Linearization method for power amplifier and electronic device thereof

Abstract

A linearization method for a power amplifier includes: receiving an input signal and an error associated with the input signal; performing fuzzy statistics on the input signal and the error; calculating a compensation value based on a fuzzy control table and a defuzzification formula; combining the compensation value with the input signal to obtain an intermediate signal, and inputting the intermediate signal into a power amplifier, the power amplifier outputting a first output signal; feeding back the first output signal of the power amplifier to an inverse model of an ideal power amplifier, the inverse model outputting a second output signal; and calculating the difference between the intermediate signal and the second output signal to obtain the error.

Description

[Technical Field]

[0001] This invention relates to power amplifiers, and more particularly to a method for linearizing power amplifiers and an electronic device thereof. [Previous Technology]

[0002] In existing technologies, digital pre-distortion (DPD) is used to perform linearization operations on power amplifiers. DPD works by pre-distorting the transmitted data in the digital domain to eliminate distortion caused by PA compression in the analog domain. In this way, DPD can double or more the power-added efficiency of the PA, allowing the PA to further saturate while maintaining linearity requirements.

[0003] However, the DPD process requires calculating the inverse function of the nonlinear component in the power amplifier's input-output curves, a calculation that is extremely lengthy and complex, consuming enormous computational resources. Therefore, simplifying the linearization operation of the power amplifier has become an important issue. [Summary of the Invention]

[0004] A linearization method for a power amplifier according to an embodiment of the present disclosure includes: receiving an input signal and an error associated with the input signal; performing fuzzy statistics on the input signal and the error; calculating a compensation value based on a fuzzy control table and a defuzzification formula; combining the compensation value with the input signal to obtain an intermediate signal, and inputting the intermediate signal into a power amplifier, the power amplifier outputting a first output signal; feeding the first output signal back to an inverse model of an ideal power amplifier, the inverse model outputting a second output signal; and calculating the difference between the intermediate signal and the second output signal to obtain the error.

[0005] The linearization method of the power amplifier of the present invention further includes filtering the error.

[0006] As described above, the linearization method for the power amplifier involves performing the fuzzy statistics on the input signal and the error, including: converting the input signal into a first value between 0 and 1; and converting the error into a second value between 0 and 1.

[0007] The linearization method for the power amplifier described above, the step of calculating the compensation value based on the fuzzy control table and the defuzzification formula, includes: finding a first column in an input signal column of the fuzzy control table that covers a first value; finding a second column in an error column of the fuzzy control table that covers a second value; finding a third column at the extended intersection of the first and second columns, the third column including a third value, the third value being equal to the minimum of the first and second values; and substituting the third value into the defuzzification formula to calculate the compensation value.

[0008] As described above, the linearization method for the power amplifier has the following defuzzification formula: where CV is the compensation value; is the absolute value of the sampling percentage; is the product of the third value and the sampling percentage; and u is the input signal.

[0009] As described above, the linearization method for the power amplifier, the step of calculating the difference between the intermediate signal and the second output signal to obtain the error includes: subtracting the second output signal from the intermediate signal to obtain the error. The error represents the nonlinear component or interference of the power amplifier.

[0010] The linearization method for power amplifiers described above further includes: calculating the inverse model of an ideal power amplifier. The inverse model of an ideal power amplifier is equivalent to the inverse function of the linear component of the power amplifier.

[0011] An electronic device includes a controller, a power amplifier, an inverse model of an ideal power amplifier, a subtractor, and a filter. The controller receives an input signal and an error associated with the input signal, performs fuzzy statistics on the input signal and the error, and calculates a compensation value based on a fuzzy control table and a defuzzification formula. The controller combines the compensation value with the input signal to obtain an intermediate signal and outputs the intermediate signal. The power amplifier is electrically connected to the controller, receives the intermediate signal, amplifies the intermediate signal to generate a first output signal. The power amplifier feeds the first output signal back to the inverse model, and the inverse model outputs a second output signal. The subtractor is electrically connected to the controller and the inverse model, calculates the subtraction of the intermediate signal and the second output signal to obtain the error.

[0012] In the electronic device described above, in fuzzy statistics, the controller converts the input signal into a first value between 0 and 1, and converts the error into a second value between 0 and 1.

[0013] As described in the electronic device above, the controller finds a first field in an input signal field of the fuzzy control table that covers a first value. The controller finds a second field in an error field of the fuzzy control table that covers a second value. The controller finds a third field at the intersection of the extended first and second fields. The third field includes a third value, which is equal to the minimum of the first and second values. The controller substitutes the third value into the defuzzification formula to calculate the compensation value.

[0014] As described above, the defuzzification formula is: where CV is the compensation value; is the absolute value of the sampling percentage; is the product of the third value and the sampling percentage. u is the input signal.

[0015] In the electronic device described above, the subtractor subtracts the second output signal from the intermediate signal to obtain the error. The error represents the nonlinear component or interference of the power amplifier.

[0016] As described above, the controller calculates the inverse model of an ideal power amplifier. The inverse model of an ideal power amplifier is equivalent to the inverse function of the linear component of the power amplifier.

[0017] The electronic device of the present invention further includes a filter and an adder. The filter is electrically connected to the controller and the subtractor to filter errors. The adder is electrically connected between the controller and the power amplifier to combine the compensation value with the input signal to obtain an intermediate signal, and outputs the intermediate signal.

Implementation Method

[0019] Exemplary embodiments of the invention will now be described in detail with reference to the drawings. Whenever possible, the same element symbols are used in the drawings and description to denote the same or similar parts.

[0020] Throughout this specification and the appended claims, certain terms are used to refer to specific elements. Those skilled in the art will understand that electronic device manufacturers may use different names to refer to the same components. This document is not intended to distinguish between components that function identically but have different names. In the following specification and claims, words such as "covering," "containing," and "comprising" are open-ended terms and should therefore be interpreted as "containing but not limited to...".

[0021] The terms “approximately,” “equal to,” “same as,” “substantially,” or “probably” are generally interpreted as being within 20% of a given value or range, or as being within 10%, 5%, 3%, 2%, 1%, or 0.5% of a given value or range.

[0022] The ordinal numbers used in the specification and claims, such as "first" and "second," to modify elements do not inherently imply or represent any prior ordinal number for that element (or those elements), nor do they represent the order of one element with another, or the order of manufacturing processes. The use of these ordinal numbers is solely to clearly distinguish one named element from another with the same name. The claims and specification may not use the same terminology; therefore, a first component in the specification may be a second component in the claims.

[0023] The electrical connection or coupling described in this invention can refer to a direct connection or an indirect connection. In the case of a direct connection, the endpoints of the two circuit components are directly connected or connected to each other by a conductor segment. In the case of an indirect connection, the endpoints of the two circuit components are connected by a switch, a diode, a capacitor, an inductor, a resistor, other suitable components, or a combination of the above components, but are not limited thereto.

[0024] In this invention, the thickness, length, and width can be measured using an optical microscope, while the thickness or width can be measured from a cross-sectional image in an electron microscope, but this is not a limitation. Furthermore, any two values ​​or directions used for comparison may have a certain degree of error. Additionally, the terms "equal to," "equivalent to," "identical," "substantially," or "approximately" used in this invention generally mean falling within 10% of a given value or range. Moreover, the phrases "given range is from the first value to the second value" and "given range falls within the range of the first value to the second value" indicate that the given range includes the first value, the second value, and other values ​​in between.

[0025] It should be understood that the features in the following embodiments can be replaced, recombined, or mixed to complete other embodiments without departing from the spirit of the present invention. Features between embodiments can be arbitrarily mixed and combined as long as they do not violate the spirit of the invention or conflict with it.

[0026] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It is understood that these terms, for example, as defined in commonly used dictionaries, should be interpreted as having a meaning consistent with the relevant art and the background or context of this invention, and should not be interpreted in an idealized or overly formal manner, unless specifically defined in the embodiments of this invention.

[0027] Figure 1 is a flowchart of the linearization method of the power amplifier according to an embodiment of the present invention. As shown in Figure 1, the linearization method of the power amplifier of the present invention includes: receiving an input signal and an error associated with the input signal (step S100); performing fuzzy statistics on the input signal and the error (step S102); calculating a compensation value based on a fuzzy control table and a defuzzification formula (step S104); combining the compensation value with the input signal to obtain an intermediate signal, and inputting the intermediate signal into a power amplifier to obtain a first output signal (step S106); feeding back the first output signal of the power amplifier to an inverse model of an ideal power amplifier, so that the inverse model outputs a second output signal (step S108); comparing the intermediate signal and the second output signal to obtain an error (step S110); and filtering the error to complete the linearization operation of the power amplifier (step S112).

[0028] In step S100, the linearization method of the power amplifier of the present invention adds the input signal and the error. The input signal is the signal used to be input to the power amplifier for amplification. In some embodiments, the input signal is a radio frequency (RF) signal, but the present invention is not limited thereto. In step S100, the error is the feedback error after being filtered in step S112. In some embodiments, the error represents the nonlinear component or interference of the power amplifier. In step S102, the linearization method of the power amplifier of the present invention converts the input signal into a first value between 0 and 1, and converts the error into a second value between 0 and 1.

[0029] In step S104, the linearization method of the power amplifier of the present invention first finds a first column covering the first value in an input signal column of the fuzzy control table. Next, the linearization method of the power amplifier of the present invention finds a second column covering the second value in an error column of the fuzzy control table. The linearization method of the power amplifier of the present invention finds a third column at the extended intersection of the first and second columns, the third column including a third value, the third value being equal to the minimum of the first and second values. Finally, the linearization method of the power amplifier of the present invention substitutes the third value into the defuzzification formula to obtain a compensation value.

[0030] In some embodiments, the defuzzification calculation in step S104 is: ... Formula 1

[0031] In formula 1, CV is the compensation value, is the absolute value of the sampling percentage, is the product of the third value and the sampling percentage, and u is the input signal.

[0032] In step S106, the linearization method of the power amplifier of the present invention adds an error to the input signal and then subtracts a compensation value to obtain an intermediate signal. The linearization method of the power amplifier of the present invention inputs the intermediate signal into the power amplifier. The power amplifier amplifies the intermediate signal to obtain a first output signal. In some embodiments, the first output signal includes a linear component and a nonlinear component of the power amplifier.

[0033] In step S108, the linearization method of the power amplifier of the present invention further calculates the inverse model of the ideal power amplifier. In some embodiments, the inverse model of the ideal power amplifier is equivalent to the inverse function of the linear component of the power amplifier. Then, the linearization method of the power amplifier of the present invention feeds back the first output signal to the inverse model of the ideal power amplifier, causing the inverse model to output a second output signal.

[0034] In step S110, the linearization method of the power amplifier of the present invention obtains the error by subtracting the second output signal from the intermediate signal. Specifically, since the first output signal includes both linear and nonlinear components of the power amplifier, when the second output signal is subtracted from the intermediate signal, the linear component in the input signal cancels out the linear component in the first input signal, leaving only the nonlinear component of the power amplifier. That is, the error represents the nonlinear component or interference of the power amplifier. In step S112, the linearization method of the power amplifier of the present invention filters the error using a filter and then feeds the filtered error back to step S100, thus completing the linearization operation of the power amplifier.

[0035] Figure 2 is a schematic diagram of an electronic device 200 according to an embodiment of the present invention. The electronic device 200 includes a controller 202, a power amplifier 210, an inverse model 204 of an ideal power amplifier, a subtractor 206, an adder 212, and a filter 208. The controller 202 receives an input signal u and an error d* associated with the input signal, performs fuzzy statistics on the input signal u and the error d*, and calculates a compensation value CV based on a fuzzy control table and a defuzzification formula. The adder 212 combines the compensation value CV with the input signal u to obtain an intermediate signal Vi, and outputs the intermediate signal Vi. The power amplifier 210 is electrically connected to the adder 212, receives the intermediate signal Vi, amplifies the intermediate signal Vi to generate a first output signal yO, and feeds the first output signal yO back to the inverse model 204 of the ideal power amplifier, so that the inverse model 204 outputs a second output signal Vi*.

[0036] Subtractor 206 is electrically connected to adder 212 and inverse model 304, comparing the intermediate signal Vi and the second output signal Vi* to obtain the error d*. In some embodiments, subtractor 206 and adder 212 are included in controller 202, but the present invention is not limited thereto. Filter 308 is electrically connected to controller 202 and subtractor 206, filtering the error d* to complete the linearization operation of power amplifier 202.

[0037] In some embodiments, the controller 202 calculates the inverse model 304 of the ideal power amplifier. The inverse model 304 of the ideal power amplifier is equivalent to the inverse function of the linear component of the power amplifier 210, for example, a function.

[0038] In some embodiments, the subtractor 206 subtracts the second output signal Vi* from the intermediate signal Vi to obtain the error d*. The error d* represents the nonlinear component or interference of the power amplifier 210.

[0039] In fuzzy statistics, controller 202 converts the input signal u into a first value between 0 and 1, and converts the error d* into a second value between 0 and 1. Controller 202 finds a first column in an input signal column of the fuzzy control table that covers the first value. Controller 202 finds a second column in an error column of the fuzzy control table that covers the second value. Controller 202 finds a third column at the intersection of the extended first and second columns. The third column includes a third value, which is equal to the minimum of the first and second values. Controller 202 substitutes the third value into the defuzzification formula to obtain the compensation value. The defuzzification formula is, for example, formula 1.

[0040] Figure 3 is a schematic diagram of the fuzzy control table 300 according to an embodiment of the present invention. As shown in Figure 3, the fuzzy control table 300 includes input signal fields and error fields. The input signal fields may include, for example, fields ZE, PS, PM1, PM2, ..., PMn, and PB, ordered from left to right. The error fields may include, for example, fields NB, ..., NM2, NM1, NS, ZE, PS, PM1, PM2, ..., PB, ordered from top to bottom.

[0041] For example, the values ​​covered by field ZE in the input signal field and error field can be, for example, 0%~% (i.e., membership function). The values ​​covered by field PS in the input signal field and error field can be, for example, %~%. The values ​​covered by field PM1 in the input signal field and error field can be, for example, %~%. The values ​​covered by field PM2 in the input signal field and error field can be, for example, %~%. The values ​​covered by field PMn in the input signal field and error field can be, for example, %~%. The values ​​covered by field PB in the input signal field and error field can be, for example, %~%.

[0042] In fuzzy statistics, controller 202 converts the input signal u into i%, and the error d* into e%. Referring to fuzzy control table 300, this invention first obtains that the converted value i% of the input signal u is located between field PS and field PM1, and the converted value e% of the error d* is located between field PM1 and field PM2. This invention uses the above results to calculate the percentage of each member, and then maps it to fuzzy control table 300.

[0043] During the mapping process, when the converted value i% of the input signal u is located in field PS, and the converted value e% of the error d* is located in fields PM1 and PM2, the corresponding output compensation o value can be located, for example, in fields NS and NM1. When the converted value i% of the input signal u is located in field PM1, and the converted value e% of the error d* is located in fields PM1 and PM2, the corresponding output compensation o value can be located, for example, in fields ZE and NS.

[0044] In some embodiments, when the converted value i% of the input signal u is located in field PS and the converted value e% of the error d* is located in field PM1, the value of the output compensation o is located in field NS. The value of the output compensation o is the minimum between the converted value % of the input signal u and the converted value % of the error d*. That is, ... When the converted value i% of the input signal u is located in field PS and the converted value e% of the error d* is located in field PM2, the value of the output compensation o is located in field NM1. The value of the output compensation o is the minimum between the converted value % of the input signal u and the converted value % of the error d*. That is, ...

[0045] In some embodiments, when the converted value i% of the input signal u is located in field PM1, and the converted value e% of the error d* is located in field PM2, the value of the output compensation o is located in field ZE. The value of the output compensation o is the minimum between the converted value % of the input signal u and the converted value % of the error d*. That is, ... When the converted value i% of the input signal u is located in field PM1, and the converted value e% of the error d* is located in field PM2, the value of the output compensation o is located in field NS. The value of the output compensation o is the minimum between the converted value % of the input signal u and the converted value % of the error d*. That is, ...

[0046] Figures 4A and 4B are schematic diagrams illustrating the membership function of the input signal obtained by the fuzzy control table 300 in Figure 3, which is the basis for implementing the present invention. The units of the horizontal and vertical axes in Figure 4A are both percentages. For example, the horizontal axis of Figure 4A includes 0, ..., which correspond to columns ZE, PS, PM1, PM2, ..., PB, and PMn, respectively. As shown in Figure 4A, taking sampling point 400 as an example, since sampling point 400 intersects with both columns PS and PM1, the input signal conversion value corresponding to sampling point 400 is % and %.

[0047] Figure 4B discloses a schematic diagram of the membership function in practical application of the present invention. The units of the horizontal and vertical axes in Figure 4B are both percentages. As shown in Figure 4B, the horizontal axis of Figure 4B includes -1, -0.75, -0.5, -0.25, 0, 0.25, 0.5, 0.75, and 1, which correspond to columns NB, NM2, NM1, NS, ZE, PS, PM1, PM2, and PB, respectively.

[0048] Figures 5A and 5B are schematic diagrams illustrating the membership function of the error obtained by the fuzzy control table 300 in Figure 3, which is the basis for implementing the present invention. The units of the horizontal and vertical axes in Figure 5A are both percentages. The horizontal axis of Figure 5A includes 0, ..., corresponding to columns ZE, PS, PM1, PM2, ..., PMn, and PB, respectively. As shown in Figure 5A, taking sampling point 500 as an example, since sampling point 500 intersects with both columns PM1 and PM2, the error conversion values ​​corresponding to sampling point 500 are % and %.

[0049] Figure 5B discloses a schematic diagram of the membership function in practical application of the present invention. The units of the horizontal and vertical axes in Figure 5B are both percentages. As shown in Figure 5B, the horizontal axis of Figure 5B includes -1, -0.75, -0.5, -0.25, 0, 0.25, 0.5, 0.75, and 1, which correspond to columns NB, NM2, NM1, NS, ZE, PS, PM1, PM2, and PB, respectively.

[0050] Figures 6A and 6B are schematic diagrams illustrating the membership functions for output compensation obtained from the fuzzy control table 300 in Figure 3, which are the basis for implementing this invention. The units for both the horizontal and vertical axes in Figure 6A are percentages. The horizontal axis of Figure 6A is based on the following: ..., corresponding to columns NB, NM2, NM1, NS, ZE, PS, PM1, ..., PB. The percentages of the sampling points on the horizontal axis of Figure 6A are -, -, -, -, -, -, -, -, -, 0, ..., ...

[0051] As shown in Figure 6A, the output compensation values ​​corresponding to the sampling point percentages from - to - are all %. Therefore, substituting the output compensation value corresponding to each sampling point percentage into Equation 1 yields the following Equation 2, which is used to obtain the compensation value CV. In Equation 2, u is the input signal.

[0052] ...Formula 2

[0053] Figure 6B discloses a schematic diagram of the membership function in practical application of the present invention. The units of the horizontal and vertical axes in Figure 6B are both percentages. As shown in Figure 6B, the horizontal axis of Figure 6B includes -1, -0.75, -0.5, -0.25, 0, 0.25, 0.5, 0.75, and 1, which correspond to columns NB, NM2, NM1, NS, ZE, PS, PM1, PM2, and PB, respectively.

[0054] The linearization method and electronic device 200 of the power amplifier of the present invention do not require direct calculation of the inverse function of the power amplifier as in the traditional digital predistortion (PDP) method. The linearization method of the power amplifier of the present invention directly treats the nonlinear component of the power amplifier as interference, so its inverse function can be directly calculated for an ideal power amplifier, which greatly simplifies the implementation difficulty.

[0055] The linearization method of the power amplifier and the electronic device 200 of the present invention regard any part that is not as expected as interference (whether internal or external), so even if there is external interference or internal interference, it can be resolved.

[0056] The calculation speed of the controller 202 in the electronic device 200 of the present invention is much simpler than that of adaptive control, which requires continuous updating of weights. In most cases, only a few logical rules are needed to calculate the compensation value d.

[0057] While embodiments of the present invention have been described above, it should be understood that what has been presented above is merely exemplary and not limiting. Many modifications to the above exemplary embodiments can be made without departing from the spirit and scope of the disclosure. Therefore, the breadth and scope of the present invention should not be limited by the embodiments described above. Rather, the scope of the present invention should be defined by the following claims and their equivalents. Although the above disclosure has been illustrated and depicted by one or more related embodiments, equivalent changes and modifications will be conceived by others skilled in the art based on the above specifications and drawings. Furthermore, although a particular feature of the invention has been demonstrated by one of the related embodiments, such feature may be combined with one or more other features to meet or facilitate any known or particular application.

[0058] The technical terms used in this specification are for the purpose of describing particular embodiments only and are not intended to be limiting of the invention. Unless the context clearly indicates otherwise, the singular form used herein, as well as the plural form, also includes the meaning of the foregoing. Furthermore, the terms "comprising," "including," "(having)," "equipped with," or variations thereof are used either as part of a detailed description or as part of the scope of the claims. The foregoing terms mean "comprising" and are to some extent equivalent to the term "comprising." Unless otherwise defined, all terms used herein (including technical or scientific terms) are to be understood by one of ordinary skill in the art disclosed above. We should further understand that the foregoing terms, as defined in commonly used dictionaries, should be interpreted as having the same meaning in the context of the relevant art. Unless expressly defined herein, the foregoing terms are not to be interpreted as having an idealized or overly formal meaning. [Simplified Explanation of the Diagram]

[0018] Figure 1 is a flowchart of the linearization method of the power amplifier according to an embodiment of the present invention. Figure 2 is a schematic diagram of the electronic device 200 according to an embodiment of the present invention. Figure 3 is a schematic diagram of the fuzzy control table 300 according to an embodiment of the present invention. Figures 4A and 4B are schematic diagrams of obtaining the membership function of the input signal according to the fuzzy control table 300 in Figure 3 according to an embodiment of the present invention. Figures 5A and 5B are schematic diagrams of obtaining the membership function of the error according to the fuzzy control table 300 in Figure 3 according to an embodiment of the present invention. Figures 6A and 6B are schematic diagrams of obtaining the membership function of the output compensation according to the fuzzy control table 300 in Figure 3 according to an embodiment of the present invention.

Claims

1. A method for linearizing a power amplifier, comprising: Receive an input signal and an error associated with that input signal; Perform a fuzzy statistical analysis on the input signal and the error; A compensation value is calculated based on a fuzzy control table and a defuzzification formula; the compensation value is combined with the input signal to obtain an intermediate signal, and the intermediate signal is input into a power amplifier, which outputs a first output signal; the first output signal is fed back to an inverse model of an ideal power amplifier, which outputs a second output signal; and the difference between the intermediate signal and the second output signal is calculated to obtain the error. The step of performing fuzzy statistics on the input signal and the error includes: converting the input signal into a first value between 0 and 1; and converting the error into a second value between 0 and 1.

2. The linearization method as described in claim 1, wherein, The steps of calculating the compensation value based on the fuzzy control table and the defuzzification formula include: finding a first column in an input signal column of the fuzzy control table that covers the first value; finding a second column in an error column of the fuzzy control table that covers the second value; finding a third column at the intersection of the extensions of the first column and the second column; wherein the third column includes a third value that is equal to the minimum of the first value and the second value; and substituting the third value into the defuzzification formula to calculate the compensation value.

3. The linearization method as described in claim 2, wherein, The unfuzzy resolution formula is: where CV is the compensation value; is the absolute value of the sampling percentage; is the product of the third value and the sampling percentage; and u is the input signal.

4. The linearization method as described in claim 1, wherein, The step of calculating the difference between the intermediate signal and the second output signal to obtain the error includes: subtracting the second output signal from the intermediate signal to obtain the error; wherein the error represents the nonlinear component or interference of the power amplifier.

5. The linearization method as described in claim 1 further includes: Calculate the inverse model of the ideal power amplifier; where the inverse model of the ideal power amplifier is equal to the inverse function of the linear component of the power amplifier.

6. The linearization method as described in claim 1 further includes: The error is then filtered.

7. An electronic device comprising: A controller receives an input signal and an error associated with the input signal, performs fuzzy statistics on the input signal and the error, calculates a compensation value based on a fuzzy control table and a defuzzification formula, combines the compensation value with the input signal to obtain an intermediate signal, and outputs the intermediate signal; a power amplifier electrically connected to the controller receives the intermediate signal, amplifies the intermediate signal to generate a first output signal; an inverse model of an ideal power amplifier, wherein the power amplifier feeds the first output signal back to the inverse model, and the inverse model outputs a second output signal; and a subtractor electrically connected to the controller and the inverse model calculates the subtraction of the intermediate signal and the second output signal to obtain the error, wherein, in the fuzzy statistics, the controller converts the input signal into a first value between 0 and 1, and converts the error into a second value between 0 and 1.

8. The electronic device as described in claim 7, wherein, The controller finds a first field that covers the first value in an input signal field of the fuzzy control table; The controller finds a second column in the fuzzy control table that covers the second value in an error column. The controller finds a third column at the extended intersection of the first column and the second column, wherein the third column includes a third value that is equal to the minimum of the first value and the second value; and the controller substitutes the third value into the defuzzification formula to calculate the compensation value.

9. The electronic device as claimed in claim 8, wherein, The unfuzzy resolution formula is: where CV is the compensation value; is the absolute value of the sampling percentage; is the product of the third value and the sampling percentage; and u is the input signal.

10. The electronic device as claimed in claim 7, wherein, The subtractor subtracts the second output signal from the intermediate signal to obtain the error; wherein the error represents the nonlinear component or interference of the power amplifier.

11. The electronic device as claimed in claim 7, wherein, The controller calculates the inverse model of the ideal power amplifier; wherein the inverse model of the ideal power amplifier is equal to the inverse function of the linear component of the power amplifier.

12. The electronic device as described in claim 7, further comprising: A filter, electrically connected to the controller and the subtractor, filters the error; An adder, electrically connected between the controller and the power amplifier, is used to combine the compensation value with the input signal to obtain an intermediate signal, and to output the intermediate signal.

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