CN112994809A - Digital predistortion performance detection method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a digital predistortion performance detection method, a digital predistortion performance detection device, computer equipment and a storage medium. The method comprises the steps of obtaining a baseband signal; determining a first envelope stagnation point time and a first envelope stagnation point value according to the baseband signal; carrying out predistortion processing on the baseband signal to obtain a predistortion signal; performing digital-to-analog 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; performing coupling conversion processing on the transmitting signal to obtain a complex feedback signal; obtaining a second envelope stagnation point time and a second envelope stagnation point value according to the complex feedback signal; determining an amount of distortion from the first envelope dwell point values and the second envelope dwell point values; and detecting the predistortion performance according to the distortion quantity. The digital predistortion performance detection method provided by the application has low complexity.
Description
Technical Field
The present application relates to the field of predistortion technologies, and in particular, to a digital predistortion performance detection method, apparatus, computer device, and storage medium.
Background
Digital predistortion techniques are an effective way to improve transmitter linearity. When the digital predistortion technology is implemented, firstly a training signal is transmitted to estimate the nonlinear characteristic of a transmitter, then a predistortion circuit is constructed in front of the transmitter, the nonlinear characteristic of the predistortion circuit is reciprocal to the nonlinear characteristic of the transmitter, and at the moment, the whole of the predistortion circuit connected in series with the transmitter is equivalent to an ideal transmitter. However, in practical circuits, variations in physical parameters, typically temperature and voltage, can cause drift changes in the transmitter's nonlinear characteristics. When the transmitter's non-linearity drifts to a certain extent, the predistortion performance of the digital predistortion technique will be significantly degraded, thereby deteriorating the quality of the transmitted waveform.
In the conventional technology, drift changes of physical parameters such as voltage, temperature and the like are observed in real time, when the drift change quantity exceeds a threshold value, the nonlinear characteristic of the transmitter is measured again, and predistortion parameters are updated, so that the monitoring precision is poor. Or usually, a specific signal is used as an observed quantity to observe changes of physical parameters such as voltage and temperature, so as to detect the predistortion performance, however, the digital predistortion performance detection method has a problem of complex calculation.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a digital predistortion performance detection method, apparatus, computer device and storage medium.
In order to achieve the above object, in one aspect, an embodiment of the present application provides a method, an apparatus, a computer device, and a storage medium for detecting digital predistortion performance, where the method includes:
acquiring a baseband signal, wherein the baseband signal is obtained by oversampling;
determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point moment;
determining a sampling point value corresponding to the first envelope stagnation point moment to obtain a first envelope stagnation point value;
carrying out predistortion processing on the baseband signal to obtain a predistortion signal;
performing digital-to-analog 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;
performing coupling conversion processing on the transmitting signal to obtain a complex feedback signal;
determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point moment;
determining a sampling point value corresponding to the second envelope stagnation point time to obtain a second envelope stagnation point value;
determining an amount of distortion from the first envelope dwell point values and the second envelope dwell point values;
and detecting the predistortion performance according to the distortion quantity.
In one embodiment, the determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point time includes:
acquiring a plurality of first digital sampling points of the baseband signal;
and determining the first envelope stagnation point moment according to the modulus values of the plurality of first digital sampling points based on a polynomial interpolation method.
In one embodiment, the determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point time includes:
acquiring a plurality of second digital sampling points of the complex feedback signal;
and determining the second envelope stagnation point moment according to the module values of the plurality of second digital sampling points based on a polynomial interpolation method.
In one embodiment, when the first and second envelope dwell point values are respectively a plurality of terms, the determining the amount of distortion from the first and second envelope dwell point values comprises:
determining a plurality of nonlinear observations according to the ratio of the plurality of second envelope stationary point sample point values and the plurality of first envelope stationary point sample values;
and determining the distortion quantity according to the nonlinear observed quantity based on a polynomial fitting method.
In one embodiment, the determining the distortion measure from the plurality of nonlinear observations comprises:
determining the amount of distortion using equation (1):
wherein,
and g is the distortion measure, k is the nonlinear order, N is the highest nonlinear order, and x is the first envelope stationary point sample value.
In one embodiment, the performing predistortion performance detection according to the distortion amount includes:
judging the predistortion performance according to the distortion amount;
if the predistortion performance does not meet the preset condition, updating the predistortion parameters according to the distortion amount to obtain updated predistortion parameters;
and carrying out predistortion treatment on the baseband signal by using the updated predistortion parameters.
In one embodiment, the performing coupling conversion processing on the transmission signal to obtain a complex feedback signal includes:
coupling the transmitting signals to obtain coupled signals;
performing down-conversion processing on the coupling signal to obtain a variable-frequency signal;
and performing analog-to-digital conversion processing on the frequency conversion signal to obtain a complex feedback signal.
On the other hand, an embodiment of the present application further provides a digital predistortion performance detection apparatus, where the apparatus includes:
the device comprises a baseband signal acquisition module, a signal processing module and a signal processing module, wherein the baseband signal acquisition module is used for acquiring a baseband signal, and the baseband signal is obtained by oversampling;
the first envelope stagnation point time determining module is used for determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point time;
the first envelope stationary point value determining module is used for determining a sample point value corresponding to the first envelope stationary point moment to obtain a first envelope stationary point value;
the predistortion signal determination module is used for carrying out predistortion processing on the baseband signal to obtain a predistortion signal;
the conversion signal determining module is used for carrying out digital-to-analog 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 conversion processing on the reflection signal to obtain a complex feedback signal;
the second envelope stagnation point time determining module is used for determining the envelope stagnation point of the complex feedback signal to obtain second envelope stagnation point time;
a second envelope stationary point value determining module, configured to determine a point value corresponding to the second envelope stationary point time to obtain a second envelope stationary point value;
a distortion amount determination module for determining a distortion amount from the first envelope dwell point values and the second envelope dwell point values;
and the predistortion performance detection module is used for carrying out predistortion performance detection according to the distortion quantity.
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 digital predistortion performance detection method and device, the computer equipment and the storage medium, the envelope stagnation point of the baseband signal is determined by obtaining the baseband signal, and the first envelope stagnation point moment is obtained. And obtaining a first envelope stagnation point value according to the sample point value corresponding to the first envelope stagnation point time. And carrying out pre-distortion processing and digital-to-analog conversion processing on the baseband signals and then sending the baseband signals to a transmitter. And carrying out coupling conversion processing on the transmitting signal sent by the transmitter to obtain a complex feedback signal. And determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point moment. And determining the second envelope stagnation point value according to the second envelope stagnation point time. And determining a distortion amount according to the first envelope stagnation point value and the second envelope stagnation point value, and detecting the predistortion performance according to the distortion amount. The method provided by this embodiment calculates the distortion amount according to the envelope stationary point sample values of the baseband signal and the complex feedback signal, and can avoid calculating the whole baseband signal and the complex feedback signal, thereby reducing the calculation complexity. In addition, the method provided by this embodiment detects predistortion performance by the distortion amount calculated by the envelope stationary point values of the baseband signal and the complex feedback signal, and can ensure that the nonlinear characteristic of the transmitter during detection is approximately constant, which is convenient for detection and estimation.
Drawings
Fig. 1 is a schematic application environment diagram of a digital predistortion performance detection method according to an embodiment of the present application;
fig. 2 is a flowchart illustrating steps of a digital predistortion performance detection method according to an embodiment of the present application;
fig. 3 is a flowchart illustrating steps of a digital predistortion performance detection method according to an embodiment of the present application;
fig. 4 is a flowchart illustrating steps of a digital predistortion performance detection method according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a relationship between first envelope dwell point values and second envelope dwell point values provided in one embodiment of the present application;
fig. 6 is a flowchart illustrating steps of a digital predistortion performance detection method according to an embodiment of the present application;
fig. 7 is a flowchart illustrating steps of a digital predistortion performance detection method according to an embodiment of the present application;
fig. 8 is a flowchart illustrating steps of a digital predistortion performance detection method according to an embodiment of the present application;
fig. 9 is a schematic diagram of an ideal linear transmitter characteristic structure according to an embodiment of the present application;
fig. 10 is a diagram illustrating a non-linear characteristic of a digital predistortion system according to an embodiment of the present application;
fig. 11 is a schematic diagram of a digital predistortion performance detection apparatus according to an embodiment of the present application;
fig. 12 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.
The digital predistortion performance detection method provided by the application can be applied to a digital predistortion system. The digital predistortion system may include a predistortion feedback device and a transmitter. As shown in fig. 1, the predistortion feedback device may include a predistortion component, an upper computer, and a feedback loop. The upper computer is used for providing predistortion parameters for the predistortion component; the predistortion component comprises a predistortion unit, a first stationing point detection unit, a digital-to-analog converter and the like, and is used for carrying out predistortion processing on a signal entering the transmitter; the feedback loop comprises a coupling unit, an analog-to-digital converter, a frequency conversion unit, a distortion quantity determination unit, a second stationing point detection unit and the like, and is used for processing the signal sent by the transmitter and feeding the signal back to the predistortion device. The upper computer can be computer equipment, and the computer equipment can be but not limited to industrial computer, notebook computer, smart phone, panel computer and portable wearable equipment etc..
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. 1, a digital predistortion performance detection method provided in an embodiment of the present application is described in the present embodiment by taking as an example that the digital predistortion performance detection method is applied to the digital predistortion system, and specifically, applied to the predistortion feedback device, and the method includes:
s100, obtaining a baseband signal, wherein the baseband signal is obtained through oversampling.
The baseband signal is a signal obtained by oversampling a communication signal that can be received by the transmitter during normal operation. The baseband signal may be a real baseband signal or a complex baseband signal. The oversampling approach is to sample the signal using a frequency greater than the nyquist sampling frequency. The predistortion component receives the baseband signal.
And S110, determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point moment.
The first envelope stagnation point time is a digital sampling point of the baseband signal corresponding to a point where the first derivative is zero in the baseband signal. If the baseband signal is a complex baseband signal, the first envelope stationing point time refers to a digital sampling point of the baseband signal corresponding to a point where a first derivative of an envelope of the baseband signal is zero. The envelope stagnation point is located between adjacent digital sampling points. And the first stationing point detection unit calculates the first envelope stationing point moment according to the digital sampling points. The embodiment does not set any limitation to the specific method for calculating the first network stagnation point time.
And S120, determining a sample point value corresponding to the first envelope stagnation point time to obtain a first envelope stagnation point value.
The first envelope sample value is a value of the baseband signal at the first envelope stagnation time. Calculating the first envelope stagnation point value according to the first envelope stagnation point time based on the baseband signal, and expressing the first envelope stagnation point value as p1(n) of (a). The present embodiment does not set any limit to the specific method of calculating the first envelope dwell point values.
And S130, carrying out predistortion treatment on the baseband signal to obtain a predistortion signal.
The upper computer can send the predistortion parameters to the predistortion component. And the predistortion component performs predistortion processing on the baseband signal according to the received predistortion parameters to obtain a predistortion signal. Specifically, the predistortion component may perform predistortion processing on the baseband signal through a predistortion unit, and the predistortion unit may be a predistortion circuit.
S140, performing digital-to-analog conversion processing on the predistortion signal to obtain a conversion signal, and sending the conversion signal to a transmitter.
Since the signal received by the transmitter is an analog signal and the predistortion signal is a digital signal, digital-to-analog conversion processing needs to be performed on the predistortion signal. The predistortion component can convert the predistortion signal into an analog signal through the digital-to-analog converter to obtain a conversion signal, and sends the conversion signal to the transmitter for processing.
S150, receiving the signal processed by the transmitter to obtain a transmitting signal.
And the transmitter carries out up-conversion processing on the received converted signal through an up-conversion processing component. And the transmitter amplifies the converted signal subjected to the up-conversion processing to obtain the transmitting signal and sends the transmitting signal to an antenna. The feedback loop is capable of receiving the transmit signal sent by the transmitter antenna. The transmitter may be, but is not limited to, an up-conversion circuit, a power amplification circuit, a filtering circuit, and the like.
And S160, carrying out coupling conversion processing on the transmitting signal to obtain a complex feedback signal.
And the feedback loop inputs the received transmitting signal into components such as a coupling unit, a frequency conversion unit, an analog-to-digital converter and the like, and the complex feedback signal is obtained after the processing such as coupling, frequency conversion, analog-to-digital conversion and the like is carried out.
And S170, determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point moment.
The second envelope stagnation point time is a digital sampling point of the complex feedback signal corresponding to a point where the first derivative of the envelope of the complex feedback signal is zero. The second stationing point detecting unit may calculate the second envelope stationing point time according to a digital sampling point of the complex feedback signal. The embodiment does not set any limit to the specific method for calculating the second envelope stagnation point time.
And S180, determining a sampling point value corresponding to the second envelope stagnation point time to obtain a second envelope stagnation point value.
And the second envelope stagnation point value is the value of the complex feedback signal at the second envelope stagnation point moment. Based on the complex feedback signal, calculating the second envelope stagnation point value according to the second envelope stagnation point time, and expressing the second envelope stagnation point value as p2(n) of (a). The present embodiment does not set any limit to the specific method of calculating the second envelope stagnation point value.
S190, determining a distortion amount according to the first and second envelope stationary point sample values;
the distortion amount determination unit may receive the first envelope stagnation point value of the first stagnation point detection unit and the second envelope stagnation point value of the second stagnation point detection unit. The distortion amount determining unit calculates the distortion amount according to the first envelope stationary sample point value and the second envelope sample point value, and uploads the distortion amount to the upper computer. The distortion amount may represent residual non-linear characteristics of the signal transmitted by the transmitter, that is, when physical parameters such as temperature and voltage are changed, the non-linear characteristics of the transmitted signal are distorted, and some residual non-linear characteristics are generated.
And S200, detecting the predistortion performance according to the distortion quantity.
The upper computer can detect the predistortion performance of the digital predistortion system according to the received distortion quantity, and judges whether the distortion quantity can influence the quality of a transmitting signal of the transmitter to judge the predistortion performance of the digital predistortion system. If the quality of the transmission signal is deteriorated by the distortion amount and exceeds the requirement of the digital pre-distortion system on the signal quality, the performance of the digital pre-distortion system is poor, and if the quality of the transmission signal is not deteriorated by the distortion amount and does not exceed the requirement of the digital pre-distortion system on the signal quality, the performance of the digital pre-distortion system is still kept in an optimal state.
According to the digital predistortion performance detection method and device, the computer equipment and the storage medium, the envelope stagnation point of the baseband signal is determined by obtaining the baseband signal, and the first envelope stagnation point moment is obtained. And obtaining a first envelope stagnation point value according to the first envelope stagnation point time. And carrying out pre-distortion processing and digital-to-analog conversion processing on the baseband signals and then sending the baseband signals to a transmitter. And carrying out coupling conversion processing on the transmitting signal sent by the transmitter to obtain a complex feedback signal. And determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point moment. And determining the second envelope stagnation point value according to the second envelope stagnation point time. And determining a distortion amount according to the first envelope stagnation point value and the second envelope stagnation point value, and detecting the predistortion performance according to the distortion amount. The method provided by this embodiment calculates the distortion amount according to the envelope stagnation time of the baseband signal and the complex feedback signal, and can avoid calculating the whole baseband signal and the complex feedback signal, thereby reducing the calculation complexity. In addition, the method provided by this embodiment detects the predistortion performance by the distortion amount calculated by the envelope stagnation sampling points of the baseband signal and the complex feedback signal, and can ensure that the nonlinear characteristic of the transmitter is approximately constant during detection, thereby facilitating detection and estimation. Meanwhile, the method provided by the embodiment adopts the communication signal received by the transmitter rather than a specific signal as the detection signal, so that the waste of the effective working time of the transmitter can be avoided, and the working efficiency is improved.
Referring to fig. 3, this embodiment relates to a possible implementation manner of determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point time, where S110 includes:
and S111, acquiring a plurality of first digital sampling points of the baseband signal.
And S112, determining the first envelope stagnation point moment according to the modulus values of the plurality of first digital sampling points based on a polynomial interpolation method.
The interpolation method, also called interpolation method, is to make a specific function with the same function values as the unknown function values at a plurality of points in a certain interval according to the function values of the unknown function to approximate the unknown function, and further calculate the approximate values of the unknown function at other points in the interval according to the specific function. The first digital sampling points are sampling points when the baseband signals are acquired. The modulus values of the plurality of first digital sampling points refer to the values of the baseband signal corresponding to the plurality of sampling points. According to the plurality of first digital sampling points, a first specific function approximate to the baseband signal can be made, and according to the digital sampling points corresponding to the first derivative of the first specific function, the first envelope stagnation point moment can be obtained. The first envelope stagnation point value may be calculated from the first envelope stagnation time and the modulus values of the first digital sampling points.
Referring to fig. 4, this embodiment relates to a possible implementation manner of determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point time, where S170 includes:
and S171, acquiring a plurality of second digital sampling points of the complex feedback signal.
And S172, determining the second envelope stagnation point moment according to the modulus values of the plurality of second digital sampling points based on a polynomial interpolation method.
The complex feedback signal after the conversion processing of the transmitting signal is a digital signal, and the second digital sampling point is a digital sampling point of the complex feedback signal. The modulus values of the second digital sampling points refer to values of the complex feedback signal corresponding to the second digital sampling points. Referring to the above embodiment, in the calculation process of the first envelope stagnation time, a second specific function similar to the complex feedback signal can be made according to the plurality of second digital sampling points, and the second envelope stagnation time can be obtained according to the digital sampling points corresponding to the first derivative of the second specific function. And calculating the second envelope stagnation point value according to the second envelope stagnation point moment and a plurality of second digital sampling point mode values.
The second envelope dwell dot value may be expressed as
Wherein,
an amplitude-to-amplitude distortion function corresponding to the amount of distortion,
and the distortion function is the amplitude to phase corresponding to the distortion quantity. Since the envelope variation of the first and second envelope dwell point values within the neighborhood is very small, the distortion characteristics of the amplitude-to-amplitude and amplitude-to-phase modulation of the distortion amount within the neighborhood of the first and second envelope dwell point values are approximately constant, enabling easy detection and estimation. And, the base band signalThe values of the number and the complex feedback signal in the neighborhood of the first and second envelope stagnation time change relatively slowly, which reduces the bandwidth requirement on the feedback loop. Meanwhile, the relationship between the first envelope stationary point sample point value and the second envelope stationary point sample point value is shown in fig. 5, and it can be seen from the figure that the first envelope stationary point sample point value and the second envelope stationary point sample point value do not need strict time alignment, and only one-to-one correspondence is ensured, so that a complex fractional time delay circuit can be avoided, and the complexity can be reduced.
Referring to fig. 6, this embodiment relates to a possible implementation manner of determining the distortion amount according to the first and second envelope dwell point values when the first and second envelope dwell point values are respectively a plurality of items, S190 includes:
and S191, determining a plurality of nonlinear observations according to the ratio of the plurality of second envelope stagnation point sample values and the plurality of first envelope stagnation point sample values.
And S192, determining the distortion quantity according to the polynomial nonlinear observed quantity based on a polynomial fitting method.
The polynomial fitting method is to use a polynomial expansion to fit all observation points in a small analysis area containing a plurality of analysis grid points to obtain an objective analysis field of observation data. The expansion coefficients are determined by a least squares fit. Determining a plurality of non-linear observations from ratios of a plurality of said second envelope dwell point values and a plurality of said first envelope dwell point values.
In one embodiment, determining the amount of distortion from the plurality of nonlinear observations comprises:
determining the amount of distortion using equation (1):
wherein,
and g is the distortion measure, k is the nonlinear order, N is the highest nonlinear order, and x is the first envelope stationary point sample value.
The number of terms of the multiple nonlinear observations is greater than the highest nonlinear order N. The distortion amount of the k-th order nonlinearity can be defined as η according to equation (1)k＝20log10(||g1/gk| the upper computer can be according to eta)kTo determine the predistortion performance of the digital predistortion system at present.
Referring to fig. 7, this embodiment relates to a possible implementation manner of performing predistortion performance detection according to the distortion amount, and S200 includes:
s210, judging the predistortion performance according to the distortion quantity;
the upper computer can calculate to obtain eta according to the distortion quantitykTo determine the predistortion performance of the digital predistortion system at present.
And S220, if the predistortion performance does not meet the preset condition, updating the predistortion parameter according to the distortion amount to obtain an updated predistortion parameter.
The preset condition is a design index or a standard protocol regarding the predistortion performance. If the predistortion performance does not meet the preset condition, namely the quality of the signal sent by the transmitter is deteriorated, the predistortion performance of the digital predistortion system is poor at present, so the predistortion parameters in the upper computer are updated by the distortion amount to obtain the updated predistortion parameters.
And S230, carrying out predistortion treatment on the baseband signal by using the updated predistortion parameters.
And the predistortion device carries out predistortion processing on the baseband signal again by utilizing the updated predistortion parameters so as to enable the performance of the digital predistortion system to be always maintained in an optimal state.
And S240, if the predistortion performance meets a preset condition, carrying out predistortion treatment on the baseband signal by using the predistortion parameters.
If the predistortion performance meets the preset condition, that is, the quality of the signal sent by the transmitter is not deteriorated, the predistortion performance of the current digital predistortion system is still kept optimal, and the predistortion parameter is continuously utilized to carry out predistortion processing on the baseband signal.
Referring to fig. 8, this embodiment relates to a possible implementation manner of performing coupling conversion processing on the transmission signal to obtain a feedback signal, and S160 includes:
and S161, coupling the transmitting signal to obtain a coupled signal.
The feedback loop may input the transmission signal into the coupling unit, and the coupling unit couples the transmission signal 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 S162, performing down-conversion processing on the coupling signal to obtain a frequency-conversion signal.
The feedback loop may input the coupled signal to the frequency conversion unit, and the frequency conversion unit may down-convert the coupled signal from a carrier frequency to an intermediate frequency to obtain the frequency-converted signal. The frequency conversion unit needs to have high linearity.
And S163, performing analog-to-digital conversion on the frequency conversion signal to obtain a complex feedback 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 complex feedback signal.
And when the digital predistortion system starts to work, the upper computer writes the predistortion parameters into the predistortion unit. At this time, the predistortion unit and the transmitter as a whole appearLinear transmitter characteristics are desired. As shown in fig. 9 and 10, where f (-) represents the nonlinear characteristic of the transmitter, and f-1Denotes the non-linear behavior of the predistortion unit. When physical parameters such as temperature and voltage drift and change, the nonlinear characteristic of the transmitter drifts.
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. 11, an embodiment of the present application provides a digital predistortion performance detection apparatus 10. The digital predistortion performance detection apparatus includes: a baseband signal acquisition module 100, a first envelope stagnation point time determination module 110, a first envelope stagnation point value determination module 120, a predistortion signal determination module 130, a conversion signal determination module 140, a transmission signal determination module 150, a complex feedback signal determination module 160, a second envelope stagnation point time determination module 170, a second envelope stagnation point value determination module 180, a distortion amount determination module 190 and a predistortion performance detection module 200. Wherein,
the baseband signal acquiring module 100 is configured to acquire a baseband signal, where the baseband signal is obtained by oversampling;
the first envelope stagnation point time determining module 110 is configured to determine an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point time;
the first envelope stationary point value determining module 120 is configured to determine a point value corresponding to the first envelope stationary point time to obtain a first envelope stationary point value;
the predistortion signal determining module 130 is configured to perform predistortion processing on the baseband signal to obtain a predistortion signal;
the converted signal determining module 140 is configured to perform digital-to-analog conversion on the predistortion signal to obtain a converted signal, and send the converted signal to a transmitter;
the transmitted signal determining module 150 is configured to receive the signal processed by the transmitter to obtain a transmitted signal;
the complex feedback signal determining module 160 is configured to perform coupling conversion processing on the reflected signal to obtain a complex feedback signal;
the second envelope stagnation point time determining module 170 is configured to determine an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point time;
the second envelope stagnation point sample point value determining module 180 is configured to determine a sample point value corresponding to the second envelope stagnation point time to obtain a second envelope stagnation point sample point value;
the distortion amount determination module 190 is configured to determine a distortion amount according to the first envelope dwell point value and the second envelope dwell point value;
the predistortion performance detection module 200 is configured to perform predistortion performance detection according to the distortion amount.
In one embodiment, the first envelope stagnation time determination module 110 is specifically configured to obtain a plurality of first digital sampling points of the baseband signal; and determining the first envelope stagnation point moment according to the modulus values of the plurality of first digital sampling points based on a polynomial interpolation method.
In an embodiment, the second envelope stagnation time determination module 170 is specifically configured to obtain a plurality of second digital sampling points of the complex feedback signal; and determining the second envelope stagnation point moment according to the module values of the plurality of second digital sampling points based on a polynomial interpolation method.
In one embodiment, when the first and second envelope stationary point values are respectively a plurality of terms, the distortion amount determination module 190 is specifically configured to determine a plurality of non-linear observations from ratios of the plurality of second envelope stationary point values and the plurality of first envelope stationary point values; and determining the distortion quantity according to the nonlinear observed quantity based on a polynomial fitting method.
In an embodiment, the distortion amount determining module 190 is specifically further configured to determine the distortion amount by using formula (1):
wherein,
and g is the distortion measure, k is the nonlinear order, N is the highest nonlinear order, and x is the first envelope stationary point sample value.
In an embodiment, the predistortion performance detection module 200 is specifically configured to determine the predistortion performance according to the distortion amount; if the predistortion performance does not meet the preset condition, updating the predistortion parameters according to the distortion amount to obtain updated predistortion parameters; and carrying out predistortion treatment on the baseband signal by using the updated predistortion parameters.
In an embodiment, the complex feedback signal determining module 160 is specifically configured to perform coupling processing on the transmission signal to obtain a coupled signal; performing down-conversion processing on the coupling signal to obtain a variable-frequency signal; and performing analog-to-digital conversion processing on the frequency conversion signal to obtain a complex feedback signal.
For specific limitations of the digital predistortion performance detection apparatus 10, reference may be made to the above limitations of the digital predistortion performance detection method, which are not described herein again. The various modules in the digital predistortion performance detection apparatus 10 may be implemented wholly or partially by software, hardware and a combination 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. 12, in one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. 12. 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 the base band signal and the pre-distorted signal, etc. 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 digital predistortion performance detection method.
Those skilled in the art will appreciate that the architecture shown in fig. 12 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 a baseband signal, wherein the baseband signal is obtained by oversampling;
determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point moment;
determining a sampling point value corresponding to the first envelope stagnation point moment to obtain a first envelope stagnation point value;
carrying out predistortion processing on the baseband signal to obtain a predistortion signal;
performing digital-to-analog 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;
performing coupling conversion processing on the transmitting signal to obtain a complex feedback signal;
determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point moment;
determining a sampling point value corresponding to the second envelope stagnation point time to obtain a second envelope stagnation point value;
determining an amount of distortion from the first envelope dwell point values and the second envelope dwell point values;
and detecting the predistortion performance according to the distortion quantity.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring a plurality of first digital sampling points of the baseband signal; and determining the first envelope stagnation point moment according to the modulus values of the plurality of first digital sampling points based on a polynomial interpolation method.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring a plurality of second digital sampling points of the complex feedback signal; and determining the second envelope stagnation point moment according to the module values of the plurality of second digital sampling points based on a polynomial interpolation method.
In one embodiment, the processor when executing the computer program further performs the steps of: determining a plurality of nonlinear observations according to the ratio of the plurality of second envelope stationary point sample point values and the plurality of first envelope stationary point sample values; and determining the distortion quantity according to the nonlinear observed quantity based on a polynomial fitting method.
In one embodiment, the processor when executing the computer program further performs the steps of: determining the amount of distortion using equation (1):
wherein,
and g is the distortion measure, k is the nonlinear order, N is the highest nonlinear order, and x is the first envelope stationary point sample value.
In one embodiment, the processor when executing the computer program further performs the steps of: judging the predistortion performance according to the distortion amount; if the predistortion performance does not meet the preset condition, updating the predistortion parameters according to the distortion amount to obtain updated predistortion parameters; and carrying out predistortion treatment on the baseband signal by using the updated predistortion parameters.
In one embodiment, the processor when executing the computer program further performs the steps of: coupling the transmitting signals to obtain coupled signals; performing down-conversion processing on the coupling signal to obtain a variable-frequency signal; and performing analog-to-digital conversion processing on the frequency conversion signal to obtain a complex feedback signal.
The specific processes and advantages of the above method steps 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, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a baseband signal, wherein the baseband signal is obtained by oversampling;
determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point moment;
determining a sampling point value corresponding to the first envelope stagnation point moment to obtain a first envelope stagnation point value;
carrying out predistortion processing on the baseband signal to obtain a predistortion signal;
performing digital-to-analog 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;
performing coupling conversion processing on the transmitting signal to obtain a complex feedback signal;
determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point moment;
determining a sampling point value corresponding to the second envelope stagnation point time to obtain a second envelope stagnation point value;
determining an amount of distortion from the first envelope dwell point values and the second envelope dwell point values;
and detecting the predistortion performance according to the distortion quantity.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a plurality of first digital sampling points of the baseband signal; and determining the first envelope stagnation point moment according to the modulus values of the plurality of first digital sampling points based on a polynomial interpolation method.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a plurality of second digital sampling points of the complex feedback signal; and determining the second envelope stagnation point moment according to the module values of the plurality of second digital sampling points based on a polynomial interpolation method.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining a plurality of nonlinear observations according to the ratio of the plurality of second envelope stationary point sample point values and the plurality of first envelope stationary point sample values; and determining the distortion quantity according to the nonlinear observed quantity based on a polynomial fitting method.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the amount of distortion using equation (1):
wherein,
and g is the distortion measure, k is the nonlinear order, N is the highest nonlinear order, and x is the first envelope stagnation point sample value.
In one embodiment, the computer program when executed by the processor further performs the steps of: judging the predistortion performance according to the distortion amount; if the predistortion performance does not meet the preset condition, updating the predistortion parameters according to the distortion amount to obtain updated predistortion parameters; and carrying out predistortion treatment on the baseband signal by using the updated predistortion parameters.
In one embodiment, the computer program when executed by the processor further performs the steps of: coupling the transmitting signals to obtain coupled signals; performing down-conversion processing on the coupling signal to obtain a variable-frequency signal; and performing analog-to-digital conversion processing on the frequency conversion signal to obtain a complex feedback signal.
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 may include non-volatile and/or volatile memory, among others. 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 DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus 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 for detecting digital predistortion performance, the method comprising:
acquiring a baseband signal, wherein the baseband signal is obtained by oversampling;
determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point moment;
determining a sampling point value corresponding to the first envelope stagnation point moment to obtain a first envelope stagnation point value;
carrying out predistortion processing on the baseband signal to obtain a predistortion signal;
performing digital-to-analog 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;
performing coupling conversion processing on the transmitting signal to obtain a complex feedback signal;
determining an envelope stagnation point of the complex feedback signal to obtain a second envelope stagnation point moment;
determining a sampling point value corresponding to the second envelope stagnation point time to obtain a second envelope stagnation point value;
determining an amount of distortion from the first envelope dwell point values and the second envelope dwell point values;
and detecting the predistortion performance according to the distortion quantity.
2. The method of claim 1, wherein determining an envelope stagnation point of the baseband signal resulting in a first envelope stagnation point time comprises:
acquiring a plurality of first digital sampling points of the baseband signal;
and determining the first envelope stagnation point moment according to the modulus values of the plurality of first digital sampling points based on a polynomial interpolation method.
3. The method of claim 1, wherein determining an envelope stagnation point of the complex feedback signal, resulting in a second envelope stagnation point time, comprises:
acquiring a plurality of second digital sampling points of the complex feedback signal;
and determining the second envelope stagnation point moment according to the module values of the plurality of second digital sampling points based on a polynomial interpolation method.
4. The method of claim 1 wherein determining an amount of distortion from the first and second envelope dwell point values when the first and second envelope dwell point values are a plurality of terms, respectively, comprises:
determining a plurality of nonlinear observations according to the ratio of the plurality of second envelope stationary point sample point values and the plurality of first envelope stationary point sample values;
and determining the distortion quantity according to the nonlinear observed quantity based on a polynomial fitting method.
5. The method of claim 4, wherein said determining the distortion measure from the plurality of nonlinear observations comprises:
determining the amount of distortion using equation (1):
wherein,
and g is the distortion measure, k is the nonlinear order, N is the highest nonlinear order, and x is the first envelope stationary point sample value.
6. The method of claim 1, wherein the performing predistortion performance detection based on the distortion amount comprises:
judging the predistortion performance according to the distortion amount;
if the predistortion performance does not meet the preset condition, updating the predistortion parameters according to the distortion amount to obtain updated predistortion parameters;
and carrying out predistortion treatment on the baseband signal by using the updated predistortion parameters.
7. The method of claim 1, wherein the performing coupling transformation processing on the transmit signal to obtain a complex feedback signal comprises:
coupling the transmitting signals to obtain coupled signals;
performing down-conversion processing on the coupling signal to obtain a variable-frequency signal;
and performing analog-to-digital conversion processing on the frequency conversion signal to obtain a complex feedback signal.
8. An apparatus for detecting digital predistortion performance, the apparatus comprising:
the device comprises a baseband signal acquisition module, a signal processing module and a signal processing module, wherein the baseband signal acquisition module is used for acquiring a baseband signal, and the baseband signal is obtained by oversampling;
the first envelope stagnation point time determining module is used for determining an envelope stagnation point of the baseband signal to obtain a first envelope stagnation point time;
the first envelope stationary point value determining module is used for determining a sample point value corresponding to the first envelope stationary point moment to obtain a first envelope stationary point value;
the predistortion signal determination module is used for carrying out predistortion processing on the baseband signal to obtain a predistortion signal;
the conversion signal determining module is used for carrying out digital-to-analog 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 complex feedback signal determining module is used for performing coupling conversion processing on the reflection signal to obtain a complex feedback signal;
the second envelope stagnation point time determining module is used for determining the envelope stagnation point of the complex feedback signal to obtain second envelope stagnation point time;
a second envelope stationary point value determining module, configured to determine a point value corresponding to the second envelope stationary point time to obtain a second envelope stationary point value;
a distortion amount determination module for determining a distortion amount from the first envelope dwell point values and the second envelope dwell point values;
and the predistortion performance detection module is used for carrying out predistortion performance detection according to the distortion quantity.
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 of any one of claims 1 to 7.
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