CN116405135A - Method for obtaining average power of radio frequency signal - Google Patents

Method for obtaining average power of radio frequency signal Download PDF

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Publication number
CN116405135A
CN116405135A CN202310254720.XA CN202310254720A CN116405135A CN 116405135 A CN116405135 A CN 116405135A CN 202310254720 A CN202310254720 A CN 202310254720A CN 116405135 A CN116405135 A CN 116405135A
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signal
input signal
average power
voltage
radio frequency
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王中航
莫世波
廖宗毅
林春材
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Chengdu Jovian Technology Exploitation Co ltd
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Chengdu Jovian Technology Exploitation Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/20—Monitoring; Testing of receivers
    • H04B17/26—Monitoring; Testing of receivers using historical data, averaging values or statistics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention provides a method for solving the average power of a radio frequency signal, which comprises the following steps: s10, detecting an input signal to obtain a detected signal; the input signal is a radio frequency signal; s20, filtering the detection signal; s30, converting the filtered detection signal from an analog signal to a digital signal; s40, the average power of the radio frequency signal is obtained by using the calibration data for the digital signal. The invention adopts a software algorithm to convert peak detection voltage, and obtains average power through calculation, thereby achieving the purpose of measuring two power types of peak and average power by only using one detector and meeting the measurement precision requirement. Compared with the mode of adopting intermediate frequency direct sampling to calculate or using a mean value detector, the software algorithm has small calculated amount, can greatly reduce the complexity, the power consumption and the cost of hardware design, improves the reliability of equipment and has great practical value.

Description

Method for obtaining average power of radio frequency signal
Technical Field
The invention relates to the technical field of radio frequency microwaves, in particular to a method for obtaining average power of radio frequency signals.
Background
Radio frequency power measurements may generally be implemented with a spectrum analyzer or a power meter. Spectrum analyzers typically calculate power by directly sampling the intermediate frequency signal. Because the intermediate frequency signal frequency of the superheterodyne receiver is generally higher, the working frequency of the processor such as the ADC (analog-digital converter) for sampling and the FPGA (field programmable array) or DSP (digital processor) for subsequent processing is often higher, resulting in great design difficulty and power consumption and high cost.
The power meter may measure power by means of a pickup or thermocouple. In contrast, the frequency of the detected output voltage is much lower than that of the intermediate frequency signal, so that a low-speed ADC and a simple processor (such as a single chip microcomputer) are sufficient.
The detection requires a power detector. From an application perspective, the power detectors can be classified into logarithmic detectors, root mean square detectors, peak envelope detectors. The three detectors have advantages and disadvantages: logarithmic detectors respond faster and have a large dynamic range, but suffer from peak-to-average ratio. The root mean square detector is not affected by the peak-to-average ratio of the modulation signal, but the response speed is slower because the root mean square detector needs to perform time averaging, the accuracy of the root mean square detector on low input power is not high, and the dynamic range is small; the peak envelope detector has extremely fast response speed but a small dynamic range.
Generally, in design, different detection chips need to be selected to perform circuit design according to user requirements or signal types (continuous signals or pulse signals). When the signal types are more, for example, the continuous signal power is measured and the pulse signal power is measured, two circuits of the average value detector and the peak envelope detector are designed in the circuit, and meanwhile, auxiliary circuits such as a switch are needed to be used for switching. Which tends to increase circuit complexity, power consumption and cost.
Disclosure of Invention
The invention aims to provide a method for solving the average power of a radio frequency signal, which solves the problems of high circuit complexity, high power consumption and high cost in the existing mode of adopting intermediate frequency direct sampling for calculation or using a mean value detector.
The invention provides a method for solving the average power of a radio frequency signal, which comprises the following steps:
s10, detecting an input signal to obtain a detected signal; the input signal is a radio frequency signal;
s20, filtering the detection signal;
s30, converting the filtered detection signal from an analog signal to a digital signal;
s40, the average power of the radio frequency signal is obtained based on the digital signal.
Further, in step S20, when filtering the detection signal, different filter bandwidths can be switched.
Further, the calibration data includes a correspondence between a detected voltage of the input signal and an instantaneous power.
Further, the calibration data is obtained by the following method:
and calibrating the adopted hardware platform by using a standard instrument, thereby obtaining and storing calibration data.
Further, step S40 includes the following sub-steps:
s41, obtaining peak detection voltage at sampling time from the digital signal;
s42, calculating the instantaneous power of the input signal corresponding to the peak detection voltage at the sampling time by using the calibration data;
s43, calculating an instantaneous voltage square value of an input signal based on instantaneous power, and forming a sample set by setting integration time to the calculated instantaneous voltage square value;
s44, calculating square value of root mean square voltage of the input signal in one sample set;
s45, calculating the average power of the input signal according to the square value of the root mean square voltage.
Preferably, in step S41, the acquired peak detection voltage needs to be filtered.
Further, in step S43, the formula for calculating the square value of the instantaneous voltage of the input signal is:
Figure BDA0004129175950000031
wherein P is in, Representing the instantaneous power of the input signal at the sampling instant; v (V) in. Representing the instantaneous voltage of the input signal; k is the instantaneous voltage sequence number, k=1, 2,3 … N, N is the sample number.
Further, in step S44, the formula for calculating the square value of the root mean square voltage of the input signal is:
Figure BDA0004129175950000032
wherein V is rms Is the root mean square voltage of the input signal.
Further, in step S45, the formula for calculating the average power of the input signal is:
Figure BDA0004129175950000033
wherein P is rms Is the average power of the input signal.
Preferably, the integration time is more than or equal to 10 times of the modulation signal period.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
the invention adopts a software algorithm to convert peak detection voltage, and obtains average power through calculation, thereby achieving the purpose of measuring two power types of peak and average power by only using one detector and meeting the measurement precision requirement.
Compared with the mode of adopting intermediate frequency direct sampling to calculate or using a mean value detector, the software algorithm has small calculated amount, can greatly reduce the complexity, the power consumption and the cost of hardware design, improves the reliability of equipment and has great practical value.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly describe the drawings in the embodiments, it being understood that the following drawings only illustrate some embodiments of the present invention and should not be considered as limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a hardware platform structure of a method for obtaining an average power of a radio frequency signal according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for obtaining average power of a radio frequency signal according to an embodiment of the present invention.
Fig. 3 is a flowchart of determining an average power of a radio frequency signal according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
Fig. 1 shows a hardware platform for implementing a method for obtaining average power of a radio frequency signal in this embodiment, which includes a logarithmic detector, a filter circuit, an ADC converter, and a single chip microcomputer connected in sequence.
Thus, as shown in fig. 2, the method for obtaining the average power of the radio frequency signal includes the following steps:
s10, detecting an input signal by a logarithmic detector to obtain a detected signal; the input signal is a radio frequency signal;
s20, a filter circuit filters the detection signal; when filtering the detection signal, the adopted filter circuit can realize the switching of different filter bandwidths.
S30, converting the filtered detection signal from an analog signal to a digital signal by the ADC; the ADC converter can be controlled by a singlechip.
S40, the singlechip calculates the average power of the radio frequency signals by using the calibration data for the digital signals output by the ADC. Wherein the calibration data comprises the corresponding relation between the detection voltage of the input signal and the instantaneous power; the calibration data is obtained by the following method:
and calibrating the adopted hardware platform by using a standard instrument, thereby obtaining and storing calibration data. After calibration, errors caused by a hardware platform (such as a logarithmic detector, a filter circuit, an ADC (analog to digital converter) and a singlechip adopted in the embodiment) can be eliminated. And the traceability of the calibration data can be ensured by storing the calibration data.
Thus, as shown in fig. 3, step S40 specifically includes the following sub-steps:
s41, obtaining peak detection voltage V at sampling time from the digital signal L,k The method comprises the steps of carrying out a first treatment on the surface of the The obtained peak detection voltage V L,k Filtering can be performed, mainly to remove data with larger deviation from the actual value, so as to avoid interference to normal data. Where k is the instantaneous voltage sequence number, k=1, 2,3 … N, N is the sample number.
S42, calculating the (filtered) peak detection voltage V at the sampling time by using the calibration data because the calibration data includes the correspondence between the detection voltage of the input signal and the instantaneous power L,k Instantaneous power P of corresponding input signal in, ；
S43, based on instantaneous power P in, Calculating the instantaneous voltage square value V of the input signal in. 2 And the calculated instantaneous voltage square value V is calculated by setting the integration time in. 2 Forming a sample set; wherein:
calculating the instantaneous voltage square value V of the input signal in. 2 The formula of (2) is:
Figure BDA0004129175950000051
further, the size of the sample set is determined by the integration time, which is an adjustable parameter (for a relatively fixed application, a default value is directly used), and in order to achieve both the test accuracy and the speed, the integration time is preferably selected to be equal to or greater than 10 times the modulation signal period.
S44, calculating the square value V of the root mean square voltage of the input signal in one sample set rms 2 The calculation formula is as follows:
Figure BDA0004129175950000052
s45, according to square value V of root mean square voltage rms 2 Calculating average power P of input signal rms The calculation formula is as follows:
Figure BDA0004129175950000053
the hardware platform is used for realizing the method for obtaining the average power of the radio frequency signals, and testing is carried out. The logarithmic detector is calibrated by using a standard signal source E4438C which is De-tech, the calibration frequency range is 110-170 MHz, the frequency is stepped by 2MHz, the power range is-5 to-45 dBm, and the power is stepped by 5dB. After calibration, testing was performed, and three modulation signals of AM, FM and QPSK were output with E4438C. Wherein, AM signal and FM signal are analog modulation, QPSK signal is digital modulation; the AM signal and the QPSK signal are variable envelope signals, and the FM signal is a constant envelope signal. The modulation degree of the AM signal is 80%, and the modulation frequency is 1kHz; the modulation frequency of the FM signal is 1kHz, and the modulation depth is 5kHz; the symbol rate of the QPSK signal is 24.3kbps. The integration time is set to 10ms and 5ms respectively, the signals are tested by using the channel power function of the spectrum analyzer N9020A which is De-tech and are used as reference values, and the test result of the invention is compared with the reference values. The test parameters and results are shown in tables 1 to 4.
Table 1, am modulation test parameters and results:
Figure BDA0004129175950000061
table 2, fm modulation test parameters and results:
Figure BDA0004129175950000062
Figure BDA0004129175950000071
table 3, qpsk modulation test parameters and results:
Figure BDA0004129175950000072
table 4, am modulation test parameters and results:
Figure BDA0004129175950000073
from the above test data, the test error of the constant envelope signal is smaller than that of the variable envelope signal, and the longer the integration time, the smaller the error. In the whole, the error between the calculated result of the method for calculating the average power of the radio frequency signal and the reference value is less than +/-0.5 dB, so that the use requirement is met, and the algorithm is proved to be effective.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The method for obtaining the average power of the radio frequency signal is characterized by comprising the following steps:
s10, detecting an input signal to obtain a detected signal; the input signal is a radio frequency signal;
s20, filtering the detection signal;
s30, converting the filtered detection signal from an analog signal to a digital signal;
s40, the average power of the radio frequency signal is obtained by using the calibration data for the digital signal.
2. The method according to claim 1, wherein in step S20, different filter bandwidths can be switched when filtering the detection signal.
3. The method according to claim 1, wherein the calibration data includes a correspondence between a detected voltage of the input signal and an instantaneous power.
4. A method for determining an average power of a radio frequency signal according to claim 3, wherein the calibration data is obtained by:
and calibrating the adopted hardware platform by using a standard instrument, thereby obtaining and storing calibration data.
5. A method for determining the average power of a radio frequency signal according to claim 3, wherein the step S40 comprises the sub-steps of:
s41, obtaining peak detection voltage at sampling time from the digital signal;
s42, calculating the instantaneous power of the input signal corresponding to the peak detection voltage at the sampling time by using the calibration data;
s43, calculating an instantaneous voltage square value of an input signal based on instantaneous power, and forming a sample set by setting integration time to the calculated instantaneous voltage square value;
s44, calculating square value of root mean square voltage of the input signal in one sample set;
s45, calculating the average power of the input signal according to the square value of the root mean square voltage.
6. The method according to claim 5, wherein in step S41, the obtained peak detection voltage is filtered.
7. The method of claim 5, wherein in step S43, the formula for calculating the square value of the instantaneous voltage of the input signal is:
Figure FDA0004129175940000021
wherein P is in，k Representing the instantaneous power of the input signal at the sampling instant; v (V) in.k Representing the instantaneous voltage of the input signal; k is the instantaneous voltage sequence number, k=1, 2, 3..n, N is the sample number.
8. The method of claim 7, wherein in step S44, the formula for calculating the square value of the root mean square voltage of the input signal is:
Figure FDA0004129175940000022
wherein V is rms Is the root mean square voltage of the input signal.
9. The method according to claim 8, wherein in step S45, the formula for calculating the average power of the input signal is:
Figure FDA0004129175940000023
wherein P is rms Is the average power of the input signal.
10. The method for obtaining the average power of a radio frequency signal according to any one of claims 5 to 9, wherein the integration time is equal to or more than 10 times the modulation signal period.
CN202310254720.XA 2023-03-16 2023-03-16 Method for obtaining average power of radio frequency signal Pending CN116405135A (en)

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