CN109728828B - Method for separating signals and signal processing device - Google Patents

Method for separating signals and signal processing device Download PDF

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CN109728828B
CN109728828B CN201711043168.0A CN201711043168A CN109728828B CN 109728828 B CN109728828 B CN 109728828B CN 201711043168 A CN201711043168 A CN 201711043168A CN 109728828 B CN109728828 B CN 109728828B
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input signal
power amplifier
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determining
separation
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CN109728828A (en
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何松柏
韩冬
程琪
彭俊
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Huawei Technologies Co Ltd
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Abstract

The application provides a method for separating signals and a signal processing device, wherein the method comprises the following steps: determining a center frequency and a bandwidth of an input signal; determining a separation coefficient according to the center frequency and the bandwidth of the input signal; and according to the separation coefficient and the input signal, separating the input signal into a carrier power amplifier input signal and a peak power amplifier input signal. By utilizing the technical scheme, the corresponding separation coefficient can be determined for the input signal with any bandwidth and frequency, so that the input signal with any bandwidth and frequency can be separated into the carrier power amplifier input signal and the peak power amplifier input signal.

Description

Method for separating signals and signal processing device
Technical Field
The present application relates to the field of signal processing technology, and more particularly, to a method of separating signals and a signal processing apparatus.
Background
The power amplifier is the main energy consuming component of the transmitter. How to improve the efficiency of the power amplifier is a constant concern in the industry. The method of combining digital processing technology and analog circuit can not only reduce energy consumption but also reduce the complexity of circuit structure. Therefore, in recent years, researchers have proposed a digitally-assisted doherty (doherty) power amplifier to improve the efficiency of the power amplifier.
When the digitally-assisted doherty amplifier processes an input signal, the input signal needs to be separated into a carrier power amplifier input signal and a peak power amplifier input signal, and then the two signals are input into the doherty amplifier for subsequent processing.
The prior doherty power amplifier can only separate input signals with the same frequency into carrier power amplifier input signals and peak power amplifier input signals. However, in practical applications, the frequency of the input signal may be different. Therefore, how to separate the input signal with any bandwidth and frequency into the carrier power amplifier input signal and the peak power amplifier input signal is an urgent problem to be solved.
Disclosure of Invention
The application provides a method for separating signals and a signal processing device, which can separate input signals with any bandwidth and frequency into carrier power amplifier input signals and peak power amplifier input signals.
In a first aspect, an embodiment of the present application provides a method for separating signals, where the method includes: determining a center frequency and a bandwidth of an input signal; determining a separation coefficient according to the center frequency and the bandwidth of the input signal; and according to the separation coefficient and the input signal, separating the input signal into a carrier power amplifier input signal and a peak power amplifier input signal. By utilizing the technical scheme, the corresponding separation coefficient can be determined for the input signal with any bandwidth and frequency, so that the input signal with any bandwidth and frequency can be separated into the carrier power amplifier input signal and the peak power amplifier input signal, and the carrier power amplifier input signal and the peak power amplifier input signal obtained after separation are output to the doherty power amplifier. Therefore, the doherty power amplifier can achieve the working frequency with the maximum efficiency when signals with any bandwidth and frequency are input.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the determining a separation coefficient according to a center frequency and a bandwidth of the input signal includes: determining M frequency characteristic parameter sets from N frequency characteristic parameter sets according to the central frequency and the bandwidth of the input signal, wherein each frequency characteristic parameter set in the N frequency characteristic parameter sets comprises carrier power amplification power, peak power amplification power, phase difference and output power of one frequency, N is a positive integer greater than or equal to 2, and M is a positive integer greater than or equal to 1 and less than or equal to N; determining the separation coefficient according to the M frequency characteristic parameter sets. The M frequencies in the M sets of frequency characteristic parameters determined by the above technical solution are the same as the frequency range of the input signal, or the M frequencies are within the frequency range of the input signal. In this way, the separation coefficient corresponding to the input signal can be determined from the M sets of frequency characteristic parameters.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the determining the separation coefficient according to the M sets of frequency feature parameters includes: determining the input separation coefficient of the carrier power amplifier according to the M carrier power amplifiers and the M output powers in the M frequency characteristic parameter sets; determining the input separation coefficient of the peak power amplifier according to the M peak power amplifiers in the M frequency characteristic parameter sets and the M output powers; and determining the phase difference control coefficient according to the M phase differences in the M frequency characteristic parameter sets and the M output powers. By using the technical scheme, the input separation coefficient of the carrier power amplifier, the input separation coefficient of the peak power amplifier and the phase difference control coefficient can be determined, so that the three coefficients can be used for separating the input signal.
With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the separating the input signal into a carrier power amplifier input signal and a peak power amplifier input signal according to the separation coefficient and the input signal includes: determining a first separation signal according to the input signal and the carrier power amplifier input separation coefficient; determining a second separation signal according to the input signal and the input separation coefficient of the peak power amplifier; determining a third separation signal according to the input signal and the phase difference control coefficient; determining the carrier power amplifier input signal according to the first separation signal and the input signal; and determining the peak power amplifier input signal according to the second separation signal, the third separation signal and the input signal. The technical scheme separates the input signal by utilizing the carrier power amplifier input separation coefficient, the peak power amplifier input separation coefficient and the phase difference control coefficient.
With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the determining a first separation signal according to the modulus extraction result and the carrier power amplifier input separation coefficient includes: the first split signal is determined using the following equation:
Figure BDA0001451709000000021
wherein x (n) represents the input signal, K1Representing the order of the input separation function of the carrier amplifier, M1Memory depth, a, representing the input separation function of a carrier amplifierkmRepresenting the input separation coefficient, f, of the carrier amplifier1(n) represents the first separation signalNumber;
determining a second separation signal according to the input signal and the input separation coefficient of the peak power amplifier, comprising: the second split signal is determined using the following equation:
Figure BDA0001451709000000022
wherein x (n) represents the input signal, K2Representing the order of the separation function of the peak power amplifier input, M2Memory depth representing the separation function of the peak power amplifier input, bkmRepresenting the peak power amplifier input separation coefficient, f2(n) represents the second split signal;
determining a third split signal according to the input signal and the phase difference control coefficient includes: the third split signal is determined using the following equation:
Figure BDA0001451709000000023
wherein x (n) represents the input signal, K3Representing the order of the phase difference control function, M3Memory depth representing phase difference control function, ckmRepresenting the phase difference control coefficient, f3(n) represents the third split signal.
With reference to the third possible implementation manner of the first aspect or the fourth possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, the determining the carrier power amplifier input signal according to the first separation signal and the input signal includes: determining the carrier power amplifier input signal as the sum of the first split signal and the delayed input signal; should confirm this peak power amplifier input signal according to this second separated signal, this third separated signal and this input signal, include: determining the peak power amplifier input signal as a sum of the second split signal, the third split signal and the delayed input signal. According to the technical scheme, the input signal is delayed, so that the input signal is aligned with the first separation signal, the second separation signal and the third separation signal in time, and the carrier power amplifier input signal and the peak power amplifier input signal can be obtained more accurately.
In a second aspect, an embodiment of the present application further provides a signal processing apparatus, which includes means for implementing the first aspect or any possible implementation manner of the first aspect.
In a third aspect, an embodiment of the present application provides a signal processing apparatus, including: a memory for storing a program; a processor for executing the program stored in the memory, the processor being configured to perform the method of the first aspect or any of the possible implementations of the first aspect when the program is executed. Optionally, the signal processing device is a chip or an integrated circuit.
In a fourth aspect, an embodiment of the present application provides a chip for executing the method described in the first aspect or any possible implementation manner of the first aspect.
In a fifth aspect, the present application provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to perform the method of the above aspects.
In a sixth aspect, the present application provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of the above aspects.
Drawings
Fig. 1 is a schematic flow chart of a method for separating signals according to an embodiment of the present application.
Fig. 2 is a block diagram of a signal processing apparatus according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a doherty power amplifier system according to an embodiment of the present application.
Detailed Description
The technical solution in the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for separating signals according to an embodiment of the present application.
101, the center frequency and bandwidth of the input signal are determined.
102, a separation factor is determined based on the center frequency and bandwidth of the input signal.
And 103, separating the input signal into a carrier power amplifier input signal and a peak power amplifier input signal according to the separation coefficient and the input signal.
The separation coefficient determined by the method shown in fig. 1 corresponds to the input signal. Therefore, the method shown in fig. 1 can be used to determine the corresponding separation coefficient for the input signal with any bandwidth and frequency, so that the input signal with any bandwidth and frequency can be separated into the carrier power amplifier input signal and the peak power amplifier input signal, and the carrier power amplifier input signal and the peak power amplifier input signal obtained after separation are output to the doherty power amplifier. Therefore, the doherty power amplifier can achieve the working frequency with the maximum efficiency when signals with any bandwidth and frequency are input.
Optionally, in some embodiments, the determining the separation coefficient according to the center frequency and the bandwidth of the input signal may include: determining M sets of frequency characteristic parameters from the N sets of frequency characteristic parameters according to the center frequency and the bandwidth of the input signal; a separation coefficient is determined based on the set of M frequency characteristic parameters and the input signal. Each frequency characteristic parameter set in the N frequency characteristic parameter sets comprises carrier power amplifier power, peak power amplifier power, phase difference and output power of one frequency, N is a positive integer greater than or equal to 2, and M is a positive integer greater than or equal to 1 and less than or equal to N. It is understood that the center frequency of the input signal should be within the M frequency ranges comprised by the M sets of frequency parameters.
Table 1 is a schematic illustration of a set of frequency characteristic parameters.
Frequency of Power of carrier power amplifier Peak power amplifier power Phase difference Output power
f1 Pc1 Pp1 Φ1 Po1
f2 Pc2 Pp2 Φ2 Po2
f3 Pc3 Pp3 Φ3 Po3
fN-1 PcN-1 PpN-1 ΦN-1 PoN-1
fN PcN PpN ΦN PoN
TABLE 1
As shown in Table 1, at a frequency f1The power of the time carrier power amplifier is Pc1Peak power amplifier power Pp1Phase difference of phi1Output power of Po1(ii) a At a frequency f2The power of the time carrier power amplifier is Pc2Peak power amplifier power Pp2Phase difference of phi2Output power of Po2And so on. Wherein f is1For the minimum operating frequency, f, of the doherty power amplifierNIs the maximum operating frequency of the doherty power amplifier.
Optionally, in some embodiments, f1To fNMay be equally divided. For example, in some embodiments, the operating frequency of the doherty power amplifier is 1GHz to 2 GHz. Assuming a division at 20MHz, f1=1Ghz,f2=1.02GHz,f3=1.04GHz,f4=1.06GHz,……,fN=2GHz。
Optionally, in other embodiments, f1To fNOr may be unequal. For example, if the center frequencies of more input signals are within a specific range, the adjacent frequencies within the specific range are spaced less apart, and the adjacent frequencies not within the specific range are spaced more apart. For example, assume that the operating frequency of the doherty power amplifier is 1GHz to 2GHz, and the center frequency of 80% of the input signal is 1.4GHz to 1.8GHz is between. In this case, the spacing of adjacent frequencies between 1.4GHz and 1.8GHz may be 10MHz, e.g., 1.4GHz, 1.41GHz, 1.42GHz, … …, 1.8 GHz. The spacing of adjacent frequencies other than 1.4GHz to 1.8GHz may be 40Mhz, e.g., 1.0GHz, 1.04GHz, 1.08GHz, etc.
Each of the N frequency characteristic parameter sets may be preset. For example, the carrier power amplifier power, the peak power amplifier power, the phase difference and the output power of each frequency can be obtained in a training mode. Specifically, two paths of single-tone signals can be used for testing the power amplifier characteristics, the amplitudes of input signals of the main power amplifier and the peak power amplifier are controlled to be Pc and Pp respectively, and the phase difference is phi. The variation range of Pc is AdBm to BdBm (wherein A and B are positive integers, and B is greater than A), and the variation step is 1 dBm. Pp ranges from CdBm to DdBm (where C and D are positive integers, and D is greater than C and C is greater than A), with a step of 1 dBm. The phi is changed from 0 degree to 180 degrees, and the change step is 5 degrees. And traversing all combination modes of the three variables Pc, Pp and phi, and continuously scanning the dual-input power amplifier to obtain a relation graph of the output power and the output efficiency of the power amplifier. From the relationship, each output power point PoThere are a plurality of input points (Pc, Pp, phi) corresponding thereto. However, the power amplifier output efficiency corresponding to these points is not the same. Therefore, in order to achieve the purpose of improving the output efficiency of the power amplifier, the point with the highest efficiency can be selected under different output powers, and the carrier power amplifier input power, the peak power amplifier input power, the phase difference and the output power corresponding to the point are stored as the carrier power amplifier power, the peak power amplifier power, the phase difference and the output power of the frequency.
The power of the carrier power amplifier, the power of the peak power amplifier, the phase difference and the output power of each frequency can be determined according to historical statistical data.
The M frequencies in the M sets of frequency characteristics are the same as, or within, the frequency range of the input signal. For example, assume that the center frequency of the input signal is 1.09GHz and the bandwidth is 60 MHz. Meanwhile, the working frequency of the doherty power amplifier is also assumed to be 1GHz to 2GHz, and the frequencies in the N frequency characteristic sets are divided by 20 MHz. In this case, a set of frequency features for frequencies of 1.06GHz, 1.08GHz, 1.10GHz, and 1.12GHz may be selected. As another example, assume that the input signal has a center frequency of 1.08GHz and a bandwidth of 60 MHz. Assuming that the operating frequency of the doherty power amplifier is also 1GHz to 2GHz, the frequencies in the N frequency feature sets are divided by 20 MHz. In this case, a set of frequency features for frequencies of 1.04GHz, 1.06GHz, 1.08GHz, 1.10GHz and 1.12GHz may be selected.
Optionally, in some embodiments, the separation coefficient may include a carrier power amplifier input separation coefficient, a peak power amplifier input separation coefficient, and a phase difference control coefficient. The determining the separation coefficient according to the M sets of frequency feature parameters may include: determining the input separation coefficient of the carrier power amplifier according to the M carrier power amplifiers and the M output powers in the M frequency characteristic parameter sets; determining the input separation coefficient of the peak power amplifier according to the M peak power amplifiers in the M frequency characteristic parameter sets and the M output powers; and determining the phase difference control coefficient according to the M phase differences in the M frequency characteristic parameter sets and the M output powers.
For example, assume that the center frequency of the input signal is 1.04GHz and the bandwidth is 40 MHz. Meanwhile, the working frequency of the doherty power amplifier is also assumed to be 1GHz to 2GHz, and the frequencies in the N frequency characteristic sets are divided by 20 MHz. In this case, the set of M frequency features is shown in table 2.
Frequency of Power of carrier power amplifier Peak power amplifier power Phase difference Output power
1.02GHz Pc1 Pp1 Φ1 Po1
1.04GHz Pc2 Pp2 Φ2 Po2
1.06GHz Pc3 Pp3 Φ3 Po3
TABLE 2
In this case, it can be according to Pc1、Pc2、Pc3And Po1、Po2、Po3The separation coefficient a of the carrier power amplifier input can be determinedkm
Specifically, akmIs determined by the following formula:
A=(XHX)-1XHy (formula 1.1)
Wherein X and Y are both matrices, H represents a matrix transposition operation, and-1 represents an inversion matrix operation. Let K be 5, M be 1, Pc2=[0.21,0.41,0.61,0.81],Pc3=[0.22,0.42,0.62,0.82],Pc4=[0.23,0.43,0.63,0.83],Po2=[0.11,0.31,0.51,0.71],Po3=[0.12,0.32,0.52,0.72],Po4=[0.13,0.33,0.53,0.73]。
A=[a10,a11,a20,a21,...,a52]T(formula 1.2)
Figure BDA0001451709000000051
Figure BDA0001451709000000052
Substituting the formula 1.3 and the formula 1.4 into the formula 1.1 can obtain the value of A, namely akmThe value of (a).
Analogously, according to Pp1、Pp2、Pp3And Po1、Po2、Po3The peak power amplifier input separation function b can be determinedkmAccording to phi1、Φ2、Φ3And Po1、Po2、Po3The phase difference control function c can be determinedkm
bkmAnd ckmSpecific determination of (a)kmThe specific determination process is similar and need not be described herein.
After the carrier power amplifier input separation coefficient, the peak power amplifier separation coefficient and the phase difference control coefficient are determined, the carrier power amplifier input signal and the peak power amplifier input signal can be determined according to an input signal, the carrier power amplifier input separation coefficient, the peak power amplifier separation coefficient and the phase difference control coefficient.
Specifically, a first separation signal may be determined according to the input signal and the carrier power amplifier input separation coefficient; determining a second separation signal according to the input signal and the input separation coefficient of the peak power amplifier; determining a third separation signal according to the input signal and the phase difference control coefficient; the first separation signal and the input signal determine the input signal of the carrier power amplifier; and determining the peak power amplifier input signal according to the second separation signal, the third separation signal and the input signal.
More specifically, the first split signal may be determined according to equation 1.5:
Figure BDA0001451709000000061
wherein x (n) represents an input signal, K1Inputting separation function order, M, for carrier power amplifier1Memory depth of input separation function for carrier power amplifier, akmInputting separation factor, f, for carrier power amplifier1(n) represents the first split signal. M1Is a preset fixed value, K1In relation to the input signal, the greater the bandwidth of the input signal, K1The larger the value of (c).
The second split signal may be determined according to equation 1.6.
Figure BDA0001451709000000062
Wherein x (n) represents an input signal, K2Separating the order of the function for peak power amplifier input, M2Memory depth as a function of peak power amplifier input separation, bkmSeparate function coefficient, f, is input for peak power amplifier2(n) is the second split signal. M2Is a preset fixed value, K2In relation to the input signal, the greater the bandwidth of the input signal, K2The larger the value of (c). bkmThe peak power amplifier power and the output power are determined.
The second split signal may be determined according to equation 1.7.
Figure BDA0001451709000000063
Wherein x (n) represents an input signal, K3Order of the control function for the phase difference, M3Memory depth as a function of phase difference control, ckmIs a phase difference control coefficient, f3(n) is the thirdThe signals are separated. M3Is a preset fixed value, K3In relation to the input signal, the greater the bandwidth of the input signal, K3The larger the value of (c).
Optionally, in some embodiments, the determining the carrier power amplifier input signal according to the first separation signal and the input signal includes: determining the carrier power amplifier input signal as the sum of the first split signal and the delayed input signal; should confirm this peak power amplifier input signal according to this second separated signal, this third separated signal and this input signal, include: determining the peak power amplifier input signal as a sum of the second split signal, the third split signal and the delayed input signal.
The input signal used in determining the input signal of the carrier power amplifier can be subjected to delay processing. This is because the process of determining the first separation coefficient requires a certain time to process. That is, the first separation factor is based on t1The time of day of the input signal being determined, and the input signal not being delayed being t2At a time t2Time of late childbirth t1The time of day. Thus, the input signal may be delayed such that the delayed input signal is time aligned with the first split signal. Therefore, the accuracy of the determined carrier power amplifier input signal can be improved. Similarly, the input signal may also be delayed to determine the peak power amplifier input, so that the determined second split signal, third split signal and input signal may be aligned in time by delaying the input signal. Thus, the accuracy of the determined peak power amplifier input signal can be improved.
Optionally, in other embodiments, the correspondence between the center frequency and the bandwidth of the input signal and the separation coefficient may be pre-stored through pre-training or historical statistical data. In this way, the separation coefficient corresponding to the input signal can be determined directly from the correspondence relationship stored in advance.
Optionally, in other embodiments, the correspondence between the frequency feature parameter set and the separation coefficient may be pre-stored through pre-training or historical statistical data. In this way, the separation coefficient corresponding to the set of frequency feature parameters can be determined directly from the correspondence relationship stored in advance. In other words, after the M sets of frequency characteristic parameters are determined according to the center frequency and the bandwidth of the input signal, the separation coefficient corresponding to the input signal can be directly determined according to the M sets of frequency characteristic parameters.
Fig. 2 is a block diagram of a signal processing apparatus according to an embodiment of the present application. As shown in fig. 2, the apparatus 200 comprises an input unit 201 and a processing unit 202.
An input unit 201 for acquiring an input signal.
A processing unit 202 for determining the center frequency and bandwidth of the input signal.
The processing unit 202 is further configured to determine a separation coefficient according to the center frequency and the bandwidth of the input signal.
The processing unit 202 is further configured to separate the input signal into a carrier power amplifier input signal and a peak power amplifier input signal according to the separation coefficient and the input signal.
The signal processing apparatus 200 shown in fig. 2 determines a corresponding separation coefficient for an input signal of an arbitrary bandwidth and frequency, so that the input signal of the arbitrary bandwidth and frequency can be separated into a carrier power amplifier input signal and a peak power amplifier input signal. The signal processing apparatus 200 as shown in fig. 2 may further include an output unit. The signal processing device 200 can be connected to the doherty power amplifier through the output unit. The output unit is used for outputting the carrier power amplifier input signal and the peak power amplifier input signal to a doherty power amplifier. Therefore, the doherty power amplifier can achieve the working frequency with the maximum efficiency when signals with any bandwidth and frequency are input.
Optionally, in some embodiments, the output unit may include a first output unit and a second output unit, where the first output unit is configured to output the carrier power amplifier input signal, and the second output unit is configured to output the peak power amplifier input signal.
The specific operation and beneficial effects of the input unit 201 and the processing unit 202 can be referred to the embodiment shown in fig. 1, and need not be described herein in detail.
Alternatively, in some embodiments, the Signal processing apparatus 200 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed.
Fig. 3 is a schematic diagram of a doherty power amplifier system according to an embodiment of the present application. As shown in fig. 3, the doherty power amplifier system 300 includes a signal processing device 301 and a doherty power amplifier 302.
The signal processing apparatus 301 may be the signal processing apparatus 200 as shown in fig. 2. A first output interface of the signal processing means 301 is coupled to a first input interface of the doherty power amplifier 302. A second output interface of the signal processing means 301 is coupled to a second output interface of the doherty power amplifier.
The signal processing device is used for separating an input signal into a carrier power amplifier input signal and a peak power amplifier input signal, outputting the carrier power amplifier input signal to the first input interface through the first output interface, and outputting the peak power amplifier input signal to the second input interface through the second output interface.
The specific operation process of the signal processing apparatus 301 can be referred to in the embodiment of fig. 1 or fig. 2, and therefore, the detailed description is not necessary here.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (12)

1. A method of separating signals, the method comprising:
determining a center frequency and a bandwidth of an input signal;
determining M frequency characteristic parameter sets according to the central frequency and the bandwidth of the input signal, wherein the central frequency of the input signal is in M frequency ranges included in the M frequency characteristic parameter sets, and determining a separation coefficient according to the M frequency characteristic parameter sets;
and according to the separation coefficient and the input signal, separating the input signal into a carrier power amplifier input signal and a peak power amplifier input signal.
2. The method of claim 1, wherein determining M sets of frequency signature parameters from the center frequency and bandwidth of the input signal, and determining separation coefficients from the M sets of frequency signature parameters, comprises:
determining M frequency characteristic parameter sets from N frequency characteristic parameter sets according to the central frequency and the bandwidth of the input signal, wherein each frequency characteristic parameter set in the N frequency characteristic parameter sets comprises carrier power amplification power, peak power amplification power, phase difference and output power of one frequency, N is a positive integer greater than or equal to 2, and M is a positive integer greater than or equal to 1 and less than or equal to N;
and determining the separation coefficient according to the M frequency characteristic parameter sets.
3. The method of claim 2, wherein said determining the separation coefficient from the M sets of frequency feature parameters comprises:
determining the input separation coefficient of the carrier power amplifier according to the M carrier power amplifiers in the M frequency characteristic parameter sets and the M output powers;
determining a peak power amplifier input separation coefficient according to the M peak power amplifier powers and the M output powers in the M frequency characteristic parameter sets;
and determining a phase difference control coefficient according to the M phase differences in the M frequency characteristic parameter sets and the M output powers.
4. The method of claim 3, wherein said separating said input signal into a carrier power amplifier input signal and a peaking power amplifier input signal based on said separation coefficient and said input signal comprises:
determining a first separation signal according to the input signal and the carrier power amplifier input separation coefficient;
determining a second separation signal according to the input signal and the peak power amplifier input separation coefficient;
determining a third separation signal according to the input signal and the phase difference control coefficient;
determining the carrier power amplifier input signal according to the first separation signal and the input signal;
and determining the peak power amplifier input signal according to the second separation signal, the third separation signal and the input signal.
5. The method of claim 4, wherein determining a first split signal based on an input signal and the carrier power amplifier input split coefficient comprises: determining the first split signal using the following equation:
Figure FDA0003069419510000011
wherein x (n) represents the input signal, K1Representing the order of the input separation function of the carrier amplifier, M1Memory depth, a, representing the input separation function of a carrier amplifierkmRepresenting the input separation coefficient of the carrier power amplifier, f1(n) represents the first split signal;
determining a second separation signal according to the input signal and the peak power amplifier input separation coefficient, comprising: determining the second split signal using the following equation:
Figure FDA0003069419510000021
wherein x (n) represents the input signal, K2Representing the order of the separation function of the peak power amplifier input, M2Memory depth representing the separation function of the peak power amplifier input, bkmRepresenting the peak power amplifier input separation factor, f2(n) represents the second split signal;
determining a third split signal according to the input signal and the phase difference control coefficient includes: determining the third split signal using the following equation:
Figure FDA0003069419510000022
wherein x (n) represents the input signal, K3Representing the order of the phase difference control function, M3Memory depth representing phase difference control function, ckmRepresenting the phase difference control coefficient, f3(n) represents the third split signal.
6. The method of claim 4 or 5, wherein said determining the carrier power amplifier input signal based on the first split signal and the input signal comprises:
determining the carrier power amplifier input signal as the sum of the first separated signal and the delayed input signal;
determining the peak power amplifier input signal according to the second split signal, the third split signal and the input signal, including:
and determining that the peak power amplifier input signal is the sum of the second split signal, the third split signal and the delayed input signal.
7. A signal processing apparatus, characterized in that the apparatus comprises:
an input unit for acquiring an input signal;
a processing unit for determining a center frequency and a bandwidth of the input signal;
the processing unit is further configured to determine M sets of frequency feature parameters according to a center frequency and a bandwidth of the input signal, where the center frequency of the input signal is within M frequency ranges included in the M sets of frequency feature parameters, and determine a separation coefficient according to the M sets of frequency feature parameters;
and the processing unit is further used for separating the input signal into a carrier power amplifier input signal and a peak power amplifier input signal according to the separation coefficient and the input signal.
8. The apparatus according to claim 7, wherein the processing unit is specifically configured to determine M sets of frequency characteristic parameters from N sets of frequency characteristic parameters according to a center frequency and a bandwidth of the input signal, where each set of frequency characteristic parameters of the N sets of frequency characteristic parameters includes a carrier power amplifier power, a peak power amplifier power, a phase difference, and an output power of one frequency, N is a positive integer greater than or equal to 2, and M is a positive integer greater than or equal to 1 and less than or equal to N;
and determining the separation coefficient according to the M frequency characteristic parameter sets.
9. The apparatus according to claim 8, wherein the processing unit is specifically configured to determine the carrier power amplifier input separation coefficient according to M carrier power amplifier powers and M output powers in the M frequency characteristic parameter sets;
determining the input separation coefficient of the peak power amplifier according to the M peak power amplifiers in the M frequency characteristic parameter sets and the M output powers;
and determining a phase difference control coefficient according to the M phase differences in the M frequency characteristic parameter sets and the M output powers.
10. The apparatus of claim 9, wherein the processing unit is specifically configured to determine a first separation signal according to the input signal and the carrier power amplifier input separation coefficient;
determining a second separation signal according to the input signal and the peak power amplifier input separation coefficient;
determining a third separation signal according to the input signal and the phase difference control coefficient;
determining the carrier power amplifier input signal according to the first separation signal and the input signal;
and determining the peak power amplifier input signal according to the second separation signal, the third separation signal and the input signal.
11. The apparatus of claim 10, wherein the processing unit is specifically configured to determine the first split signal using the following equation:
Figure FDA0003069419510000031
wherein x (n) represents the input signal, K1Representing the order of the input separation function of the carrier amplifier, M1Indicating carrier power amplifier input separationMemory depth of function, akmRepresenting the input separation coefficient of the carrier power amplifier, f1(n) represents the first split signal;
determining the second split signal using the following equation:
Figure FDA0003069419510000032
wherein x (n) represents the input signal, K2Representing the order of the separation function of the peak power amplifier input, M2Memory depth representing the separation function of the peak power amplifier input, bkmRepresenting the peak power amplifier input separation factor, f2(n) represents the second split signal;
determining the third split signal using the following equation:
Figure FDA0003069419510000033
wherein x (n) represents the input signal, K3Representing the order of the phase difference control function, M3Memory depth representing phase difference control function, ckmRepresenting the phase difference control coefficient, f3(n) represents the third split signal.
12. The apparatus according to claim 10 or 11, wherein the processing unit is specifically configured to determine that the carrier power amplifier input signal is a sum of the first split signal and the delayed input signal;
determining the peak power amplifier input signal according to the second split signal, the third split signal and the input signal, including:
and determining that the peak power amplifier input signal is the sum of the second split signal, the third split signal and the delayed input signal.
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