CN112838996B - Digital predistortion coefficient updating method, device, communication equipment and storage medium - Google Patents
Digital predistortion coefficient updating method, device, communication equipment and storage medium Download PDFInfo
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Abstract
The application relates to a digital predistortion coefficient updating method, a device, a communication device and a storage medium. The method comprises the following steps: determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state; if the update state of the predistortion coefficient is the non-update state, generating a non-update identifier, and counting the total accumulated number of the identifier of the non-update identifier; when the accumulated total number of the identifiers is above a preset accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power; and updating the digital predistortion coefficient according to the adjusted symbol power. The method can improve the stability of the power amplifier.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for updating a digital predistortion coefficient, a communication device, and a storage medium.
Background
A power amplifier for transmitting an analog signal is the most power consuming part in the LTE communication system, and the non-linear characteristic of a high power transmitter spreads a signal spectrum, affecting communication performance of an adjacent channel, so that it is required to improve efficiency of the transmitter and reduce the signal spectrum spread of the transmitter.
For the nonlinear characteristic of a high-power transmitter, a commonly used scheme at present is predistortion, wherein a signal entering the high-power transmitter is subjected to predistortion treatment opposite to the nonlinear characteristic of a power amplifier in advance to compensate the nonlinear characteristic of the power amplifier. The power sudden change phenomenon exists in different symbols of an LTE communication system under different service load rates, wherein the symbol of low service load enables a power amplifier to work in a linear interval, the symbol of high service load enables the power amplifier to work in a nonlinear interval, and the predistortion coefficient can be updated only when a predistortion circuit collects the symbol of high service load, so that the linearization of the power amplifier is kept.
However, when the base station is in a low traffic load state for a long time, since the predistortion coefficients are not updated for a long time, the stored predistortion coefficients and the state of the power amplifier are not matched, and the stability of the power amplifier is easily affected.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a digital predistortion coefficient updating method, apparatus, communication device and storage medium capable of improving the stability of a power amplifier.
A method of digital predistortion coefficient update, the method comprising:
determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state;
if the update state of the predistortion coefficient is the non-update state, generating a non-update identifier, and counting the total accumulated number of the identifier of the non-update identifier;
when the accumulated total number of the identifiers is above a preset accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power;
and updating the digital predistortion coefficient according to the adjusted symbol power.
In one embodiment, the method further comprises:
acquiring a power amplifier feedback signal of the symbol according to the predistortion sampling period;
obtaining a linearization index of the power amplifier according to the feedback signal of the power amplifier;
and when the linearized index is above a preset index threshold and/or the accumulated total number of the identifiers is above the accumulated threshold, adjusting the power of the symbol.
In one embodiment, the obtaining a linearization indicator of a power amplifier according to the power amplifier feedback signal includes:
performing Fourier transform on the power amplifier feedback signal to obtain a frequency domain signal of the power amplifier feedback signal;
according to the frequency domain signal, counting out-of-band signal power of the feedback signal of the power amplifier;
and obtaining the linearization index according to the out-of-band signal power.
In one embodiment, the obtaining the linearization indicator according to the out-of-band signal power includes:
obtaining the linearization index by averaging the power of a plurality of out-of-band signals;
or the like, or, alternatively,
obtaining the linearization index according to the out-of-band signal power and the in-band signal power corresponding to the out-of-band signal power;
or the like, or, alternatively,
and carrying out weighted average on the power of the out-of-band signals to obtain the linearization index.
In one embodiment, the predistortion coefficient update state further comprises an updated state; the method further comprises the following steps:
if the update state of the predistortion coefficient is the updated state, the adjusted identification cumulative total is obtained by resetting the identification cumulative total, or halving the identification cumulative total, or reducing the identification cumulative total according to a preset step length;
and if the adjusted total number of the identifications is less than zero, obtaining that the new total number of the identifications is zero.
In one embodiment, the determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period includes:
acquiring the power of the symbol according to the predistortion sampling period;
judging whether the power is above a preset power threshold;
if the power is not above the power threshold, determining that the symbol is in the non-updated state;
if the power is above the power threshold, judging that the symbol is in the updated state, and acquiring a downlink signal of the symbol and a feedback signal of a power amplifier;
and updating the predistortion coefficient according to the downlink signal and the feedback signal of the power amplifier.
In one embodiment, the adjusting the power of the symbol when the accumulated total number of identifiers is above a preset accumulation threshold includes:
when the accumulated total number of the identifiers of the ith predistortion sampling period is above the accumulated threshold, adjusting the resource scheduling parameter of the (i + 1) th predistortion sampling period from the original value to a target value so as to adjust the power of the symbol according to the target value;
and restoring the resource scheduling parameter of the (i + 2) th predistortion sampling period from the target value to the original value so as to stop adjusting the power of the symbol.
An apparatus for updating digital predistortion coefficients, the apparatus comprising:
the state determining module is used for determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state;
an un-updated processing module, configured to generate an un-updated flag if the update state of the predistortion coefficient is the un-updated state, and count a cumulative total of the flags of the un-updated flag;
the power adjusting module is used for adjusting the power of the symbol when the accumulated total number of the identifiers is above a preset accumulated threshold to obtain the adjusted symbol power;
and the predistortion coefficient updating module is used for updating the digital predistortion coefficient according to the adjusted symbol power.
A communication device comprising a memory and a processor, the memory storing a computer program, the processor when executing the computer program implementing the steps of:
determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state;
if the update state of the predistortion coefficient is the non-update state, generating a non-update identifier, and counting the total accumulated number of the identifier of the non-update identifier;
when the accumulated total number of the identifiers is above a preset accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power;
and updating the digital predistortion coefficient according to the adjusted symbol power.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state;
if the update state of the predistortion coefficient is the non-update state, generating a non-update identifier, and counting the total accumulated number of the identifier of the non-update identifier;
when the accumulated total number of the identifiers is above a preset accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power;
and updating the digital predistortion coefficient according to the adjusted symbol power.
The digital predistortion coefficient updating method, the device, the communication equipment and the storage medium can obtain the updating condition of the predistortion coefficient corresponding to the predistortion sampling period by determining the predistortion coefficient updating state of the symbol according to the predistortion sampling period, if the predistortion coefficient updating state is not updated, the un-updated identification is generated and the accumulated total number of the identification of the un-updated identification is counted, the obtained accumulated total number of the identification can reflect the density of the un-updated predistortion coefficient in a plurality of predistortion sampling periods within a history period of time, when the accumulated total number of the identification is above the preset accumulated threshold, the power of the symbol is adjusted, when the density of the un-updated predistortion coefficient reaches a certain degree, the power of the symbol can be adjusted, the predistortion coefficient can be updated according to the adjusted power, and the phenomenon that the predistortion coefficient is not matched with the power amplifier state due to the un-updated predistortion coefficient for a long time is avoided, thereby improving the stability of the power amplifier.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a digital predistortion coefficient update method;
FIG. 2 is a flowchart illustrating a digital predistortion coefficient updating method according to an embodiment;
FIG. 3 is a diagram of an apparatus for updating digital predistortion coefficients in one embodiment;
FIG. 4 is a flowchart illustrating a digital predistortion coefficient updating method in another embodiment;
FIG. 5 is a block diagram showing an example of an apparatus for updating digital predistortion coefficients;
fig. 6 is an internal configuration diagram of a communication device in one embodiment.
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 coefficient updating method provided by the application can be applied to the application environment as shown in fig. 1. Wherein the terminal 102 communicates with the base station 104 through a network. The terminal 102 may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices, and the base station 104 may be, but is not limited to, various macro base stations, micro base stations, pico base stations, and distributed base stations.
In one embodiment, as shown in fig. 2, a method for updating a digital predistortion coefficient is provided, which is illustrated by applying the method to the base station 104 in fig. 1, and includes the following steps:
step S210, according to the predistortion sampling period, determining the predistortion coefficient updating state of the symbol.
The predistortion sampling period may be a signal sampling period.
The predistortion coefficient update state includes an updated state and an un-updated state, the updated state may be a state in which the predistortion coefficient is updated, and the un-updated state may be a state in which the predistortion coefficient is not updated.
In a specific implementation, the base station 104 may obtain downlink signal power of the LTE symbol input to the predistortion sampling circuit according to a preset predistortion sampling period, determine an update state of the predistortion coefficient by comparing the downlink signal power with a preset power threshold, and if the downlink signal power is smaller than the power threshold, indicate that the base station 104 does not update the predistortion coefficient, and may determine that the LTE symbol is in an un-updated state; if the downlink signal power is greater than or equal to the power threshold, it indicates that the base station 104 updates the predistortion coefficient, and may determine that the LTE symbol is in an updated state.
In practical application, the LTE symbol period can be used as a predistortion sampling period, and the power P of the downlink signal of each LTE symbol input to the predistortion sampling circuit is obtainedsym,iWhere i is the sequential numbering of the LTE symbols. Will Psym,iWith a predetermined predistortion sampling threshold TpBy comparison, when Psym,i≥TpIn time, the downlink signal x of the LTE symbol i can be collectediAnd corresponding power amplifier feedback signal yiAnd x isiAnd yiStoring in a predistortion data storage circuit, and passing xiAnd yiCarrying out predistortion coefficient updating, storing the updated predistortion coefficient in a coefficient memory circuit, and then judging that the LTE symbol i is in an updated state; when P is presentsym,i<TpThen x may not be collectediAnd yiAnd not updating the predistortion coefficient, and judging that the LTE symbol i is in an un-updated state.
In step S220, if the update state of the predistortion coefficient is an un-updated state, an un-updated flag is generated, and the cumulative total of the flags of the un-updated flag is counted.
In a specific implementation, if it is determined that the update state of the predistortion coefficient is an un-updated state in the current predistortion sampling period, the un-updated state can be recorded by generating an un-updated identifier, and a preset step length is added to the identifier cumulative total obtained in the previous predistortion sampling period to obtain the identifier cumulative total of the current predistortion sampling period. Wherein an initial value identifying the cumulative total may be set for the initial predistortion sampling period.
In practical applications, the total accumulated number of identifiers may be an un-updated registration value niAnd where i is 0, 1, 2, … …, and N, i is the sequence number of the LTE symbol, and when the LTE symbol period is the predistortion sampling period, it may also be the sequence number of the predistortion sampling period, and N is the total number of the predistortion sampling periods. The initial value of the non-updated registration value may be set to n00, last one obtainedNon-updated registration value n for pre-distorted sampling periodsi-1Then, if the update state of the predistortion coefficient of the current predistortion sampling period is the non-update state, after the registration is not updated, the update is carried out by the comparison of ni-1Adding an accumulation step size step-up to obtain the non-updated registration value n of the current predistortion sampling periodi＝ni-1+ step _ up, step _ up may be preferably 1.
It should be noted that, if it is determined that the update state of the predistortion coefficient is the updated state in the current predistortion sampling period, the updated state may be recorded, and the total number of the adjusted identifiers may be reduced, and the total number of the identifier accumulations may be cleared, and may also be halved, and may also be reduced according to a preset step length to obtain the adjusted total number of the identifiers, and if the adjusted total number of the identifiers is greater than or equal to zero, the adjusted total number of the identifiers may be used as a new total number of the identifiers, and if the adjusted total number of the identifiers is less than zero, zero may be taken as a new total number of the identifiers.
Obtaining the non-updated registration value n of the last pre-distorted sampling periodi-1Then, if the update state of the predistortion coefficient of the current predistortion sampling period is the updated state, after the registration is updated, the non-updated registration value can be cleared to obtain ni0; also by pairs of ni-1Reducing an accumulation step-down to obtain an un-updated registration value n of the current predistortion sampling periodi＝ni-1Step _ down, where step _ down may be taken to be ni-1A/2, which represents that the non-updated registration value of the current predistortion sampling period is obtained by halving the non-updated registration value of the last predistortion sampling period; n can also be paired in arbitrary stepsi-1Performing accumulation reduction, and when the accumulation reduction is less than zero, taking the non-updated registration value of the current predistortion sampling period as zero, namely ni＝max(0,ni-1Step _ down), there may be preferably step _ down of 10.
And step S230, when the accumulated total number of the identifiers is above a preset accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power.
In a specific implementation, an accumulation threshold may be set as an upper limit for the accumulated total number of identifiers, when the accumulated total number of identifiers reaches above the accumulation threshold, the decision on the LTE radio resource scheduling parameter correction may be true, and the LTE radio resource scheduling parameter correction is executed, otherwise, if the accumulated total number of identifiers does not reach above the accumulation threshold, the decision on the LTE radio resource scheduling parameter correction is false, and the LTE radio resource scheduling parameter correction is not executed. In the correction process, only the LTE radio resource scheduling parameter of the next predistortion sampling period may be temporarily corrected, so that the LTE symbol power of the next predistortion sampling period reaches the target level.
In practical application, if the accumulated total number of identifiers in the ith predistortion sampling period is greater than the accumulated threshold, the upper limit of the number of RBs (Resource blocks) allocated to each user in the LTE radio Resource scheduling parameter may be temporarily corrected in the (i + 1) th predistortion sampling period, so that the total number of RBs in the system in the (i + 1) th predistortion sampling period may reach the upper limit allowed by the system, and then the number of RBs allocated to each user in the LTE radio Resource scheduling parameter may be restored to a normal value in the (i + 2) th predistortion sampling period. By adjusting the number of RBs, an adjustment of the symbol power can be achieved.
Step S240, updating the digital predistortion coefficient according to the adjusted symbol power.
In specific implementation, when the LTE symbol power reaches a target level, the predistortion coefficient may be updated, so that the updated predistortion coefficient matches the state of the power amplifier. And then, the power of the LTE symbol in the next predistortion sampling period can be recovered to a normal level, and the predistortion coefficient is stopped to be updated.
In practical application, the adjusted symbol power can realize high service load, the symbol of the high service load can enable the power amplifier to work in a nonlinear interval, and the predistortion circuit can update the predistortion coefficient when acquiring the symbol of the high service load so as to keep the linearization of the power amplifier.
The digital predistortion coefficient updating method can obtain the updating condition of the predistortion coefficient corresponding to the predistortion sampling period by determining the predistortion coefficient updating state of the symbol according to the predistortion sampling period, if the predistortion coefficient updating state is the non-updating state, the non-updating mark is generated and the mark accumulated total of the non-updating mark is counted, the obtained mark accumulated total can reflect the density of the un-updated predistortion coefficient in a plurality of predistortion sampling periods within a history period of time, when the mark accumulated total is above a preset accumulated threshold, the power of the symbol is adjusted, when the density of the un-updated predistortion coefficient reaches a certain degree, the power of the symbol can be adjusted, the predistortion coefficient can be updated according to the adjusted power, the predistortion coefficient is prevented from being mismatched with the power amplifier state due to the fact that the predistortion coefficient is not updated for a long time, thereby improving the stability of the power amplifier.
In an embodiment, the method for updating the digital predistortion coefficient may further include the following steps:
step S310, according to the pre-distortion sampling period, a power amplifier feedback signal of the symbol is obtained.
The power amplifier feedback signal may be an output signal of the power amplifier.
In specific implementation, a downlink signal of an LTE symbol may be input to a predistortion calculator for predistortion, and then input to a power amplifier, and an output signal of the power amplifier may be used as a feedback signal of the power amplifier. And inputting the downlink signal according to the predistortion sampling period to obtain a plurality of power amplifier feedback signals corresponding to the predistortion sampling period.
Step S320, obtaining a linearization index of the power amplifier according to the feedback signal of the power amplifier.
In specific implementation, fourier transform may be performed on the feedback signal of the power amplifier to obtain a frequency domain signal of the feedback signal of the power amplifier, the in-band signal power of the frequency domain signal may be obtained according to a preset in-band signal index, and the out-of-band signal power may be obtained according to the in-band signal power. The method comprises the steps of obtaining a plurality of out-of-band signal powers corresponding to a plurality of pre-distortion sampling periods in a historical period of time, and obtaining a linearization index of the power amplifier by counting the plurality of out-of-band signal powers. Specifically, the linearization index may be obtained by averaging the powers of a plurality of out-of-band signals, the linearization index may be obtained according to the power of the out-of-band signal and the power of the corresponding in-band signal, and the linearization index may be obtained by performing weighted averaging on the powers of the plurality of out-of-band signals.
In practical application, the signal y can be fed back to a plurality of power amplifiersiFast Fourier Transform (FFT) is carried out to obtain a frequency domain signal Yi(k) And K is 0, 1, 2, … …, and K is the point number of the collected power amplifier feedback signal. Suppose Yi(k) Has an index k ═ k of the LTE in-band signalin，kin+1，kin+2，……，kin+ B-1 wherein kinIs the initial index of the LTE in-band signal, B is the frequency domain point number occupied by the LTE in-band signal, Y can be obtainedi(k) In-band signal power of LTE of
The LTE out-of-band signal power can be obtained according to the in-band signal power
LTE out-of-band signal power P combined with multiple pre-distortion sampling periods in past periodout,iThe linearization index q of the power amplifier can be obtained.
The linearization index q may be obtained by averaging the power of a plurality of out-of-band signals, and the formula may be
Wherein i0For the number of the LTE symbols in the current predistortion sampling period, I is the counted number of all LTE symbols, and preferably, I may be 1400.
The linearization index q can also be obtained from the out-of-band signal power and the corresponding in-band signal power, and the formula can be
Wherein, Pin,iIs the LTE in-band signal power.
The power of a plurality of out-of-band signals can be weighted and averaged to obtain a linearization index q, and the formula can be
Wherein alpha isiFor the weight sequence obtained by experiment, preferably, there may be αi＝(i-(i0-(I-1))+1)2。
Step S330, when the linearization index is above the preset index threshold and/or the accumulated total number of the marks is above the accumulated threshold, the power of the mark is adjusted.
In the specific implementation, an index threshold of a linearization index and an accumulated threshold of an accumulated total number of identifiers may be preset, when the linearization index is above the index threshold, the correction decision of the LTE radio resource scheduling parameter may be obtained as true, or when the accumulated total number of identifiers is above the accumulated threshold, the correction decision of the LTE radio resource scheduling parameter may be obtained as true, or when the linearization index is above the index threshold and the accumulated total number of identifiers is above the accumulated threshold, the correction decision of the LTE radio resource scheduling parameter may be obtained as true, otherwise, if the linearization index is not above the index threshold and the accumulated total number of identifiers is not above the accumulated threshold, the correction decision of the LTE radio resource scheduling parameter may be false. After the decision for correcting the LTE radio resource scheduling parameter is obtained as true, the correction of the LTE radio resource scheduling parameter may be performed. In the correction process, only the LTE radio resource scheduling parameter of the next predistortion sampling period may be temporarily corrected, so that the LTE symbol power of the next predistortion sampling period reaches the target level, and when the LTE symbol power reaches the target level, the predistortion coefficient may be updated, so that the updated predistortion coefficient matches the state of the power amplifier. And then, the power of the LTE symbol in the next predistortion sampling period can be recovered to a normal level, and the predistortion coefficient is stopped to be updated.
In practical application, when the linearization index q is more than or equal to TqOr the total accumulated number n of the identifiers is more than or equal to TnIf the correction judgment of the LTE wireless resource scheduling parameter is true, otherwise, the correction judgment is false, wherein TqCorresponding threshold, T, for the linearization index qnThe corresponding threshold for the non-updated registration value n. When q is not less than TqAnd n is not less than TnAnd if so, judging the correction of the LTE wireless resource scheduling parameter to be true, otherwise, judging the correction to be false.
In this embodiment, a power amplifier feedback signal of a symbol is obtained according to a predistortion sampling period, a linearization index of a power amplifier is obtained according to the power amplifier feedback signal, and a nonlinear characteristic of the power amplifier can be obtained; when the linearization index is above the preset index threshold and/or the accumulated total number of the identifiers is above the accumulated threshold, the power of the symbol is adjusted, the power of the symbol and the predistortion coefficient are adjusted by combining the nonlinear characteristic of the power amplifier and the density of the power amplifier with the non-updated predistortion coefficient, so that the update of the predistortion coefficient is matched with the state of the power amplifier, and the stability of the power amplifier is further improved.
In an embodiment, the step S320 may specifically include: performing Fourier transform on the feedback signal of the power amplifier to obtain a frequency domain signal of the feedback signal of the power amplifier; according to the frequency domain signals, counting out-of-band signal power of feedback signals of the power amplifier; and obtaining a linearization index according to the out-of-band signal power.
In specific implementation, fourier transform may be performed on the feedback signal of the power amplifier to obtain a frequency domain signal of the feedback signal of the power amplifier, the in-band signal power of the frequency domain signal may be obtained according to a preset in-band signal index, and the out-of-band signal power may be obtained according to the in-band signal power. The method comprises the steps of obtaining a plurality of out-of-band signal powers corresponding to a plurality of pre-distortion sampling periods in a historical period of time, and obtaining a linearization index of the power amplifier by counting the plurality of out-of-band signal powers.
In practical application, the signal y can be fed back to a plurality of power amplifiersiPerforming fast Fourier transform to obtain frequency domain signal Yi(k) And K is 0, 1, 2, … …, and K is the point number of the collected power amplifier feedback signal. Suppose Yi(k) Has an index k ═ k of the LTE in-band signalin，kin+1，kin+2，……，kin+ B-1 wherein kinIs the initial index of the LTE in-band signal, B is the frequency domain point number occupied by the LTE in-band signal, Y can be obtainedi(k) In-band signal power of LTE of
The LTE out-of-band signal power can be obtained according to the in-band signal power
LTE out-of-band signal power P combined with multiple pre-distortion sampling periods in past periodout,iThe linearization index q of the power amplifier can be obtained.
In the embodiment, the frequency domain signal of the feedback signal of the power amplifier is obtained by performing fourier transform on the feedback signal of the power amplifier, and the feedback signal of the power amplifier can be transformed from a time domain to a frequency domain, so that frequency domain processing is facilitated; the out-of-band signal power of the feedback signal of the power amplifier is counted according to the frequency domain signal, the linearization index is obtained according to the out-of-band signal power, the predistortion coefficient can be updated according to the nonlinear characteristic of the power amplifier, the update of the predistortion coefficient is matched with the state of the power amplifier, and the stability of the power amplifier is further improved.
In an embodiment, the step S320 may further include: obtaining a linearization index by averaging the power of a plurality of out-of-band signals; or, obtaining a linearization index according to the out-of-band signal power and the in-band signal power corresponding to the out-of-band signal power; or, the linearization index is obtained by carrying out weighted average on the power of a plurality of out-of-band signals.
In the specific implementation, in the process of obtaining the linearization index of the power amplifier by counting the powers of the multiple out-of-band signals, the linearization index can be obtained by averaging the powers of the multiple out-of-band signals, the linearization index can be obtained according to the power of the out-of-band signal and the power of the corresponding in-band signal, and the linearization index can be obtained by performing weighted averaging on the powers of the multiple out-of-band signals.
In practical application, the linearization index q can be obtained by averaging the powers of a plurality of out-of-band signals, and the formula can be
Wherein i0For the number of the LTE symbols in the current predistortion sampling period, I is the counted number of all LTE symbols, and preferably, I may be 1400.
The linearization index q can also be obtained from the out-of-band signal power and the corresponding in-band signal power, and the formula can be
Wherein, Pin,iIs the LTE in-band signal power.
The power of a plurality of out-of-band signals can be weighted and averaged to obtain a linearization index q, and the formula can be
Wherein alpha isiFor the weight sequence obtained by experiment, preferably, there may be αi＝(i-(i0-(I-1))+1)2。
In the embodiment, a linearization index is obtained by averaging the power of a plurality of out-of-band signals; or, obtaining a linearization index according to the out-of-band signal power and the in-band signal power corresponding to the out-of-band signal power; or, the linearization index is obtained by carrying out weighted average on the powers of a plurality of out-of-band signals, and the linearization index reflecting the power condition of the out-of-band signals can be obtained, so that the predistortion coefficient can be updated according to the linearization index, and the stability of the power amplifier is improved.
In an embodiment, the method for updating the digital predistortion coefficient may further include: if the update state of the predistortion coefficient is the updated state, the adjusted identification cumulative total is obtained by resetting the identification cumulative total, or halving the identification cumulative total, or reducing the identification cumulative total according to the preset step length; and if the adjusted total number of the identifications is less than zero, obtaining that the new total number of the identifications is zero.
In a specific implementation, if it is determined that the update state of the predistortion coefficient is the updated state in the current predistortion sampling period, the updated state may be recorded, the identification cumulative total may be reduced, the identification cumulative total may be cleared, the identification cumulative total may be halved, the identification cumulative total may be reduced according to a preset step length to obtain an adjusted identification cumulative total, if the adjusted identification cumulative total is greater than or equal to zero, the adjusted identification cumulative total may be used as a new identification cumulative total, and if the adjusted identification cumulative total is less than zero, zero may be used as the new identification cumulative total.
In practical application, the non-updated registration value n of the last predistortion sampling period is obtainedi-1Then, if the update state of the predistortion coefficient of the current predistortion sampling period is the updated state, after the registration is updated, the non-updated registration value can be cleared to obtain ni0; also by pairs of ni-1Reducing an accumulation step-down to obtain an un-updated registration value n of the current predistortion sampling periodi＝ni-1Step _ down, where step _ down may be taken to be ni-1And/2, byHalving the non-updated registration value of one predistortion sampling period to obtain the non-updated registration value of the current predistortion sampling period; n can also be paired in arbitrary stepsi-1Performing accumulation reduction, and when the accumulation reduction is less than zero, taking the non-updated registration value of the current predistortion sampling period as zero, namely ni＝max(0，ni-1Step _ down), there may be preferably step _ down of 10.
In this embodiment, if the update state of the predistortion coefficient is the updated state, the total number of accumulated identifications is cleared, or the total number of accumulated identifications is halved, or the total number of accumulated identifications is decreased according to the preset step length to obtain the adjusted total number of accumulated identifications, the total number of accumulated identifications can be decreased when the predistortion coefficient is updated, so that the total number of accumulated identifications is less than the accumulation threshold and the predistortion coefficient is not updated any more, and if the adjusted total number of accumulated identifications is less than zero, the new total number of accumulated identifications is zero, which can ensure that the total number of accumulated identifications is not negative.
In an embodiment, the step S210 may specifically include: acquiring the power of the symbol according to the pre-distortion sampling period; judging whether the power is above a preset power threshold; if the power is not above the power threshold, judging that the symbol is in an un-updated state; if the power is above the power threshold, judging that the symbol is in an updated state, and acquiring a downlink signal of the symbol and a feedback signal of a power amplifier; and updating the predistortion coefficient according to the downlink signal and the feedback signal of the power amplifier.
In specific implementation, the base station may obtain downlink signal power of the LTE symbol input to the predistortion acquisition circuit according to a preset predistortion acquisition period, determine an update state of the predistortion coefficient by comparing the downlink signal power with a preset power threshold, and if the downlink signal power is smaller than the power threshold, indicate that the base station does not update the predistortion coefficient, and may determine that the LTE symbol is in an un-updated state; if the downlink signal power is greater than or equal to the power threshold, the base station updates the predistortion coefficient, can acquire the downlink signal of the LTE symbol and the feedback signal of the power amplifier, updates the predistortion coefficient according to the downlink signal and the feedback signal of the power amplifier, and can judge that the LTE symbol is in an updated state.
In practical application, the LTE symbol period can be used as a predistortion sampling period, and the power P of the downlink signal of each LTE symbol input to the predistortion sampling circuit is obtainedsym，iWhere i is the sequential numbering of the LTE symbols. Will Psym，iWith a predetermined predistortion sampling threshold TpBy comparison, when Psym，i≥TpIn time, the downlink signal x of the LTE symbol i can be collectediAnd corresponding power amplifier feedback signal yiAnd x isiAnd yiStoring in a predistortion data storage circuit, and passing xiAnd yiCarrying out predistortion coefficient updating, storing the updated predistortion coefficient in a coefficient memory circuit, and then judging that the LTE symbol i is in an updated state; when P is presentsym，i＜TpThen x may not be collectediAnd yiAnd not updating the predistortion coefficient, and judging that the LTE symbol i is in an un-updated state.
In this embodiment, the power of the symbol is obtained according to the predistortion sampling period, whether the power is above a preset power threshold is judged, if the power is not above the power threshold, the symbol is judged to be in an un-updated state, if the power is above the power threshold, the symbol is judged to be in an updated state, a downlink signal and a power amplifier feedback signal of the symbol are obtained, the predistortion coefficient is updated according to the downlink signal and the power amplifier feedback signal, whether the predistortion coefficient is updated can be judged according to the symbol power of the LTE symbol, and the processing complexity of the digital predistortion coefficient updating method is reduced.
In an embodiment, the step S240 may specifically include: when the accumulated total number of the identifiers of the ith predistortion sampling period is above an accumulated threshold, adjusting the resource scheduling parameter of the (i + 1) th predistortion sampling period from an original value to a target value so as to adjust the power of the symbol according to the target value; and restoring the resource scheduling parameter of the (i + 2) th predistortion sampling period from the target value to the original value so as to stop adjusting the power of the symbol.
In specific implementation, an accumulation threshold may be set for the accumulated total number of identifiers as an upper limit, when the accumulated total number of identifiers in the ith predistortion acquisition period reaches above the accumulation threshold, the decision on the LTE radio resource scheduling parameter correction may be true, and the LTE radio resource scheduling parameter correction is executed, otherwise, if the accumulated total number of identifiers does not reach above the accumulation threshold, the decision on the LTE radio resource scheduling parameter correction is false, and the LTE radio resource scheduling parameter correction is not executed. In the correction process, only the LTE radio resource scheduling parameter of the (i + 1) th predistortion sampling period may be temporarily corrected, so that the LTE symbol power of the (i + 1) th predistortion sampling period reaches a target level, and when the LTE symbol power reaches the target level, the power of the symbol may be adjusted according to the target value, so that the symbol is at a high service load, and at this time, the power amplifier operates in a nonlinear region, so that the predistortion coefficient may be updated, and the updated predistortion coefficient may be matched with the state of the power amplifier. And then, the power of the LTE symbol in the (i + 2) th predistortion sampling period can be recovered to a normal level, the adjustment of the symbol power is stopped, and the predistortion coefficient is stopped to be updated.
In practical application, if the accumulated total number of identifiers in the ith predistortion sampling period is above the accumulated threshold, the upper limit of the number of RBs allocated to each user in the LTE radio resource scheduling parameter may be temporarily corrected in the (i + 1) th predistortion sampling period, so that the total number of RBs in the system in the (i + 1) th predistortion sampling period may reach the upper limit allowed by the system, and then the number of RBs allocated to each user in the LTE radio resource scheduling parameter may be restored to a normal value in the (i + 2) th predistortion sampling period.
In this embodiment, when the accumulated total number of identifiers in the ith predistortion sampling period is greater than the accumulation threshold, the resource scheduling parameter in the (i + 1) th predistortion sampling period is adjusted from the original value to the target value, and the resource scheduling parameter in the (i + 2) th predistortion sampling period is restored from the target value to the original value, so that when the predistortion coefficient is not updated for a long time, one predistortion coefficient update can be performed, thereby preventing the predistortion coefficient from being mismatched with the power amplifier state due to the fact that the predistortion coefficient is not updated for a long time, and improving the stability of the power amplifier.
To facilitate a thorough understanding of the embodiments of the present application by those skilled in the art, the following description will be given with reference to a specific example.
Fig. 3 provides a schematic diagram of a digital predistortion coefficient updating apparatus, which includes an LTE symbol power statistics and predistortion data acquisition unit, a predistortion coefficient updating and times statistics unit, a power amplifier linearization index calculation unit, and an LTE radio resource control unit, where:
the LTE symbol power statistic and predistortion sampling unit can count the power P of the downlink signal of each LTE symbol input to the predistortion sampling circuitsym，iWhere i is the sequential numbering of the symbols, Psym，iWith a predetermined predistortion sampling threshold TpBy comparison, when Psym，i≥TpThe time can be acquired, and the downlink signal x of the LTE symbol is acquirediAnd corresponding power amplifier feedback signal yiStored in a pre-distorted data memory circuit when P issym，i＜TpThe pre-distortion sampling may not be performed.
The predistortion coefficient updating and frequency counting unit can acquire x in the predistortion data acquisition memory circuitiAnd yiAnd according to xiAnd yiPredistortion coefficient updating is performed, and the updated predistortion coefficient is stored in the coefficient memory circuit and updated. When no pre-distortion sampling is performed, no update may be registered. Specifically, it may be assumed that the un-updated registration value is n, and the initial n is 0, and when the predistortion coefficient is not updated, the un-updated registration value is accumulated by 1, that is, n is n + 1; when the predistortion coefficients are updated, the non-updated registration value is cleared, i.e., n is 0. It is also possible to set the un-updated registration value to n, the initial n is 0, and when the predistortion coefficient is not updated, the un-updated registration value is added with step _ up, that is, n is n + step _ up, and preferably, step _ up is 1; when the predistortion coefficients are updated, the un-updated registration value is decremented by step _ down, i.e., n-step _ down, preferably step _ down is n/2. It is also possible to set the un-updated registration value to n, the initial n is 0, and when the predistortion coefficient is not updated, the un-updated registration value is added with step _ up, that is, n is n + step _ up, and preferably, step _ up is 1; when the predistortion coefficients are updated, the un-updated registration value is decremented by step _ down to 0, i.e. n ═ max (0, n-step _ down), preferably step _ down ═ 10.
The power amplifier linearization index calculation unit may calculate the power amplifier feedback signal y for each LTE symboliPerforming LTE out-of-band signal power Pout，iAnd counting to obtain a linearization index q, combining the linearization index q and the non-updated registration value n to obtain the correction judgment of the LTE wireless resource scheduling parameter, and executing the correction of the LTE wireless resource scheduling parameter when the judgment is true. The specific treatment process may include:
(1) LTE out-of-band signal power Pout，iCounting: for power amplifier feedback signal yiPerforming fast Fourier transform to obtain frequency domain signal YiStatistics of YiLTE out-of-band signal power Pout，i。YiCan be defined as Yi(k) Wherein k is 1: k, K is the number of points of the collected signal, and is a constant, K is a variable, K is 1: k represents that the value of K is a positive integer which is greater than or equal to 1 and less than or equal to K, and the subsequent expression meanings are similar and are not repeated. Suppose Yi(k) K-k index of the LTE in-band signalin：(kin+ B-1), wherein kinThe index of the LTE in-band signal is the initial index, and B is the number of frequency domain points occupied by the LTE in-band signal. Y can be obtainedi(k) In-band signal power of LTE of
LTE out-of-band signal power of
(2) Calculating a linearization index q: combining LTE out-of-band signal power P for a past period of timeout，iAnd obtaining a linearization index q.
Can be that
Whereini0For the number of the current symbol, I is the number of the statistical symbols, and preferably, I is 1400.
Can also be made of
Wherein P isin，iIs the LTE in-band signal power.
Can also be made of
Wherein alpha isiFor the experimentally obtained weight sequences, preferably, αi＝(i-(i0-(I-1))+1)2。
(3) And (4) observing q and combining the non-updated registration value n obtained by the predistortion coefficient updating and frequency counting unit to obtain the correction judgment of the LTE wireless resource scheduling parameter. When q is more than or equal to TqOr n is more than or equal to TnAnd if so, judging the correction of the LTE wireless resource scheduling parameter to be true, otherwise, judging the correction to be false. Wherein T isqCorresponding threshold, T, for the linearization index qnThe corresponding threshold for the non-updated registration value n. When q is not less than TqAnd n is not less than TnAnd if so, judging the correction of the LTE wireless resource scheduling parameter to be true, otherwise, judging the correction to be false.
The LTE radio resource control unit may perform modification of the LTE radio resource scheduling parameter, including only temporarily modifying the LTE radio resource scheduling parameter of the next scheduling period, so that the LTE symbol power of the next scheduling period reaches a target level, and the LTE symbol power of the next scheduling period returns to a normal level. For example, the upper limit of the number of RBs allocated to each user in the LTE radio resource scheduling parameter of the next scheduling period is temporarily modified, so that the total number of RBs in the system of the next scheduling period can reach the upper limit value allowed by the system, and the number of RBs allocated to each user in the LTE radio resource scheduling parameter of the immediately next scheduling period is restored to a normal value.
In one embodiment, as shown in fig. 4, a flowchart of another method for updating digital predistortion coefficients is provided, which specifically includes the following steps:
step S401, obtaining the power of the symbol according to the pre-distortion sampling period;
step S402, judging whether the power is above a preset power threshold;
step S403, if the power is not above the power threshold, generating an un-updated identifier, and counting the total number of identifiers accumulated by the un-updated identifier;
step S404, if the power is above the power threshold, the adjusted total number of the identifications is obtained by clearing the total number of the identifications, or halving the total number of the identifications, or reducing the total number of the identifications according to the preset step length;
step S405, obtaining a power amplifier feedback signal of a symbol according to the pre-distortion sampling period;
step S406, performing Fourier transform on the feedback signal of the power amplifier to obtain a frequency domain signal of the feedback signal of the power amplifier;
step S407, counting the out-of-band signal power of the feedback signal of the power amplifier according to the frequency domain signal;
step S408, obtaining a linearization index according to the out-of-band signal power;
step S409, when the linearization index is above a preset index threshold and/or the accumulated total number of the identifiers is above an accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power;
and step S410, updating the digital predistortion coefficient according to the adjusted symbol power.
It should be understood that although the various steps in the flowcharts of fig. 2 and 4 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 some of the steps in fig. 2 and 4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 5, there is provided a digital predistortion coefficient updating apparatus 500, including: a state determination module 501, an un-updated processing module 502, a power adjustment module 503, and a predistortion coefficient update module 504, wherein:
a state determining module 501, configured to determine, according to the predistortion sampling period, a predistortion coefficient update state of the symbol; the predistortion coefficient update state comprises an un-updated state;
an un-updated processing module 502, configured to generate an un-updated flag if the update state of the predistortion coefficient is the un-updated state, and count a cumulative total of the flags of the un-updated flag;
a power adjustment module 503, configured to adjust the power of the symbol when the accumulated total number of identifiers is greater than a preset accumulation threshold, to obtain an adjusted symbol power;
a predistortion coefficient updating module 504, configured to update the digital predistortion coefficient according to the adjusted symbol power.
In an embodiment, the apparatus 500 for updating digital predistortion coefficients further includes:
an obtaining module 505, configured to obtain a power amplifier feedback signal of the symbol according to the predistortion sampling period;
a calculating module 506, configured to obtain a linearization index of the power amplifier according to the power amplifier feedback signal;
a power adjusting module 507, configured to adjust the power of the symbol when the linearized indicator is above a preset indicator threshold and/or the accumulated total number of identifiers is above the accumulated threshold.
In an embodiment, the calculating module 506 is further configured to obtain a frequency domain signal of the power amplifier feedback signal by performing fourier transform on the power amplifier feedback signal; according to the frequency domain signal, counting out-of-band signal power of the feedback signal of the power amplifier; and obtaining the linearization index according to the out-of-band signal power.
In an embodiment, the calculating module 506 is further configured to obtain the linearization indicator by averaging the powers of a plurality of out-of-band signals; or, obtaining the linearization index according to the out-of-band signal power and the in-band signal power corresponding to the out-of-band signal power; or, the linearization index is obtained by performing weighted average on the powers of a plurality of out-of-band signals.
In an embodiment, the apparatus 500 for updating digital predistortion coefficients further includes:
an updated processing module 508, configured to, if the update state of the predistortion coefficient is the updated state, obtain an adjusted cumulative total of the identifiers by resetting the cumulative total of the identifiers, or halving the cumulative total of the identifiers, or reducing the cumulative total of the identifiers according to a preset step length;
a negative value processing module 509, configured to obtain that the new identifier cumulative total is zero if the adjusted identifier cumulative total is smaller than zero.
In an embodiment, the state determining module 501 is further configured to obtain the power of the symbol according to the predistortion sampling period; judging whether the power is above a preset power threshold; if the power is not above the power threshold, determining that the symbol is in the non-updated state; if the power is above the power threshold, judging that the symbol is in the updated state, and acquiring a downlink signal of the symbol and a feedback signal of a power amplifier; and updating the predistortion coefficient according to the downlink signal and the feedback signal of the power amplifier.
In an embodiment, the power adjusting module 503 is further configured to adjust the resource scheduling parameter of the (i + 1) th predistortion sampling period from an original value to a target value when the identified cumulative total of the (i) th predistortion sampling period is above the cumulative threshold, so as to adjust the power of the symbol according to the target value; and restoring the resource scheduling parameter of the (i + 2) th predistortion sampling period from the target value to the original value so as to stop adjusting the power of the symbol.
For specific limitations of the digital predistortion coefficient updating device, reference may be made to the above limitations of the digital predistortion coefficient updating method, which are not described herein again. The modules in the digital predistortion coefficient updating device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the communication device, and can also be stored in a memory in the communication device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a communication device is provided, which may be a base station, and its internal structure diagram may be as shown in fig. 6. The communication device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the communication device is configured to provide computing and control capabilities. The memory of the communication 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 communication device is used for storing digital predistortion coefficient update data. The network interface of the communication device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a digital predistortion coefficient update method.
Those skilled in the art will appreciate that the configuration shown in fig. 6 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation on the communication device to which the present application applies, and that a particular communication device may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
In one embodiment, a communication device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state; if the predistortion coefficient is in the non-updated state, generating a non-updated identifier, and counting the total accumulated number of the identifier of the non-updated identifier; when the accumulated total number of the identifiers is above a preset accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power; and updating the digital predistortion coefficient according to the adjusted symbol power.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a power amplifier feedback signal of the symbol according to the predistortion sampling period; obtaining a linearization index of the power amplifier according to the feedback signal of the power amplifier; and when the linearized index is above a preset index threshold and/or the accumulated total number of the identifiers is above the accumulated threshold, adjusting the power of the symbol.
In one embodiment, the processor, when executing the computer program, further performs the steps of: performing Fourier transform on the power amplifier feedback signal to obtain a frequency domain signal of the power amplifier feedback signal; according to the frequency domain signal, counting out-of-band signal power of the feedback signal of the power amplifier; and obtaining the linearization index according to the out-of-band signal power.
In one embodiment, the processor, when executing the computer program, further performs the steps of: obtaining the linearization index by averaging the power of a plurality of out-of-band signals; or, obtaining the linearization index according to the out-of-band signal power and the in-band signal power corresponding to the out-of-band signal power; or, the linearization index is obtained by performing weighted average on the powers of a plurality of out-of-band signals.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the update state of the predistortion coefficient is the updated state, the adjusted identification cumulative total is obtained by resetting the identification cumulative total, or halving the identification cumulative total, or reducing the identification cumulative total according to a preset step length; and if the adjusted total number of the identifications is less than zero, obtaining that the new total number of the identifications is zero.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the power of the symbol according to the predistortion sampling period; judging whether the power is above a preset power threshold; if the power is not above the power threshold, determining that the symbol is in the non-updated state; if the power is above the power threshold, judging that the symbol is in the updated state, and acquiring a downlink signal of the symbol and a feedback signal of a power amplifier; and updating the predistortion coefficient according to the downlink signal and the feedback signal of the power amplifier.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the accumulated total number of the identifiers of the ith predistortion sampling period is above the accumulated threshold, adjusting the resource scheduling parameter of the (i + 1) th predistortion sampling period from the original value to a target value so as to adjust the power of the symbol according to the target value; and restoring the resource scheduling parameter of the (i + 2) th predistortion sampling period from the target value to the original value so as to stop adjusting the power of the symbol.
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: determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state; if the predistortion coefficient is in the non-updated state, generating a non-updated identifier, and counting the total accumulated number of the identifier of the non-updated identifier; when the accumulated total number of the identifiers is above a preset accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power; and updating the digital predistortion coefficient according to the adjusted symbol power.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a power amplifier feedback signal of the symbol according to the predistortion sampling period; obtaining a linearization index of the power amplifier according to the feedback signal of the power amplifier; and when the linearized index is above a preset index threshold and/or the accumulated total number of the identifiers is above the accumulated threshold, adjusting the power of the symbol.
In one embodiment, the computer program when executed by the processor further performs the steps of: performing Fourier transform on the power amplifier feedback signal to obtain a frequency domain signal of the power amplifier feedback signal; according to the frequency domain signal, counting out-of-band signal power of the feedback signal of the power amplifier; and obtaining the linearization index according to the out-of-band signal power.
In one embodiment, the computer program when executed by the processor further performs the steps of: obtaining the linearization index by averaging the power of a plurality of out-of-band signals; or, obtaining the linearization index according to the out-of-band signal power and the in-band signal power corresponding to the out-of-band signal power; or, the linearization index is obtained by performing weighted average on the powers of a plurality of out-of-band signals.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the update state of the predistortion coefficient is the updated state, the adjusted identification cumulative total is obtained by resetting the identification cumulative total, or halving the identification cumulative total, or reducing the identification cumulative total according to a preset step length; and if the adjusted total number of the identifications is less than zero, obtaining that the new total number of the identifications is zero.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the power of the symbol according to the predistortion sampling period; judging whether the power is above a preset power threshold; if the power is not above the power threshold, determining that the symbol is in the non-updated state; if the power is above the power threshold, judging that the symbol is in the updated state, and acquiring a downlink signal of the symbol and a feedback signal of a power amplifier; and updating the predistortion coefficient according to the downlink signal and the feedback signal of the power amplifier.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the accumulated total number of the identifiers of the ith predistortion sampling period is above the accumulated threshold, adjusting the resource scheduling parameter of the (i + 1) th predistortion sampling period from the original value to a target value so as to adjust the power of the symbol according to the target value; and restoring the resource scheduling parameter of the (i + 2) th predistortion sampling period from the target value to the original value so as to stop adjusting the power of the symbol.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
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 updating digital predistortion coefficients, the method comprising:
determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state;
if the update state of the predistortion coefficient is the non-update state, generating a non-update identifier, and counting the total accumulated number of the identifier of the non-update identifier;
when the accumulated total number of the identifiers is above a preset accumulated threshold, adjusting the power of the symbol to obtain the adjusted symbol power;
and updating the digital predistortion coefficient according to the adjusted symbol power.
2. The method of updating digital predistortion coefficients of claim 1, further comprising:
acquiring a power amplifier feedback signal of the symbol according to the predistortion sampling period;
obtaining a linearization index of the power amplifier according to the feedback signal of the power amplifier;
and when the linearized index is above a preset index threshold and/or the accumulated total number of the identifiers is above the accumulated threshold, adjusting the power of the symbol.
3. The method for updating the predistortion coefficient of claim 2, wherein the obtaining the linearization index of the power amplifier according to the feedback signal of the power amplifier comprises:
performing Fourier transform on the power amplifier feedback signal to obtain a frequency domain signal of the power amplifier feedback signal;
according to the frequency domain signal, counting out-of-band signal power of the feedback signal of the power amplifier;
and obtaining the linearization index according to the out-of-band signal power.
4. The method for updating the digital predistortion coefficient according to claim 3, wherein the obtaining the linearization indicator according to the out-of-band signal power comprises:
obtaining the linearization index by averaging the power of a plurality of out-of-band signals;
or the like, or, alternatively,
obtaining the linearization index according to the out-of-band signal power and the in-band signal power corresponding to the out-of-band signal power;
or the like, or, alternatively,
and carrying out weighted average on the power of the out-of-band signals to obtain the linearization index.
5. The digital predistortion coefficient updating method according to claim 1, wherein the predistortion coefficient updating state further comprises an updated state; the method further comprises the following steps:
if the update state of the predistortion coefficient is the updated state, the adjusted identification cumulative total is obtained by resetting the identification cumulative total, or halving the identification cumulative total, or reducing the identification cumulative total according to a preset step length;
and if the adjusted total number of the identifications is less than zero, obtaining that the new total number of the identifications is zero.
6. The method for updating digital predistortion coefficients of claim 5, wherein the determining the predistortion coefficient update state of the symbol according to the predistortion sampling period comprises:
acquiring the power of the symbol according to the predistortion sampling period;
judging whether the power is above a preset power threshold;
if the power is not above the power threshold, determining that the symbol is in the non-updated state;
if the power is above the power threshold, judging that the symbol is in the updated state, and acquiring a downlink signal of the symbol and a feedback signal of a power amplifier;
and updating the predistortion coefficient according to the downlink signal and the feedback signal of the power amplifier.
7. The method for updating predistortion coefficients of claim 1, wherein said adjusting the power of said symbol when said total accumulated number of flags is above a preset accumulation threshold comprises:
when the accumulated total number of the identifiers of the ith predistortion sampling period is above the accumulated threshold, adjusting the resource scheduling parameter of the (i + 1) th predistortion sampling period from the original value to a target value so as to adjust the power of the symbol according to the target value;
and restoring the resource scheduling parameter of the (i + 2) th predistortion sampling period from the target value to the original value so as to stop adjusting the power of the symbol.
8. An apparatus for updating digital predistortion coefficients, the apparatus comprising:
the state determining module is used for determining the update state of the predistortion coefficient of the symbol according to the predistortion sampling period; the predistortion coefficient update state comprises an un-updated state;
an un-updated processing module, configured to generate an un-updated flag if the update state of the predistortion coefficient is the un-updated state, and count a cumulative total of the flags of the un-updated flag;
the power adjusting module is used for adjusting the power of the symbol when the accumulated total number of the identifiers is above a preset accumulated threshold to obtain the adjusted symbol power;
and the predistortion coefficient updating module is used for updating the digital predistortion coefficient according to the adjusted symbol power.
9. A communication device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any of claims 1 to 7 when executing the computer program.
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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| CN102510765A (en) * | 2011-11-28 | 2012-06-20 | 华为技术有限公司 | Method for adjusting predistortion factors and device thereof |
| CN103107967A (en) * | 2013-01-25 | 2013-05-15 | 大唐移动通信设备有限公司 | Pre-distortion factor renewal method and system |
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| CN107786174A (en) * | 2016-08-26 | 2018-03-09 | 上海澜至半导体有限公司 | Circuit and method for predistortion |
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| CN103107967A (en) * | 2013-01-25 | 2013-05-15 | 大唐移动通信设备有限公司 | Pre-distortion factor renewal method and system |
| CN104378322A (en) * | 2013-08-14 | 2015-02-25 | 富士通株式会社 | Predistorter control method and device |
| CN107786174A (en) * | 2016-08-26 | 2018-03-09 | 上海澜至半导体有限公司 | Circuit and method for predistortion |
| CN111131104A (en) * | 2019-12-12 | 2020-05-08 | 京信通信系统（中国）有限公司 | Pre-distortion processing method, device, storage medium and equipment |
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