Wireless earphone signal enhancement method

Abstract

The invention provides a wireless earphone signal enhancement method, and relates to the technical field of signal transmission, and the method comprises the steps: monitoring an environment in real time based on a built-in target sensor of a target wireless earphone, and obtaining environment audio data; performing transmission influence evaluation on interference source information obtained by performing noise classification on the environment audio data to obtain interference source transmission influence; performing frequency band optimization on the target wireless earphone based on the interference source transmission influence to obtain a target signal; and performing signal transmission of the target wireless earphone according to the target signal. According to the method and the device, the technical problem that the signal transmission quality and the audio definition are influenced and the user experience is further influenced due to the fact that the noise adaptive capacity of a wireless earphone in a complex environment is insufficient in the prior art can be solved, intelligent perception and dynamic optimization management of the noise in the complex environment are realized, and the user experience is improved. The technical effects of providing stable and clear audio signal transmission in a dynamically changing environment and remarkably improving audio experience and user satisfaction are achieved.

Description

Technical Field

[0001] The present application relates to the field of signal transmission technology, and in particular to a method for enhancing wireless headset signals. Background Art

[0002] With the widespread application of wireless headphones in personal audio entertainment, sports monitoring and other fields, related technologies are constantly developing and improving. Wireless headphones usually transmit audio signals from signal sources (such as smartphones, tablets, audio equipment, etc.) to headphones through wireless communication protocols such as Bluetooth or Wi-Fi to achieve audio playback. However, although wireless headphones have made significant progress in providing a convenient and comfortable user experience, the existing technology still has some shortcomings, which limits the performance of wireless headphones in certain complex environments.

[0003] At present, existing wireless headphones have obvious deficiencies in dealing with complex environmental noise. The noise filtering technology of most headphones is still relatively basic. These technologies have weak adaptability to dynamically changing environmental noise and often rely on fixed signal transmission modes and simple spectrum management, without sufficient intelligent optimization mechanisms to deal with complex signal environments, resulting in signal quality degradation and affecting the audio experience. When multiple headphones are used at the same time, especially in multi-person scenarios such as between tour guides and tourists, the surrounding noise may interfere with the audio signal transmission of the headphones, resulting in the inability of users to clearly hear the audio content, such as the tour guide's explanation or music playback.

[0004] To sum up, there are technical problems in the existing technology due to the noise filtering technology basis, simple spectrum management and lack of intelligent optimization mechanism, which leads to insufficient noise adaptability of wireless headphones in complex environments, thereby affecting the signal transmission quality and audio clarity, and further affecting the user experience. Summary of the invention

[0005] The purpose of this application is to provide a wireless headset signal enhancement method to solve the technical problem in the prior art that the wireless headset has insufficient noise adaptability in complex environments due to the noise filtering technology basis, simple spectrum management and lack of intelligent optimization mechanism, which in turn affects the signal transmission quality and audio clarity, and further affects the user experience.

[0006] In view of the above problems, the present application provides a wireless headset signal enhancement method, including: real-time monitoring of the environment based on a target sensor built into the target wireless headset to obtain environmental audio data; performing transmission impact evaluation on interference source information obtained by noise classification of the environmental audio data to obtain the transmission impact of the interference source; optimizing the frequency band of the target wireless headset based on the transmission impact of the interference source to obtain a target signal; and transmitting the signal of the target wireless headset according to the target signal.

[0007] In a possible implementation, the wireless headset signal enhancement method includes: performing adaptive spectrum management on the target wireless headset according to the transmission influence of the interference source to obtain a target channel; if the target signal of the target channel does not meet the transmission threshold, performing a neighborhood search of the target wireless headset with a neighborhood threshold to determine a neighboring wireless headset; performing adaptive link optimization according to the neighboring wireless headset to obtain a target transmission link; and performing signal transmission according to the target transmission link to obtain the target signal.

[0008] In a possible implementation, the wireless headset signal enhancement method includes: evaluating the fullness of a real-time channel obtained based on the target wireless headset to obtain a first fullness; evaluating the fullness of a pre-jump channel obtained by pre-jumping the channel according to the target wireless headset to obtain a second fullness; and selecting the real-time channel and the pre-jump channel to obtain the target channel based on the first fullness and the second fullness.

[0009] In a possible implementation, the wireless headset signal enhancement method includes: extracting a first wireless headset among the neighboring wireless headsets that transmits with the target wireless headset according to the transmission distance; and relaying and forwarding the target source signal through the first wireless headset to obtain the target transmission link.

[0010] In a possible implementation, the wireless headset signal enhancement method includes: extracting and scoring the neighborhood wireless headset according to the transmission distance to obtain a neighborhood headset score; predicting obstacles according to the transmission quality between the neighborhood wireless headset and the target wireless headset, extracting and scoring according to the obstacle prediction result, and obtaining an obstacle-free headset score; fusing the neighborhood headset score with the obstacle-free headset score, and obtaining a first wireless headset from the neighborhood wireless headset according to the fused score.

[0011] In a possible implementation, the wireless headset signal enhancement method includes: setting a signal drop threshold; if the transmission signal between the neighborhood wireless headset and the target wireless headset meets the signal drop threshold, obtaining low transmission quality; obtaining an obstacle existence result based on the low transmission quality, and completing obstacle prediction.

[0012] In a possible implementation, the wireless headset signal enhancement method includes: monitoring the position and motion status of the target user through the target wireless headset to obtain the target user status; constructing an environment prediction model, and inputting the environment prediction model based on the target user status to predict the ambient audio to obtain predicted ambient audio; comparing and verifying the predicted ambient audio with the ambient audio data, and if the comparison result meets the comparison threshold, enhancing the volume of the predicted ambient audio and using it as the ambient audio data.

[0013] In a possible implementation, the wireless headset signal enhancement method includes: selecting a power consumption mode according to the target user state to obtain the power consumption mode; and performing intelligent sleep and wake-up of the target wireless headset according to the power consumption mode.

[0014] The technical solution provided in the present application has at least the following technical effects or advantages: obtaining environmental audio data by real-time monitoring the environment based on the target sensor built into the target wireless headset; performing transmission impact assessment on the interference source information obtained by noise classification of the environmental audio data to obtain the transmission impact of the interference source; optimizing the frequency band of the target wireless headset based on the transmission impact of the interference source to obtain the target signal; and transmitting the signal of the target wireless headset according to the target signal. That is to say, by realizing intelligent perception and dynamic optimization management of complex environmental noise, the technical effect of providing stable and clear audio signal transmission in a dynamically changing environment and significantly improving the audio experience and user satisfaction is achieved.

[0015] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0017] Figure 1 A schematic diagram of a flow chart of a wireless headset signal enhancement method for this application; Figure 2 This is a schematic diagram of a process for obtaining a target signal in a wireless headset signal enhancement method of the present application. DETAILED DESCRIPTION

[0018] This application provides a wireless headset signal enhancement method to solve the technical problem that the existing technology has insufficient noise adaptability of wireless headsets in complex environments due to the noise filtering technology foundation, simple spectrum management and lack of intelligent optimization mechanism, which in turn affects the signal transmission quality and audio clarity, and further affects the user experience. It realizes intelligent perception and dynamic optimization management of complex environmental noise, and achieves the technical effect of providing stable and clear audio signal transmission in a dynamically changing environment, significantly improving the audio experience and user satisfaction.

[0019] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0020] Please refer to the attached Figure 1 , the present application provides a wireless headset signal enhancement method, which specifically includes the following steps: Step 1: Monitor the environment in real time based on the target sensor built into the target wireless headset to obtain environmental audio data.

[0021] Specifically, the target wireless headset is a wireless headset to be signal enhanced. For example, multiple headsets of the same type as the target wireless headset and the target wireless headset may be connected to the signal source at the same time, which may be used in situations where multiple wireless headsets are connected to the same signal transmission source. The target sensor built into the target wireless headset can obtain accurate environmental audio data by monitoring the environment around the user in real time. The target sensors include accelerometers, gyroscopes, etc., which can sense the surrounding sounds, vibrations, and the user's motion status. Through the data collected by the target sensor, the target wireless headset can obtain environmental audio data in real time, thereby responding quickly to different environments, ensuring that the target wireless headset can adapt to changes in environmental noise and provide a clearer and more comfortable audio experience.

[0022] Step 2: Perform transmission impact assessment on the interference source information obtained by performing noise classification on the environmental audio data to obtain the transmission impact of the interference source.

[0023] Specifically, by analyzing the ambient audio signals collected by the target wireless headset, different types of noise are identified, such as traffic noise, human voice or mechanical noise. The process of noise classification involves analyzing the frequency, amplitude, duration and other characteristics of the audio signal to determine the type of noise source. Afterwards, the interference source information will be used for transmission impact assessment to evaluate the impact on the audio transmission quality, that is, to analyze whether the noise will interfere with the clarity or stability of the headset audio signal. For example, traffic noise may cause the audio signal received by the headset to appear blurred, and the conversation of the crowd may interfere with the voice output of the tour guide. By evaluating different interference sources, the specific impact of each interference source on the headset transmission is calculated, so as to determine the degree of impact of noise on audio quality.

[0024] Step three: Optimize the frequency band of the target wireless headset based on the transmission influence of the interference source to obtain the target signal.

[0025] Specifically, the target wireless headset will adjust the frequency band of signal transmission according to the interference sources in the surrounding environment to ensure a more stable and clear audio experience. For example, when the target wireless headset detects that multiple electronic devices (such as other wireless headsets, mobile phones, routers, etc.) are using the same frequency band nearby, the devices will interfere with each other, resulting in a decrease in signal quality. In order to avoid interference, the target wireless headset will automatically switch to a frequency band with less interference and select a relatively idle frequency range to improve the transmission quality of the signal. In this frequency band, interference sources can be effectively avoided, thereby ensuring clear transmission of the target signal and avoiding disconnection or audio quality degradation.

[0026] Step 4: Transmitting a signal of the target wireless headset according to the target signal.

[0027] Specifically, the audio signal from the signal source (such as a mobile phone or other audio device) is transmitted to the target wireless headset via wireless technology (such as Bluetooth). After receiving the signal, the target wireless headset converts it into sound and plays it out so that the target user can hear it. Among them, the quality of signal transmission will be affected by factors such as distance, interference, and headset reception ability. If the target signal is strong and the transmission distance is short, the target wireless headset can clearly receive and play the audio; but if the signal is weak or there is an interference source in the environment, the reception quality of the target wireless headset may decrease, and the sound may freeze or be interrupted. In order to optimize the transmission quality, the target wireless headset will automatically adjust the transmission frequency band or signal power to ensure that the target signal can be transmitted smoothly and played clearly. Therefore, through the stable transmission of the signal, it is ensured that the target signal can smoothly reach the target headset without interference, providing a high-quality listening experience.

[0028] The wireless headset signal enhancement method can realize intelligent perception and dynamic optimization management of complex environmental noise, thereby providing stable and clear audio signal transmission in a dynamically changing environment, and significantly improving the audio experience and user satisfaction.

[0029] Further, if Figure 2 As shown, the present application also includes: performing adaptive spectrum management on the target wireless headset according to the transmission influence of the interference source to obtain a target channel; if the target signal of the target channel does not meet the transmission threshold, performing a neighborhood search of the neighborhood threshold on the target wireless headset to determine a neighboring wireless headset; performing adaptive link optimization based on the neighboring wireless headset to obtain a target transmission link; performing signal transmission based on the target transmission link to obtain the target signal.

[0030] Specifically, after the target wireless headset evaluates in real time the impact of interference sources in the environment (such as traffic noise, electromagnetic interference, etc.) on audio transmission, it automatically selects the appropriate frequency band for signal transmission and obtains the target channel, so that the target wireless headset can avoid interference sources and select the frequency band with the least interference to ensure audio quality.

[0031] After selecting the frequency band, check the signal quality of the frequency band through the target wireless headset. If the signal quality at this time is lower than the preset transmission standard (such as the signal strength is lower than the set threshold), search for other headset devices within the range of the target wireless headset, that is, wireless headsets of the same type. The signal of the neighboring wireless headset can help the target wireless headset to enhance the signal and ensure stable audio transmission. For example, if the target headset cannot connect to its own channel, it may look for other devices (such as other users' headsets) as a way to relay or bridge the signal.

[0032] The target wireless headset will dynamically optimize the connection path with the neighboring headset based on the signal quality of the found neighboring headset to ensure stable signal transmission, including adjusting the transmission power, adjusting the transmission mode (such as frequency hopping or other wireless protocols), etc. For example, the target wireless headset may choose to establish a connection with a neighboring wireless headset with higher signal quality, or enhance signal stability through multi-headset cooperative transmission mode.

[0033] After link optimization, the target wireless headset actually transmits the signal through the determined optimal transmission path and ensures the clarity and stability of the audio signal, ensuring that the target wireless headset can smoothly receive high-quality audio signals.

[0034] By evaluating the impact of interference sources in real time and selecting the optimal frequency band for transmission, it ensures that the target wireless headset can always receive high-quality audio signals, ensuring the smoothness of the user experience and the clarity of the sound quality.

[0035] Furthermore, the present application also includes: evaluating the fullness of the real-time channel obtained based on the target wireless headset to obtain a first fullness; evaluating the fullness of the pre-jump channel obtained by pre-jumping the channel according to the target wireless headset to obtain a second fullness; and selecting the real-time channel and the pre-jump channel to obtain the target channel based on the first fullness and the second fullness.

[0036] Specifically, in the current signal channel, the target wireless headset evaluates the idleness of the channel by analyzing factors such as the spectrum utilization and signal interference of the channel, and then obtains the filling degree of the channel, that is, the congestion degree of signal transmission, as the first filling degree. The larger the signal transmission capacity of the channel, the higher the filling degree, which may affect the signal quality, and vice versa.

[0037] After the target wireless headset performs channel pre-jump, it evaluates the new channel, obtains the fill degree of the channel, and obtains the second fill degree. Pre-jump means that when the headset finds that the signal quality of the current channel is poor, it switches to another channel in advance for testing and evaluates the idleness of the channel, which helps the headset to switch to a more suitable channel in time when the signal is unstable or there is a lot of interference.

[0038] After analyzing the filling levels of the live channels and pre-jump channels, the target wireless headset will select a channel with lower filling levels and less interference as the target channel to ensure stable signal transmission.

[0039] By evaluating the fill levels of the target wireless headset's current signal channel and pre-jump channel, the headset is ensured to select the best channel for audio signal transmission. The target wireless headset automatically switches to a channel with a lower fill level to ensure signal stability and clear sound quality.

[0040] Furthermore, the present application also includes: extracting a first wireless headset in the neighborhood wireless headset that transmits with the target wireless headset according to the transmission distance; and relaying and forwarding the target source signal through the first wireless headset to obtain the target transmission link.

[0041] Specifically, by measuring the distance between the target wireless headset and other headsets, the headset closest to the target wireless headset is selected as the first wireless headset, ensuring that the signal transmission between the first wireless headset and the target headset is most stable and reliable.

[0042] The target source signal is the signal source that sends the audio signal to the target wireless headset. The selected first wireless headset will assume the function of signal relay. The first wireless headset receives the audio information sent by the target source signal, forwards it to the target wireless headset, and forwards it to other headsets. Through the relay and forwarding mechanism, the stability of the target wireless headset in signal transmission can be ensured to avoid signal loss or quality degradation due to obstacles or too far away.

[0043] By determining the neighboring wireless headset closest to the target wireless headset as the signal relay headset, and then relaying and forwarding the signal through the headset, it is ensured that the signal can be transmitted to the target wireless headset stably and smoothly, avoiding signal attenuation or interference, and improving the overall audio experience.

[0044] Furthermore, the present application also includes: extracting and scoring the neighborhood wireless headset according to the transmission distance to obtain a neighborhood headset score; predicting obstacles based on the transmission quality between the neighborhood wireless headset and the target wireless headset, extracting and scoring based on the obstacle prediction result to obtain an obstacle-free headset score; fusing the neighborhood headset score with the obstacle-free headset score, and obtaining the first wireless headset from the neighborhood wireless headset based on the fused score.

[0045] Specifically, a score is assigned to each neighboring wireless headset according to the distance between the target wireless headset and the surrounding neighboring headsets. The closer the distance, the better the quality of the transmission signal, and the higher the score, and vice versa. Based on the physical distance between the headsets, the neighboring wireless headsets that are closer to the target wireless headset are preferentially selected as potential relay or forwarding headsets.

[0046] When evaluating the neighborhood wireless headset, it is also necessary to determine whether there are obstacles between the two, such as walls, furniture, or other objects that may affect the signal transmission quality. Based on the predicted results of obstacles, each neighborhood wireless headset is assigned an obstacle-free headset score. The fewer obstacles on the transmission path, the higher the score of the neighborhood wireless headset, and vice versa.

[0047] Taking into account the distance between the headsets and the obstacles to signal transmission, the neighboring headset score and the barrier-free headset score are weighted and merged to obtain a fusion score, so as to select the most suitable headset as a signal relay. The higher the fusion score, the corresponding neighboring wireless headset will be selected first, and vice versa.

[0048] By comprehensively considering the physical distance of the headphones and factors affecting transmission quality (such as the impact of obstacles), a score is assigned to each neighboring headphone, and the most suitable headphone is selected as a signal relay by integrating the scores. This enables the best headphone to be intelligently selected in a dynamic environment, ensuring signal stability and transmission quality, and optimizing the performance and user experience of the target wireless headphones.

[0049] Furthermore, the present application also includes: setting a signal drop threshold; if the transmission signal between the neighborhood wireless headset and the target wireless headset meets the signal drop threshold, obtaining low transmission quality; obtaining an obstacle presence result based on the low transmission quality, and completing obstacle prediction.

[0050] Specifically, in order to monitor the quality of the signal, a standard value is set in the target wireless headset, which is called the signal drop threshold. The signal drop threshold is used to determine whether the signal is significantly attenuated. When the signal strength suddenly drops and is lower than the set threshold, it can be considered that the signal quality is disturbed.

[0051] When the transmission signal between the neighboring wireless headset and the target wireless headset drops significantly and reaches the set signal drop threshold, it is determined that the quality of signal transmission has deteriorated, that is, low transmission quality occurs, to ensure that the system can make corresponding adjustments based on the signal attenuation.

[0052] When the signal quality drops to the set threshold range, it is inferred that there may be obstacles that affect signal transmission. By identifying low transmission quality and combining data from other sensors, obstacles are predicted. Obstacles may be walls, furniture, or other equipment that hinder the smooth propagation of signals. Therefore, when the signal quality is low, it is inferred that obstacles may exist and corresponding measures are taken to optimize it.

[0053] By setting the signal drop threshold, the signal quality between the earphones is monitored. When the signal strength drops significantly and meets the set threshold, it is judged as low transmission quality, and further analysis is performed to see if there are obstacles, obstacle prediction is completed, and signal attenuation and interference are identified and responded to, thereby ensuring the communication quality between the earphones and improving the user experience.

[0054] Furthermore, the present application also includes: monitoring the position and movement status of the target user through the target wireless headset to obtain the target user status; constructing an environment prediction model, and predicting the ambient audio based on the target user status input into the environment prediction model to obtain predicted ambient audio; comparing and verifying the predicted ambient audio and the ambient audio data, and if the comparison result meets the comparison threshold, enhancing the volume of the predicted ambient audio and using it as the ambient audio data.

[0055] Specifically, the target wireless headset monitors the position and motion state of the target user through built-in sensors (such as accelerometers, gyroscopes, etc.) to obtain the current state of the target user. The built-in sensors can sense the user's motion trajectory in real time, such as detecting whether the user is walking, standing or sitting, so as to obtain accurate user activity information. Through the target user status, the target wireless headset can adapt to the user's real-time needs, such as improving the audio transmission quality when walking, or reducing power consumption when stationary.

[0056] Next, the target user is the user holding the target wireless headset. By analyzing the target user's motion state and environmental changes, an environmental prediction model is constructed to predict the audio conditions in the user's environment. For example, when the target user is walking, the environmental prediction model predicts the noise that may be generated in the surrounding environment, such as traffic noise or the sound of people talking, and thus provides a basis for optimizing the audio for the headset.

[0057] Then, the predicted ambient audio is compared with the actual ambient audio data to ensure the accuracy of the ambient prediction model and verify whether the audio in the actual environment and the predicted audio are in line with expectations. If the comparison result meets the set comparison threshold, it means that the difference between the predicted ambient audio and the actual ambient audio is within an acceptable range, and the volume of the predicted audio is enhanced to improve the clarity and audibility of the audio. For example, when the surrounding noise is high, the headphone volume is automatically increased to ensure that the target user can clearly hear the guide's explanation or other important audio content. The enhanced audio will continue to be transmitted and played as ambient audio data.

[0058] By monitoring the user's movement status and environmental changes in real time, building and verifying the environmental audio prediction model, and then adjusting the volume output according to the prediction results, a more stable and clear audio experience can be provided in a dynamic environment, providing a more comfortable listening experience.

[0059] Furthermore, the present application also includes: selecting a power consumption mode according to the target user status to obtain the power consumption mode; and performing intelligent sleep and wake-up of the target wireless headset according to the power consumption mode.

[0060] Specifically, the appropriate power consumption mode is selected according to the activity state of the target user. When the user is stationary or resting, the headset can switch to a low power consumption mode to extend battery life; when the user is in motion or using the headset, a higher power consumption mode may be selected to provide higher performance and a clearer audio experience. For example, when the user is sitting quietly, the headset can reduce power consumption to a minimum, and may only require a small amount of power to maintain the headset in standby mode. Conversely, when exercising or listening to a lecture, the headset will select a high power consumption mode to ensure stable and clear audio transmission.

[0061] The target wireless headset intelligently enters sleep mode or wakes up according to the selected power consumption mode. In low power consumption mode, it can enter sleep mode when there is no user operation for a long time, reducing energy consumption and thus extending the battery life; and when the user wears the headset again or starts using it, the headset will restart through the intelligent wake-up mechanism and return to working state. For example, if the user does not use the headset for a long time, the headset may enter sleep mode until the user wears it or triggers an action (such as tapping the headset), and then the headset will be restored to normal working state through intelligent wake-up.

[0062] Different power consumption modes are selected based on the user's status to optimize battery life. When the user is stationary or resting, the headset switches to low power consumption mode to save power; when higher performance is required, the headset enters high power consumption mode. In addition, through the intelligent sleep and wake-up mechanism, the headset can automatically sleep when the user is not in use and quickly resume working when needed, further extending battery life and improving user experience.

[0063] In summary, the wireless headset signal enhancement method provided by the present application has the following technical effects: obtaining environmental audio data by real-time monitoring the environment based on the target sensor built into the target wireless headset; performing transmission impact evaluation on the interference source information obtained by noise classification of the environmental audio data to obtain the transmission impact of the interference source; optimizing the frequency band of the target wireless headset based on the transmission impact of the interference source to obtain the target signal; and transmitting the signal of the target wireless headset according to the target signal. That is to say, by realizing intelligent perception and dynamic optimization management of complex environmental noise, the technical effect of providing stable and clear audio signal transmission in a dynamically changing environment and significantly improving the audio experience and user satisfaction is achieved.

[0064] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0065] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A wireless headset signal enhancement method, characterized in that: include: Based on the built-in target sensor of the target wireless headset, the environment is monitored in real time to obtain the environmental audio data; Performing transmission impact assessment on interference source information obtained by performing noise classification on the environmental audio data to obtain transmission impact of the interference source; Optimizing the frequency band of the target wireless headset based on the transmission influence of the interference source to obtain a target signal; Signal transmission of the target wireless headset is performed according to the target signal.

2. A wireless headset signal enhancement method as claimed in claim 1, characterized in that: The step of optimizing the frequency band of the target wireless headset based on the transmission influence of the interference source to obtain the target signal includes: Performing adaptive spectrum management on the target wireless headset according to the transmission influence of the interference source to obtain a target channel; If the target signal of the target channel does not meet the transmission threshold, a neighborhood search of the neighborhood threshold is performed on the target wireless headset to determine a neighboring wireless headset; Performing adaptive link optimization according to the neighborhood wireless headset to obtain a target transmission link; The target signal is obtained by performing signal transmission according to the target transmission link.

3. A wireless headset signal enhancement method as claimed in claim 2, characterized in that: The step of performing adaptive spectrum management on the target wireless headset to obtain a target channel includes: Performing a fill degree evaluation on the real-time channel acquired based on the target wireless headset to obtain a first fill degree; Performing a filling degree evaluation on a pre-jumped channel obtained by pre-jumping the channel according to the target wireless headset to obtain a second filling degree; The real-time channel and the pre-jump channel are selected according to the first fullness and the second fullness to obtain the target channel.

4. A wireless headset signal enhancement method as claimed in claim 2, characterized in that: The step of performing adaptive link optimization according to the neighborhood wireless headset to obtain a target transmission link includes: Extracting the first wireless headset in the neighborhood wireless headsets that transmits to the target wireless headset according to the transmission distance; The target transmission link is obtained by relaying and forwarding the target source signal through the first wireless headset.

5. A wireless headset signal enhancement method as claimed in claim 4, characterized in that: The extracting, according to the transmission distance, the first wireless headset among the neighboring wireless headsets that transmits to the target wireless headset comprises: Extracting and scoring the neighboring wireless headset according to the transmission distance to obtain a neighboring headset score; Predict obstacles based on the transmission quality between the neighboring wireless headset and the target wireless headset, extract and assign points based on the obstacle prediction result, and obtain an obstacle-free headset score; The neighborhood headset score and the barrier-free headset score are merged, and a first wireless headset is obtained from the neighborhood wireless headset according to the merged score.

6. A wireless headset signal enhancement method as claimed in claim 5, characterized in that: The predicting of obstacles according to the transmission quality between the neighboring wireless headset and the target wireless headset includes: Set the signal drop threshold; If the transmission signal between the neighboring wireless headset and the target wireless headset meets the signal drop threshold, low transmission quality is obtained; Obstacle existence result is obtained according to the low transmission quality, and obstacle prediction is completed.

7. A wireless headset signal enhancement method as claimed in claim 1, characterized in that: The target sensor built into the target wireless headset monitors the environment in real time to obtain the environmental audio data, including: Monitoring the position and movement status of the target user through the target wireless headset to obtain the target user status; Constructing an environment prediction model, and performing environment audio prediction based on the target user state input into the environment prediction model to obtain predicted environment audio; The predicted environmental audio and the environmental audio data are compared and verified. If the comparison result meets the comparison threshold, the volume of the predicted environmental audio is enhanced and used as the environmental audio data.

8. A wireless headset signal enhancement method as claimed in claim 7, characterized in that: Also includes: Selecting a power consumption mode according to the target user state to obtain a power consumption mode; The target wireless headset is intelligently put to sleep and awakened according to the power consumption mode.

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