Vehicle-mounted Bluetooth anti-interference method and related equipment
By perceiving environmental interference in real time and making intelligent decisions to optimize communication strategies, vehicle Bluetooth achieves high stability and strong anti-interference in complex scenarios, solving the problem of unstable connection of vehicle Bluetooth in complex environments and improving user experience.
Patent Information
- Application Number
- CN202510542771.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-28
- Publication Date
- 2025-08-12
AI Technical Summary
Vehicle Bluetooth connection is unstable in complex interference environments, transmission interruption and delay are serious, and the existing anti-interference mechanism cannot dynamically identify interference sources and regulate resources, resulting in poor user experience.
By obtaining real-time interference data, the preset anti-interference decision model is used to generate optimization strategies, including frequency hopping, power adjustment and channel coordination, and dynamically adjust the on-board Bluetooth communication link.
It achieves high stability and strong anti-interference in complex interference scenarios, reduces disconnection and audio lag, and improves user experience.
Smart Images

Figure CN120475352A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vehicle-mounted Bluetooth technology, and more specifically, to a vehicle-mounted Bluetooth anti-interference method and related equipment. Background Art
[0002] With the rapid development of smart cars and in-vehicle communication systems, Bluetooth technology, as an important means of achieving wireless audio transmission, voice calls, and device connectivity within the vehicle, has been widely adopted in in-vehicle terminals such as navigation systems, entertainment systems, and hands-free calling devices. However, the complexity and mobility of the in-vehicle environment make Bluetooth communications susceptible to various internal and external interference, leading to unstable connections, transmission interruptions, increased latency, and other issues that seriously affect the user experience. Therefore, improving the anti-interference capabilities of in-vehicle Bluetooth in high-interference scenarios has become a key technical requirement.
[0003] In existing technologies, the anti-interference mechanism of in-vehicle Bluetooth mostly relies on traditional adaptive frequency hopping technology, which maintains the stability of the connection by avoiding some interference channels. Although this method has certain practical value in low-interference environments, in high-density wireless signal environments (such as urban core areas, subway stations, airports, etc.), the traditional frequency hopping mechanism cannot dynamically identify the type and intensity of interference sources, nor can it deeply coordinate the adjustment of Bluetooth power, channel resources, etc., resulting in limited anti-interference effect. Disconnection, audio freezes, etc. are still prone to problems. In other words, there is a technical problem in the relevant technology that in-vehicle Bluetooth has poor anti-interference ability. Summary of the Invention
[0004] The Summary of the Invention section of this application introduces a series of simplified concepts that will be further described in detail in the Detailed Description of the Invention section. The Summary of the Invention section of this application is not intended to limit the key features and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.
[0005] The in-vehicle Bluetooth anti-interference method and related equipment provided in this application can achieve high stability and strong anti-interference performance of in-vehicle Bluetooth in complex interference scenarios by sensing environmental interference in real time and making intelligent decisions to optimize communication strategies.
[0006] In the first aspect, the present application provides an in-vehicle Bluetooth anti-interference method, comprising: obtaining real-time interference data of the environment in which the in-vehicle Bluetooth is located, wherein the real-time interference data includes wireless signal parameters, environmental characteristic parameters and equipment interference parameters; inputting the real-time interference data into a preset anti-interference decision model to obtain a target optimization strategy, wherein the target optimization strategy includes at least one of a frequency hopping strategy, a power adjustment strategy and a channel coordination strategy; and adjusting the communication link of the in-vehicle Bluetooth according to the target optimization strategy.
[0007] In some embodiments, obtaining real-time interference data of the environment in which the vehicle-mounted Bluetooth is located includes: obtaining the wireless signal parameters through a multi-source wireless signal sensor, wherein the wireless signal parameters include a Bluetooth received signal strength indicator value, a channel bit error rate, and an adjacent Wi-Fi channel occupancy rate; determining the environmental characteristic parameters based on positioning data and a historical interference feature library, wherein the environmental characteristic parameters include a passenger transportation center mode and an urban high-rise building area mode; obtaining the device interference parameters through electromagnetic spectrum analysis, wherein the device interference parameters include vehicle-mounted wireless charging radiation characteristics and vehicle-mounted screen electromagnetic radiation characteristics.
[0008] In some embodiments, the frequency hopping strategy includes: determining an available channel set based on the wireless signal parameters; determining a channel interference probability distribution through a preset timing prediction model; generating a target frequency hopping sequence based on the available channel set and the channel interference probability distribution; and performing frequency hopping on the in-vehicle Bluetooth according to the target frequency hopping sequence.
[0009] In some embodiments, generating a target frequency hopping sequence based on the available channel set and the channel interference probability distribution includes: sorting the available channel set according to a historical connection success rate to obtain an initial candidate sequence; and performing a weighted adjustment on the initial candidate sequence according to the channel interference probability distribution to obtain the target frequency hopping sequence.
[0010] In some embodiments, the power adjustment strategy includes: determining the initial transmission power level based on the mapping relationship between the Bluetooth received signal strength indication value and the environmental characteristic parameters; generating a power compensation coefficient based on the device interference parameter; and determining the transmission power output value of the vehicle-mounted Bluetooth based on the initial transmission power level and the power compensation coefficient.
[0011] In some embodiments, the channel coordination strategy includes: when it is detected that the occupancy rate of the adjacent Wi-Fi channel exceeds a preset occupancy rate limit, sending a frequency band switching instruction to the on-board Wi-Fi module to switch to the 5 GHz frequency band; when the frequency band of the on-board Wi-Fi module cannot be switched to the 5 GHz frequency band, determining an adjustment period ratio based on the device interference parameter; based on the adjustment period ratio, the Bluetooth communication period of the on-board Bluetooth and the Wi-Fi communication period of the on-board Wi-Fi module implement a time division multiplexing strategy.
[0012] In some embodiments, the vehicle-mounted Bluetooth anti-interference method also includes: when it is detected that the Bluetooth connection quality of the vehicle-mounted Bluetooth is less than a preset threshold, obtaining the connection status parameters of the vehicle-mounted Bluetooth, wherein the connection status parameters include the original communication link, the paired device identifier and the cached data packet; based on the connection status parameters, establishing a backup communication link corresponding to the paired device identifier through the ultra-wideband communication module; performing a breakpoint resume operation through the backup communication link according to the transmission priority of the cached data packet; when it is detected that the Bluetooth connection quality of the vehicle-mounted Bluetooth is greater than or equal to the preset threshold, switching back to the original communication link for data synchronization.
[0013] In the second aspect, the present application also provides a vehicle-mounted Bluetooth anti-interference device, including: a data acquisition unit, used to obtain real-time interference data of the environment in which the vehicle-mounted Bluetooth is located, wherein the real-time interference data includes wireless signal parameters, environmental characteristic parameters and equipment interference parameters; a strategy determination unit, used to input the real-time interference data into a preset anti-interference decision model to obtain a target optimization strategy, wherein the target optimization strategy includes at least one of a frequency hopping strategy, a power adjustment strategy and a channel coordination strategy; a strategy execution unit, used to adjust the communication link of the vehicle-mounted Bluetooth according to the target optimization strategy.
[0014] In a third aspect, the present application further provides an electronic device comprising: a memory and a processor, wherein the processor is configured to implement the steps of the in-vehicle Bluetooth anti-interference method described in the first aspect when executing a computer program stored in the memory.
[0015] In a fourth aspect, the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the in-vehicle Bluetooth anti-interference method described in the first aspect.
[0016] In a fifth aspect, the present application also provides a computer program product, including a computer program or computer executable instructions. When the computer program or computer executable instructions are executed by a processor, the in-vehicle Bluetooth anti-interference method provided in the embodiment of the present application is implemented.
[0017] In summary, this application can accurately determine the current source and intensity of interference by obtaining real-time interference data. Compared with traditional static solutions, it has the advantages of strong environmental adaptability and fast response speed, and can respond to complex and changeable in-vehicle communication environments in real time; by inputting interference data into a preset anti-interference decision model and outputting the optimal communication strategy, it can realize intelligent interference identification and response, which can significantly improve the stability, anti-interference ability and data transmission quality of Bluetooth connections; users do not need to manually adjust the connection settings, which can effectively avoid problems such as disconnection and audio freeze in high-interference scenarios, improve the overall in-vehicle Bluetooth usage experience, and is especially suitable for scenarios with high stability requirements such as navigation voice, phone calls, and audio playback. In summary, the in-vehicle Bluetooth anti-interference method provided by this application can achieve high stability and strong anti-interference of in-vehicle Bluetooth in complex interference scenarios by sensing environmental interference in real time and making intelligent decisions to optimize communication strategies. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present description. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:
[0019] Figure 1 A flowchart of a vehicle-mounted Bluetooth anti-interference method provided in an embodiment of the present application;
[0020] Figure 2 A schematic diagram of the structure of a vehicle-mounted Bluetooth anti-interference device provided in an embodiment of the present application;
[0021] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0022] Terms in the specification, claims, and drawings of this application, such as "first," "second," "third," "fourth," and the like (if any), are used to distinguish between similar objects, rather than to describe a particular order or precedence. Therefore, it is understood that these terms can be used interchangeably where appropriate, so that the embodiments described can be implemented in a different order, unless otherwise specified in the drawings or descriptions. In addition, the terms "is" and "has" and any variations thereof in this application are intended to cover all possible constituent elements on a non-exclusive basis. For example, a process, method, system, product, or apparatus that includes several steps or units is not necessarily limited to the steps or units that are explicitly listed, but may also include other steps or units that are not explicitly listed, or steps or units that are inherent to the process, method, product, or apparatus.
[0023] In this application, a "module" or "unit" refers to a computer program or part of a computer program that has a specific function and works in conjunction with other related parts to achieve a predetermined goal. These modules or units can be implemented by software, hardware (such as processing circuits or memories), or a combination of the two. One or more processors or memories can implement one or more modules or units. At the same time, each module or unit can also be part of a larger module or unit.
[0024] The technical solutions in this application will be described in detail below in conjunction with the accompanying drawings in the embodiments. It should be noted that the embodiments described are only part of this application, not all embodiments. In the following description, the "some embodiments" mentioned are only a subset of all possible embodiments, which may be the same or different subsets, and different embodiments can be combined with each other without conflict.
[0025] Figure 1 This is a flow chart of a vehicle-mounted Bluetooth anti-interference method provided by an embodiment of the present application. Figure 1 The vehicle-mounted Bluetooth anti-interference method provided in the embodiment of the present application may include the following steps 101 to 103:
[0026] Step 101: Acquire real-time interference data of the vehicle Bluetooth environment, wherein the real-time interference data may include wireless signal parameters, environmental characteristic parameters, and device interference parameters;
[0027] In some examples, in-vehicle Bluetooth refers to a Bluetooth communication module integrated into a car's infotainment system or onboard control unit, primarily used to enable data exchange between the vehicle and user devices, such as calls, audio playback, and navigation voice synchronization. Real-time interference data refers to wireless signal interference information that may affect the communication performance of in-vehicle Bluetooth in its current operating scenario, including interference from the external environment and in-vehicle devices. Wireless signal parameters are basic signal metrics used to measure the current communication quality of the Bluetooth link. They can include the in-vehicle Bluetooth received signal strength indicator, bit error rate, signal-to-noise ratio, and adjacent Wi-Fi channel occupancy. They can be collected in real time by the Bluetooth chip, in-vehicle wireless module, and multi-source wireless signal sensors. Environmental characteristic parameters are the type and interference characteristic patterns of the current environment inferred from positioning systems (such as GPS) and historical data. For example, typical scenarios include transportation hubs (densely packed with equipment), urban high-rise buildings (severe multipath interference), and underground garages (signal shielding). The current location can be obtained through the in-vehicle positioning system. A preset model, combined with a historical interference feature library, determines and labels the environmental category. Device interference parameters are characteristic parameters of electromagnetic interference generated by electronic devices in the vehicle (such as wireless chargers, LED screens, etc.). They can include information such as electromagnetic spectrum distribution, interference intensity in specific frequency bands, and activation status of interference sources. Abnormal electromagnetic signals in specific frequency bands can be detected in real time through on-board spectrum analysis modules or interference sensors.
[0028] By implementing step 101, wireless signal strength, environmental characteristics, and interference source data are collected in real time, enabling a comprehensive understanding of the current interference situation. Compared with static settings or timed sampling, real-time data acquisition makes the system more sensitive and responsive, effectively coping with dynamically changing vehicle environments, and providing an accurate and comprehensive input basis for subsequent intelligent judgment and adjustment.
[0029] Step 102: input the real-time interference data into a preset anti-interference decision model to obtain a target optimization strategy, wherein the target optimization strategy may include at least one of a frequency hopping strategy, a power adjustment strategy, and a channel coordination strategy;
[0030] In some examples, the pre-set anti-interference decision model is an interference identification and strategy decision model built through machine learning, a rules engine, or a neural network. It is used to automatically generate the optimal communication adjustment plan based on real-time interference data input. The pre-set anti-interference decision model is pre-trained during the development phase based on a large amount of Bluetooth connection scenario data, interference characteristics, and adjustment effects. It is deployed in the vehicle system and runs in real time on the edge device or main control chip. The target optimization strategy is a set of communication link adjustment plans output by the pre-set anti-interference decision model based on real-time interference data. It aims to improve the stability, anti-interference capability, and transmission quality of the Bluetooth connection. It can include frequency hopping strategy, power adjustment strategy, and channel coordination strategy, which can be used separately or in combination. The frequency hopping strategy involves intelligently hopping to avoid interfering channels and ensure that Bluetooth communicates in a cleaner frequency band. The power adjustment strategy intelligently adjusts the Bluetooth transmit power based on interference intensity and communication distance to achieve interference avoidance or energy saving. The channel coordination strategy coordinates resource usage between Bluetooth and co-frequency communication modules such as in-vehicle Wi-Fi to reduce channel conflicts.
[0031] By implementing step 102, the preset anti-interference decision model is used to analyze real-time interference data and output the optimal communication parameter adjustment strategy, which can realize the automation of Bluetooth interference identification and intelligent response. It can also make adaptive adjustments based on historical experience and real-time scene changes to improve the robustness and generalization ability of anti-interference. Compared with fixed strategies or manual intervention, the strategy output by the model is more accurate, more efficient, and more in line with the actual interference characteristics.
[0032] Step 103: adjusting the vehicle-mounted Bluetooth communication link according to the target optimization strategy;
[0033] In some examples, the communication link of the in-vehicle Bluetooth can be specifically adjusted based on the target optimization strategy output in step 102 to achieve more stable and efficient Bluetooth communication. The adjustments can include channel selection (frequency hopping), signal strength adjustment (power regulation), and collaboration with other communication modules (channel coordination). Through these adjustments, the connection quality of the in-vehicle Bluetooth is optimized, interference is reduced, and the stability and low latency of data transmission are ensured. For example, in a high-interference environment, Bluetooth uses a target optimization strategy to select a cleaner channel to avoid Wi-Fi interference. When the signal inside the car is weak, Bluetooth automatically increases the transmission power to ensure stable communication. When Wi-Fi occupancy is high, Bluetooth uses a time division multiplexing strategy to stagger the time period with the Wi-Fi module to reduce interference.
[0034] By implementing step 103 and adjusting the communication parameters according to the target optimization strategy, active anti-interference and channel optimization can be achieved, and the stability and transmission efficiency of the Bluetooth connection can be improved; no user intervention is required, and it is particularly suitable for the in-vehicle environment where multiple users and multiple devices coexist, and effectively reduces problems such as disconnection, freezes, and sound quality degradation.
[0035] In summary, the embodiments of the present application can accurately determine the current source and intensity of interference by obtaining real-time interference data. Compared with traditional static solutions, it has the advantages of strong environmental adaptability and fast response speed, and can respond to complex and changeable in-vehicle communication environments in real time; by inputting interference data into a preset anti-interference decision model and outputting the optimal communication strategy, it can realize intelligent interference identification and response, which can significantly improve the stability, anti-interference ability and data transmission quality of Bluetooth connections; users do not need to manually adjust the connection settings, which can effectively avoid problems such as disconnection and audio freeze in high-interference scenarios, improve the overall in-vehicle Bluetooth usage experience, and is especially suitable for scenarios with high stability requirements such as navigation voice, phone calls, and audio playback. In summary, the in-vehicle Bluetooth anti-interference method provided by the embodiments of the present application can achieve high stability and strong anti-interference of in-vehicle Bluetooth in complex interference scenarios by sensing environmental interference in real time and making intelligent decisions to optimize communication strategies.
[0036] In some embodiments, the aforementioned step 101 may include: obtaining the aforementioned wireless signal parameters through a multi-source wireless signal sensor, wherein the wireless signal parameters may include a Bluetooth received signal strength indicator value, a channel bit error rate, and an adjacent Wi-Fi channel occupancy rate; determining the aforementioned environmental characteristic parameters based on positioning data and a historical interference feature library, wherein the environmental characteristic parameters may include a passenger transportation center mode and an urban high-rise building area mode; obtaining the aforementioned device interference parameters through electromagnetic spectrum analysis, wherein the device interference parameters may include vehicle-mounted wireless charging radiation characteristics and vehicle-mounted screen electromagnetic radiation characteristics.
[0037] In some examples, a multi-source wireless signal sensor refers to a device capable of collecting different types of wireless signal data from multiple sources. It can use multiple antennas or sensors to collect signal information from different frequency bands or different types of wireless devices. For example, multiple sensors installed in a vehicle-mounted device, such as Wi-Fi sensors and Bluetooth sensors, can monitor wireless signal strength, interference, and data quality in real time. The Bluetooth Received Signal Strength Indicator (RSSI) indicates the strength of the received Bluetooth signal, typically measured in dBm (decibel milliwatts). A higher value indicates a stronger signal. The Bluetooth module can monitor the received Bluetooth signal strength in real time in the vehicle-mounted device. The channel bit error rate (BER) measures the error rate during Bluetooth transmission, reflecting the quality of data transmission. A higher BER indicates poor signal quality, which may be caused by interference or signal attenuation. The BER can be calculated by calculating the percentage of errors in received data packets using a Bluetooth module or other wireless sensor. For example, a BER of 0.1% for a Bluetooth signal means that approximately one bit in every 1,000 transmitted bits is erroneous. The adjacent Wi-Fi channel occupancy rate indicates the degree of interference from surrounding Wi-Fi signals on a specific channel. A high occupancy rate indicates a busy Wi-Fi signal frequency band, potentially impacting Bluetooth communication quality. The Bluetooth module can scan Wi-Fi signal frequency occupancy to monitor Wi-Fi interference. For example, a Wi-Fi signal occupancy rate of 70% indicates that Wi-Fi signals are occupying a large number of available channels, potentially interfering with Bluetooth communications. Positioning data, obtained by the vehicle system using GPS or other positioning technologies, can help determine the type of environment in which the vehicle's Bluetooth is located. For example, if positioning data indicates that the vehicle is located at a high-speed rail station or airport, historical data can be used to identify these environments as high-interference areas. The historical interference signature database is a database containing historical data on interference sources in various environments (such as high-rise buildings and transportation hubs), used to predict and analyze interference in the current environment. For example, the historical interference signature database contains data on multiple high-density Wi-Fi hotspots, allowing users to quickly identify similar environments and adjust policies based on the current location of the vehicle device. The passenger transportation center mode refers to the high-density wireless device environments common in transportation hubs (such as train stations and airports), which are often accompanied by strong interference. The vehicle's onboard positioning system and a historical interference signature library can be used to identify whether a vehicle has entered such an environment. The urban high-rise area mode refers to areas where Bluetooth signal quality is unstable due to multiple signal reflections and building obstruction. The vehicle's positioning data and a historical interference signature library can be used to determine whether the vehicle has entered an urban area with dense high-rise buildings.Electromagnetic spectrum analysis is the process of determining interference sources by analyzing electromagnetic wave interference in different frequency bands, especially those devices that affect wireless communications such as wireless chargers and displays; the vehicle-mounted wireless charging radiation signature refers to the electromagnetic radiation generated by the wireless charging device when it is working, which may interfere with nearby Bluetooth signals; the vehicle-mounted screen electromagnetic radiation signature refers to the electromagnetic radiation generated by the vehicle-mounted screen (such as vehicle-mounted display, LED screen, etc.) which may also interfere with Bluetooth communications.
[0038] Through the implementation of the above embodiments, the interference source is comprehensively perceived in multiple dimensions, which can achieve more refined and accurate interference identification; through the integrated analysis of the interference effects of the external environment and the equipment inside the vehicle, the adaptability and accuracy of the anti-interference strategy can be improved, which is closer to the actual usage scenario.
[0039] In some embodiments, the aforementioned frequency hopping strategy may include: determining the available channel set based on wireless signal parameters; determining the channel interference probability distribution through a preset timing prediction model; generating a target frequency hopping sequence based on the available channel set and the channel interference probability distribution; and performing frequency hopping on the in-vehicle Bluetooth according to the target frequency hopping sequence.
[0040] In some examples, the available channel set refers to a set of wireless channels that the in-vehicle Bluetooth device can select for communication in a given wireless environment. These channels are channels that are not occupied or interfered with by other devices. The frequency bands or channels that the Bluetooth device can currently use can be identified and determined by scanning the surrounding wireless signals. For example, the Bluetooth device scans and evaluates the signal strength of Wi-Fi, Bluetooth, or other devices and selects those channels with the least interference. For example, if the in-vehicle Bluetooth detects that there are multiple Wi-Fi signals occupying different channels in the 2.4GHz band, the channel with less interference can be selected as the available channel set. The preset time series prediction model is a model based on historical data and time series analysis, which is used to predict the future interference or usage probability of different channels. The data acquisition system can be used to collect and analyze the interference strength or usage of channels in different time periods to establish a preset time series prediction model. For example, if historical data shows that a certain channel often has a higher probability of interference during the morning rush hour, the model will predict that the interference level of the channel will be higher in similar time periods in the future. The channel interference probability distribution refers to the distribution of the likelihood of a channel being interfered with at different times and channels. It can help assess the degree of interference on different channels during specific periods of time. For example, if channel 1 has an 80% probability of interference during the day and channel 6 has a 30% probability of interference, then channel 1 has a higher risk of interference. The target frequency hopping sequence is a channel hopping sequence selected by the Bluetooth device based on the set of available channels and the interference probability distribution to reduce interference and optimize communication quality. An optimal frequency hopping sequence can be generated based on the analyzed interference probability and the set of available channels. For example, channels with lower interference probabilities are prioritized and high-interference channels are avoided. For example, if the interference probability of channel 6 is low, the system may generate a sequence such as channel 6 → channel 11 → channel 1, and perform frequency hopping in this order. Frequency hopping execution refers to the in-vehicle Bluetooth device switching channels according to the generated target frequency hopping sequence to avoid interference and optimize communication quality.
[0041] Through the implementation of the above embodiments, compared with traditional random frequency hopping or preset frequency hopping strategies, the preset timing prediction model helps to give priority to frequency hopping paths with less interference and higher channel quality, thereby improving data continuity and anti-interference capabilities.
[0042] In some embodiments, the aforementioned generation of the target frequency hopping sequence based on the available channel set and the channel interference probability distribution may include: sorting the available channel set according to the historical connection success rate to obtain an initial candidate sequence; and weighting the initial candidate sequence according to the channel interference probability distribution to obtain the target frequency hopping sequence.
[0043] In some examples, the historical connection success rate refers to the proportion of successful connections between the in-vehicle Bluetooth device and other devices during past communications. The historical connection success rate can reflect the connection quality and stability of different channels in actual applications. The historical connection success rate can be determined by long-term monitoring and recording of the connection status of different channels and calculating the connection success rate of each channel. For example, if the historical connection success rate of channel 1 is 95%, and the historical connection success rate of channel 6 is 70%, then channel 1 performed better in past communications and has higher stability. The initial candidate sequence is obtained by sorting the available channel set according to the historical connection success rate. For example, assuming the available channel set is channels 1, 6, and 11, after sorting, channel 1 is ranked first, channel 6 is ranked second, and channel 11 is ranked last, forming the initial candidate sequence: channel 1 → channel 6 → channel 11. By analyzing the interference probability distribution of the channels, the initial candidate sequence is adjusted according to the interference risk of the channels, and a new weight is assigned to each channel to obtain the final target frequency hopping sequence. Channels with lower interference probability receive higher weights, while channels with higher interference probability receive lower weights. For example, if the interference probability of channel 6 is lower, the weight of channel 6 may be increased, while the interference probability of channel 1 is higher and its weight is reduced. Therefore, the target frequency hopping sequence may be adjusted to: channel 6 → channel 1 → channel 11.
[0044] Through the implementation of the above embodiment, based on the dual weighted adjustment of historical connection success rate + interference probability distribution, the frequency hopping strategy is made more targeted and predictable, which can further improve the stability and reliability of the frequency hopping strategy and reduce problems such as false hopping and wrong hopping.
[0045] In some embodiments, the aforementioned power adjustment strategy may include: determining the initial transmission power level based on the mapping relationship between the Bluetooth received signal strength indication value and the environmental characteristic parameters; generating a power compensation coefficient based on the device interference parameters; and determining the transmission power output value of the vehicle-mounted Bluetooth based on the initial transmission power level and the power compensation coefficient.
[0046] In some examples, the initial transmit power level refers to the Bluetooth signal transmission power preliminarily determined based on the Bluetooth received signal strength indicator value and environmental characteristic parameters. The initial transmit power level reflects the transmit power required in the current communication link to ensure stable transmission of the Bluetooth signal. For example, if the Bluetooth received signal is weak in the vehicle environment and there are multiple Wi-Fi devices working, the system will calculate a higher initial transmit power based on this condition, such as a transmit power level of 10dBm. The power compensation coefficient is a coefficient calculated by a specific algorithm based on the impact of environmental interference sources on the signal. It is used to adjust the initial transmit power. The compensation coefficient is introduced to correct the electromagnetic interference and environmental factors of the device so that the final transmit power can adapt to the current interference situation. For example, if the vehicle wireless charger emits strong interference, the power compensation coefficient may increase, thereby increasing the transmit power of the Bluetooth signal and offsetting the interference caused by wireless charging. The transmit power output value is the actual power value of the Bluetooth device's transmitted signal. The transmit power output value is based on the initial transmit power level and the power compensation factor after adjustment to ensure that Bluetooth communication can be stable in an interference environment. For example, assuming the initial transmit power level is 10dBm and the power compensation factor is 1.5, the final transmit power output value may be 15dBm.
[0047] By implementing the above embodiments, channel interference and increased power consumption due to excessive power, or connection interruption due to insufficient power can be avoided, and the balance and stability of Bluetooth connections under different interference intensities and scenarios can be guaranteed, thereby optimizing communication energy consumption.
[0048] In some embodiments, the aforementioned channel coordination strategy may include: when it is detected that the occupancy rate of an adjacent Wi-Fi channel exceeds a preset occupancy rate limit, sending a frequency band switching instruction to the on-board Wi-Fi module to switch to the 5GHz frequency band; when the frequency band of the on-board Wi-Fi module cannot be switched to the 5GHz frequency band, determining the adjustment period ratio based on the device interference parameter; based on the adjustment period ratio, the Bluetooth communication period of the on-board Bluetooth and the Wi-Fi communication period of the on-board Wi-Fi module implement a time division multiplexing strategy.
[0049] In some examples, the preset occupancy limit is a set threshold that indicates the occupancy level of a Wi-Fi channel. When the occupancy of an adjacent Wi-Fi channel exceeds the preset occupancy limit, relevant measures, such as switching frequency bands, are taken to avoid interference. For example, if the preset occupancy limit is set to 80%, when the occupancy of a Wi-Fi channel exceeds this value, it is determined that there is significant interference and appropriate switching measures are taken. A frequency band switching instruction to switch to the 5GHz band refers to a command sent to the on-board Wi-Fi module when the occupancy of an adjacent Wi-Fi channel is detected to be too high, instructing it to switch to the 5GHz band to avoid interference from the 2.4GHz band. When the vehicle's Wi-Fi module cannot switch to the 5GHz band, an adjustment period ratio is calculated based on device interference parameters (such as electromagnetic radiation) to adjust the communication time periods of the vehicle's Bluetooth and Wi-Fi modules to avoid signal interference between the two. For example, if the Wi-Fi channel occupancy is too high and the Wi-Fi module cannot switch frequency bands, the time period ratio can be adjusted based on the interference intensity of the vehicle's wireless charger to allocate the Bluetooth and Wi-Fi communication time periods. A time division multiplexing strategy divides the same frequency band into multiple time periods, allowing different devices (such as the vehicle's Bluetooth and Wi-Fi modules) to communicate within their respective time periods. The calculated adjustment period ratio can be used to appropriately arrange the Bluetooth and Wi-Fi communication time periods to avoid signal interference. For example, communication time can be allocated by time period division or based on a specific timing model. If interference is detected and the system calculates a 70:30 adjustment ratio based on device interference parameters, Bluetooth communication will occupy 70% of the time period and Wi-Fi communication will occupy 30% of the time period to avoid interference.
[0050] By implementing the above embodiments, the frequency band resource conflict problem caused by the coexistence of Bluetooth and Wi-Fi in the 2.4GHz frequency band in the car can be effectively solved, mutual interference can be avoided, and the parallel and stable operation of Bluetooth audio and Wi-Fi Internet access services can be guaranteed.
[0051] In some embodiments, the aforementioned vehicle-mounted Bluetooth anti-interference method may further include: when it is detected that the Bluetooth connection quality of the aforementioned vehicle-mounted Bluetooth is less than a preset threshold, obtaining the connection status parameters of the vehicle-mounted Bluetooth, wherein the connection status parameters may include the original communication link, the paired device identifier and the cached data packet; based on the connection status parameters, establishing a backup communication link corresponding to the paired device identifier through the ultra-wideband communication module; performing a breakpoint resume operation through the backup communication link according to the transmission priority of the cached data packet; when it is detected that the Bluetooth connection quality of the vehicle-mounted Bluetooth is greater than or equal to the preset threshold, switching back to the original communication link for data synchronization.
[0052] In some examples, Bluetooth connection quality refers to the communication quality between the in-vehicle Bluetooth device and the paired device, which usually includes indicators such as signal strength, data transmission rate, and bit error rate. The Bluetooth connection quality of the in-vehicle Bluetooth can be calculated and determined by measuring the received signal strength indication and bit error rate. The preset threshold is a pre-set standard. When the Bluetooth connection quality is lower than the preset threshold, a backup communication link or other remedial measures can be initiated. The preset threshold can be determined by the system engineer or through historical data analysis. For example, when the signal strength is set to be lower than 70dBm or the bit error rate is higher than a certain percentage, the connection quality is considered poor and the backup link switch is triggered. The connection status parameters include data describing the current Bluetooth connection status, such as the current communication link, the identity of the paired device, and the data packets in the cache. Various types of information about the current connection can be obtained by reading the status data of the Bluetooth communication module. The original communication link refers to the current main Bluetooth communication link, that is, the communication path normally used between the in-vehicle Bluetooth and the paired device; for example, the Bluetooth connection path between the in-vehicle Bluetooth and the smartphone is the original communication link. The paired device identifier refers to the unique identification code of other devices that the in-vehicle Bluetooth device has been paired with. It is used to ensure that the target device can be correctly found when the backup link is connected. The Bluetooth device generates and stores identifiers related to the paired device through the pairing process; for example, after the in-vehicle Bluetooth is paired with a smartphone, the stored identifier may be the MAC address or UUID of the mobile phone. A cached data packet refers to an untransmitted data packet temporarily stored in the device due to poor connection quality or interruption in the current communication link; for example, if the Bluetooth connection is unstable during a call, part of the audio data will be temporarily stored in the cache, and this part of the audio data is the cached data packet. When the Bluetooth connection quality is lower than the preset threshold, the in-vehicle Bluetooth can use the ultra-wideband (UWB) communication module to create a backup communication link corresponding to the paired device identifier to ensure uninterrupted data transmission. The resume transmission operation refers to the continued transmission of cached data packets through the backup communication link, and the priority of the data packets determines when to transmit which data packet. For example, if the audio data between the car's Bluetooth and the smartphone is not fully transmitted, and the audio data is more important than other data packets, the audio data can be transmitted through the backup link first. Once the Bluetooth connection quality recovers to above the preset threshold, it will switch back to the original communication link and synchronize the cached data packets with the original communication link to ensure data integrity.
[0053] Through the implementation of the above embodiments, the reliability and data continuity of Bluetooth in extreme interference environments can be improved, the impact of interruptions on user experience can be reduced, and key services (such as navigation voice, calls, and music playback) can be guaranteed to be uninterrupted, which has extremely high application practical value.
[0054] Furthermore, as an implementation of the aforementioned method embodiment, the present application also provides a vehicle-mounted Bluetooth anti-interference device for implementing the aforementioned method embodiment. This device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this vehicle-mounted Bluetooth anti-interference device embodiment will no longer describe the details of the aforementioned method embodiment one by one, but it should be clear that the device in the embodiment of the present application can correspond to and implement all the contents of the aforementioned method embodiment. Figure 2 As shown, the vehicle-mounted Bluetooth anti-interference device 20 includes: a data acquisition unit 201, a strategy determination unit 202 and a strategy execution unit 203, wherein the data acquisition unit 201 is used to obtain real-time interference data of the environment in which the vehicle-mounted Bluetooth is located, wherein the aforementioned real-time interference data may include wireless signal parameters, environmental characteristic parameters and equipment interference parameters; the strategy determination unit 202 is used to input the aforementioned real-time interference data into a preset anti-interference decision model to obtain a target optimization strategy, wherein the target optimization strategy may include at least one of a frequency hopping strategy, a power adjustment strategy and a channel coordination strategy; the strategy execution unit 203 is used to adjust the communication link of the vehicle-mounted Bluetooth according to the target optimization strategy.
[0055] In some embodiments, the data acquisition unit 201 is also used to obtain wireless signal parameters through multi-source wireless signal sensors, where the wireless signal parameters include Bluetooth received signal strength indicator value, channel bit error rate and adjacent Wi-Fi channel occupancy rate; based on positioning data and historical interference feature library, determine environmental characteristic parameters, where the environmental characteristic parameters include passenger transportation center mode and urban high-rise building area mode; obtain device interference parameters through electromagnetic spectrum analysis, where the device interference parameters include vehicle-mounted wireless charging radiation characteristics and vehicle-mounted screen electromagnetic radiation characteristics.
[0056] In some embodiments, the frequency hopping strategy includes: determining a set of available channels based on wireless signal parameters; determining a channel interference probability distribution through a preset timing prediction model; generating a target frequency hopping sequence based on the available channel set and the channel interference probability distribution; and performing frequency hopping on the in-vehicle Bluetooth according to the target frequency hopping sequence.
[0057] In some embodiments, the frequency hopping strategy further includes: sorting the available channel set according to historical connection success rates to obtain an initial candidate sequence; and weighting the initial candidate sequence according to channel interference probability distribution to obtain a target frequency hopping sequence.
[0058] In some embodiments, the power adjustment strategy includes: determining the initial transmission power level based on the mapping relationship between the Bluetooth received signal strength indication value and the environmental characteristic parameters; generating a power compensation coefficient based on the device interference parameters; and determining the transmission power output value of the vehicle-mounted Bluetooth based on the initial transmission power level and the power compensation coefficient.
[0059] In some embodiments, the channel coordination strategy includes: when it is detected that the occupancy rate of an adjacent Wi-Fi channel exceeds a preset occupancy rate limit, sending a frequency band switching instruction to the on-board Wi-Fi module to switch to the 5GHz frequency band; when the frequency band of the on-board Wi-Fi module cannot be switched to the 5GHz frequency band, determining the adjustment time period ratio based on the device interference parameter; based on the adjustment time period ratio, the Bluetooth communication period of the on-board Bluetooth and the Wi-Fi communication period of the on-board Wi-Fi module implement a time division multiplexing strategy.
[0060] In some embodiments, the policy execution unit 203 is also used to obtain the connection status parameters of the vehicle-mounted Bluetooth when it is detected that the Bluetooth connection quality of the vehicle-mounted Bluetooth is less than a preset threshold, wherein the connection status parameters include the original communication link, the paired device identifier and the cached data packet; based on the connection status parameters, a backup communication link corresponding to the paired device identifier is established through the ultra-wideband communication module; according to the transmission priority of the cached data packet, a breakpoint resume operation is performed through the backup communication link; when it is detected that the Bluetooth connection quality of the vehicle-mounted Bluetooth is greater than or equal to the preset threshold, switch back to the original communication link for data synchronization.
[0061] The present application also provides a computer-readable storage medium storing computer-executable instructions or a computer program. When the computer-executable instructions or the computer program are executed by a processor, the processor will be caused to execute any step of the in-vehicle Bluetooth anti-interference method provided in the present application.
[0062] In some embodiments, the computer-readable storage medium may be a random access memory (RAM), a read-only memory (ROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); or it may be various devices including one or any combination of the above memories.
[0063] In some embodiments, computer-executable instructions may be in the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
[0064] In some embodiments, computer-executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file that stores other programs or data, for example, in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinating files (for example, files storing one or more modules, subroutines, or code portions).
[0065] In some embodiments, computer-executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one site, or on multiple electronic devices distributed across multiple sites and interconnected by a communication network.
[0066] like Figure 3 As shown, the present application also provides an electronic device 30, including a memory 310, a processor 320 and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, any step of the above-mentioned vehicle-mounted Bluetooth anti-interference method is implemented.
[0067] The present application also provides a computer program product, which includes a computer program or computer-executable instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer program or computer-executable instructions from the computer-readable storage medium and executes the computer program or computer-executable instructions, causing the electronic device to perform any step of the in-vehicle Bluetooth anti-interference method described above.
[0068] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A vehicle-mounted Bluetooth anti-interference method, characterized in that: include: Acquire real-time interference data of the vehicle Bluetooth environment, wherein the real-time interference data includes wireless signal parameters, environmental characteristic parameters, and device interference parameters; Inputting the real-time interference data into a preset anti-interference decision model to obtain a target optimization strategy, wherein the target optimization strategy includes at least one of a frequency hopping strategy, a power adjustment strategy, and a channel coordination strategy; The communication link of the in-vehicle Bluetooth is adjusted according to the target optimization strategy.
2. The vehicle-mounted Bluetooth anti-interference method according to claim 1, characterized in that: The obtaining of real-time interference data of the vehicle Bluetooth environment includes: Acquiring the wireless signal parameters through a multi-source wireless signal sensor, wherein the wireless signal parameters include a Bluetooth received signal strength indicator value, a channel bit error rate, and an adjacent Wi-Fi channel occupancy rate; Determining the environmental characteristic parameters based on the positioning data and the historical interference feature library, wherein the environmental characteristic parameters include a passenger transportation center mode and an urban high-rise area mode; The device interference parameters are obtained through electromagnetic spectrum analysis, wherein the device interference parameters include vehicle-mounted wireless charging radiation characteristics and vehicle-mounted screen electromagnetic radiation characteristics.
3. The vehicle-mounted Bluetooth anti-interference method according to claim 2, characterized in that: The frequency hopping strategy includes: Determining a set of available channels based on the wireless signal parameters; Determine the channel interference probability distribution through a preset timing prediction model; generating a target frequency hopping sequence according to the available channel set and the channel interference probability distribution; Frequency hopping is performed on the in-vehicle Bluetooth according to the target frequency hopping sequence.
4. The vehicle-mounted Bluetooth anti-interference method according to claim 3, characterized in that: Generating a target frequency hopping sequence according to the available channel set and the channel interference probability distribution includes: Sorting the available channel set according to historical connection success rates to obtain an initial candidate sequence; The initial candidate sequence is weighted and adjusted according to the channel interference probability distribution to obtain the target frequency hopping sequence.
5. The vehicle-mounted Bluetooth anti-interference method according to claim 2, characterized in that: The power regulation strategy includes: Determining an initial transmit power level according to a mapping relationship between the Bluetooth received signal strength indicator value and the environmental characteristic parameter; generating a power compensation coefficient according to the device interference parameter; The transmission power output value of the in-vehicle Bluetooth is determined according to the initial transmission power level and the power compensation coefficient.
6. The vehicle-mounted Bluetooth anti-interference method according to claim 2, characterized in that: The channel coordination strategy includes: When it is detected that the occupancy rate of the adjacent Wi-Fi channel exceeds a preset occupancy rate limit, a frequency band switching instruction to switch to the 5 GHz frequency band is sent to the vehicle-mounted Wi-Fi module; When the frequency band of the in-vehicle Wi-Fi module cannot be switched to the 5 GHz frequency band, determining the adjustment period ratio according to the device interference parameter; According to the adjusted time period ratio, the Bluetooth communication period of the in-vehicle Bluetooth module and the Wi-Fi communication period of the in-vehicle Wi-Fi module implement a time division multiplexing strategy.
7. The vehicle-mounted Bluetooth anti-interference method according to any one of claims 1 to 6, characterized in that: The vehicle-mounted Bluetooth anti-interference method further includes: When it is detected that the Bluetooth connection quality of the in-vehicle Bluetooth is less than a preset threshold, obtaining the connection status parameters of the in-vehicle Bluetooth, wherein the connection status parameters include the original communication link, the paired device identifier, and the cached data packet; Based on the connection state parameter, establishing a backup communication link corresponding to the paired device identifier through the ultra-wideband communication module; performing a breakpoint-resume transmission operation via the backup communication link according to the transmission priority of the cached data packet; When it is detected that the Bluetooth connection quality of the in-vehicle Bluetooth is greater than or equal to the preset threshold, switching back to the original communication link for data synchronization.
8. A vehicle-mounted Bluetooth anti-interference device, characterized in that: include: A data acquisition unit, configured to acquire real-time interference data of the vehicle Bluetooth environment, wherein the real-time interference data includes wireless signal parameters, environmental characteristic parameters, and device interference parameters; a strategy determination unit, configured to input the real-time interference data into a preset anti-interference decision model to obtain a target optimization strategy, wherein the target optimization strategy includes at least one of a frequency hopping strategy, a power adjustment strategy, and a channel coordination strategy; A strategy execution unit is used to adjust the communication link of the in-vehicle Bluetooth according to the target optimization strategy.
9. An electronic device comprising: A memory and a processor, wherein the processor is configured to implement the steps of the in-vehicle Bluetooth anti-interference method according to any one of claims 1 to 7 when executing the computer program stored in the memory.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the in-vehicle Bluetooth anti-interference method according to any one of claims 1 to 7 are implemented.
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