Modulation parameter adjusting method

Abstract

The invention discloses a modulation parameter adjustment method, relates to the technical field of frequency modulation, and aims to solve the problem that the communication quality and reliability of a communication system are affected due to poor modulation accuracy of the frequency of the communication system. Comprising the steps that signal quality information, channel capacity and environment information are collected, the signal quality information comprises the signal-to-noise ratio, the bit error rate and the frequency offset, and the environment information comprises the environment temperature value, the environment humidity value and the electromagnetic interference frequency; determining the channel quality according to the signal-to-noise ratio, the bit error rate, the frequency offset and the channel capacity; comparing the environment information with standard environment information to obtain a comparison result, and determining whether the environment information affects channel quality according to the comparison result; if it is determined that the environmental information affects the channel quality, determining an influence parameter according to the environmental information, and determining a channel evaluation parameter through the influence parameter and the channel quality; and determining whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter.

Description

Technical Field

[0001] The present application relates to the technical field of frequency modulation, and in particular to a method for adjusting modulation parameters. Background Art

[0002] With the wide application of sensors in fields such as agriculture, environmental monitoring, and industrial monitoring, how to improve the communication quality and reliability of sensors has become the focus of research. Sensors usually perform wireless data transmission with external devices, and their communication quality is affected by multiple factors (such as signal attenuation, interference, environmental changes, etc.). In order to ensure that sensors can still maintain stable communication performance in different working environments, it is crucial to adopt appropriate communication modulation techniques.

[0003] Currently, modulating the frequency of sensors based on fixed modulation parameters lacks the ability to dynamically adapt to environmental changes and channel states, resulting in possible quality attenuation or data loss of signals under different working conditions. Therefore, the accuracy of current frequency modulation of sensors is poor, which affects the communication quality and reliability of sensors. Summary of the Invention

[0004] The purpose of the present application is to provide a method for adjusting modulation parameters, aiming to solve the problem that the accuracy of modulating the frequency of a communication system is poor, which affects the communication quality and reliability of the communication system.

[0005] To achieve the above object, the present application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a method for adjusting modulation parameters, including:

[0007] Collect signal quality information, channel capacity, and environmental information. The signal quality information includes: signal-to-noise ratio, bit error rate, and frequency offset. The environmental information includes: environmental temperature value, environmental humidity value, and electromagnetic interference frequency;

[0008] Determine the channel quality according to the signal-to-noise ratio, bit error rate, frequency offset, and channel capacity;

[0009] Compare the environmental information with the standard environmental information to obtain a comparison result, and determine whether the environmental information affects the channel quality according to the comparison result;

[0010] If it is determined that the environmental information affects the channel quality, determine the influencing parameter according to the environmental information, and determine the channel evaluation parameter through the influencing parameter and the channel quality;

[0011] Determine whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter.

[0012] The modulation parameter adjustment method provided by the embodiments of the present application realizes adaptive frequency modulation in device communication by comprehensively considering signal quality information, channel capacity, and environmental information. By collecting and analyzing signal quality indicators such as signal-to-noise ratio, bit error rate, and frequency offset, the reliability of the current signal can be reflected in real time, ensuring that the communication system maintains optimal performance in different environments. By comparing environmental information (such as temperature, humidity, electromagnetic interference frequency) with standard thresholds, the impact of environmental changes on channel quality can be judged, thereby effectively avoiding interference from environmental factors on communication quality. Thus, when it is determined that environmental information does affect channel quality, the influencing parameters can be determined according to environmental changes, and channel evaluation parameters can be determined based on the influencing parameters and channel quality. Furthermore, whether to adjust the carrier frequency modulation parameters is determined according to the channel evaluation parameters.

[0013] In this way, the present application improves the adaptive ability of the communication system in complex and dynamic environments by dynamically adjusting the carrier frequency, ensuring more efficient and stable signal transmission, thereby improving the overall performance of the communication system, enabling the communication system to flexibly adapt to different working environments. Thus, the accuracy of modulating the frequency of the communication system is improved, and the communication quality and reliability of the communication system are enhanced.

[0014] In some embodiments, the method further includes:

[0015] If it is determined to adjust the carrier frequency modulation parameters, the carrier frequency modulation parameters are adjusted according to the channel evaluation parameters and the signal transmission distance, and the carrier frequency modulation parameters satisfy the following formula;

[0016] f1 = f0 * (1 - d1 - d2)

[0017] Wherein, f1 represents the adjusted carrier frequency modulation parameter, f0 represents the carrier frequency modulation parameter before adjustment, d1 represents the adjustment coefficient of the channel evaluation parameter, the value range of d1 is 0 - 0.5, and d2 represents the adjustment coefficient of the signal transmission distance, the value range of d2 is 0 - 0.3.

[0018] In some embodiments, determining the channel quality according to the signal-to-noise ratio, bit error rate, frequency offset, and channel capacity includes:

[0019] Determining a signal quality evaluation parameter according to the signal-to-noise ratio, bit error rate, and frequency offset, determining a channel capacity evaluation parameter according to the channel capacity, and determining the channel quality according to the signal quality evaluation parameter and the channel capacity evaluation parameter, and the channel quality satisfies the following formula;

[0020] Q = Z x *w1 + Z c *w2

[0021] Wherein, Q represents the channel quality, Z xZ represents the signal quality evaluation parameter, w1 represents the weight coefficient of the signal quality evaluation parameter c Z represents the channel capacity evaluation parameter, w2 represents the weight coefficient of the channel capacity evaluation parameter, and the value ranges of both w1 and w2 are 0 - 1, and w1 + w2 = 1.

[0022] In some embodiments, determining the signal quality evaluation parameter according to the signal-to-noise ratio, bit error rate, and frequency offset includes:

[0023] Setting the minimum signal-to-noise ratio, the maximum bit error rate, and the maximum frequency offset, and determining the signal quality evaluation parameter according to the signal-to-noise ratio, bit error rate, and frequency offset through the following formula;

[0024]

[0025] where Z x represents the signal quality evaluation parameter, a represents the weight coefficient of the signal-to-noise ratio, SNR min represents the minimum signal-to-noise ratio, SNR represents the signal-to-noise ratio, b represents the weight coefficient of the bit error rate, BER max represents the maximum bit error rate, BER represents the bit error rate, c represents the weight coefficient of the frequency offset, ΔF max represents the maximum frequency offset, ΔF represents the frequency offset, and the value ranges of a, b, and c are all 0 - 1, and a + b + c = 1.

[0026] In some embodiments, determining the channel capacity evaluation parameter according to the channel capacity includes:

[0027] Setting the maximum channel capacity, and determining the channel capacity evaluation parameter according to the channel capacity through the following formula;

[0028]

[0029] where Z c represents the channel capacity evaluation parameter, C represents the channel capacity, C max represents the maximum channel capacity.

[0030] In some embodiments, comparing the environmental information with the standard environmental information to obtain a comparison result, and determining whether the environmental information affects the channel quality according to the comparison result includes:

[0031] Collecting the center frequency of the communication signal and determining the overlap rate between the electromagnetic interference frequency and the center frequency;

[0032] Setting the maximum temperature, the maximum humidity, and the maximum overlap rate;

[0033] If the ambient temperature value is less than or equal to the temperature maximum value, the ambient humidity value is less than or equal to the humidity maximum value, and the overlap rate is less than or equal to the overlap rate maximum value, it is determined that the environmental information does not affect the channel quality;

[0034] Otherwise, it is determined that the environmental information affects the channel quality.

[0035] In some embodiments, the influence parameter satisfies the following formula:

[0036]

[0037] Wherein, H represents the influence parameter, α represents the weight coefficient of the ambient temperature value, T max represents the temperature maximum value, T represents the ambient temperature value, β represents the weight coefficient of the ambient humidity value, S max represents the humidity maximum value, S represents the ambient humidity value, γ represents the weight coefficient of the overlap rate, D max represents the overlap rate maximum value, D represents the overlap rate, and the value ranges of α, β, and γ are all 0 - 1, and α + β + γ = 1.

[0038] In some embodiments, the overlap rate satisfies the following formula:

[0039]

[0040] Wherein, D represents the overlap rate, fz represents the center frequency, fd represents the electromagnetic interference frequency, and B represents the bandwidth of the communication signal.

[0041] In some embodiments, the channel evaluation parameter satisfies the following formula:

[0042] P = Q * w3

[0043] Wherein, P represents obtaining the channel evaluation parameter, Q represents the channel quality, w3 represents the adjustment coefficient of the influence parameter, and the value range of w3 is 1 - 1.5.

[0044] In some embodiments, determining whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter includes:

[0045] Set the evaluation minimum value. If the channel evaluation parameter is greater than the evaluation minimum value, it is determined not to adjust the carrier frequency modulation parameter;

[0046] If the channel evaluation parameter is less than or equal to the evaluation minimum value, it is determined to adjust the carrier frequency modulation parameter.

[0047] In a second aspect, the present application provides a modulation parameter adjustment device, including:

[0048] An acquisition module is configured to acquire signal quality information, channel capacity, and environmental information. The signal quality information includes signal-to-noise ratio, bit error rate, and frequency offset. The environmental information includes ambient temperature, ambient humidity, and electromagnetic interference frequency.

[0049] a processing module configured to determine channel quality based on a signal-to-noise ratio, a bit error rate, a frequency offset, and a channel capacity;

[0050] The processing module is further configured to compare the environmental information with the standard environmental information to obtain a comparison result, and determine whether the environmental information affects the channel quality according to the comparison result;

[0051] The processing module is further configured to, if it is determined that the environmental information affects the channel quality, determine an impact parameter based on the environmental information, and determine a channel assessment parameter based on the impact parameter and the channel quality;

[0052] The processing module is further configured to determine whether to adjust the carrier frequency modulation parameters according to the channel evaluation parameters.

[0053] In a third aspect, the present application provides a modulation parameter adjustment device, comprising: a processor and a memory; wherein the memory is used to store one or more programs, and the one or more programs include computer execution instructions. When the modulation parameter adjustment device is running, the processor executes the computer execution instructions stored in the memory to enable the modulation parameter adjustment device to perform the modulation parameter adjustment method of the first aspect.

[0054] The modulation parameter adjustment device can be a network device (electronic device) or a component of a network device, such as a system-on-chip (SoC) within the network device. The SoC is used to support the network device in implementing the functions described in any of the above-described possible implementations, such as data collection, processing, correction, prediction, or early warning. The SoC includes a chip and may also include other discrete components or circuit structures.

[0055] In a fourth aspect, the present application provides a computer-readable storage medium. When the computer-executable instructions stored in the computer-readable storage medium are executed by a processor of a modulation parameter adjustment device, the modulation parameter adjustment device can perform the modulation parameter adjustment method of the first aspect.

[0056] In a fifth aspect, the present application provides a computer program product, which includes: a computer program or instructions, which, when the computer program or instructions are run on a computer, enable the computer to execute the modulation parameter adjustment method of the first aspect.

[0057] It should be noted that the above computer programs or instructions can be stored in whole or in part on a computer-readable storage medium. Among them, the computer-readable storage medium can be packaged together with the processor of the modulation parameter adjustment device, or separately packaged from the processor of the modulation parameter adjustment device. The embodiments of the present application do not make any limitations in this regard.

[0058] For the descriptions of the second aspect, the third aspect, the fourth aspect, and the fifth aspect in this application, reference may be made to the detailed description of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0060] Figure 1 It is a flowchart of a modulation parameter adjustment method provided by an embodiment of the present application;

[0061] Figure 2 It is a schematic structural diagram of a modulation parameter adjustment device provided by an embodiment of the present application;

[0062] Figure 3 It is a schematic structural diagram of a modulation parameter adjustment device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of them. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present application.

[0064] In the description of the present application, it should be understood that the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "plurality" is two or more.

[0065] In the embodiments of the present application, the terms "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, article, or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of other identical elements in the process, article, or device comprising the element.

[0066] In the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0067] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments in this application and the features described in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0068] Building on the issues outlined in the background, channel quality is typically evaluated using a comprehensive approach based on factors such as signal-to-noise ratio (SNR), bit error rate (BER), frequency offset, and channel capacity. These parameters reflect signal strength, transmission reliability, and the availability of communication bandwidth. Environmental factors, such as temperature, humidity, and electromagnetic interference frequency, can also affect the propagation characteristics of wireless signals, thereby impacting channel quality. Especially in complex or extreme environments, these environmental changes can lead to significant fluctuations in signal quality, and traditional methods are unable to effectively address these changes.

[0069] Traditional frequency modulation methods usually adopt fixed modulation parameters and lack the ability to dynamically adapt to channel conditions and environmental changes. This may lead to signal quality degradation or data loss under different working conditions. Channel quality is usually measured by comprehensively evaluating parameters such as signal-to-noise ratio, bit error rate, frequency offset, and channel capacity, which reflect the signal strength, transmission reliability, and the effectiveness of communication bandwidth. In addition, environmental factors such as temperature, humidity, and electromagnetic interference frequency also affect the propagation characteristics of wireless signals, thus affecting channel quality. Especially in complex or extreme environmental conditions, environmental changes may cause large fluctuations in signal quality, and traditional methods are difficult to effectively cope with these changes.

[0070] Therefore, it is necessary to provide a modulation parameter adjustment method to solve the problem of how to dynamically adjust the modulation parameters of a communication system according to the changes in signal quality information and environmental factors.

[0071] To this end, the present application provides a modulation parameter adjustment method, which realizes adaptive frequency modulation in device communication by comprehensively considering signal quality information, channel capacity, and environmental information. By collecting and analyzing signal quality indicators such as signal-to-noise ratio, bit error rate, and frequency offset, the reliability of the current signal can be reflected in real time, ensuring that the communication system maintains the best performance in different environments. By comparing environmental information (such as temperature, humidity, electromagnetic interference frequency) with standard thresholds, the impact of environmental changes on channel quality can be judged, thus effectively avoiding the interference of environmental factors on communication quality. Thus, when it is determined that the environmental information does affect the channel quality, the influencing parameters can be determined according to the environmental changes, and the channel evaluation parameters can be determined through the influencing parameters and the channel quality. Furthermore, whether to adjust the carrier frequency modulation parameters is determined according to the channel evaluation parameters.

[0072] In this way, the present application improves the adaptive ability of the communication system in complex and dynamic environments by dynamically adjusting the carrier frequency, ensuring more efficient and stable signal transmission, thereby improving the overall performance of the communication system, enabling the communication system to flexibly adapt to different working environments. Thus, the accuracy of modulating the frequency of the communication system is improved, and the communication quality and reliability of the communication system are enhanced.

[0073] The following will introduce in detail the modulation parameter adjustment method provided by the embodiments of the present application with reference to the accompanying drawings. The modulation parameter adjustment method provided by the embodiments of the present application can be applied to wireless passive sensors, and of course, it can also be applied to other devices or communication systems, and the present application does not limit this.

[0074] The embodiments of the present application provide a modulation parameter adjustment method, as Figure 1 shown, the modulation parameter adjustment method includes:

[0075] S101. Collect signal quality information, channel capacity, and environmental information.

[0076] Among them, the signal quality information includes: signal-to-noise ratio, bit error rate, and frequency offset. The environmental information includes: environmental temperature value, environmental humidity value, and electromagnetic interference frequency.

[0077] S102. Determine the channel quality according to the signal-to-noise ratio, bit error rate, frequency offset, and channel capacity.

[0078] In some embodiments of the present application, the above-mentioned determining the channel quality according to the signal-to-noise ratio, bit error rate, frequency offset, and channel capacity includes:

[0079] Determine the signal quality evaluation parameter according to the signal-to-noise ratio, bit error rate, and frequency offset, determine the channel capacity evaluation parameter according to the channel capacity, and determine the channel quality according to the signal quality evaluation parameter and the channel capacity evaluation parameter. The channel quality satisfies the following formula (Formula 1).

[0080] Q = Z x *w1 + Z c *w2 Formula 1

[0081] Among them, Q represents the channel quality, Z x represents the signal quality evaluation parameter, w1 represents the weight coefficient of the signal quality evaluation parameter, Z c represents the channel capacity evaluation parameter, w2 represents the weight coefficient of the channel capacity evaluation parameter. The value ranges of w1 and w2 are both 0 - 1, and w1 + w2 = 1.

[0082] It should be noted that by comprehensively considering the signal quality evaluation parameter and the channel capacity evaluation parameter, the present application can calculate the channel quality of the current channel more accurately and optimize the communication performance. In practical applications, the quality of wireless communication is affected by various factors, especially the signal strength (signal-to-noise ratio), transmission reliability (bit error rate), and frequency offset (frequency offset). Therefore, considering these factors alone may not fully reflect the channel quality. Therefore, the present application introduces the signal quality evaluation parameter and the channel capacity evaluation parameter, and combines the influences of the two through a weighted method to obtain a more accurate channel quality.

[0083] Optionally, by given weight coefficients w1 and w2, the contributions (influences) of signal quality and channel capacity to the channel quality assessment can be flexibly adjusted. Specifically, the signal quality assessment parameter reflects the quality and reliability of transmission, while the channel capacity assessment parameter takes into account the bandwidth and maximum transmission capacity of the channel. The settings of the weight coefficients w1 and w2 can be optimized according to different communication environments or application scenarios. This flexible weight adjustment mechanism not only enhances the adaptability of the system, but also improves the accuracy of the channel quality assessment, provides more robust technical support for the adaptive frequency modulation of wireless passive sensors, and thus optimizes the communication effect and system performance.

[0084] In some embodiments of the present application, determining the signal quality assessment parameter according to the signal-to-noise ratio, bit error rate, and frequency offset amount includes:

[0085] Set the minimum signal-to-noise ratio, maximum bit error rate, and maximum frequency offset amount, and determine the signal quality assessment parameter according to the signal-to-noise ratio, bit error rate, and frequency offset amount through the following formula (Formula 2);

[0086]

[0087] where, Z x represents the signal quality assessment parameter, a represents the weight coefficient of the signal-to-noise ratio, SNR min represents the minimum signal-to-noise ratio, SNR represents the signal-to-noise ratio, b represents the weight coefficient of the bit error rate, BER max represents the maximum bit error rate, BER represents the bit error rate, c represents the weight coefficient of the frequency offset amount, ΔF max represents the maximum frequency offset amount, ΔF represents the frequency offset amount, and the value ranges of a, b, and c are all 0-1, and a + b + c = 1.

[0088] It can be understood that the calculation formula (Formula 2) of the signal quality assessment parameter of the present application comprehensively considers three key parameters: signal-to-noise ratio (SNR), bit error rate (BER), and frequency offset amount (ΔF), and realizes a comprehensive assessment of the signal quality.

[0089] It should be noted that in wireless communication, the quality of the signal directly affects the reliability and stability of communication. The signal-to-noise ratio reflects the ratio of the signal to the noise, the bit error rate represents the accuracy of data transmission, and the frequency offset amount affects the stability and accuracy of the signal. Therefore, a single factor cannot comprehensively measure the channel quality, and the evaluation combining multiple parameters can more accurately reflect the current communication state.

[0090] Optionally, by setting the minimum signal-to-noise ratio, the maximum bit error rate, and the maximum frequency offset, and calculating based on the differences between these reference values (the minimum signal-to-noise ratio, the maximum bit error rate, and the maximum frequency offset) and the current parameters (signal-to-noise ratio, bit error rate, and frequency offset), the signal quality can be flexibly evaluated. When the SNR, BER, and ΔF are close to their ideal values (reference values), the signal quality is good and the signal quality evaluation parameter is high; while when these parameters deviate from the ideal values, the signal quality evaluation parameter will decrease accordingly, reflecting the degradation of the signal quality.

[0091] Optionally, the design of the weight coefficients a, b, and c provides a flexible adjustment mechanism, enabling the impacts of the signal-to-noise ratio, bit error rate, and frequency offset on the signal quality to be adjusted according to actual requirements. By adjusting these weight coefficients, the signal quality evaluation parameter can be optimized in different environments, enhancing the adaptability and robustness of the communication system.

[0092] In some embodiments of the present application, the determination of the channel capacity evaluation parameter based on the channel capacity includes:

[0093] Set the maximum channel capacity, and determine the channel capacity evaluation parameter according to the channel capacity through the following formula (Formula Three);

[0094]

[0095] where, Z c represents the channel capacity evaluation parameter, C represents the channel capacity, and C max represents the maximum channel capacity.

[0096] It can be understood that the calculation formula of this channel capacity evaluation parameter realizes the standardized evaluation of the channel capacity by calculating the ratio of the current channel capacity C to the maximum channel capacity C max .

[0097] It should be noted that the channel capacity is a measure of the maximum amount of data that a communication system can transmit under given conditions, and it directly affects the data transmission rate and system performance. By comparing the current channel capacity with the maximum channel capacity, the capacity evaluation under different channel conditions becomes comparable.

[0098] In this way, the present application can flexibly reflect the current channel transmission capacity according to the ratio of the actual channel capacity to the theoretical maximum channel capacity, ensuring that parameters can be adjusted according to the real-time channel state to optimize the communication performance. In addition, Formula Three is simple and easy to understand, with high calculation efficiency, and can quickly and accurately evaluate the available capacity of the channel in a dynamically changing wireless communication environment, providing basic data for adaptive modulation and other optimization measures.

[0099] S103. Compare the environmental information with the standard environmental information to obtain a comparison result, and determine whether the environmental information affects the channel quality according to the comparison result.

[0100] In some embodiments of the present application, the above-mentioned comparing the environmental information with the standard environmental information to obtain a comparison result, and determining whether the environmental information affects the channel quality according to the comparison result includes:

[0101] Collect the center frequency of the communication signal and determine the overlap rate between the electromagnetic interference frequency and the center frequency.

[0102] Set the maximum temperature, the maximum humidity, and the maximum overlap rate.

[0103] If the environmental temperature value is less than or equal to the maximum temperature, the environmental humidity value is less than or equal to the maximum humidity, and the overlap rate is less than or equal to the maximum overlap rate, it is determined that the environmental information does not affect the channel quality.

[0104] Otherwise, it is determined that the environmental information affects the channel quality.

[0105] It can be understood that by comparing the environmental information with the standard threshold (i.e., the standard environmental information), the present application can effectively judge the influence of environmental factors on the channel quality. Specifically, by collecting the center frequency of the communication signal and calculating the overlap rate between the electromagnetic interference frequency and the center frequency, the potential influence of electromagnetic interference on signal transmission can be evaluated.

[0106] It should be noted that the overlap rate between the electromagnetic interference frequency and the signal frequency (i.e., the center frequency) is an important indicator to measure the interference intensity. An excessively high overlap rate may cause signal attenuation or distortion.

[0107] Optionally, by setting the maximum temperature, the maximum humidity, and the maximum overlap rate as thresholds, it is possible to clearly define which factors may cause a decrease in channel quality under different environmental conditions. If the environmental temperature, the environmental humidity, and the overlap rate do not exceed the preset thresholds (the maximum temperature, the maximum humidity, and the maximum overlap rate), it is considered that the influence of environmental changes on the channel quality is small; if any one of them (the environmental temperature, the environmental humidity, and the overlap rate) exceeds the threshold, the system will determine that the environment affects the channel quality.

[0108] In this way, the present application can timely identify and quantify the influence of environmental factors on the communication channel, and automatically adjust the communication strategy according to environmental changes to ensure the stability and reliability of the system in complex or extreme environments.

[0109] In some embodiments of the present application, the overlap rate satisfies the following formula (Formula Four).

[0110]

[0111] Wherein, D represents the overlap rate, fz represents the center frequency, fd represents the electromagnetic interference frequency, and B represents the bandwidth of the communication signal.

[0112] It can be understood that by calculating the overlap rate between the electromagnetic interference frequency and the communication signal frequency (the center frequency of the communication signal), this application can effectively evaluate the impact of electromagnetic interference on signal transmission. The overlap rate reflects the spectral overlap degree between the electromagnetic interference frequency and the communication signal frequency. A higher overlap rate means that the impact of electromagnetic interference on the signal may be more significant. By considering the center frequency and bandwidth of the communication signal as well as the electromagnetic interference frequency, the matching degree between the electromagnetic interference and the signal frequency can be accurately calculated, thereby predicting possible signal attenuation or distortion.

[0113] In this way, this application provides a way to quantify the impact of electromagnetic interference, which can help the communication system consider interference factors during the design and operation processes. By real-time monitoring the overlap rate between the electromagnetic interference frequency and the signal frequency (the center frequency of the communication signal), the frequency or other communication parameters can be adaptively adjusted to reduce the impact of interference on the communication quality, thereby improving the stability and reliability of the signal, especially having significant advantages in communication applications in high-noise or complex electromagnetic environments.

[0114] S104. If it is determined that the environmental information affects the channel quality, then determine the influence parameter according to the environmental information, and determine the channel evaluation parameter through the influence parameter and the channel quality.

[0115] In some embodiments of this application, the influence parameter satisfies the following formula (Formula Five).

[0116]

[0117] Wherein, H represents the influence parameter, α represents the weight coefficient of the environmental temperature value, T max represents the maximum temperature, T represents the environmental temperature value, β represents the weight coefficient of the environmental humidity value, S max represents the maximum humidity, S represents the environmental humidity value, γ represents the weight coefficient of the overlap rate, D max represents the maximum overlap rate, D represents the overlap rate, and the value ranges of α, β, and γ are all 0 - 1, and α + β + γ = 1.

[0118] It can be understood that the calculation formula Five of the influence parameter in this application quantifies the specific impact of environmental factors on the channel quality by combining the environmental temperature, environmental humidity, and the overlap rate between the electromagnetic interference frequency and the center frequency. The weight coefficients in Formula Five enable the contribution of each environmental factor to the influence parameter to be flexibly adjusted according to actual needs.

[0119] Specifically, the greater the deviation of the ambient temperature, ambient humidity, and overlap rate, the more significant the impact on the channel quality. By standardizing the differences in these environmental factors, the degree of influence of environmental changes on the channel quality can be accurately evaluated.

[0120] Optionally, by introducing weight coefficients (α, β, γ), the temperature, humidity, and overlap rate can dynamically adjust their contributions in the calculation of the impact parameter according to the needs of the actual scenario, ensuring a more flexible and accurate evaluation.

[0121] In this way, the advantage of this application lies in its comprehensiveness and self - adaptability. It can quickly calculate the impact parameter under different environmental conditions, thereby providing a basis for subsequent adjustment of communication modulation parameters. Through this calculation method, it can monitor and respond to environmental changes in real - time, ensuring that the communication quality is not greatly affected in harsh or variable environments. By flexibly adjusting the weight coefficients, the performance of the communication system can also be optimized in different application scenarios, enhancing the stability and robustness of the communication system.

[0122] In some embodiments of this application, the channel evaluation parameter satisfies the following formula (Formula Six).

[0123] P = Q * w3 Formula Six

[0124] Wherein, P represents the obtained channel evaluation parameter, Q represents the channel quality, w3 represents the adjustment coefficient of the impact parameter, and the value range of w3 is 1 - 1.5.

[0125] It can be understood that by introducing the adjustment coefficient of the impact parameter, a dynamic adjustment mechanism is provided for the channel quality. The impact parameter reflects the influence of environmental factors on the channel quality, and the adjustment coefficient of the impact parameter weights and adjusts the influence of these environmental factors, making the channel evaluation parameter more accurately reflect the actual communication environment. When the environment changes greatly, the adjustment coefficient of the impact parameter can enhance the influence of environmental factors on the channel evaluation parameter; while when the environment is relatively stable, the coefficient (the adjustment coefficient of the impact parameter) is smaller, ensuring that the channel quality evaluation will not be overly interfered by environmental fluctuations, and can dynamically adjust the channel evaluation parameter according to environmental changes, ensuring the adaptability and robustness of the communication system in different environments. By adjusting the value of the adjustment coefficient of the impact parameter, the optimization of the channel evaluation process can be achieved, enhancing the self - adaptability. Especially in complex or dynamic communication environments, the communication quality and system reliability can be effectively improved.

[0126] S105. Determine whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter.

[0127] In some embodiments of this application, determining whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter includes:

[0128] Set an evaluation minimum value. If the channel evaluation parameter is greater than the evaluation minimum value, it is determined that the carrier frequency modulation parameter will not be adjusted;

[0129] If the channel evaluation parameter is less than or equal to the evaluation minimum value, it is determined that the carrier frequency modulation parameter will be adjusted.

[0130] It can be understood that by setting the minimum threshold of the channel evaluation parameter (i.e., the evaluation minimum value), the adjustment conditions of the carrier frequency modulation parameter can be effectively controlled. When the channel evaluation parameter is higher than the preset evaluation minimum value, it indicates that the channel quality is good and the communication performance is stable. Therefore, there is no need to adjust the carrier frequency modulation parameter; while when the channel evaluation parameter is lower than or equal to this evaluation minimum value, it indicates that the channel quality is poor and may be affected by factors such as the environment or interference. Thus, it is necessary to adjust the carrier frequency modulation parameter to optimize the communication performance.

[0131] In this way, unnecessary adjustments can be reduced, the complexity and energy consumption of the system can be lowered, and at the same time, it can respond in a timely manner when the channel quality deteriorates. By adjusting the carrier frequency, the communication quality can be improved, ensuring that the system can make rapid adjustments when the channel conditions deteriorate while maintaining stable operation, enhancing adaptability and reliability.

[0132] In some embodiments of the present application, the method further includes: if it is determined to adjust the carrier frequency modulation parameter, the carrier frequency modulation parameter is adjusted according to the channel evaluation parameter and the signal transmission distance, and the carrier frequency modulation parameter satisfies the following formula (Formula Seven).

[0133] f1 = f0 * (1 - d1 - d2) Formula Seven

[0134] Wherein, f1 represents the adjusted carrier frequency modulation parameter, f0 represents the carrier frequency modulation parameter before adjustment, d1 represents the adjustment coefficient of the channel evaluation parameter, the value range of d1 is 0 - 0.5, and d2 represents the adjustment coefficient of the signal transmission distance, the value range of d2 is 0 - 0.3.

[0135] It can be understood that the present application realizes adaptive frequency modulation for devices (such as wireless passive sensors) in the communication system by comprehensively considering signal quality information, channel capacity, and environmental information. By collecting and analyzing signal quality indicators such as signal-to-noise ratio, bit error rate, and frequency offset, the reliability of the current signal can be reflected in real time, ensuring that the communication system maintains the best performance in different environments. By comparing environmental information (such as temperature, humidity, electromagnetic interference frequency) with the standard threshold (i.e., the standard environmental information), the impact of environmental changes on the channel quality can be judged, thereby effectively avoiding the interference of environmental factors on the communication quality.

[0136] Furthermore, if the environmental information indeed affects the channel quality, the influence parameter can be calculated based on the environmental changes, and the channel evaluation parameter can be adjusted to flexibly adapt to different working environments. Moreover, based on the channel evaluation parameter and the communication distance (i.e., the signal transmission distance), it is determined whether it is necessary to adjust the carrier frequency modulation parameter to ensure that the carrier frequency modulation parameter can be optimized when the signal is transmitted over a long distance or the channel quality is poor, thereby improving the stability and reliability of signal transmission.

[0137] In this way, through this adaptive modulation method, it is possible to efficiently cope with different communication environments, reduce signal loss, improve the data transmission rate and anti-interference ability, effectively extend the service life of the sensor and reduce energy consumption, and optimize the overall performance of the wireless communication system.

[0138] Optionally, by combining the channel evaluation parameter and the signal transmission distance to adjust the carrier frequency modulation parameter, it is possible to flexibly optimize the frequency setting in different communication environments. Specifically, the carrier frequency modulation parameter f1 is obtained by multiplying the original frequency f0 by an adjustment factor (1 - d1 - d2). By introducing these influence coefficients (d1 and d2), the system can dynamically adjust the frequency according to the changes in the channel quality and the communication distance (signal transmission distance) to optimize the signal transmission effect.

[0139] Optionally, the channel evaluation parameter affects the setting ranges of the adjustment coefficient d1 of the channel evaluation parameter and the adjustment coefficient d2 of the signal transmission distance (0 - 0.5 and 0 - 0.3 respectively). In this way, the flexibility and controllability of the adjustment process can be ensured. When the channel quality is poor or the transmission distance is far, the frequency will be correspondingly reduced to reduce the influence of attenuation and interference and ensure the stability and reliability of communication. The advantage of this adjustment mechanism is that by dynamically adjusting the carrier frequency, the adaptive ability of the wireless communication system in complex and dynamic environments can be improved, ensuring more efficient and stable signal transmission, thereby improving the overall performance of the communication system.

[0140] In summary, the beneficial effects of this application are as follows: By comprehensively considering the signal quality information, channel capacity, and environmental information, adaptive frequency modulation in device communication is achieved. By collecting and analyzing signal quality indicators such as signal-to-noise ratio, bit error rate, and frequency offset, the reliability of the current signal can be reflected in real time to ensure that the communication system maintains the best performance in different environments. By comparing the environmental information (such as temperature, humidity, electromagnetic interference frequency) with the standard threshold, the influence of environmental changes on the channel quality can be judged, thereby effectively avoiding the interference of environmental factors on the communication quality. Thus, when it is determined that the environmental information indeed affects the channel quality, the influence parameter can be determined according to the environmental changes, and the channel evaluation parameter can be determined through the influence parameter and the channel quality. Furthermore, it is determined whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter.

[0141] Thus, by dynamically adjusting the carrier frequency, the present application improves the adaptive ability of the communication system in complex and dynamic environments, ensures more efficient and stable signal transmission, thereby enhancing the overall performance of the communication system, enabling the communication system to flexibly adapt to different working environments. Consequently, the accuracy of modulating the frequency of the communication system is improved, and the communication quality and reliability of the communication system are enhanced.

[0142] That is, by comprehensively considering signal quality information, channel capacity, and environmental information, the present application realizes adaptive frequency modulation in wireless passive sensor communication. First, signal quality indicators such as signal-to-noise ratio, bit error rate, and frequency offset are collected and analyzed, which can reflect the reliability of the current signal in real time and ensure that the communication system maintains optimal performance in different environments. By comparing environmental information (such as temperature, humidity, electromagnetic interference frequency) with standard thresholds, the impact of environmental changes on channel quality can be judged, thereby effectively avoiding interference from environmental factors on communication quality. If the environmental information indeed affects the channel quality, the influence parameter is calculated according to the environmental change and the channel evaluation parameter is adjusted to flexibly adapt to different working environments. Further, according to the channel evaluation parameter and the communication distance, it is judged whether it is necessary to adjust the carrier frequency modulation parameter to ensure that the frequency modulation parameter is optimized when the signal is transmitted over a long distance or the channel quality is poor, enhancing the stability and reliability of signal transmission.

[0143] Through this adaptive modulation method, different communication environments can be efficiently handled, signal loss can be reduced, data transmission rate and anti-interference ability can be improved, the service life of the sensor can be effectively extended and energy consumption can be reduced, and the overall performance of the wireless communication system can be optimized; by combining the channel evaluation parameter and the signal transmission distance to adjust the carrier frequency modulation parameter, the frequency setting can be flexibly optimized in different communication environments. By dynamically adjusting the carrier frequency, the adaptive ability of the wireless communication system in complex and dynamic environments can be improved, ensuring more efficient and stable signal transmission, thereby enhancing the overall performance of the communication system. The present application combines the signal quality evaluation parameter and the channel capacity evaluation parameter, and merges the influences of the two by weighting to calculate the channel quality parameter more accurately and optimize the wireless communication performance.

[0144] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of method. In order to realize the above functions, it includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily appreciate that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in a hardware or computer software driven hardware manner depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0145] In the embodiments of the present application, the modulation parameter adjustment device can be divided into functional modules according to the above-mentioned method examples. For example, each functional module can be divided according to each function, or two or more functions can be integrated into a processing module. The above-mentioned integrated modules can be implemented in the form of hardware or software functional modules. Optionally, the module division in the embodiments of the present application is illustrative and is only a logical functional division. In actual implementation, other division methods may be used.

[0146] like Figure 2 , which is a structural diagram of a modulation parameter adjustment device provided in an embodiment of the present application. Figure 2 The modulation parameter adjustment device shown includes: an acquisition module 201 and a processing module 202 .

[0147] Acquisition module 201 is configured to collect signal quality information, channel capacity, and environmental information. Signal quality information includes signal-to-noise ratio, bit error rate, and frequency offset. Environmental information includes ambient temperature, ambient humidity, and electromagnetic interference frequency.

[0148] The processing module 202 is configured to determine the channel quality based on the signal-to-noise ratio, the bit error rate, the frequency offset and the channel capacity;

[0149] The processing module 202 is further configured to compare the environmental information with the standard environmental information to obtain a comparison result, and determine whether the environmental information affects the channel quality based on the comparison result;

[0150] The processing module 202 is further configured to determine an impact parameter based on the environmental information if it is determined that the environmental information affects the channel quality, and determine a channel assessment parameter based on the impact parameter and the channel quality;

[0151] The processing module 202 is further configured to determine whether to adjust the carrier frequency modulation parameters according to the channel assessment parameters.

[0152] Optionally, the processing module 202 is further configured to adjust the carrier frequency modulation parameters according to the channel assessment parameters and the signal transmission distance if it is determined to adjust the carrier frequency modulation parameters, and the carrier frequency modulation parameters satisfy the above formula seven.

[0153] Optionally, the processing module 202 is specifically configured to determine a signal quality evaluation parameter based on the signal-to-noise ratio, the bit error rate, and the frequency offset, determine a channel capacity evaluation parameter based on the channel capacity, and determine the channel quality based on the signal quality evaluation parameter and the channel capacity evaluation parameter, and the channel quality satisfies the above formula 1.

[0154] Optionally, the processing module 202 is specifically configured to set a minimum signal-to-noise ratio, a maximum bit error rate, and a maximum frequency offset, and determine the signal quality evaluation parameter using the above formula 2 according to the signal-to-noise ratio, the bit error rate, and the frequency offset.

[0155] Optionally, the processing module 202 is specifically configured to set a maximum channel capacity, and determine a channel capacity evaluation parameter according to the channel capacity using the above formula three.

[0156] Optionally, the processing module 202 is specifically configured to collect the center frequency of the communication signal and determine the overlap rate between the electromagnetic interference frequency and the center frequency;

[0157] The processing module 202 is specifically configured to set a maximum temperature, a maximum humidity, and a maximum overlap rate;

[0158] The processing module 202 is specifically configured to determine that the environmental information does not affect the channel quality if the ambient temperature value is less than or equal to the maximum temperature, the ambient humidity value is less than or equal to the maximum humidity, and the overlap rate is less than or equal to the maximum overlap rate; otherwise, determine that the environmental information affects the channel quality.

[0159] Optionally, the influencing parameter satisfies the above formula 5.

[0160] Optionally, the overlap ratio satisfies the above formula 4.

[0161] Optionally, the channel assessment parameters satisfy the above formula 6.

[0162] Optionally, the processing module 202 is specifically configured to set an evaluation minimum value, and if the channel evaluation parameter is greater than the evaluation minimum value, determine not to adjust the carrier frequency modulation parameter;

[0163] The processing module 202 is specifically configured to determine to adjust the carrier frequency modulation parameter if the channel estimation parameter is less than or equal to the estimation minimum value.

[0164] like Figure 3As shown in the figure, it is a schematic structural diagram of a modulation parameter adjustment device provided by an embodiment of the present application. The modulation parameter adjustment device includes: a processor 301, a memory 302, a communication interface 303, and a bus 304. The processor 301, the memory 302, and the communication interface 303 can be connected through the bus 304.

[0165] The processor 301 is the control center of the modulation parameter adjustment device, which can be a single processor or a collective term for multiple processing elements. For example, the processor 301 can be a general-purpose central processing unit (CPU), or other general-purpose processors. Among them, the general-purpose processor can be a microprocessor or any conventional processor, etc.

[0166] As an embodiment, the processor 301 may include one or more CPUs, such as Figure 3 the CPUs 0 and 1 shown in

[0167] The memory 302 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a disk storage medium, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0168] In a possible implementation, the memory 302 can exist independently of the processor 301. The memory 302 can be connected to the processor 301 through the bus 304 for storing instructions or program codes. When the processor 301 calls and executes the instructions or program codes stored in the memory 302, the modulation parameter adjustment method provided in the following embodiments of the present application can be implemented.

[0169] In another possible implementation, the memory 302 can also be integrated with the processor 301.

[0170] A communication interface 303 is used to connect the modulation parameter adjustment device to other devices via a communication network, which can be an Ethernet, a radio access network, a wireless local area network (WLAN), etc. The communication interface 303 may include a receiving unit for receiving data and a transmitting unit for transmitting data.

[0171] A bus 304 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity of representation, Figure 3 it is only represented by a thick line in the figure, but it does not mean that there is only one bus or one type of bus.

[0172] It should be noted that Figure 3 the structure shown in the figure does not constitute a limitation on the modulation parameter adjustment device. Except Figure 3 for the components shown, the modulation parameter adjustment device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0173] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0174] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0175] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more processes and / or blocks Figure 1 in one or more processes and / or blocks Figure 1 specified in the flowchart.

[0176] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more processes and / or blocks Figure 1 in one or more processes and / or blocks Figure 1 specified in the flowchart.

[0177] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: it is still possible to modify the specific implementation manners of the present application or make equivalent replacements, and any modification or equivalent replacement that does not depart from the spirit and scope of the present application shall be covered by the protection scope of the claims of the present application.

[0178] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, and all of them should be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A modulation parameter adjustment method, characterized in that, Including: Collecting signal quality information, channel capacity, and environmental information, where the signal quality information includes: signal-to-noise ratio, bit error rate, and frequency offset, and the environmental information includes: environmental temperature value, environmental humidity value, and electromagnetic interference frequency; Determining the channel quality according to the signal-to-noise ratio, the bit error rate, the frequency offset, and the channel capacity; Comparing the environmental information with standard environmental information to obtain a comparison result, and determining whether the environmental information affects the channel quality according to the comparison result; If it is determined that the environmental information affects the channel quality, then determining an influence parameter according to the environmental information, and determining a channel evaluation parameter through the influence parameter and the channel quality; Determining whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter.

2. The modulation parameter adjustment method according to claim 1, characterized in that The method further includes: If it is determined to adjust the carrier frequency modulation parameter, then adjusting the carrier frequency modulation parameter according to the channel evaluation parameter and the signal transmission distance, and the carrier frequency modulation parameter satisfies the following formula; f1 = f0 * (1 - d1 - d2) where f1 represents the adjusted carrier frequency modulation parameter, f0 represents the carrier frequency modulation parameter before adjustment, d1 represents the adjustment coefficient of the channel evaluation parameter, the value range of d1 is 0 - 0.5, and d2 represents the adjustment coefficient of the signal transmission distance, the value range of d2 is 0 - 0.

3.

3. The modulation parameter adjustment method according to claim 1, characterized in that The determining the channel quality according to the signal-to-noise ratio, the bit error rate, the frequency offset, and the channel capacity includes: Determining a signal quality evaluation parameter according to the signal-to-noise ratio, the bit error rate, and the frequency offset, determining a channel capacity evaluation parameter according to the channel capacity, and determining the channel quality according to the signal quality evaluation parameter and the channel capacity evaluation parameter, and the channel quality satisfies the following formula; Q = Z x *w1 + Z c *w2 Among them, Q represents the channel quality, and Z x represents the signal quality evaluation parameter, w1 represents the weight coefficient of the signal quality evaluation parameter, and Z c represents the channel capacity evaluation parameter, w2 represents the weight coefficient of the channel capacity evaluation parameter. The value ranges of both w1 and w2 are 0 - 1, and w1 + w2 = 1.

4. The modulation parameter adjustment method according to claim 3, wherein The determining the signal quality evaluation parameter according to the signal-to-noise ratio, the bit error rate, and the frequency offset includes: Setting a minimum signal-to-noise ratio, a maximum bit error rate, and a maximum frequency offset, and determining the signal quality evaluation parameter according to the signal-to-noise ratio, the bit error rate, and the frequency offset through the following formula; Among them, Z x represents the signal quality evaluation parameter, a represents the weight coefficient of the signal-to-noise ratio, SNR min represents the minimum value of the signal-to-noise ratio, SNR represents the signal-to-noise ratio, b represents the weight coefficient of the bit error rate, BER max represents the maximum value of the bit error rate, BER represents the bit error rate, c represents the weight coefficient of the frequency offset, ΔF max represents the maximum value of the frequency offset, ΔF represents the frequency offset, and the value ranges of a, b, and c are all 0 - 1, and a + b + c = 1.

5. The modulation parameter adjustment method according to claim 3, wherein The determining the channel capacity evaluation parameter according to the channel capacity includes: Setting a maximum channel capacity, and determining the channel capacity evaluation parameter according to the channel capacity through the following formula; Among them, Z c represents the channel capacity evaluation parameter, C represents the channel capacity, and C max represents the maximum value of the channel capacity.

6. The modulation parameter adjustment method according to claim 1, wherein The comparing the environmental information with standard environmental information to obtain a comparison result, and determining whether the environmental information affects the channel quality according to the comparison result includes: Collecting the center frequency of the communication signal, and determining the overlap rate between the electromagnetic interference frequency and the center frequency; Setting a maximum temperature, a maximum humidity, and a maximum overlap rate; If the environmental temperature value is less than or equal to the maximum temperature, the environmental humidity value is less than or equal to the maximum humidity, and the overlap rate is less than or equal to the maximum overlap rate, then determining that the environmental information does not affect the channel quality; Otherwise, determining that the environmental information affects the channel quality.

7. The modulation parameter adjustment method according to claim 6, characterized in that, The influence parameter satisfies the following formula: Among them, H represents the influence parameter, α represents the weight coefficient of the environmental temperature value, T max represents the maximum temperature, T represents the environmental temperature value, β represents the weight coefficient of the environmental humidity value, S max represents the maximum humidity, S represents the environmental humidity value, γ represents the weight coefficient of the overlap rate, D max represents the maximum overlap rate, D represents the overlap rate, and the value ranges of α, β, and γ are all 0 - 1, and α + β + γ = 1.

8. The modulation parameter adjustment method according to claim 6, wherein The overlap rate satisfies the following formula: Wherein, D represents the overlapping rate, fz represents the center frequency, fd represents the electromagnetic interference frequency, and B represents the bandwidth of the communication signal.

9. The modulation parameter adjustment method according to claim 1, wherein The channel evaluation parameter satisfies the following formula: P = Q * w3 Wherein, P represents obtaining the channel evaluation parameter, Q represents the channel quality, w3 represents the adjustment coefficient of the influence parameter, and the value range of w3 is 1 - 1.

5.

10. The modulation parameter adjustment method according to claim 1, wherein Determining whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter includes: Setting an evaluation minimum value. If the channel evaluation parameter is greater than the evaluation minimum value, it is determined not to adjust the carrier frequency modulation parameter; If the channel evaluation parameter is less than or equal to the evaluation minimum value, it is determined to adjust the carrier frequency modulation parameter.

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