Wireless audio frequency band conflict avoidance method in high-density and high-strength electromagnetic environment

Abstract

The invention discloses a wireless audio frequency band conflict avoidance method in a high-density and high-intensity electromagnetic environment, and the method comprises the steps: monitoring the signal intensity, the frequency band occupation condition and an interference source in the electromagnetic environment in real time, and carrying out the measurement of the signal intensity through a spectrum analyzer or a radio frequency detector; intelligent prediction and dynamic sensing are performed on the spectrum occupation condition by combining a machine learning algorithm, so that the frequency band of audio signal transmission is adjusted in real time, and the current idle frequency band with less interference is dynamically selected for audio transmission based on a spectrum sensing result, so that the conflict with the frequency bands of other equipment is avoided. Through the intelligent spectrum sensing technology, the spectrum use condition in the electromagnetic environment is monitored in real time, frequency band conflicts and interference sources can be efficiently and accurately found, smooth audio data transmission is ensured, transmission delay caused by the frequency band conflicts can be effectively reduced through dynamic frequency band selection and a rapid switching mechanism, and the low delay requirement of real-time audio transmission is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic compatibility, and specifically to a method for avoiding wireless audio frequency band conflicts in a high-density and high-intensity electromagnetic environment. Background Art

[0002] The method for avoiding wireless audio frequency band conflicts in a high-density and high-intensity electromagnetic environment aims to solve the problem of frequency band interference in a complex wireless environment and ensure the stability and high quality of wireless audio transmission. This method monitors the spectrum usage in the electromagnetic environment in real time, dynamically selects and adjusts the audio transmission frequency band to avoid conflicts with other wireless signals (such as Wi-Fi, Bluetooth, Zigbee, etc.). Specifically, it utilizes intelligent spectrum sensing, frequency band switching, spectrum planning, and interference suppression technologies to optimize the utilization of spectrum resources, reduce signal loss and transmission delay caused by high-density device operations and electromagnetic interference, and ensure seamless and efficient transmission of audio signals. This method is particularly suitable for wireless audio devices that require high stability and low latency, and can ensure audio quality and user experience in a dense wireless device environment.

[0003] In the prior art, the wireless audio frequency band conflict avoidance method in a high-density and high-intensity electromagnetic environment has the following disadvantages: Insufficiently accurate spectrum sensing: Spectrum sensing in the prior art usually relies on simple signal strength detection or static spectrum allocation, lacking precise sensing of the dynamic spectrum occupancy in complex environments. In a high-density electromagnetic environment, due to the large number of devices and complex environment, existing spectrum sensing methods often struggle to identify and respond to spectrum interference in real time and comprehensively, resulting in the failure to avoid frequency band conflicts in a timely manner; High frequency band switching delay: When a frequency band conflict occurs, the prior art avoids interference by switching frequency bands. However, the frequency band switching process may cause a relatively high delay, especially in an environment with a high density of devices, which will affect the real-time nature of audio transmission and even cause audio stuttering or interruption, seriously affecting the user experience; Low bandwidth utilization efficiency: In a high-intensity electromagnetic environment, the use of the spectrum by existing methods usually suffers from waste or inefficiency. Although frequency band conflicts are avoided, the effective utilization of the bandwidth is often sacrificed. In an environment with tight spectrum, this inefficient use may lead to insufficient audio transmission bandwidth, reducing the audio quality and transmission speed; Lack of support for multi-protocol cooperation: In a high-density electromagnetic environment, multiple wireless communication protocols (such as Wi-Fi, Bluetooth, Zigbee, etc.) may operate simultaneously. Existing methods usually do not have an effective mechanism to coordinate the frequency band allocation and interference management between different protocols. This may cause interference between the signals of different protocols, affecting the stability of the audio signal; High energy consumption: To avoid frequency band conflicts, some existing methods may need to perform frequent spectrum scanning, dynamic frequency band switching, etc., which will increase the energy consumption of the device. In battery-powered wireless audio devices, frequent energy consumption will significantly shorten the working time of the device, affecting the user experience; Insufficient anti-interference ability: Although the prior art reduces conflicts through frequency band adjustment and interference suppression, in some complex or strong electromagnetic interference environments, the prior art may be difficult to effectively cope with strong interference signals, and the audio quality may still be significantly affected.

[0004] Therefore, we propose a wireless audio frequency band conflict avoidance method in a high-density and high-intensity electromagnetic environment. Summary of the Invention

[0005] To achieve the above object, the present invention provides the following technical solution: A wireless audio frequency band conflict avoidance method in a high-density and high-intensity electromagnetic environment, comprising the following steps:

[0006] S1: Spectrum sensing

[0007] S1.1: Real-time monitor the signal strength, frequency band occupancy and interference sources in the electromagnetic environment, measure the signal strength using a spectrum analyzer or a radio frequency detector, and combine machine learning algorithms to perform intelligent prediction and dynamic sensing of the frequency band occupancy, so as to adjust the frequency band of audio signal transmission in real time;

[0008] S1.2: The spectrum sensing module conducts comprehensive analysis based on time, location, signal strength, and interference source type to provide accurate sensing of the status of different frequency bands.

[0009] S2: Dynamic frequency band selection

[0010] S2.1: Based on the spectrum sensing results, dynamically select the currently idle and less interfered frequency band for audio transmission to avoid frequency band conflicts with other devices;

[0011] S2.2: The system automatically selects the frequency band with the optimal bandwidth by measuring information such as the noise level and the number of interference sources of each available frequency band in real time, and makes periodic adjustments according to environmental changes;

[0012] S2.3: Among the spectrum resources shared among devices, the system will preferentially select channels with fewer frequency band conflicts and sufficient bandwidth to ensure the quality and stability of audio signals.

[0013] S3: Multi-protocol collaborative scheduling

[0014] S3.1: In an environment where multiple protocols coexist, through the protocol priority management mechanism, ensure that audio data streams (such as Bluetooth audio, Wi-Fi audio streams, etc.) obtain bandwidth preferentially;

[0015] S3.2: The system automatically adjusts the bandwidth allocation according to the real-time requirements of the protocol to avoid other protocols (such as data streams, video streams) occupying too much bandwidth and affecting audio transmission;

[0016] S3.3: The collaborative scheduling of multi-protocol devices adopts an adaptive algorithm to dynamically optimize according to the bandwidth occupancy situation among protocols and reduce interference.

[0017] S4: Real-time frequency band switching

[0018] S4.1: When detecting frequency band conflicts or strong electromagnetic interference, the system can quickly switch to other idle frequency bands, and the delay during the switching process is kept at the millisecond level;

[0019] S4.2: The switching mechanism combines the spectrum sensing and protocol scheduling modules to ensure that the audio signal will not be significantly interrupted or delayed after switching, and ensure smooth audio transmission;

[0020] S4.3: During the switching process, the system quickly evaluates the bandwidth requirements, selects the optimal frequency band, and reduces the bandwidth loss caused by switching.

[0021] S5: Anti-interference processing

[0022] S5.1: Adopt advanced interference suppression technologies, such as signal filtering, error detection, retransmission mechanisms, etc., to improve the reliability of audio data transmission;

[0023] S5.2: Dynamically optimize the signal strength and channel quality through algorithms to ensure that the audio signal is not affected by environmental changes or electromagnetic interference;

[0024] S5.3: The signal retransmission mechanism adopts an automatic adjustment method. When interference occurs in the network, it automatically retransmits the lost data packets to ensure the continuity of the audio.

[0025] S6: Low-power operation

[0026] S6.1: Reduce the power consumption of the device and extend its service life by optimizing the spectrum scanning period and reducing the frequency band switching frequency;

[0027] S6.2: The system reduces the frequency of spectrum scanning when idle to reduce unnecessary energy consumption; during data transmission, it speeds up the response time of spectrum scanning and frequency band switching to ensure audio quality;

[0028] S6.3: Using the dynamic spectrum sensing module, the device can intelligently judge whether to enter the low-power state to avoid unnecessary energy consumption.

[0029] Preferably, the spectrum sensing module is based on the combination of radio spectrum analysis and machine learning algorithms, can capture the detailed changes of the spectrum in real time, and automatically adjust its sensing sensitivity and frequency band monitoring strategy according to the changes of the device environment. The spectrum sensing module will predict trends through a machine learning model according to the real-time changes of the electromagnetic environment, identify possible interference sources and frequency band occupancy peaks in advance, and avoid conflicts with audio signals to the greatest extent.

[0030] Preferably, the protocol priority scheduling adopts an adaptive algorithm based on real-time bandwidth requirements and protocol performance analysis, dynamically adjusts the bandwidth allocation among different protocols, and according to the bandwidth requirements of multiple protocols (such as Bluetooth, Wi-Fi, Zigbee, etc.) running on the device, the system can automatically give priority to ensuring the bandwidth of high-priority protocols (such as audio data streams) and reduce the bandwidth occupancy of low-priority protocols.

[0031] Preferably, the anti-interference processing includes the following steps:

[0032] Signal filtering: Use filtering algorithms to remove unnecessary high-frequency noise and spurious signals and enhance the purity of the audio signal.

[0033] Error detection and correction: Identify and repair the error codes in audio transmission through error detection and correction codes (such as CRC check, etc.) to ensure the integrity of audio data.

[0034] Retransmission mechanism: For lost or damaged audio data packets, the system will automatically start the retransmission mechanism to ensure the continuity and transmission reliability of audio data.

[0035] Preferably, the low-power operation optimizes power consumption through the following measures:

[0036] Dynamically adjust the spectrum scanning period: Dynamically adjust the spectrum scanning period according to the working state of the device. The scanning period is shorter during audio transmission and longer during idle time.

[0037] Optimize the protocol switching frequency: When the audio device enters the low-power mode, reduce the frequency of band switching to extend the battery life of the device.

[0038] Compared with the prior art, the present invention provides a method for avoiding wireless audio band conflicts in a high-density and high-intensity electromagnetic environment, having the following beneficial effects:

[0039] 1. The method for avoiding wireless audio band conflicts in a high-density and high-intensity electromagnetic environment can, through intelligent spectrum sensing technology, monitor the spectrum usage in the electromagnetic environment in real time, efficiently and accurately detect band conflicts and interference sources, ensure the smooth transmission of audio data, and the dynamic band selection and fast switching mechanism can effectively reduce the transmission delay caused by band conflicts and ensure the low-latency requirement of real-time audio transmission.

[0040] 2. The method for avoiding wireless audio band conflicts in a high-density and high-intensity electromagnetic environment supports the parallel operation of multiple wireless communication protocols. Through protocol priority scheduling and collaborative management, it can effectively reduce conflicts between protocols, optimize bandwidth utilization, adopt interference suppression technology, reduce the impact of electromagnetic interference on audio signals, and ensure the quality and stability of audio transmission.

[0041] 3. The method for avoiding wireless audio band conflicts in a high-density and high-intensity electromagnetic environment can reduce the power consumption of wireless devices and extend the working time of the devices by dynamically optimizing the frequencies of spectrum scanning and protocol switching, which is particularly suitable for battery-powered wireless audio devices. Detailed implementation manners

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Apparently, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] Embodiment

[0044] An embodiment of a method for avoiding wireless audio band conflicts in a high-density and high-intensity electromagnetic environment

[0045] A method for avoiding wireless audio band conflicts in a high-density and high-intensity electromagnetic environment includes the following steps:

[0046] S1: Spectrum Sensing

[0047] S1.1: Monitor the signal strength, frequency band occupancy, and interference sources in the electromagnetic environment in real time. Measure the signal strength using a spectrum analyzer or RF detector, and combine machine learning algorithms to perform intelligent prediction and dynamic sensing of the spectrum occupancy to adjust the frequency band for audio signal transmission in real time;

[0048] S1.2: The spectrum sensing module performs comprehensive analysis based on time, location, signal strength, and interference source type to provide accurate sensing of the status of different frequency bands.

[0049] S2: Dynamic Frequency Band Selection

[0050] S2.1: Based on the spectrum sensing results, dynamically select the currently idle frequency band with less interference for audio transmission to avoid frequency band conflicts with other devices;

[0051] S2.2: The system automatically selects the frequency band with the optimal bandwidth by measuring information such as the noise level and the number of interference sources of each available frequency band in real time, and performs periodic adjustment according to environmental changes;

[0052] S2.3: Among the spectrum resources shared among devices, the system will preferentially select channels with less frequency band conflicts and sufficient bandwidth to ensure the quality and stability of audio signals.

[0053] S3: Multi-Protocol Cooperative Scheduling

[0054] S3.1: In an environment where multiple protocols coexist, through the protocol priority management mechanism, ensure that audio data streams (such as Bluetooth audio, Wi-Fi audio streams, etc.) preferentially obtain bandwidth;

[0055] S3.2: The system automatically adjusts the bandwidth allocation according to the real-time requirements of the protocol to avoid other protocols (such as data streams, video streams) occupying too much bandwidth and affecting audio transmission;

[0056] S3.3: The cooperative scheduling of multi-protocol devices adopts an adaptive algorithm to dynamically optimize according to the bandwidth occupancy among protocols and reduce interference.

[0057] S4: Real-Time Frequency Band Switching

[0058] S4.1: When detecting frequency band conflicts or strong electromagnetic interference, the system can quickly switch to other idle frequency bands, and the delay during the switching process is kept at the millisecond level;

[0059] S4.2: The switching mechanism combines the spectrum sensing and protocol scheduling modules to ensure that the audio signal will not be significantly interrupted or delayed after switching, and ensure smooth audio transmission;

[0060] S4.3: During the handover process, the system quickly evaluates the bandwidth requirements, selects the optimal frequency band, and reduces the bandwidth loss caused by handover.

[0061] S5: Anti-interference processing

[0062] S5.1: Adopt advanced interference suppression technologies, such as signal filtering, error detection, retransmission mechanisms, etc., to improve the reliability of audio data transmission;

[0063] S5.2: Dynamically optimize the signal strength and channel quality through algorithms to ensure that the audio signal is not affected by environmental changes or electromagnetic interference;

[0064] S5.3: The signal retransmission mechanism adopts an automatic adjustment method. When interference occurs in the network, it automatically retransmits the lost data packets to ensure the continuity of the audio.

[0065] S6: Low-power operation

[0066] S6.1: By optimizing the spectrum scanning period and reducing the frequency band switching frequency, reduce the power consumption of the device and extend the service life of the device;

[0067] S6.2: When the system is idle, reduce the frequency of spectrum scanning to reduce unnecessary energy consumption; during data transmission, speed up the response time of spectrum scanning and frequency band switching to ensure audio quality;

[0068] S6.3: Utilize the dynamic spectrum sensing module, and the device can intelligently judge whether to enter the low-power state to avoid unnecessary energy consumption.

[0069] Specifically, the spectrum sensing module combines radio spectrum analysis and machine learning algorithms, can capture the detailed changes of the spectrum in real time, and automatically adjusts its sensing sensitivity and frequency band monitoring strategy according to the changes in the device environment. This spectrum sensing module will predict trends through a machine learning model based on the real-time changes in the electromagnetic environment, identify possible interference sources and frequency band occupancy peaks in advance, and avoid conflicts with audio signals to the greatest extent.

[0070] Specifically, the protocol priority scheduling adopts an adaptive algorithm based on real-time bandwidth requirements and protocol performance analysis, dynamically adjusts the bandwidth allocation among different protocols, and according to the bandwidth requirements of multiple protocols running on the device (such as Bluetooth, Wi-Fi, Zigbee, etc.), the system can automatically prioritize ensuring the bandwidth of high-priority protocols (such as audio data streams) and reduce the bandwidth occupancy of low-priority protocols.

[0071] Specifically, the anti-interference processing includes the following steps:

[0072] Signal filtering: Use filtering algorithms to remove unnecessary high-frequency noise and spurious signals and enhance the purity of the audio signal.

[0073] Error detection and correction: Identify and repair bit errors in audio transmission through error detection and correction code (such as CRC check, etc.) mechanisms to ensure the integrity of audio data.

[0074] Retransmission mechanism: For lost or damaged audio data packets, the system will automatically start the retransmission mechanism to ensure the continuity of audio data and the reliability of transmission.

[0075] Specifically, low-power operation optimizes power consumption through the following measures:

[0076] Dynamically adjust the spectrum scanning period: Dynamically adjust the spectrum scanning period according to the working state of the device. The scanning period is shorter during audio transmission and longer during idle time.

[0077] Optimize the protocol switching frequency: When the audio device enters the low-power mode, reduce the frequency of band switching to extend the battery life of the device.

[0078] Through the above technical solutions, in the present invention, through intelligent spectrum sensing technology, the spectrum usage in the electromagnetic environment is monitored in real time, and frequency band conflicts and interference sources can be efficiently and accurately detected, ensuring smooth audio data transmission. The dynamic frequency band selection and fast switching mechanism can effectively reduce the transmission delay caused by frequency band conflicts, meet the low-latency requirements of real-time audio transmission, support the parallel operation of multiple wireless communication protocols, effectively reduce conflicts between protocols through protocol priority scheduling and collaborative management, optimize bandwidth utilization, adopt interference suppression technology, reduce the impact of electromagnetic interference on audio signals, ensure the quality and stability of audio transmission, and reduce the power consumption of wireless devices and extend the working time of the devices by dynamically optimizing the frequency of spectrum scanning and protocol switching, which is particularly suitable for battery-powered wireless audio devices.

[0079] Embodiment 1: Spectrum sensing and dynamic frequency band selection

[0080] The wireless audio device of the present invention monitors the usage of the working frequency band in real time through a spectrum analyzer and a radio frequency detector in a high-density electromagnetic environment. The spectrum sensing module processes the detected electromagnetic signal strength, noise level, and interference sources, and analyzes the possible interference trends in combination with a machine learning model. The device determines the most suitable audio transmission frequency band based on this information and selects a frequency band with the least interference and sufficient bandwidth for audio data transmission.

[0081] For example, when the device detects a high noise level in frequency band A, the system will automatically select frequency band B as an alternative. If frequency band A continues to be interfered with, the system will switch frequency bands within milliseconds to ensure smooth audio transmission.

[0082] Embodiment 2: Multi-protocol collaborative scheduling and bandwidth optimization

[0083] When multiple wireless protocols (such as Wi-Fi, Bluetooth, Zigbee) are running simultaneously, the device of the present invention allocates bandwidth based on the protocol priority. For example, when the device is running a Bluetooth audio stream and a Wi-Fi data stream simultaneously, the system will preferentially allocate bandwidth according to the low-latency requirement of the Bluetooth audio stream, restricting the data stream bandwidth of Wi-Fi, thereby reducing interference between protocols and ensuring the stability of the audio stream.

[0084] The bandwidth allocation strategy is dynamically adjusted according to the protocol type, data transmission requirements, and the current electromagnetic environment.

[0085] Embodiment 3: Anti-interference and error handling

[0086] The present invention uses advanced signal filtering technology to process interference signals in the wireless environment, optimizing the audio signal quality by removing unnecessary spurious signals and high-frequency noise. In addition, an error detection and correction mechanism (such as CRC check) will continuously check the integrity of the audio data. Once an error packet is detected, the system will initiate a retransmission mechanism to ensure the continuity and stability of the audio.

[0087] For interference sources with excessive noise intensity, the system will automatically adjust the transmission channel according to real-time feedback and select the most suitable channel for audio transmission.

[0088] Embodiment 4: Low-power operation and optimization

[0089] To extend the working time of wireless audio devices, the present invention introduces a dynamic spectrum scanning period adjustment mechanism. When the device is in an idle state, the spectrum scanning period will be extended to reduce scanning operations; while during audio transmission, the scanning period will be shortened to ensure real-time detection of frequency band changes and rapid adjustment. In addition, the frequency of frequency band switching will also be adjusted according to the working state of the device to avoid excessive energy consumption caused by frequent switching operations.

[0090] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for avoiding wireless audio frequency band conflicts in a high-density and high-intensity electromagnetic environment, characterized in that: It includes the following steps: S1: Spectrum Sensing S1.1: Monitor the signal strength, frequency band occupancy, and interference sources in the electromagnetic environment in real time. Measure the signal strength using a spectrum analyzer or radio frequency detector, and combine machine learning algorithms to perform intelligent prediction and dynamic perception of the spectrum occupancy to adjust the frequency band for audio signal transmission in real time; S1.2: The spectrum sensing module conducts comprehensive analysis based on time, location, signal strength, and interference source type to provide accurate perception of the status of different frequency bands. S2: Dynamic Frequency Band Selection S2.1: Based on the spectrum sensing results, dynamically select the currently idle and less interfered frequency band for audio transmission to avoid frequency band conflicts with other devices; S2.2: The system automatically selects the frequency band with the optimal bandwidth by measuring information such as the noise level and the number of interference sources of each available frequency band in real time, and makes periodic adjustments according to environmental changes; S2.3: In the spectrum resources shared among devices, the system will preferentially select channels with fewer frequency band conflicts and sufficient bandwidth to ensure the quality and stability of audio signals. S3: Multi-Protocol Cooperative Scheduling S3.1: In an environment with multiple protocols coexisting, ensure that audio data streams (such as Bluetooth audio, Wi-Fi audio streams, etc.) can obtain bandwidth preferentially through the protocol priority management mechanism; S3.2: The system automatically adjusts the bandwidth allocation according to the real-time requirements of the protocol to avoid other protocols (such as data streams, video streams) occupying too much bandwidth and affecting audio transmission; S3.3: The cooperative scheduling of multi-protocol devices adopts an adaptive algorithm to dynamically optimize according to the bandwidth occupancy situation among protocols and reduce interference. S4: Real-Time Frequency Band Switching S4.1: When detecting frequency band conflicts or strong electromagnetic interference, the system can quickly switch to other idle frequency bands, and the delay during the switching process is kept at the millisecond level; S4.2: The switching mechanism combines the spectrum sensing and protocol scheduling modules to ensure that the audio signal will not be significantly interrupted or delayed after switching, and ensure smooth audio transmission; S4.3: During the switching process, the system quickly evaluates the bandwidth requirements and selects the optimal frequency band to reduce the bandwidth loss caused by switching. S5: Anti-Interference Processing S5.1: Adopt advanced interference suppression technologies such as signal filtering, error detection, and retransmission mechanisms to improve the reliability of audio data transmission; S5.2: Dynamically optimize the signal strength and channel quality through algorithms to ensure that the audio signal is not affected by environmental changes or electromagnetic interference; S5.3: The signal retransmission mechanism adopts an automatic adjustment method. When interference occurs in the network, it automatically retransmits the lost data packets to ensure the continuity of the audio. S6: Low-Power Operation S6.1: Reduce the power consumption of the device and extend the service life of the device by optimizing the spectrum scanning period and reducing the frequency of frequency band switching; S6.2: The system reduces the frequency of spectrum scanning when idle to reduce unnecessary energy consumption; during data transmission, it speeds up the response time of spectrum scanning and frequency band switching to ensure audio quality; S6.3: Using the dynamic spectrum sensing module, the device can intelligently judge whether to enter the low-power state to avoid unnecessary energy consumption.

2. The method for avoiding wireless audio frequency band conflicts in a high-density and high-intensity electromagnetic environment according to claim 1, characterized in that: The spectrum sensing module combines radio spectrum analysis with machine learning algorithms, capable of capturing the detailed changes in the spectrum in real time and automatically adjusting its sensing sensitivity and frequency band monitoring strategy according to the changes in the device environment. This spectrum sensing module will perform trend prediction through a machine learning model based on the real-time changes in the electromagnetic environment, identify potential interference sources and frequency band occupancy peaks in advance, and avoid conflicts with audio signals to the greatest extent possible.

3. A method for avoiding wireless audio frequency band conflicts in a high-density and high-intensity electromagnetic environment according to claim 1, characterized in that: The protocol priority scheduling adopts an adaptive algorithm based on real-time bandwidth requirements and protocol performance analysis, dynamically adjusts the bandwidth allocation among different protocols. According to the bandwidth requirements of multiple protocols running on the device (such as Bluetooth, Wi-Fi, Zigbee, etc.), the system can automatically prioritize ensuring the bandwidth of high-priority protocols (such as audio data streams) and reduce the bandwidth occupancy of low-priority protocols.

4. A method for avoiding wireless audio frequency band conflicts in a high-density and high-intensity electromagnetic environment according to claim 1, characterized in that: The anti-interference processing includes the following steps: Signal filtering: Use filtering algorithms to remove unnecessary high-frequency noise and spurious signals, enhancing the purity of the audio signal. Error detection and correction: Identify and repair the error codes in audio transmission through error detection and correction code mechanisms (such as CRC check, etc.) to ensure the integrity of audio data. Retransmission mechanism: For lost or damaged audio data packets, the system will automatically start the retransmission mechanism to ensure the continuity of audio data and the reliability of transmission.

5. A method for avoiding wireless audio frequency band conflicts in a high-density and high-intensity electromagnetic environment according to claim 1, characterized in that: The low-power operation optimizes power consumption through the following measures: Dynamically adjust the spectrum scanning period: Dynamically adjust the spectrum scanning period according to the working state of the device. The scanning period is shorter during audio transmission and longer during idle time. Optimize the protocol switching frequency: When the audio device enters the low-power mode, reduce the frequency of frequency band switching to extend the battery life of the device.