaptive algorithm unit, this moment, pre-distortion unit was used steadily convergence adaptive algorithm;
Described desired signal is obtained through time-delay by the input baseband signal of pre-distortion unit, or described desired signal is the baseband signal of pre-distortion unit output.
2, system according to claim 1 is characterized in that, this system also comprises delay unit, is used for the input baseband signal of pre-distortion unit is delayed time to obtain described desired signal.
3, system according to claim 1 is characterized in that, described pre-distortion unit adopts nuclear model in the multinomial.
4, system according to claim 1, it is characterized in that described pre-distortion unit realizes as its hardware by FPGA, and according to the computational complexity of adaptive algorithm, select the expansion of dsp chip for use, to improve the performance and the flexibility of pre-distortion algorithms as hardware platform.
5, system according to claim 1, the sampling rate of described DAC unit reaches more than the 1000MPS, and interpolation filter, to satisfy the requirement of wideband baseband signal transmission.
6, system according to claim 1, quick convergence adaptive algorithm wherein are RLS algorithm or LRLS algorithm or FTRLS algorithm; Wherein steady convergence adaptive algorithm LMS algorithm or DLM algorithm or DCT-LMS algorithm.
7, a kind of adaptive pre-distortion method of broadband linear power amplifier, wherein Shu Ru baseband signal is after pre-distortion unit is handled, behind high-speed digital-analog converter DAC and up-conversion unit, be input to wideband power amplifer WPA again, part signal in the output signal of described WPA feeds back to the error signal decision unit behind down-converter unit and ADC, described error signal decision unit calculates the prior uncertainty signal, select suitable adaptive algorithm to carry out pre-distortion according to the value of prior uncertainty signal, concrete steps are as follows:
Step 1: the error signal decision unit calculates the prior uncertainty signal according to described feedback signal and desired signal, wherein desired signal is obtained through time-delay by the input baseband signal of pre-distortion unit, or described desired signal is the baseband signal of pre-distortion unit output;
Step 2: the error signal decision unit is selected to restrain adaptive algorithm fast or steadily restrain adaptive algorithm according to the size of prior uncertainty signal, if the prior uncertainty signal is bigger, then selects convergence adaptive algorithm fast; If the prior uncertainty signal is less, then select steadily convergence adaptive algorithm;
Step 3: pre-distortion unit is carried out predistortion filtering according to the quick convergence adaptive algorithm or the tap coefficient of steadily restraining the adaptive algorithm feedback.
8, adaptive pre-distortion method according to claim 7, wherein restraining adaptive algorithm fast is RLS algorithm or LRLS algorithm or FTRLS algorithm.
9, adaptive pre-distortion method according to claim 7, wherein steadily restraining adaptive algorithm is LMS algorithm or DLM algorithm or DCT-LMS algorithm.
10, adaptive pre-distortion method according to claim 7, the function that calculates the prior uncertainty signal in the step 1 is: e[n]=z[n]-C[n] B[n], e[n wherein] be the value of prior uncertainty signal, z[n] be the baseband signal of pre-distortion unit output, C[n] be the filter factor of pre-distortion unit, B[n] be described feedback signal.
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