CN102801670B - A kind of digital pre-distortion method and system - Google Patents
A kind of digital pre-distortion method and system Download PDFInfo
- Publication number
- CN102801670B CN102801670B CN201210111137.5A CN201210111137A CN102801670B CN 102801670 B CN102801670 B CN 102801670B CN 201210111137 A CN201210111137 A CN 201210111137A CN 102801670 B CN102801670 B CN 102801670B
- Authority
- CN
- China
- Prior art keywords
- digital
- signal
- distortion
- predistortion
- digital pre
- 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
Landscapes
- Amplifiers (AREA)
Abstract
The present invention relates to fields of communication technology, provide a kind of digital pre-distortion method, including, digital signal generator output digit signals, the roads digital signal A delay process before predistortion, the roads B enter digital pre-distortion pattern automatic identification module；Digital pre-distortion pattern automatic identification module controls digital pre-distortion block and selects optimal digital predistortion model, controls digital pre-distortion block handoff factor；Digital signal obtains digital signal after predistortion after digital pre-distortion block after the delay of the roads A, and generates digital feedback signal through coupler feedback sample；Digital signal and digital feedback signal are used to extract digital pre-distortion model after digital signal, predistortion before digital pre-distortion pattern automatic identification module acquisition predistortion；It repeats the above steps and is iterated, complete the processing of predistortion.The present invention also provides a kind of digital pre-distortion systems.Using the technical solution, interference of the intermodulation distortion to neighboring trace is reduced, ensures best signal adaptability and robustness.
Description
Technical field
The present invention relates to field of communication technology, particularly a kind of data pre-distortion method and system.
Background technology
As mobile communication rapidly develops, wireless communication frequency band becomes more and more crowded, and band resource is more and more nervous, is
Change this situation, accommodates more communication channels in limited spectral range, it is necessary to improve the frequency spectrum effect of existing frequency range
Rate, therefore the information transmission technology of Modern Communication System is just sent out towards multicarrier, more level, broadband and high peak-to-average power ratio direction
Exhibition.
With the reduction of channel width, the raising of the availability of frequency spectrum, accompanying problem is that the increase of out-of-band radiation, makes
Pairs of monkey chatter increases.Occur such case the main reason for be in many wireless communication systems, it is sufficiently high to provide
Output power and realization maximum output, power amplifier are usually operated in inelastic region or even are operated near saturation region, this
When power amplifier show very strong nonlinear characteristic.
In order to solve problems, digital pre-distortion technology is widely used to compensate the non-linear spy of power amplifier
Property.And conventional digital pre-distortion technology is to the signal of multicarrier, wide bandwidth, because of the adaptation for including fast-changing signal
Property is bad, it is difficult to reach best rectification effect.A large amount of improved digital pre-distortion technologies, with its good hardware complexity,
Stability and high efficiency become the power amplifier linearization technology of current mainstream.
Invention content
Present invention solves the technical problem that being the provision of a kind of digital pre-distortion method and system, to solve broadband number
The linearization problem that word signal predistortion high target requires.
To solve the above problems, the present invention provides a kind of digital pre-distortion methods, including,
Digital signal generator output digit signals, the roads digital signal A delay process before predistortion, the roads B enter digital pre-
Distortion model automatic identification module；
Digital pre-distortion pattern automatic identification module controls digital pre-distortion block and selects optimal digital predistortion model, control
Digital pre-distortion block handoff factor processed；
After digital signal obtains predistortion after the digital pre-distortion block with optimum pre-distortion model after the delay of the roads A
Digital signal, and generate digital feedback signal through coupler feedback sample；
Digital pre-distortion pattern automatic identification module acquires before predistortion digital signal and number after digital signal, predistortion
Feedback signal is for extracting digital pre-distortion model；
It repeats the above steps and is iterated, complete the processing of predistortion.
Further, the digital pre-distortion pattern automatic identification module control digital pre-distortion block selects optimal digital
Predistortion model, control digital pre-distortion block handoff factor specifically,
The digital pre-distortion pattern automatic identification module is according to the digital signal characteristic before the predistortion of the roads B, according to pattern
Sorting algorithm classifies to characteristics of signals, selects optimal digital predistortion model according to classification results, controls digital pre-distortion
Module handoff factor.
Further, described to classify to characteristics of signals according to pattern classification algorithm, it is selected according to classification results best
Digital pre-distortion model specifically,
The characteristics of signals include signal power distribution, signal peak power, average power, instantaneous power, signal bandwidth,
Memory effect size, the characteristic variations that signal is tracked using algorithm for pattern recognition classify to characteristics of signals, are tied according to classification
Fruit selects optimal digital predistortion model.
Further, digital signal obtains after the digital pre-distortion block with optimum pre-distortion model after the delay of the roads A
Digital signal after predistortion, and the sampling of coupled module feedback generates digital feedback signal；Specifically,
Digital signal is converted to analog signal by DAC module after predistortion, and ingoing power is put after up-converter module
Big device；
Forward simulation signal is returned by coupler from power amplifier output coupling, by attenuator and down coversion mould
Block is inputted to ADC module completes analog-to-digital conversion acquisition digital feedback signal.
Further, the extraction digital pre-distortion model uses LS, RLS or LMS algorithm
The present invention also provides a kind of digital pre-distortion systems, including,
Digital signal processing device, for generating digital signal, extracting digital pre-distortion model and generating digital pre-distortion
Signal specifically includes,
Digital signal generator, for generating digital signal, the roads digital signal A delay process before predistortion, the roads B enter number
Word predistorsion pattern automatic identification module；
Digital pre-distortion pattern automatic identification module acquires before predistortion after digital signal, predistortion digital signal and anti-
It presents digital signal and generates digital pre-distortion model, control digital pre-distortion block handoff factor；
Digital pre-distortion block, for extracting digital pre-distortion model and generating digital signal after predistortion, and will be described
Pre-distorted digital signal is sent to digital pre-distortion pattern automatic identification module and analog signal processing device；
Analog signal processing device obtains feedback link signal, and be sent to for being handled to digital signal preceding
Digital pre-distortion pattern automatic identification module.
In above system, the numerical distortions pattern automatic identification module includes,
Digital pre-distortion mode selecting unit selects best model for controlling digital pre-distortion block, it is pre- to control number
Distortion module handoff factor；
Digital pre-distortion pattern recognition unit is used for according to the digital signal characteristic before the predistortion of the roads B, according to pattern classification
Algorithm classifies to characteristics of signals, and optimal digital predistortion model is selected according to classification results
Digital pre-distortion schema extraction unit, for acquiring before predistortion after digital signal, predistortion digital signal and anti-
Feedback digital signal is for extracting digital pre-distortion model.
In above system, the analog signal processing device includes,
DAC module, for being converted into analog signal to digital signal by preceding；
Up-converter module, for analog signal intermediate frequency to be converted to radiofrequency signal；
Power amplifier, for the radiofrequency signal to be carried out power amplification；
LO modules, for generating local oscillation signal；
Coupler Module obtains feedback link signal for feedback sample；
Attenuator, the amplifier gain for removing feedback link signal；
Down conversion module is converted for feedback link signal from radio frequency to intermediate frequency；
ADC module is used for the analog-to-digital conversion of feedback link.
Using above-mentioned technical proposal, digital pre-distortion pattern automatic identification technology is used, power amplifier linearization is made to change
It is kind, interference of the intermodulation distortion to neighboring trace is reduced, ensures best signal adaptability and robustness；With traditional pre-distortion technology phase
Than not only increasing the adaptability of pre-distortion parameters, and predistortion is further improved on the basis of traditional predistortion
Stability and performance are more suitable for the digital pre-distortion processing of broadband signal and high performance index requirement.
Description of the drawings
Attached drawing described herein is used to provide further understanding of the present invention, and constitutes the part of the present invention, this hair
Bright illustrative embodiments and their description are not constituted improper limitations of the present invention for explaining the present invention.In the accompanying drawings：
Fig. 1 is first embodiment of the invention flow chart；
Fig. 2 is neural network category of model schematic diagram；
Fig. 3 is second embodiment of the invention structure chart；
Fig. 4 is numerical distortions pattern automatic identification function structure chart；
Fig. 5 is GSM multi-carrier signal tagsort flow charts.
Specific implementation mode
In order to keep technical problems, technical solutions and advantages to be solved clearer, clear, tie below
Drawings and examples are closed, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only
To explain the present invention, it is not intended to limit the present invention.
As described in Figure 1, it is first embodiment of the invention flow chart, provides a kind of digital pre-distortion method, including following
Step：
Step S101, digital signal generator output digit signals；
Step S102, the roads digital signal A delay process before predistortion, the roads B enter digital pre-distortion pattern automatic identification mould
Block；
Step S103, digital pre-distortion pattern automatic identification module control digital pre-distortion block selection optimal digital are lost in advance
True mode controls digital pre-distortion block handoff factor；
Specifically, according to the characteristics of signals before the predistortion of the roads B, classify to characteristics of signals according to pattern classification algorithm,
Optimal digital predistortion model is selected according to classification results, controls digital pre-distortion block handoff factor.
Here pattern classification mode can there are many mode, as signal power distribution, signal peak power, average power,
Instantaneous power, signal bandwidth, memory effect size etc. extract signal characteristic, and the characteristic that signal is tracked using algorithm for pattern recognition is become
Change classifies to characteristics of signals, selects optimal digital predistortion model.Here various ways reality can be used in pattern-recognition mode
It is existing.
Here by taking multidimensional nonlinear disaggregated model as an example, as shown in Fig. 2, being neural network category of model schematic diagram, signal
Pattern vector X be made of the feature of the signal extracted, will in characteristic vector unbalanced input sorter network pass through training classification
The disaggregated model needed, the decision function classified here can be there are many realization methods.
By taking GSM multi-carrier signals as an example, as shown in figure 5, being GSM multi-carrier signal tagsort flow charts, described pair of letter
Number feature carries out classification and specifically includes,
Step S501, by the signal power distribution of GSM multi-carrier signals in the way of histogram by stages cumulative points
Statistics, each section point value for then obtaining statistics is as the signal characteristic of extraction；
Step S502, using the vector of signal characteristic as in the input layer of neural network, neural network is using single hidden here
Layer structure is as shown in Figure 2；
Step S503 first carries out the training of network by neural network before starting pre-distortion, waits for that training reaches stable
The Classification and Identification that the output of network is fixed for system afterwards is handled；
Step S504 classifies to the signal characteristic of the extraction.
Digital signal obtains after the digital pre-distortion block with optimum pre-distortion model after the delay of the roads step S104, A
Pre-distorted signals are obtained, and digital feedback signal is generated through coupler feedback sample；
Specifically,
Pre-distorted signals are converted to analog signal by DAC, enter power amplifier after being then passed through up-converter module；
Forward simulation signal is returned by coupler from power amplifier output coupler, using attenuator, is then passed through
It crosses down conversion module and inputs completion analog-to-digital conversion acquisition digital feedback signal to ADC.
Step 105, number is believed after digital signal, predistortion before digital pre-distortion pattern automatic identification module acquisition predistortion
Number and feedback digital signal for extracting digital pre-distortion model；
Here LS, RLS, LMS algorithm can be used in model extraction.
Step 106, repeated several times iteration completes the processing of predistortion.
Using the above method, power amplifier linearization is made to improve, reduces interference of the intermodulation distortion to neighboring trace, ensure best
Signal adaptability and robustness.
As shown in figure 3, being second embodiment of the invention structure chart, a kind of digital pre-distortion system is provided, including：
Digital signal processing device, for generating digital signal, extracting digital pre-distortion model and generating digital pre-distortion
Signal specifically includes,
Digital signal generator, for generating digital signal, the roads digital signal A delay process before predistortion, the roads B enter number
Word predistorsion pattern automatic identification module；
Digital pre-distortion pattern automatic identification module acquires before predistortion after digital signal, predistortion digital signal and anti-
It presents digital signal and generates digital pre-distortion model, control digital pre-distortion block handoff factor；
As shown in figure 4, be numerical distortions pattern automatic identification function structure chart, the numerical distortions pattern automatic identification module
Including,
Digital pre-distortion mode selecting unit 401 selects best model, control number for controlling digital pre-distortion block
Predistortion module handoff factor；
Digital pre-distortion pattern recognition unit 402 is tracked for classifying to characteristics of signals using algorithm for pattern recognition
The characteristic variations of signal select optimal digital predistortion model；
Digital pre-distortion schema extraction unit 403, for acquire before predistortion after digital signal, predistortion digital signal and
Feedback digital signal is for extracting digital pre-distortion model.
Digital pre-distortion block, for extracting digital pre-distortion model and generating digital signal after predistortion, and will be described
Pre-distorted digital signal is sent to digital pre-distortion pattern automatic identification module and analog signal processing device；
Analog signal processing device obtains feedback link signal, and be sent to for being handled to digital signal preceding
Digital pre-distortion pattern automatic identification module.Including,
DAC module, for being converted into analog signal to digital signal by preceding；
Up-converter module, for analog signal intermediate frequency to be converted to radiofrequency signal；
Power amplifier, for the radiofrequency signal to be carried out power amplification；
LO modules, for generating local oscillator (Local Oscillator) signal；
Coupler Module obtains feedback link signal for feedback sample；
Attenuator, the amplifier gain for removing feedback link signal；
Down conversion module is converted for feedback link signal from radio frequency to intermediate frequency；
ADC module is used for the analog-to-digital conversion of feedback link；
The technical solution of the embodiment of the present invention is not limited to only believe TDS_CDMA signals, UMTS GSM multi-carrier signals
Number, LTE signals, WiMAX, LTE＆UMTS mix the broadband signals such as mould, predistortion effect is equally better than traditional pre-distortion technology.
The present invention is suitable for the broadband systems such as GSM, UMTS, LTE, WiMAX and TD-SCDMA single mode or bimodulus.The present invention is not limited to this
A little examples, or in which some aspects.
Above description has shown and described the preferred embodiment of the present invention, but as previously described, it should be understood that the present invention is not
It is confined to form disclosed herein, is not to be taken as excluding other embodiments, and can be used for various other combinations, modification
And environment, and can be carried out by the above teachings or related fields of technology or knowledge in the scope of the invention is set forth herein
Change.And changes and modifications made by those skilled in the art do not depart from the spirit and scope of the present invention, then it all should be in institute of the present invention
In attached scope of the claims.
Claims (5)
1. a kind of digital pre-distortion method, which is characterized in that including,
Digital signal generator output digit signals, the roads digital signal A delay process before predistortion, the roads B enter digital pre-distortion
Pattern automatic identification module；
Digital pre-distortion pattern automatic identification module controls digital pre-distortion block and selects optimal digital predistortion model, controls number
Word predistortion module handoff factor；
Digital signal obtains number after predistortion after the digital pre-distortion block with optimum pre-distortion model after the delay of the roads A
Signal, and generate digital feedback signal through coupler feedback sample；
Digital pre-distortion pattern automatic identification module acquires before predistortion digital signal and digital feedback after digital signal, predistortion
Signal is for extracting digital pre-distortion model；
It repeats the above steps and is iterated, complete the processing of predistortion；
The digital pre-distortion pattern automatic identification module control digital pre-distortion block selects optimal digital predistortion model, control
Digital pre-distortion block handoff factor processed is specially：Before the digital pre-distortion pattern automatic identification module is according to the roads B predistortion
Digital signal characteristic, classify to characteristics of signals according to pattern classification algorithm, according to classification results select optimal digital it is pre-
Distortion model controls digital pre-distortion block handoff factor；
It is described to classify to characteristics of signals according to pattern classification algorithm, select optimal digital predistortion model according to classification results
Specially：The characteristics of signals include signal power distribution, signal peak power, average power, instantaneous power, signal bandwidth,
Memory effect size, the characteristic variations that signal is tracked using algorithm for pattern recognition classify to characteristics of signals, are tied according to classification
Fruit selects optimal digital predistortion model.
2. according to the method described in claim 1, it is characterized in that, digital signal is passed through with optimum pre-distortion after the delay of the roads A
Digital signal after acquisition predistortion after the digital pre-distortion block of model, and the sampling of coupled module feedback generates digital feedback letter
Number；Specifically,
Digital signal is converted to analog signal by DAC module after predistortion, and power amplifier is entered after up-converter module；
Forward simulation signal is returned by coupler from power amplifier output coupling, is arrived by attenuator and down conversion module
ADC module input completes analog-to-digital conversion and obtains digital feedback signal.
3. according to the method described in claim 1, it is characterized in that, the extraction digital pre-distortion model using LS, RLS or
LMS algorithm.
4. a kind of digital pre-distortion system, which is characterized in that including,
Digital signal processing device, for generating digital signal, extracting digital pre-distortion model and generating digital predistortion signal,
It specifically includes,
Digital signal generator, for generating digital signal, the roads digital signal A delay process before predistortion, the roads B enter digital pre-
Distortion model automatic identification module；
Digital pre-distortion pattern automatic identification module acquires before predistortion digital signal and feedback coefficient after digital signal, predistortion
Word signal generates digital pre-distortion model, controls digital pre-distortion block handoff factor；
Digital pre-distortion block, for extracting digital pre-distortion model and generating digital signal after predistortion, and by the pre- mistake
Digital signal is sent to digital pre-distortion pattern automatic identification module and analog signal processing device after very；
Analog signal processing device obtains feedback link signal, and be sent to number for being handled to digital signal preceding
Predistorsion pattern automatic identification module；
The digital pre-distortion pattern automatic identification module includes digital pre-distortion mode selecting unit, digital pre- for controlling
Distortion module selects best model, controls digital pre-distortion block handoff factor；Digital pre-distortion pattern recognition unit is used for root
According to the digital signal characteristic before the predistortion of the roads B, classifies to characteristics of signals according to pattern classification algorithm, selected according to classification results
Select optimal digital predistortion model；Digital pre-distortion schema extraction unit, for acquiring before predistortion after digital signal, predistortion
Digital signal and feedback digital signal are for extracting digital pre-distortion model；
Wherein, the digital pre-distortion pattern recognition unit classifies to characteristics of signals according to pattern classification algorithm, according to point
Class result selection optimal digital predistortion model be specially：The characteristics of signals include signal power distribution, signal peak power,
Average power, instantaneous power, signal bandwidth, memory effect size track the characteristic variations pair of signal using algorithm for pattern recognition
Characteristics of signals is classified, and optimal digital predistortion model is selected according to classification results.
5. system according to claim 4, which is characterized in that the analog signal processing device includes,
DAC module, for being converted into analog signal to digital signal by preceding；
Up-converter module, for analog signal intermediate frequency to be converted to radiofrequency signal；
Power amplifier, for the radiofrequency signal to be carried out power amplification；
LO modules, for generating local oscillation signal；
Coupler Module obtains feedback link signal for feedback sample；
Attenuator, the amplifier gain for removing feedback link signal；
Down conversion module is converted for feedback link signal from radio frequency to intermediate frequency；
ADC module is used for the analog-to-digital conversion of feedback link.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210111137.5A CN102801670B (en) | 2012-04-16 | 2012-04-16 | A kind of digital pre-distortion method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210111137.5A CN102801670B (en) | 2012-04-16 | 2012-04-16 | A kind of digital pre-distortion method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102801670A CN102801670A (en) | 2012-11-28 |
| CN102801670B true CN102801670B (en) | 2018-07-24 |
Family
ID=47200637
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210111137.5A Active CN102801670B (en) | 2012-04-16 | 2012-04-16 | A kind of digital pre-distortion method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102801670B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015176263A1 (en) * | 2014-05-22 | 2015-11-26 | 华为技术有限公司 | Co-local oscillator circuit, emission system and method for determining correction coefficient of co-local oscillator circuit |
| CN114900244B (en) * | 2022-05-13 | 2023-07-04 | 中国电子科技集团公司第三十研究所 | Signal distortion control system based on open loop digital predistortion |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1453968A (en) * | 2002-04-23 | 2003-11-05 | 华为技术有限公司 | Method of raising efficiency of RF power amplifier based on base band digital predistortion technology |
| CN101330481A (en) * | 2007-06-19 | 2008-12-24 | 中兴通讯股份有限公司 | Predistortion model apparatus as well as apparatus, system and method for processing predistortion of signal |
| CN101789920A (en) * | 2009-12-29 | 2010-07-28 | 北京北方烽火科技有限公司 | Method and system for realizing self-adaptive predistortion power amplifier linearization |
| CN102082751A (en) * | 2009-11-27 | 2011-06-01 | 电子科技大学 | Neural network pre-distortion method based on improved MLBP (Levenberg-Marquardt back propagation) algorithm |
| CN102281221A (en) * | 2011-06-23 | 2011-12-14 | 中兴通讯股份有限公司 | Nonlinear systematic distortion correction device and method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100563225C (en) * | 2005-05-27 | 2009-11-25 | 华为技术有限公司 | Baseband digital signal is carried out the fexible unit of pre-distortion |
-
2012
- 2012-04-16 CN CN201210111137.5A patent/CN102801670B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1453968A (en) * | 2002-04-23 | 2003-11-05 | 华为技术有限公司 | Method of raising efficiency of RF power amplifier based on base band digital predistortion technology |
| CN101330481A (en) * | 2007-06-19 | 2008-12-24 | 中兴通讯股份有限公司 | Predistortion model apparatus as well as apparatus, system and method for processing predistortion of signal |
| CN102082751A (en) * | 2009-11-27 | 2011-06-01 | 电子科技大学 | Neural network pre-distortion method based on improved MLBP (Levenberg-Marquardt back propagation) algorithm |
| CN101789920A (en) * | 2009-12-29 | 2010-07-28 | 北京北方烽火科技有限公司 | Method and system for realizing self-adaptive predistortion power amplifier linearization |
| CN102281221A (en) * | 2011-06-23 | 2011-12-14 | 中兴通讯股份有限公司 | Nonlinear systematic distortion correction device and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102801670A (en) | 2012-11-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hu et al. | Convolutional neural network for behavioral modeling and predistortion of wideband power amplifiers | |
| CN102413085B (en) | Digital pre-distortion method and device | |
| CN105763495B (en) | digital predistortion method and device | |
| CN105656434B (en) | Power amplifier digital predistortion apparatus and method based on modification piecewise linear function | |
| CN107359864B (en) | Self-adaptive agile digital predistortion method for frequency agile power amplifier | |
| US9374112B2 (en) | Capture selection for digital pre-distortion adaptation and capture concatenation for frequency hopping pre-distortion adaptation | |
| CN107592083A (en) | The digital pre-distortion system and its method of millimeter wave broadband power amplifier | |
| CN102299878A (en) | Method and device for realizing multi-band digital predistortion (DPD) | |
| CN102938638B (en) | Cross coupling modeling method of concurrency multiband nonlinear system and linear device | |
| CN107395538A (en) | A kind of digital pre-distortion system and method for frequency selectivity harmonics restraint | |
| Hu et al. | Low-feedback sampling rate digital predistortion using deep neural network for wideband wireless transmitters | |
| CN104639481B (en) | A kind of multi-band signal processing method and equipment | |
| CN102801670B (en) | A kind of digital pre-distortion method and system | |
| Prata et al. | RF subsampling feedback loop technique for concurrent dual-band PA linearization | |
| CN105227507B (en) | Nonlinear systematic distortion correction device and method | |
| Jaraut et al. | Independent component analysis for multi-carrier transmission for 4G/5G power amplifiers | |
| CN104869091A (en) | Method and system for training digital predistortion coefficient | |
| CN106921600A (en) | The method of adjustment and device of a kind of predistortion model | |
| CN102769589B (en) | A kind of method and system improving digital pre-distortion performance | |
| Zhao et al. | A modified band-limited digital predistortion technique for broadband power amplifiers | |
| Zhao et al. | A novel two-dimensional crest factor reduction for performance improvement of RF power amplifiers | |
| Yin et al. | Directed graph navigated digital predistortion of mmWave power amplifiers for 6G hopping applications | |
| Yin et al. | Pattern recognition of RF power amplifier behaviors with multilayer perceptron | |
| Yu et al. | Dynamic Activation Digital Predistortion of RF Power Amplifiers for 6G Dynamic Spectrum Aggregation Applications | |
| CN106712728A (en) | Method for compensating power amplifier predistortion in satellite communication |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |