CN112953868B - Predistortion method, apparatus, computer device and readable storage medium - Google Patents
Predistortion method, apparatus, computer device and readable storage medium Download PDFInfo
- Publication number
- CN112953868B CN112953868B CN201911255391.0A CN201911255391A CN112953868B CN 112953868 B CN112953868 B CN 112953868B CN 201911255391 A CN201911255391 A CN 201911255391A CN 112953868 B CN112953868 B CN 112953868B
- Authority
- CN
- China
- Prior art keywords
- signal
- predistortion
- logarithm
- feedback
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/02—Transmitters
- H04B1/04—Circuits
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/02—Transmitters
- H04B1/04—Circuits
- H04B2001/0408—Circuits with power amplifiers
- H04B2001/0425—Circuits with power amplifiers with linearisation using predistortion
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/02—Transmitters
- H04B1/04—Circuits
- H04B2001/0408—Circuits with power amplifiers
- H04B2001/0433—Circuits with power amplifiers with linearisation using feedback
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/02—Transmitters
- H04B1/04—Circuits
- H04B2001/0408—Circuits with power amplifiers
- H04B2001/0441—Circuits with power amplifiers with linearisation using feed-forward
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Amplifiers (AREA)
- Transmitters (AREA)
Abstract
The application relates to a predistortion method, apparatus, computer device and readable storage medium. The method comprises the steps of obtaining predistortion parameters and communication signals; determining a predistortion signal based on a product of the communication signal and the predistortion parameter; processing the predistortion signal and then sending the predistortion signal to a transmitter to obtain a transmission signal; coupling feedback processing is carried out on the transmitting signal to obtain a feedback signal; converting both the communication signal and the feedback signal to a log domain, and determining a log distortion error signal according to a difference of the log communication signal and the log feedback signal; converting the predistortion parameters to a logarithmic domain, and determining logarithmically updated predistortion parameters according to a weighted sum of the logarithmic distortion error signal and the logarithmic predistortion parameters; and converting the logarithm updating predistortion parameters into a linear domain, and updating the predistortion parameters by using the linear updating predistortion parameters. The feedback loop stability of the predistortion method is high.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a predistortion method, apparatus, computer device, and readable storage medium.
Background
The development of the internet of things industry accelerates the development of low-speed wireless communication technology. The bandwidth of the low-speed wireless communication channel is narrow, the sensitivity to cost and power consumption is high, and meanwhile, high power and modulation efficiency are required. In the mainstream communication technology, the communication waveform has both amplitude modulation and phase modulation characteristics, so that the instantaneous power of the communication waveform can be rapidly changed along with time. The transmitter gain of the ideal linearity is constant, but in practice the gain of the transmitter circuit at high power is significantly reduced compared to the gain at low power, which deteriorates the quality of the communication waveform. To mitigate degradation in the quality of the communication waveform, the transmitter circuitry needs to be limited to operating in the low power mode only, but this in turn degrades the power efficiency of the transmitter. Therefore, the linearity and energy efficiency of the transmitter are restricted and cannot be obtained at the same time.
To solve this problem, a predistortion method is usually adopted, in which a feedback linearization technique is usually adopted to lock the amplitude and phase of the output of the transmitter to the amplitude and phase of the communication waveform in real time. In the conventional technology, a commonly used feedback linearization technology is a cartesian coordinate feedback technology, in which an output signal of a transmitter is fed back to the transmitter in real time and is subtracted from a communication waveform to obtain a distortion signal of the transmitter, the distortion signal of the transmitter is then sent to an integrator, and an output signal of the integrator is sent to the transmitter for transmission, so that a feedback loop can be formed.
However, such a predistortion method has a problem that the stability of the feedback loop is poor.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a predistortion method, apparatus, computer device and readable storage medium.
In order to achieve the above object, in one aspect, an embodiment of the present application provides a predistortion method, where the method includes:
acquiring predistortion parameters and communication signals, wherein the communication signals are obtained by an oversampling method;
determining a predistortion signal based on a product of the communication signal and the predistortion parameter;
performing compensation conversion processing on the predistortion signal to obtain a conversion signal, and sending the conversion signal to a transmitter;
receiving the signal processed by the transmitter to obtain a transmitting signal;
coupling feedback processing is carried out on the transmitting signal to obtain a feedback signal;
converting both the communication signal and the feedback signal to a logarithmic domain to obtain a logarithmic communication signal and a logarithmic feedback signal;
determining a log distortion error signal based on a difference between the log communication signal and the log feedback signal;
converting the predistortion parameters into a logarithmic domain to obtain logarithmic predistortion parameters;
determining a logarithm update predistortion parameter according to the weighted sum of the logarithm distortion error signal and the logarithm predistortion parameter;
and converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter, and updating the predistortion parameter by using the linear updating predistortion parameter.
In one embodiment, the performing compensation conversion processing on the predistortion signal to obtain a conversion signal, and sending the conversion signal to a transmitter includes:
performing linear pre-compensation processing on the pre-distortion signal to obtain a compensated pre-distortion signal;
and D/A conversion processing is carried out on the compensation predistortion signal to obtain the conversion signal.
In one embodiment, the performing coupled feedback processing on the transmission signal to obtain a feedback signal includes:
coupling processing is carried out on the transmitting signals to obtain coupling signals;
and performing feedback conversion processing on the coupling signal to obtain the feedback signal.
In one embodiment, the performing feedback conversion processing on the coupled signal to obtain the feedback signal includes:
performing down-conversion processing on the coupling signal to obtain a frequency conversion signal;
performing analog-to-digital conversion processing on the frequency conversion signal to obtain a frequency conversion digital signal;
and carrying out linear pre-compensation processing on the variable frequency digital signal to obtain the feedback signal.
In one embodiment, the determining a logarithmically updated predistortion parameter based on a weighted sum of the log distortion error signal and the log predistortion parameter comprises:
determining a logarithmically updated predistortion parameter using equation (1):
wherein p (n +1) is the updated predistortion parameter, r A To the amplitude convergence step, r Φ For the phase convergence step, A p(n) Is the amplitude, phi, of the predistortion parameter p(n) For the phase of said predistortion parameters, A d(n) For the amplitude, phi, of the communication signal d(n) Is the phase, Γ, of the communication signal A (. DEG) amplitude-to-amplitude distortion characteristic of said transmitter in the logarithmic domain, Γ Φ (. is) amplitude-to-phase and phase-to-phase distortion characteristics of the transmitter in the log domain.
In one embodiment, the method further comprises:
and acquiring the amplitude and the phase of the logarithm updating predistortion parameter, and analyzing the convergence characteristic of the logarithm updating predistortion parameter according to the amplitude and the phase of the logarithm updating predistortion parameter.
In one embodiment, the obtaining the magnitude and the phase of the logarithmically updated predistortion parameters includes:
obtaining the amplitude and phase of the logarithmically updated predistortion parameters through formula (2):
wherein A is p(n+1) Updating the amplitude, phi, of the predistortion parameter for said logarithm p(n+1) The phase of the predistortion parameter is updated for the logarithm.
On the other hand, an embodiment of the present application further provides a predistortion apparatus, where the apparatus includes:
the data acquisition module is used for acquiring predistortion parameters and communication signals, wherein the communication signals are obtained by an oversampling method;
a predistortion signal determination module for determining a predistortion signal based on a product of the communication signal and the predistortion parameter;
the conversion signal determining module is used for performing compensation conversion processing on the predistortion signal to obtain a conversion signal and sending the conversion signal to a transmitter;
the transmitting signal determining module is used for receiving the signal processed by the transmitter to obtain a transmitting signal;
the feedback signal determining module is used for performing coupling feedback processing on the transmitting signal to obtain a feedback signal;
the logarithm conversion module is used for converting the communication signal and the feedback signal into a logarithm domain to obtain a logarithm communication signal and a logarithm feedback signal;
a log distortion error signal determination module for determining a log distortion error signal based on a difference between the log communication signal and the log feedback signal;
the logarithm predistortion parameter determination module is used for converting the predistortion parameters into a logarithm domain to obtain logarithm predistortion parameters;
the logarithm updating predistortion parameter determination module is used for determining a logarithm updating predistortion parameter according to the weighted sum of the logarithm distortion error signal and the logarithm predistortion parameter;
and the predistortion parameter updating module is used for converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter and updating the predistortion parameter by using the linear updating predistortion parameter.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method as described above when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as set forth above.
According to the predistortion method, the predistortion device, the computer equipment and the readable storage medium, a communication signal and a predistortion parameter are obtained, and the communication signal and the predistortion parameter are multiplied to obtain a predistortion signal. And processing the predistortion signal and then sending the processed predistortion signal to a transmitter to obtain a transmitting signal. And coupling feedback processing is carried out on the transmitting signal to obtain a feedback signal. And converting the communication signal and the feedback signal into a logarithmic domain to obtain a logarithmic communication signal and a logarithmic feedback signal. A log distortion error signal is determined from a difference of the log communication signal and the log feedback signal. And converting the predistortion parameters into a logarithmic domain to obtain logarithmic predistortion parameters. And determining a logarithmically updated predistortion parameter according to the weighted sum of the log distortion error signal and the log predistortion parameter. And converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter, and updating the predistortion parameter by using the linear updating predistortion parameter. The predistortion method provided by the application converts the communication signal, the feedback signal and the predistortion parameter from a linear domain to a logarithmic domain for calculation, so that a feedback loop is converted from a two-dimensional loop to 2 one-dimensional loops, the convergence speed of the feedback loop can be improved, and the stability of the feedback loop can be improved. Meanwhile, the method provided by the application uses the communication signal as a reference signal for calculating the distortion error signal and also as a reference signal for calculating the predistortion signal, so that the waste of the effective working time of the transmitter can be avoided. And the predistortion method provided by the embodiment can be suitable for communication signals with larger bandwidth.
Drawings
Fig. 1 is a schematic application environment of a predistortion method according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating the steps of a predistortion method according to an embodiment of the present application;
fig. 3 is a schematic application environment of a predistortion method according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating the steps of a predistortion method according to an embodiment of the present application;
FIG. 5 is a flowchart illustrating the steps of a predistortion method according to an embodiment of the present application;
FIG. 6 is a flowchart illustrating the steps of a predistortion method according to an embodiment of the present application;
FIG. 7 is a flowchart illustrating the steps of a predistortion method according to an embodiment of the present application;
fig. 8 is a schematic diagram illustrating an amplitude convergence process of logarithmically updating predistortion parameters according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a predistortion apparatus according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, the predistortion method provided in the present application may be applied to a predistortion system. The predistortion system may comprise a predistortion feedback device and a transmitter. Wherein, as shown in fig. 1, the predistortion apparatus may comprise a predistortion device and a feedback loop. The predistortion device may comprise a multiplier, a transmit linear predistortion component, a digital-to-analog converter, and the like. The feedback loop may include a coupling component, a frequency conversion component, an analog-to-digital converter, a receive linearity pre-compensation component, a subtractor, an accumulator, and the like. And the communication signal and the predistortion parameter fed back by the feedback loop sequentially pass through the multiplier, the transmitting linear precompensation component and the digital-to-analog converter and then are input into the transmitter. And the signal part transmitted by the transmitter is processed by each component of the feedback loop and then returns to the multiplier, so that feedback linearization is realized.
The following describes the technical solutions of the present application and how to solve the technical problems with the technical solutions of the present application in detail with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Referring to fig. 2, an embodiment of the present application provides a predistortion method, which is applied to the predistortion system, specifically, applied to the predistortion feedback device for example, and includes:
s100, acquiring predistortion parameters and communication signals, wherein the communication signals are obtained by an oversampling method.
The communication signal is obtained by oversampling a signal which can be received by the transmitter during normal operation. The predistortion parameters are parameters required for performing predistortion processing on the communication signals. The oversampling method is a method of sampling a signal using a frequency greater than the nyquist sampling frequency. The communication signal is denoted as d (n) and the predistortion parameter is denoted as p (n).
And S200, determining a predistortion signal according to the product of the communication signal and the predistortion parameter.
The predistortion signal is a signal capable of canceling out the nonlinear characteristic of the signal transmitted by the transmitter. The predistortion device inputs the acquired communication signal d (n) and the predistortion parameter p (n) into the multiplier, and the product of the communication signal d (n) and the predistortion parameter p (n) is calculated through the multiplier to obtain the predistortion signal a (n). The predistortion signal a (n) may be denoted as a (n) ═ d (n) × p (n).
S300, performing compensation conversion processing on the predistortion signal to obtain a conversion signal, and sending the conversion signal to a transmitter.
The predistortion device may input the predistortion signal a (n) to the transmit linear predistortion component and the digital-to-analog converter, and after linear predistortion and digital-to-analog conversion, the conversion signal may be obtained, and the conversion signal may be represented as b (t). The predistortion device sends the converted signal b (t) to the transmitter for processing.
S400, receiving the signal processed by the transmitter to obtain a transmitting signal.
And the transmitter up-converts the received converted signal b (t) to a carrier frequency, amplifies the carrier frequency and sends the amplified signal to an antenna. The feedback loop is capable of receiving the transmission signal sent by the transmitter, which is denoted as s (t). The reflected signal s (t) only includes the non-linear distortion characteristic of a (n), which can be expressed as
Wherein A is b(t) For the amplitude of said converted signal, phi b(t) For the phase of said converted signal, Γ A (. DEG) amplitude-to-amplitude distortion characteristic of said transmitter in the logarithmic domain, Γ Φ (. is) amplitude-to-phase and phase-to-phase distortion characteristics of the transmitter in the log domain. The transmitter may be, but is not limited to, an up-conversion circuit, a power amplification circuit, a filtering circuit, and the like.
And S500, coupling feedback processing is carried out on the transmitting signal to obtain a feedback signal.
The feedback loop may input the received transmission signal s (t) into a coupling component, a frequency conversion component, an analog-to-digital conversion component, and the like, and may obtain the feedback signal after performing coupling, frequency conversion, analog-to-digital conversion, and the like, where the feedback signal is denoted as c (n).
S600, converting the communication signal and the feedback signal into a logarithmic domain to obtain a logarithmic communication signal and a logarithmic feedback signal.
The feedback loop converts the communication signal and the feedback signal into a logarithmic domain by logarithmically calculating the communication signal d (n) and the feedback signal c (n) obtained by sampling, so as to obtain the logarithmic communication signal and the logarithmic feedback signal. The logarithmic communication signal is denoted as ln (d (n) ═ ln (a) d(n) )+jΦ d(n) Wherein A is d(n) Representing the amplitude, phi, of said communication signal d(n) Representing the phase of the communication signal. The logarithmic feedback signal is expressed as:
wherein, A a(n) Is the amplitude of the pre-distorted signal, A p(n) Is the magnitude of the predistortion parameter, Φ p(n) Is the phase, Γ, of the predistortion parameter A Amplitude-to-amplitude distortion characteristics of the transmitter in the log domain. S700, determining a log distortion error signal according to the difference between the log communication signal and the log feedback signal.
The feedback loop inputs the logarithmic communication signal ln (d (n)) and the logarithmic feedback signal ln (c (n)) to a subtractor. Subtracting the logarithmic communication signal ln (d (n)) and the logarithmic feedback signal ln (c (n)) by the subtractor to obtain the logarithmic distortion error signal, which is expressed as ln (q (n)) ln (d (n)) to ln (c (n)) to ln (a)) and is expressed as (q (n)) to ln (d (n)) to ln (c (n)) to (a) to (d (n)) to (n) to (a) to (d) to (n) to (a) to (d (n)) to (n) to (d (n) to (d) to (n) to (b) to (b) to (b) P(n) )-Γ A (ln(A a(n) ))-jΦ p(n) -jΓ Φ (ln(A a(n) ),Φ a(n) )。
And S800, converting the predistortion parameters into a logarithmic domain to obtain logarithmic predistortion parameters.
The feedback loop may log the predistortion parameter p (n), and convert the predistortion parameter p (n) into a log domain to obtain the log predistortion parameter, where the log predistortion parameter is represented by ln (p (n) ═ ln (a)) p(n) )+jΦ p(n) 。
And S900, determining a logarithm update predistortion parameter according to the weighted sum of the logarithm distortion error signal and the logarithm predistortion parameter.
The feedback loop inputs the log distortion error signal ln (q (n)) and the log predistortion parameters ln (p (n)) to an accumulator. The accumulator weights and processes the log distortion error signal ln (q (n)) and the log predistortion parameter ln (p (n)), so as to obtain the log update predistortion parameter ln (p (n + 1)).
S910, converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter, and updating the predistortion parameter by using the linear updating predistortion parameter.
Since the predistortion parameter used in the calculation of the predistortion device is in a linear domain, the feedback loop needs to convert the logarithm update predistortion parameter into a linear domain to obtain the linear update predistortion parameter, and transmit the linear update predistortion parameter to the predistortion device. The predistortion device updates the predistortion parameters with the received linearly updated predistortion parameters. The predistortion device performs predistortion processing on the communication signal by using the updated predistortion parameters.
In a specific embodiment, if the communication signal d (n), the feedback signal c (n), and the predistortion parameter p (n) are calculated in a linear domain, a divider and an accumulator are required, as shown in fig. 3. The communication signal d (n) and the feedback signal c (n) are input into a divider, and the ratio of the communication signal d (n) to the feedback signal c (n) is calculated to obtain a distortion error signal q (n), which may be represented as q (n) ═ d (n)/c (n). Inputting the distortion error signal q (n) and the predistortion parameter p (n) into a multiplier, and calculating the product of the distortion error signal q (n) and the predistortion parameter p (n) to obtain an updated predistortion parameter p (n +1), where the updated predistortion parameter p (n +1) may be represented as
Wherein r is A ≥0，r A Denotes the amplitude convergence step, r Φ ≥0，r Φ Indicating the phase convergence step. And the predistortion equipment updates the predistortion parameters by using the updated predistortion parameters, and performs predistortion treatment on the communication signals by using the updated predistortion parameters. A suitable size r A And r Φ The convergence rate of the feedback loop can be increased, so that the user can select r according to actual requirements A And r Φ The present embodiment does not put any limitation on this.
The predistortion method, device, computer equipment and readable storage medium provided by the embodiment of the application. And obtaining a predistortion signal by obtaining a predistortion parameter and a communication signal and multiplying the communication signal by the predistortion parameter. And processing the predistortion signal and then sending the processed predistortion signal to a transmitter to obtain a transmitting signal. And coupling feedback processing is carried out on the transmitting signal to obtain a feedback signal. And converting the communication signal and the feedback signal into a logarithm domain to obtain a logarithm communication signal and a logarithm feedback signal. Determining a log distortion error signal based on a difference of the log communication signal and the log feedback signal. And converting the predistortion parameters into a logarithmic domain to obtain logarithmic predistortion parameters. And determining a logarithmically updated predistortion parameter according to the weighted sum of the log distortion error signal and the log predistortion parameter. And converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter, and updating the predistortion parameter by using the linear updating predistortion parameter. The predistortion method provided by the application converts the communication signal, the feedback signal and the predistortion parameter from a linear domain to a logarithmic domain for calculation, so that the feedback loop is converted from 1 two-dimensional loop to 2 one-dimensional loops, the convergence of the feedback loop can be improved, and the stability of the feedback loop can be improved. Meanwhile, the method provided by the embodiment uses the communication signal as a reference signal for calculating the distortion error signal and also as a reference signal for calculating the predistortion signal, so that the waste of the effective working time of the transmitter can be avoided. In addition, the predistortion method provided by this embodiment can be applied to communication signals with a larger bandwidth.
Referring to fig. 4, this embodiment relates to a possible implementation manner of performing compensation conversion on the predistortion signal to obtain a conversion signal, and sending the conversion signal to a transmitter, including:
s310, performing linear pre-compensation processing on the pre-distortion signal to obtain a compensated pre-distortion signal;
since the transmitter may introduce some linear impairments including, but not limited to, channel imbalance and carrier leakage, it is necessary to perform linear pre-compensation on the pre-distorted signal before the pre-distorted signal enters the transmitter. The predistortion device may input the predistortion signal into the transmit linear predistortion component, and the transmit linear predistortion component performs linear predistortion processing on the predistortion signal to output the compensated predistortion signal. This avoids that linear impairments have an influence on the transmit signal sent by the transmitter.
And S320, performing digital-to-analog conversion processing on the compensation predistortion signal to obtain the conversion signal.
Since the transmitter receives an analog signal and the predistortion compensation signal is a digital signal, the predistortion device inputs the received predistortion compensation signal to the digital-to-analog converter. The digital-to-analog converter interpolates the received compensated predistortion signal from a digital signal into a corresponding analog signal. The predistortion device receives the analog signal output by the digital-to-analog converter, and the analog signal is called the conversion signal.
Referring to fig. 5, this embodiment relates to a possible implementation manner of performing coupling feedback processing on the transmission signal to obtain a feedback signal, including:
s510, coupling processing is carried out on the transmitting signals to obtain coupling signals;
the feedback loop may input the transmission signal into the coupling component, and perform coupling processing on the transmission signal through the coupling component to obtain the coupling signal. The coupled signal contains the complete information of the transmitted signal except for amplitude. The coupling component may be, but is not limited to, a passive circuit, and the coupling component needs to have a high linearity.
And S520, performing feedback conversion processing on the coupling signal to obtain the feedback signal.
Specifically, the step of performing feedback conversion processing on the coupling signal to obtain the feedback signal is as shown in fig. 6, and includes:
s521, performing down-conversion processing on the coupled signal to obtain a variable-frequency signal;
the feedback loop may input the coupled signal to the frequency conversion component, and the frequency conversion component may down-convert the carrier frequency to an intermediate frequency to obtain the frequency converted signal. The frequency conversion assembly needs to have high linearity.
And S522, performing analog-to-digital conversion processing on the frequency conversion signal to obtain a frequency conversion digital signal.
Since the signal required for the subsequent processing is a digital signal, the frequency-converted signal needs to be converted into a digital signal. The feedback loop may input the frequency-converted signal to an analog-to-digital converter, and the analog-to-digital converter samples and quantizes the frequency-converted signal into a digital signal to obtain the frequency-converted digital signal.
And S523, performing linear pre-compensation processing on the variable frequency digital signal to obtain the feedback signal.
Since linear impairments may be present in the feedback loop, these linear impairments need to be dealt with. The feedback loop may input the frequency-converted digital signal to the receiving linear pre-compensation component, and pre-compensate the frequency-converted digital signal by the receiving linear pre-compensation component. This avoids linear impairment of the signal through the feedback loop.
In one embodiment, the determining a logarithmically updated predistortion parameter from a weighted sum of the log distortion error signal and the log predistortion parameter comprises:
determining a logarithmically updated predistortion parameter using equation (1):
wherein p (n +1) is the updated predistortion parameter, r A To the amplitude convergence step, r Φ For the phase convergence step, A p(n) Is the magnitude, Φ, of the predistortion parameter p(n) For the phase of said predistortion parameters, A d(n) For the amplitude, phi, of the communication signal d(n) Is the phase, Γ, of the communication signal A Amplitude of the transmitter in the logarithmic domainTo amplitude distortion characteristic, Γ Φ (. is) amplitude-to-phase and phase-to-phase distortion characteristics of the transmitter in the log domain.
The log update predistortion parameters are obtained by inputting the log distortion error signal and the log predistortion parameters into the accumulator, and the accumulator weights and processes the log distortion error signal and the log predistortion parameters.
Referring to fig. 7, in one embodiment, the method further includes:
s920, obtaining the amplitude and the phase of the logarithm updating predistortion parameter, and analyzing the convergence characteristic of the logarithm updating predistortion parameter according to the amplitude and the phase of the logarithm updating predistortion parameter.
In a specific embodiment, the magnitude and phase of the logarithmically updated predistortion parameters may be obtained by equation (2).
Wherein A is p(n+1) Updating the amplitude, phi, of the predistortion parameter for said logarithm p(n+1) The phase of the predistortion parameters is updated for the logarithm. Equation (2) shows a first order loop at-1<r A <1, the amplitude of the logarithmically updated predistortion parameter is constantly convergent, and the converged value is jittered around an ideal value under the influence of noise and errors. Because the plurality of sampling points correspond to the period of the communication signal only when the communication signal is obtained by an oversampling method, the amplitude between the adjacent sampling points of the communication signal is slowly changed. After the amplitude of the logarithmically updated predistortion parameter is converged constantly, the amplitude of the predistortion signal a (n) will also be slowly changed, and the amplitude of the predistortion signal a (n) can be considered to be approximately constant within a certain period of time. Therefore, during this time period, the phase of the logarithmically updated predistortion parameters can be simplified to
Wherein, gamma is Φ，(·) (. cndot.) represents the phase-to-phase distortion characteristics for a given power condition. The equation (2) and the simplified equation for the phase of the logarithmically updated predistortion parameter may represent the convergence process of the feedback loop, and it can be seen that the magnitude of the logarithmically updated predistortion parameter and the phase of the logarithmically updated predistortion parameter have similar convergence characteristics. When the transmitter is in a nonlinear condition, r is A When the signal amplitude is 1, the amplitude convergence process of the logarithmically updated predistortion parameter is as shown in fig. 8, in the figure, a dashed curve represents an ideal gain of the transmitter, a solid curve represents an actual gain of the transmitter, a point a represents a target output power, a point B represents an amplitude of the communication signal, a point C represents a convergence process of an amplitude of the feedback loop, and a point D represents a convergence process of an amplitude of the predistortion signal. As can be seen from the figure, the amplitude convergence of the logarithmically updated predistortion parameters has the characteristic of single-side approximation, so the feedback loop has high stability.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
Referring to fig. 9, an embodiment of the present application provides a predistortion apparatus 10. The predistortion apparatus includes: the apparatus comprises a data acquisition module 100, a predistortion signal determination module 200, a conversion signal determination module 300, a transmission signal determination module 400, a feedback signal determination module 500, a logarithmic conversion module 600, a logarithmic distortion error signal determination module 700, a logarithmic predistortion parameter determination module 800, a logarithmic update predistortion parameter determination module 900 and a predistortion parameter update module 910. Wherein the content of the first and second substances,
the data obtaining module 100 is configured to obtain a predistortion parameter and a communication signal, where the communication signal is obtained by an oversampling method.
The predistortion signal determination module 200 is configured to determine a predistortion signal according to a product of the communication signal and the predistortion parameter.
The converted signal determining module 300 is configured to perform compensation conversion processing on the predistortion signal to obtain a converted signal, and send the converted signal to a transmitter.
The transmitted signal determining module 400 is configured to receive the signal processed by the transmitter to obtain a transmitted signal.
The feedback signal determining module 500 is configured to perform coupling feedback processing on the transmitting signal to obtain a feedback signal.
The logarithm conversion module 600 is configured to convert both the communication signal and the feedback signal into a logarithm domain, so as to obtain a logarithm communication signal and a logarithm feedback signal.
The log distortion error signal determination module 700 is configured to determine a log distortion error signal based on a difference between the log communication signal and the log feedback signal.
The log predistortion parameter determining module 800 is configured to convert the predistortion parameter into a log domain to obtain a log predistortion parameter.
The log updated predistortion parameter determination module 900 is configured to determine a log updated predistortion parameter based on a weighted sum of the log distortion error signal and the log predistortion parameter.
The predistortion parameter updating module 910 is configured to convert the updated predistortion parameter into a linear domain to obtain a linear updated predistortion parameter, and update the predistortion parameter with the linear updated predistortion parameter.
In an embodiment, the converted signal determining module 300 is specifically configured to perform linear pre-compensation processing on the pre-distorted signal to obtain a compensated pre-distorted signal; and D/A conversion processing is carried out on the compensation predistortion signal to obtain the conversion signal.
In an embodiment, the feedback signal determining module 500 is specifically configured to perform coupling processing on the transmission signal to obtain a coupling signal; and performing feedback conversion processing on the coupling signal to obtain the feedback signal.
In an embodiment, the feedback signal determining module 500 is further specifically configured to perform down-conversion processing on the coupled signal to obtain a frequency-converted signal; performing analog-to-digital conversion processing on the frequency conversion signal to obtain a frequency conversion digital signal; and carrying out linear pre-compensation processing on the variable frequency digital signal to obtain the feedback signal.
In one embodiment, the logarithmically updated predistortion parameter determination module 900 is specifically configured to determine the logarithmically updated predistortion parameter using equation (1):
wherein p (n +1) is the updated predistortion parameter, r A To the amplitude convergence step, r Φ For the phase convergence step, A p(n) Is the amplitude, phi, of the predistortion parameter p(n) As the phase of the predistortion parameter, A d(n) For the amplitude, phi, of the communication signal d(n) Is the phase, Γ, of the communication signal A (. DEG) amplitude-to-amplitude distortion characteristic of said transmitter in the logarithmic domain, Γ Φ (. is) amplitude-to-phase and phase-to-phase distortion characteristics of the transmitter in the log domain.
Referring to fig. 9, the predistortion apparatus 10 according to an embodiment of the present application further includes a convergence characteristic analysis module 920. The convergence characteristic analysis module 920 is configured to obtain an amplitude and a phase of the logarithm update predistortion parameter, and analyze a convergence characteristic of the logarithm update predistortion parameter according to the amplitude and the phase of the logarithm update predistortion parameter.
In an embodiment, the convergence characteristic analysis module 920 is specifically configured to obtain the amplitude and the phase of the logarithmically updated predistortion parameter through formula (2):
wherein A is p(n+1) Updating the magnitude, Φ, of a predistortion parameter for said logarithm p(n+1) The phase of the predistortion parameter is updated for the logarithm.
For the specific definition of the predistortion apparatus 10, reference may be made to the above definition of the predistortion method, which is not described herein again. The various modules in the predistortion apparatus 10 described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Referring to fig. 10, in one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data such as predistortion parameters and communication signals. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a predistortion method.
Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the following steps when executing the computer program:
acquiring predistortion parameters and communication signals, wherein the communication signals are obtained by an oversampling method;
determining a predistortion signal according to the product of the communication signal and the predistortion parameter;
performing compensation conversion processing on the predistortion signal to obtain a conversion signal, and sending the conversion signal to a transmitter;
receiving the signal processed by the transmitter to obtain a transmitting signal;
coupling feedback processing is carried out on the transmitting signal to obtain a feedback signal;
converting both the communication signal and the feedback signal to a logarithmic domain to obtain a logarithmic communication signal and a logarithmic feedback signal;
determining a log distortion error signal based on a difference between the log communication signal and the log feedback signal;
converting the predistortion parameters into a logarithmic domain to obtain logarithmic predistortion parameters;
determining a logarithm update predistortion parameter according to the weighted sum of the logarithm distortion error signal and the logarithm predistortion parameter;
and converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter, and updating the predistortion parameter by using the linear updating predistortion parameter.
In one embodiment, the processor when executing the computer program further performs the steps of: performing linear pre-compensation processing on the pre-distortion signal to obtain a compensated pre-distortion signal; and D/A conversion processing is carried out on the compensation predistortion signal to obtain the conversion signal.
In one embodiment, the processor when executing the computer program further performs the steps of: coupling processing is carried out on the transmitting signals to obtain coupling signals; and performing feedback conversion processing on the coupling signal to obtain the feedback signal.
In one embodiment, the processor when executing the computer program further performs the steps of: performing down-conversion processing on the coupling signal to obtain a frequency conversion signal; performing analog-to-digital conversion processing on the frequency conversion signal to obtain a frequency conversion digital signal; and carrying out linear pre-compensation processing on the variable frequency digital signal to obtain the feedback signal.
In one embodiment, the processor when executing the computer program further performs the steps of: determining a logarithmically updated predistortion parameter using equation (1):
wherein p (n +1) is the updated predistortion parameter, r A To the amplitude convergence step, r Φ For the phase convergence step, A p(n) Is the amplitude, phi, of the predistortion parameter p(n) For the phase of said predistortion parameters, A d(n) For the amplitude, phi, of the communication signal d(n) Is the phase, Γ, of the communication signal A (. DEG) amplitude-to-amplitude distortion characteristic of said transmitter in the logarithmic domain, Γ Φ (. cndot.) is the amplitude-to-phase and phase-to-phase distortion characteristics of the transmitter in the logarithmic domain.
In one embodiment, the processor when executing the computer program further performs the steps of: and acquiring the amplitude and the phase of the logarithm updating predistortion parameter, and analyzing the convergence characteristic of the logarithm updating predistortion parameter according to the amplitude and the phase of the logarithm updating predistortion parameter.
In one embodiment, the processor when executing the computer program further performs the steps of: obtaining the amplitude and phase of the logarithmically updated predistortion parameters through formula (2):
wherein A is p(n+1) Updating the magnitude, Φ, of a predistortion parameter for said logarithm p(n+1) The phase of the predistortion parameter is updated for the logarithm.
The specific processes and advantageous effects of the steps of the above method implemented by the computer device processor provided in the above embodiments are similar to those of the corresponding method embodiments, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, performs the steps of:
acquiring predistortion parameters and communication signals, wherein the communication signals are obtained by an oversampling method;
determining a predistortion signal based on a product of the communication signal and the predistortion parameter;
performing compensation conversion processing on the predistortion signal to obtain a conversion signal, and sending the conversion signal to a transmitter;
receiving the signal processed by the transmitter to obtain a transmitting signal;
coupling feedback processing is carried out on the transmitting signal to obtain a feedback signal;
converting both the communication signal and the feedback signal to a logarithmic domain to obtain a logarithmic communication signal and a logarithmic feedback signal;
determining a log distortion error signal based on a difference between the log communication signal and the log feedback signal;
converting the predistortion parameters into a logarithmic domain to obtain logarithmic predistortion parameters;
determining a logarithmically updated predistortion parameter according to the weighted sum of the log distortion error signal and the log predistortion parameter;
and converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter, and updating the predistortion parameter by using the linear updating predistortion parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of: performing linear pre-compensation processing on the pre-distortion signal to obtain a compensated pre-distortion signal; and D/A conversion processing is carried out on the compensation predistortion signal to obtain the conversion signal.
In one embodiment, the computer program when executed by the processor further performs the steps of: coupling processing is carried out on the transmitting signals to obtain coupling signals; and performing feedback conversion processing on the coupling signal to obtain the feedback signal.
In one embodiment, the computer program when executed by the processor further performs the steps of: performing down-conversion processing on the coupling signal to obtain a variable-frequency signal; performing analog-to-digital conversion processing on the frequency conversion signal to obtain a frequency conversion digital signal; and carrying out linear pre-compensation processing on the variable frequency digital signal to obtain the feedback signal.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining a logarithmically updated predistortion parameter using equation (1):
wherein p (n +1) is the updated predistortion parameter, r A To the amplitude convergence step, r Φ For the phase convergence step, A p(n) Is the amplitude, phi, of the predistortion parameter p(n) For the phase of said predistortion parameters, A d(n) For the amplitude, phi, of the communication signal d(n) Is the phase, Γ, of the communication signal A (. DEG) amplitude-to-amplitude distortion characteristic of said transmitter in the logarithmic domain, Γ Φ (. cndot.) is the amplitude-to-phase and phase-to-phase distortion characteristics of the transmitter in the logarithmic domain.
In one embodiment, the computer program when executed by the processor further performs the steps of: and acquiring the amplitude and the phase of the logarithm updating predistortion parameter, and analyzing the convergence characteristic of the logarithm updating predistortion parameter according to the amplitude and the phase of the logarithm updating predistortion parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of: obtaining the amplitude and phase of the logarithmically updated predistortion parameters through formula (2):
wherein A is p(n+1) Updating the magnitude, Φ, of a predistortion parameter for said logarithm p(n+1) The phase of the predistortion parameters is updated for the logarithm.
The specific processes and advantageous effects of implementing the above method steps by the computer-readable storage medium provided by the above embodiments are similar to those of the corresponding method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), Rambus (Rambus) direct RAM (RDRAM), direct bused dynamic RAM (DRDRAM), and bused dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of predistortion, the method comprising:
acquiring predistortion parameters and communication signals, wherein the communication signals are obtained by an oversampling method;
determining a predistortion signal according to the product of the communication signal and the predistortion parameter;
performing compensation conversion processing on the predistortion signal to obtain a conversion signal, and sending the conversion signal to a transmitter so that the transmitter processes the conversion signal to obtain a transmission signal;
receiving the transmission signal sent by the transmitter;
coupling feedback processing is carried out on the transmitting signal to obtain a feedback signal;
converting both the communication signal and the feedback signal to a logarithmic domain to obtain a logarithmic communication signal and a logarithmic feedback signal;
determining a log distortion error signal based on a difference between the log communication signal and the log feedback signal;
converting the predistortion parameters into a logarithm domain to obtain logarithm predistortion parameters;
determining a logarithmically updated predistortion parameter according to the weighted sum of the log distortion error signal and the log predistortion parameter;
and converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter, and updating the predistortion parameter by using the linear updating predistortion parameter.
2. The method of claim 1, wherein performing a compensation transformation on the pre-distorted signal to obtain a transformed signal, and sending the transformed signal to a transmitter comprises:
performing linear pre-compensation processing on the pre-distortion signal to obtain a compensated pre-distortion signal;
and D/A conversion processing is carried out on the compensation predistortion signal to obtain the conversion signal.
3. The method of claim 1, wherein the performing coupled feedback processing on the transmit signal to obtain a feedback signal comprises:
coupling the transmitting signals to obtain coupled signals;
and performing feedback conversion processing on the coupling signal to obtain the feedback signal.
4. The method of claim 3, wherein performing the feedback conversion process on the coupled signal to obtain the feedback signal comprises:
performing down-conversion processing on the coupling signal to obtain a variable-frequency signal;
performing analog-to-digital conversion processing on the frequency conversion signal to obtain a frequency conversion digital signal;
and carrying out linear pre-compensation processing on the variable frequency digital signal to obtain the feedback signal.
5. The method of claim 1, wherein determining logarithmically updated predistortion parameters from a weighted sum of the logarithmically distorted error signal and the logarithmically predistorted parameters comprises:
determining a logarithmically updated predistortion parameter using equation (1):
wherein p (n +1) is the updated predistortion parameter, r A To the amplitude convergence step, r Φ For the phase convergence step, A p(n) Is the magnitude, Φ, of the predistortion parameter p(n) As the phase of the predistortion parameter, A d(n) For the amplitude, phi, of the communication signal d(n) Is the phase, Γ, of the communication signal A (. DEG) amplitude-to-amplitude distortion characteristic of said transmitter in the logarithmic domain, Γ Φ (. cndot.) is the amplitude-to-phase and phase-to-phase distortion characteristics of the transmitter in the logarithmic domain.
6. The method of claim 5, further comprising:
and acquiring the amplitude and the phase of the logarithm updating predistortion parameter, and analyzing the convergence characteristic of the logarithm updating predistortion parameter according to the amplitude and the phase of the logarithm updating predistortion parameter.
7. The method of claim 6, wherein obtaining the magnitude and phase of the logarithmically updated predistortion parameters comprises:
obtaining the amplitude and phase of the logarithmically updated predistortion parameters through formula (2):
wherein A is p(n+1) Updating the magnitude, Φ, of a predistortion parameter for said logarithm p(n+1) The phase of the predistortion parameters is updated for the logarithm.
8. A predistortion apparatus, characterized in that the apparatus comprises:
the data acquisition module is used for acquiring predistortion parameters and communication signals, wherein the communication signals are obtained by an oversampling method;
a predistortion signal determination module for determining a predistortion signal based on a product of the communication signal and the predistortion parameter;
the conversion signal determining module is used for performing compensation conversion processing on the predistortion signal to obtain a conversion signal and sending the conversion signal to a transmitter so that the transmitter processes the conversion signal to obtain a transmission signal;
a transmitting signal determining module, configured to receive the transmitting signal sent by the transmitter;
the feedback signal determining module is used for performing coupling feedback processing on the transmitting signal to obtain a feedback signal;
the logarithm conversion module is used for converting the communication signal and the feedback signal into a logarithm domain to obtain a logarithm communication signal and a logarithm feedback signal;
a log distortion error signal determination module for determining a log distortion error signal based on a difference between the log communication signal and the log feedback signal;
the logarithm predistortion parameter determination module is used for converting the predistortion parameters into a logarithm domain to obtain logarithm predistortion parameters;
the logarithm updating predistortion parameter determination module is used for determining a logarithm updating predistortion parameter according to the weighted sum of the logarithm distortion error signal and the logarithm predistortion parameter;
and the predistortion parameter updating module is used for converting the logarithm updating predistortion parameter into a linear domain to obtain a linear updating predistortion parameter and updating the predistortion parameter by using the linear updating predistortion parameter.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911255391.0A CN112953868B (en) | 2019-12-10 | 2019-12-10 | Predistortion method, apparatus, computer device and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911255391.0A CN112953868B (en) | 2019-12-10 | 2019-12-10 | Predistortion method, apparatus, computer device and readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112953868A CN112953868A (en) | 2021-06-11 |
| CN112953868B true CN112953868B (en) | 2022-09-09 |
Family
ID=76225296
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911255391.0A Active CN112953868B (en) | 2019-12-10 | 2019-12-10 | Predistortion method, apparatus, computer device and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112953868B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102143108A (en) * | 2011-03-17 | 2011-08-03 | 电子科技大学 | Improved self-adaption predistortion technology |
| CN106506417A (en) * | 2017-01-03 | 2017-03-15 | 电子科技大学 | A kind of digital pre-distortion system of narrowband feedback and method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SE519258C2 (en) * | 2000-11-24 | 2003-02-04 | Ericsson Telefon Ab L M | Transmitter |
| AU2014399359B2 (en) * | 2014-07-04 | 2018-12-06 | Ses S.A. | Methods, devices, and computer programs for compensating nonlinearities of a communication channel |
-
2019
- 2019-12-10 CN CN201911255391.0A patent/CN112953868B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102143108A (en) * | 2011-03-17 | 2011-08-03 | 电子科技大学 | Improved self-adaption predistortion technology |
| CN106506417A (en) * | 2017-01-03 | 2017-03-15 | 电子科技大学 | A kind of digital pre-distortion system of narrowband feedback and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112953868A (en) | 2021-06-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP1560329B1 (en) | Digital predistorter using power series model | |
| EP2709274B1 (en) | Amplifier circuit and wireless communication device | |
| JP3699602B2 (en) | Predistortion apparatus and method | |
| JP5432374B2 (en) | High efficiency transmitter for wireless communication | |
| US6771709B2 (en) | System and method for direct transmitter self-calibration | |
| JP4206090B2 (en) | Transmitter and transmission method | |
| FI105366B (en) | Linearization procedure and amplifier arrangement | |
| US8451055B2 (en) | Distortion compensating apparatus, transmitting apparatus, and distortion compensating method | |
| JP2004032609A (en) | Nonlinear distortion compensating circuit | |
| US20150214904A1 (en) | Distortion compensation apparatus and distortion compensation method | |
| US6756845B1 (en) | Method and system for compensating non-linearities and time-varying changes of a transfer function acting on an input signal | |
| JP2006261952A (en) | Distortion compensation device and distortion compensation coefficient updating method | |
| CN112953868B (en) | Predistortion method, apparatus, computer device and readable storage medium | |
| CN109565482B (en) | Transmitter and digital predistortion calibration method | |
| US8798197B2 (en) | Distortion compensation amplifier device and distortion compensation method | |
| JP5336134B2 (en) | Predistorter | |
| JP5299958B2 (en) | Predistorter | |
| JP5228723B2 (en) | Distortion compensation apparatus and method | |
| KR101464753B1 (en) | Method for extracting nonlinear model parameter of wideband signal using narrowband signal, apparatus and method for digital predistortering its using | |
| US8538349B2 (en) | Method and device for pre-distorting an exciter and predistortion exciter | |
| JP5238461B2 (en) | Predistorter | |
| CN112994809B (en) | Digital predistortion performance detection method and device, computer equipment and storage medium | |
| RU2782406C1 (en) | Method for compensation of non-linear distortions of high-frequency power amplifiers and device for its implementation | |
| WO2024084629A1 (en) | System for compensating the non-linear distortion introduced by a radio power amplifier based on harmonic analysis | |
| RU2786412C1 (en) | Method for compensating nonlinear distortions of high-frequency power amplifiers and a device for its implementation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |