Data signal automatic adjustment method and system, storage medium and electronic equipment

Abstract

The invention provides a data signal automatic adjusting method and system, a storage medium and electronic equipment, and relates to the technical field of data processing. According to the technical scheme provided by the invention, the interference source information and the environment feature information are acquired in the preset range, the initial adjustment strategy is quickly matched in combination with the scene type, and the compensation parameter is generated based on the interference source type, so that accurate optimization of the adjustment strategy is realized. Meanwhile, through organic fusion of the interference compensation parameter and the initial adjustment strategy, the system can directly generate a target adjustment strategy adapted to the current environment, and the accuracy of signal adjustment is ensured. According to the efficient adjustment scheme, redundancy calculation and parameter adjustment processes are reduced, high adjustment precision is maintained, meanwhile, system resource overhead is remarkably reduced, and therefore on the premise that the adjustment precision is guaranteed, signal adjustment resource consumption is reduced, and the signal adjustment effect is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, system, storage medium and electronic device for automatic adjustment of data signals. Background Art

[0002] In modern communications, with the widespread adoption of wireless communication technologies and the increasing complexity of their use cases, data signal stability and transmission quality have become core issues in communication system design. To address complex and changing communication environments, automatic data signal conditioning (ADA) has been widely researched and applied. Its goal is to improve signal transmission quality by adjusting signal parameters (such as frequency, power, and coding) in real time. However, in real-time, communication environments are often affected by a variety of interference factors, such as electromagnetic interference, frequency congestion, and random noise. These interference factors can significantly reduce the signal-to-noise ratio (SNR), increase the bit error rate (BER), and even cause communication interruptions. Therefore, to ensure stable data signal transmission in complex environments, efficient automated ADA adaptation based on interference characteristics is a pressing issue.

[0003] Dynamic feedback regulation is a common method in existing data signal conditioning technologies. This approach typically monitors signal quality indicators (such as signal-to-noise ratio and bit error rate) in real time within the communication link and dynamically adjusts signal parameters based on the feedback. However, this conditioning approach has significant limitations. First, dynamic feedback regulation requires frequent monitoring and calculation of the signal environment, often requiring significant system resources. Second, due to the complexity of environmental changes and monitoring lags, dynamic feedback regulation may not be able to generate accurate adjustment parameters quickly, resulting in prolonged conditioning or insufficient accuracy. Consequently, data signal conditioning methods in related technologies struggle to balance regulation accuracy and resource consumption, leading to poor conditioning results in practical applications. Summary of the Invention

[0004] The present application provides a data signal automatic adjustment method, system, storage medium and electronic device, which can reduce signal adjustment resource consumption while ensuring adjustment accuracy, thereby improving signal adjustment effect.

[0005] In a first aspect, the present application provides a method for automatically adjusting a data signal, the method comprising:

[0006] Obtain information about interference sources and environmental characteristics of data signals within a preset range;

[0007] Determining, based on the environmental characteristic information, a scene type in which the data signal exists, the scene type corresponding to an initial adjustment strategy;

[0008] Generating an interference compensation parameter corresponding to the interference source information according to the interference source type to which the interference source information belongs;

[0009] Adjusting the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy;

[0010] The data signal is conditioned using the target conditioning strategy.

[0011] Optionally, the scene type includes a high-density interference scene type, a long-distance transmission scene type, and a high-speed movement scene type, and determining the scene type of the data signal according to the environmental characteristic information includes:

[0012] Obtaining scene type features corresponding to the high-density interference scene type, the long-distance transmission scene type, and the high-speed movement scene type, respectively;

[0013] The scene type feature is compared with the environmental feature information to determine the scene type of the data signal.

[0014] Optionally, the determining, based on the environmental characteristic information, a scene type in which the data signal is located, and the scene type corresponding to the initial adjustment strategy, further includes:

[0015] Get the initial parameter configuration corresponding to the scene type;

[0016] According to the initial parameter configuration, a mapping rule base between the scenario type and the initial adjustment strategy is constructed.

[0017] Optionally, the generating, according to the interference source type to which the interference source information belongs, an interference compensation parameter corresponding to the interference source information includes:

[0018] Obtaining initial interference compensation parameters preset for the interference source type;

[0019] Determining the interference source type to which the interference source information belongs, where the interference source type is preset with an initial interference compensation parameter;

[0020] The initial interference compensation parameter is adjusted according to the interference source information to obtain an interference compensation parameter corresponding to the interference source information.

[0021] Optionally, the interference source types include fixed interference sources, mobile interference sources and random interference sources.

[0022] Optionally, adjusting the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy includes:

[0023] Determining priority adjustment items in the initial adjustment strategy;

[0024] The priority adjustment item is adjusted using the interference compensation parameter to obtain a target adjustment strategy.

[0025] Optionally, adjusting the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy includes:

[0026] Determining priority adjustment items in the initial adjustment strategy;

[0027] The priority adjustment item is adjusted using the interference compensation parameter to obtain a target adjustment strategy.

[0028] In a second aspect, the present application provides a data signal automatic adjustment system, the system comprising:

[0029] A data acquisition module is used to obtain interference source information and environmental feature information of data signals within a preset range;

[0030] A first processing module, configured to determine a scene type in which the data signal exists based on the environmental characteristic information, wherein the scene type corresponds to an initial adjustment strategy;

[0031] A compensation module, configured to generate an interference compensation parameter corresponding to the interference source information according to the interference source type to which the interference source information belongs;

[0032] A second processing module is configured to adjust the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy;

[0033] An adjustment module is configured to adjust the data signal using the target adjustment strategy.

[0034] In a third aspect, the present application provides a computer storage medium, which stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing any one of the above methods.

[0035] In a fourth aspect, the present application provides an electronic device comprising a processor, a memory and a transceiver, wherein the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device performs any one of the above methods.

[0036] In summary, the beneficial effects brought about by the technical solution of this application include:

[0037] By adopting the above technical solution, interference source information and environmental characteristic information are obtained within a preset range, the initial adjustment strategy is quickly matched in combination with the scenario type, and compensation parameters are generated based on the interference source type, achieving precise optimization of the adjustment strategy. At the same time, by organically integrating the interference compensation parameters with the initial adjustment strategy, the system can directly generate a target adjustment strategy adapted to the current environment, ensuring the accuracy of signal adjustment. This efficient adjustment solution significantly reduces system resource overhead while maintaining high adjustment accuracy by reducing redundant calculations and parameter adjustment processes. This can reduce signal adjustment resource consumption and improve signal adjustment effect while ensuring adjustment accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of a method for automatically adjusting a data signal according to an embodiment of the present application;

[0039] Figure 2 This is a structural diagram of a data signal automatic adjustment system according to an embodiment of the present application;

[0040] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of the present application.

[0041] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0042] In order to enable people skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0043] In the description of the embodiments of this application, words such as "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0044] In the description of the embodiments of the present application, the term "multiple" means two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0045] See Figure 1 , which is a flow chart of a method for automatically adjusting data signals provided in an embodiment of the present application. This method can be implemented using a computer program, a single-chip microcomputer, or run on a data signal automatic adjustment system based on the von Neumann architecture. The computer program can be integrated into an application or run as a standalone tool application. The specific steps of the method for automatically adjusting data signals are described in detail below.

[0046] S101: Obtain interference source information and environmental feature information of a data signal within a preset range.

[0047] Interference source information refers to a set of characteristic data about various interference sources that affect data signal transmission within a preset range, specifically including parameters such as the interference source's location information, signal strength, frequency characteristics, interference direction, and interference duration. In the embodiments of the present application, interference source information is used to characterize the degree and characteristics of the interference source's impact on the data signal.

[0048] Environmental characteristic information refers to a set of characteristic data about external environmental factors that affect the quality of data signal transmission. This characteristic data set includes parameters such as the physical characteristics of the signal transmission scenario (such as building density and obstacle distribution), geographical characteristics (such as transmission distance and topography), electromagnetic environment (such as background noise and spectrum occupancy), and network load (such as traffic density and user distribution). In the embodiments of the present application, environmental characteristic information is primarily used to accurately identify the scenario type in which the data signal is located, thereby providing an environmental basis for formulating appropriate signal conditioning strategies. By analyzing and processing environmental characteristic information, the system can assess the complexity of the signal transmission environment, predict potential signal quality issues, and optimize conditioning strategies accordingly, thereby achieving high-quality data signal transmission.

[0049] In this embodiment, since data signals are easily affected by various interference sources and environmental factors during transmission, resulting in signal quality degradation, it is necessary to first obtain interference source information and environmental feature information within a preset range for the data signal to provide basic data support for subsequent signal adjustment. The preset range can be set according to the actual application scenario.

[0050] Specifically, the system acquires interference source information through multiple signal acquisition devices deployed within a preset range. These devices monitor and record, in real time, parameters such as the interference source's location, signal strength, frequency characteristics, interference direction, and duration. Furthermore, the system uses a network of environmental sensors to collect environmental characteristics, including the physical characteristics of the signal transmission scenario, geographical features, meteorological conditions, electromagnetic environment, and network load. The collected interference source and environmental characteristics information is transmitted to the central processing unit for storage and processing.

[0051] During the acquisition process, the system employs an adaptive sampling strategy, dynamically adjusting the sampling frequency based on changes in signal quality. When a significant change in signal quality is detected, the system increases the sampling frequency to obtain more detailed information about interference sources and environmental characteristics. When signal quality remains relatively stable, the sampling frequency is reduced to conserve system resources. Furthermore, the system incorporates a data filtering mechanism that uses preset thresholds to filter out significantly abnormal sampled data, ensuring accurate and reliable information.

[0052] S102: Determine the scene type of the data signal according to the environmental characteristic information, and the scene type corresponds to the initial adjustment strategy.

[0053] Among them, the scene type refers to the different application environment categories in which the data signal is located during the transmission process. According to the different combination characteristics of the environmental characteristic information, it can be divided into high-density interference scene type, long-distance transmission scene type and high-speed mobile scene type. Among them, the high-density interference scene type usually appears in areas with dense signal sources and complex electromagnetic environments; the long-distance transmission scene type mainly refers to situations where the signal transmission distance is long and is easily affected by the terrain; the high-speed mobile scene type corresponds to situations where the signal transceiver equipment moves at high speed. In an embodiment of the present application, the identification of the scene type is used to determine the initial adjustment strategy suitable for the current transmission environment. By comparing the environmental characteristic information with the preset scene type characteristics, the system can accurately determine the specific scene type in which the data signal is located.

[0054] Among them, the initial adjustment strategy refers to a set of basic signal adjustment parameters and execution plans selected by the system from a pre-established adjustment strategy library based on the identified scenario type. The strategy includes adjustment parameter configurations in multiple dimensions such as signal strength adjustment, frequency modulation, phase compensation, and beamforming. These parameter configurations have been verified by system testing and can perform basic optimization for interference characteristics and environmental characteristics under specific scenario types. In the embodiment of the present application, the initial adjustment strategy serves as the starting configuration scheme for signal adjustment, which is used to quickly establish preliminary adjustments to the data signal and provide a benchmark reference for subsequent strategy optimization.

[0055] Specifically, the system inputs the acquired environmental feature information into a pre-trained scene recognition model for analysis. The model calculates the degree of match between the current environmental features and the preset scene type features by comprehensively processing parameters such as the physical characteristics, geographical characteristics, meteorological conditions, electromagnetic environment, and network load of the signal transmission scene. When the matching degree of a certain type of scene exceeds the preset threshold, the system can determine the specific scene type in which the data signal is located, including a high-density interference scene type, a long-distance transmission scene type, or a high-speed mobile scene type. For example, when it is detected that the building density is high, the electromagnetic interference sources are dense, and the network load is heavy in the environmental feature information, the system will identify it as a high-density interference scene type.

[0056] After determining the scenario type, the system automatically calls the appropriate initial adjustment strategy from the adjustment strategy library. Each scenario type has its own specific initial adjustment strategy, which includes parameter configurations such as signal strength adjustment, frequency modulation, phase compensation, and beamforming tailored to the specific scenario. The system uses the selected initial adjustment strategy as the basis for subsequent signal adjustment processes.

[0057] Based on the above embodiment, as an optional implementation, step S102 further includes S201-S202.

[0058] S201: Obtain scene type features corresponding to a high-density interference scene type, a long-distance transmission scene type, and a high-speed movement scene type, respectively.

[0059] Among them, the high-density interference scenario type refers to an environment in which data signals are transmitted in an environment with dense interference sources, high signal interference intensity, and complex conditions. This type of scenario typically has the following environmental characteristics: high signal source distribution density, high building density, complex electromagnetic environment, crowded spectrum resources, heavy network load, significant multipath effects, and frequent signal reflection and diffraction. In the embodiments of the present application, the identification of high-density interference scenario types allows the system to quickly invoke the corresponding anti-interference enhanced initial adjustment strategy.

[0060] Among them, the long-distance transmission scenario type refers to the type of environment in which data signals need to be transmitted over long distances, the signal attenuation on the transmission path is obvious, and it is easily affected by the terrain and atmospheric environment. This type of scene usually has the following environmental characteristics: long signal transmission distance, large terrain fluctuations, significant atmospheric influence, large signal path loss, severe free space attenuation, obvious Doppler frequency shift, and long signal delay. In an embodiment of the present application, the identification of the long-distance transmission scenario type is used for the system to quickly call the corresponding path compensation type initial adjustment strategy, which focuses on signal power compensation, path loss correction, delay compensation, and Doppler effect correction, thereby ensuring effective coverage and stable reception of data signals under long-distance transmission conditions.

[0061] The high-speed mobile scenario type refers to an environment in which the transmitter or receiver of a data signal is in high-speed motion, and signal transmission is affected by the Doppler effect, rapid fading, and frequent switching. This type of scenario typically has the following environmental characteristics: high relative speed of the signal transceiver equipment, rapid changes in signal strength, severe Doppler frequency shift, rapid time-varying channel characteristics, high switching frequency, short channel correlation time, and short signal coherence time. In the embodiment of the present application, the identification of the high-speed mobile scenario type is used by the system to quickly invoke the corresponding dynamic tracking initial adjustment strategy.

[0062] The scene type feature refers to the combination of typical environmental characteristic parameters and their threshold ranges for various scenarios pre-stored by the system. These characteristic parameters cover characteristic data and their changing patterns in multiple dimensions, such as the physical characteristics, geographical characteristics, electromagnetic environment, and network load of the signal transmission scene. In the embodiment of the present application, the scene type feature is used to calculate and compare the matching degree with the environmental characteristic information obtained in real time. Through the preset feature matching algorithm, the system can accurately identify the specific scene type of the data signal.

[0063] The system uses a pre-established feature database to obtain the corresponding scenario characteristics for high-density interference scenarios, long-distance transmission scenarios, and high-speed mobility scenarios. The characteristic parameters for high-density interference scenarios include signal source density, interference signal strength, spectrum resource occupancy, and network load level; the characteristic parameters for long-distance transmission scenarios include signal transmission distance, path loss, and signal delay; and the characteristic parameters for high-speed mobility scenarios include relative motion speed, Doppler shift, channel correlation time, and switching frequency. By acquiring these preset scenario characteristics, the system can establish a baseline reference for scene recognition, providing a basis for subsequent feature matching and scene discrimination.

[0064] S202: Compare the scene type feature with the environmental feature information to determine the scene type of the data signal.

[0065] In this embodiment, the acquired environmental feature information is preprocessed and standardized to ensure that its format is consistent with the preset scene type characteristics. The system then uses a feature matching algorithm to calculate the similarity between the environmental feature information and the characteristics of each scene type. This algorithm calculates the weighted matching degree between feature vectors by setting feature weight coefficients and comprehensively considering the importance of each feature parameter. When the matching degree between a scene type feature and the current environmental feature information exceeds a preset threshold, the system determines the specific scene type of the data signal.

[0066] Based on the above embodiment, as an optional implementation, before step S102, the method further includes obtaining an initial parameter configuration corresponding to the scenario type; and constructing a mapping rule base between the scenario type and the initial adjustment strategy according to the initial parameter configuration.

[0067] To quickly and accurately match scenario types with initial adjustment strategies, the system requires a comprehensive mapping rule library. First, the system obtains the initial parameter configurations corresponding to each scenario type. These parameter configurations are optimized parameter combinations derived from extensive experimental data and theoretical analysis. For high-density interference scenarios, the initial parameter configurations primarily include interference suppression thresholds, spectrum allocation strategies, and power control parameters. For long-distance transmission scenarios, the initial parameter configurations include path compensation coefficients, delay compensation parameters, and power boost factors. For high-speed mobility scenarios, the initial parameter configurations include Doppler compensation parameters, channel estimation period, and beam tracking coefficients. After obtaining these initial parameter configurations, the system constructs a mapping rule library, associating each scenario type with its corresponding initial adjustment strategy. This mapping rule library utilizes a multidimensional index structure that not only includes the direct mapping between scenario types and adjustment strategies, but also encompasses the association constraints and priority rules between various parameters. By establishing this mapping rule library, the system can quickly invoke the most appropriate initial adjustment strategy after identifying a specific scenario type.

[0068] S103: Generate interference compensation parameters corresponding to the interference source information according to the interference source type to which the interference source information belongs.

[0069] Among them, the types of interference sources can be divided into fixed interference sources, mobile interference sources and random interference sources according to their location and activity characteristics. Among them, fixed interference sources refer to interference sources with fixed locations and relatively stable interference characteristics, such as interference generated by fixed communication base stations, industrial equipment, etc.; mobile interference sources refer to interference sources with location mobility and regularly changing interference characteristics, such as interference generated by mobile terminals, transport vehicles, etc.; random interference sources refer to interference sources with random locations and interference characteristics, such as interference generated by temporary communication equipment, transient electromagnetic pulses, etc. In the embodiment of the present application, the classification of interference source types is used by the system to accurately identify the main sources of interference in the current environment.

[0070] Among them, interference compensation parameters refer to system adjustment parameters used to offset or weaken the effects of various interference sources, including but not limited to interference suppression coefficient, power compensation factor, frequency offset correction value, phase compensation coefficient, etc. These parameters are derived by analyzing and modeling the characteristics of the interference signal and can effectively compensate for different types of interference sources. In an embodiment of the present application, the interference compensation parameters are used by the system to dynamically adjust the signal processing strategy based on the identified interference source type.

[0071] During implementation, the system first analyzes the characteristics of the interference source information, including the frequency, power, time domain, and spatial characteristics of the interference signal, and categorizes it as fixed, mobile, or random. For fixed interference sources, the system generates stable interference suppression coefficients and power compensation factors to offset the long-term interference effects of their fixed characteristics. For mobile interference sources, the system generates dynamic frequency offset correction values ​​and phase compensation coefficients based on their motion characteristics to adapt to the regular changes in the interference characteristics. For random interference sources, the system uses an adaptive algorithm to calculate the interference compensation parameters in real time to quickly respond to random changes in the interference characteristics. Through this compensation parameter generation mechanism based on the interference source type, the system can provide targeted compensation strategies for different types of interference sources.

[0072] Based on the above embodiment, as an optional implementation method, step S103 specifically also includes obtaining the initial interference compensation parameters preset for the interference source type; determining the interference source type to which the interference source information belongs, the interference source type is preset with the initial interference compensation parameters; adjusting the initial interference compensation parameters according to the interference source information to obtain the interference compensation parameters corresponding to the interference source information.

[0073] During specific implementation, the system obtains the initial interference compensation parameters corresponding to each interference source type from a preset parameter library. These parameters are optimized benchmark values ​​based on a large amount of historical data and experimental analysis. When the system receives real-time interference source information, it classifies it as a fixed interference source, a mobile interference source, or a random interference source through feature analysis, and calls the preset initial interference compensation parameters for that type. Subsequently, the system fine-tunes the initial interference compensation parameters based on the specific characteristics of the current interference source information, such as interference intensity, frequency offset, phase change, etc. For fixed interference sources, the amplitude of the interference suppression coefficient is mainly adjusted; for mobile interference sources, the focus is on optimizing the frequency offset correction value and the phase compensation coefficient; for random interference sources, multiple compensation parameters are comprehensively adjusted to adapt to their random characteristics.

[0074] S104: Adjust the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy.

[0075] The target adjustment strategy refers to a data signal quality optimization scheme for a specific transmission scenario, including a combination of parameter configurations such as signal gain adjustment, frequency compensation, phase correction, and power control. This strategy is an optimized adjustment scheme determined based on a combination of multiple factors, including scenario characteristics, interference conditions, and channel conditions. In the embodiments of this application, the target adjustment strategy is used by the system to adaptively adjust various transmission parameters based on the actual conditions of the current transmission environment.

[0076] In this embodiment, the system first analyzes the currently acquired interference compensation parameters, including the interference suppression coefficient, power compensation factor, frequency offset correction value, and phase compensation coefficient, and assesses their impact on signal transmission performance. The system then correlates these interference compensation parameters with the various parameters in the initial adjustment strategy and adjusts the initial adjustment strategy accordingly based on the interference compensation requirements. When the interference suppression coefficient is large, the system increases the signal gain parameter accordingly; when the frequency offset correction value is significant, the system increases frequency compensation; when the phase compensation coefficient changes dramatically, the system strengthens the phase correction mechanism; and when the power compensation factor increases, the system optimizes the power control strategy.

[0077] Based on the above embodiment, as an optional implementation, step S104 further includes determining a priority adjustment item in the initial adjustment strategy; and adjusting the priority adjustment item using the interference compensation parameter to obtain a target adjustment strategy.

[0078] Among them, priority adjustment items refer to key parameter items that need to be given priority consideration and configuration during the signal transmission parameter adjustment process. These parameters have a significant impact on system performance and transmission quality, including but not limited to core parameters such as interference suppression gain, signal power threshold, frequency compensation coefficient, and phase adjustment factor. The adjustment priority of these parameters is determined based on the degree of their impact on the overall performance of the system. In an embodiment of the present application, priority adjustment items are used to reasonably allocate adjustment order and resources when the system executes the adjustment strategy, and to quickly improve system performance by prioritizing the configuration of key parameters to ensure the best optimization effect within a limited adjustment time.

[0079] In this embodiment, the system identifies the priority adjustment items that have the most significant impact on signal transmission quality from the initial adjustment strategy. These parameters include core parameters such as interference suppression gain, signal power threshold, frequency compensation coefficient, and phase adjustment factor. During the identification process, the system quantitatively evaluates and ranks the importance of these parameters based on the current transmission environment characteristics and historical optimization experience. After determining the priority adjustment items, the system prioritizes the use of the obtained interference compensation parameters to accurately adjust these key parameters. Specifically, the system uses the interference suppression coefficient to adjust the interference suppression gain, the power compensation factor to optimize the signal power threshold, the frequency offset correction value to update the frequency compensation coefficient, and the phase compensation coefficient to correct the phase adjustment factor. Through this priority adjustment mechanism, the system can complete the optimal configuration of the most critical parameters in a relatively short period of time and quickly form a highly targeted target adjustment strategy.

[0080] S105: Use the target adjustment strategy to adjust the data signal.

[0081] Specifically, the system first preprocesses the received data signal according to the parameters configured in the target adjustment strategy. This includes interference suppression based on the interference suppression gain, power control using the signal power threshold, frequency offset correction using the frequency compensation coefficient, and phase distortion correction using the phase adjustment factor. During the signal adjustment process, the system strictly adheres to the configuration requirements of each parameter in the target adjustment strategy to ensure accuracy and consistency. This signal processing mechanism based on the target adjustment strategy effectively suppresses the influence of various interference sources, improves the signal-to-noise ratio, reduces the bit error rate, and significantly improves the transmission quality of data signals.

[0082] Based on the above embodiment, as an optional implementation method, step S105 also includes obtaining signal indicator information of the data signal; scoring the signal quality of the data signal based on the signal indicator information to generate a signal quality score; when the signal quality score is lower than a preset threshold, regenerating the target adjustment strategy.

[0083] In this embodiment, in order to ensure the continuous optimization of the data signal adjustment effect, the system needs to establish a dynamic evaluation and adjustment mechanism based on feedback. The system first obtains the signal index information of the adjusted data signal in real time, including key performance indicators such as signal-to-noise ratio, bit error rate, signal strength, and spectrum purity. After obtaining these index information, the system adopts a multi-dimensional weighted scoring model to comprehensively consider the importance and actual performance of each indicator, quantitatively evaluate the transmission quality of the data signal, and generate a signal quality score that reflects the current signal quality level. When the system detects that the signal quality score is lower than the preset performance threshold, it means that the current target adjustment strategy has failed to achieve the expected optimization effect. At this time, the system will trigger the strategy regeneration mechanism. When regenerating the target adjustment strategy, the system will be based on the latest interference compensation parameters, combined with the effect feedback of the previous strategy adjustment, to make more accurate parameter configurations for the priority adjustment items, thereby forming a more targeted adjustment plan.

[0084] The following are system embodiments of the present application, which can be used to implement the method embodiments of the present application. For details not disclosed in the system embodiments of the present application, please refer to the method embodiments of the present application.

[0085] See Figure 2 , which shows a schematic diagram of the structure of a data signal automatic adjustment system provided by an exemplary embodiment of the present application. The system can be implemented as all or part of the system through software, hardware, or a combination of both. The data signal automatic adjustment system includes:

[0086] A data acquisition module is used to obtain interference source information and environmental feature information of data signals within a preset range;

[0087] A first processing module is used to determine the scene type of the data signal according to the environmental characteristic information, and the scene type corresponds to the initial adjustment strategy;

[0088] A compensation module, configured to generate interference compensation parameters corresponding to the interference source information according to the interference source type to which the interference source information belongs;

[0089] A second processing module is used to adjust the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy;

[0090] The adjustment module is used to adjust the data signal using the target adjustment strategy.

[0091] An embodiment of the present application also provides a computer storage medium, which can store multiple instructions. The instructions are suitable for being loaded by a processor and executing the data signal automatic adjustment method of the above embodiment. The specific execution process can be found in the specific description of the embodiment and will not be repeated here.

[0092] See Figure 3, is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 As shown, the electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0093] The communication bus 302 is used to implement the connection and communication between these components.

[0094] The user interface 303 may include a standard wired interface or a wireless interface.

[0095] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0096] The processor 301 may include one or more processing cores. Using various interfaces and circuits, the processor 301 connects to various components within the server. It executes instructions, programs, code sets, or instruction sets stored in the memory 305, as well as accesses data stored in the memory 305, to perform various server functions and process data. Optionally, the processor 301 may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor 301 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing content displayed on the display screen; and the modem handles wireless communications. It is understood that the modem may not be integrated into the processor 301 but implemented as a separate chip.

[0097] Among them, the memory 305 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may also be optionally at least one storage device located away from the aforementioned processor 301. As Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a data signal automatic adjustment method.

[0098] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call an application program for a data signal automatic adjustment method stored in the memory 305. When executed by one or more processors, the electronic device executes one or more methods in the above-mentioned embodiments.

[0099] An electronic device readable storage medium stores instructions, which, when executed by one or more processors, enable the electronic device to execute one or more methods in the above embodiments.

[0100] It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for this application.

[0101] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic, such as the division of units, which is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interface, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0103] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0104] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0105] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of this application. The aforementioned memory includes various media that can store program code, such as USB flash drives, mobile hard drives, magnetic disks, or optical disks.

[0106] The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the field of the present technology that are not recorded in the present disclosure.

Claims

1. A method for automatically adjusting a data signal, characterized in that: The method comprises: Obtain information about interference sources and environmental characteristics of data signals within a preset range; Determining, based on the environmental characteristic information, a scene type in which the data signal exists, the scene type corresponding to an initial adjustment strategy; Generating an interference compensation parameter corresponding to the interference source information according to the interference source type to which the interference source information belongs; Adjusting the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy; The data signal is conditioned using the target conditioning strategy.

2. The method according to claim 1, characterized in that The scene type includes a high-density interference scene type, a long-distance transmission scene type, and a high-speed movement scene type. Determining the scene type of the data signal according to the environmental characteristic information includes: Obtaining scene type features corresponding to the high-density interference scene type, the long-distance transmission scene type, and the high-speed movement scene type, respectively; The scene type feature is compared with the environmental feature information to determine the scene type of the data signal.

3. The method according to claim 1, characterized in that Before determining the scene type of the data signal according to the environmental characteristic information, and the scene type corresponding to the initial adjustment strategy, the method further includes: Get the initial parameter configuration corresponding to the scene type; According to the initial parameter configuration, a mapping rule base between the scenario type and the initial adjustment strategy is constructed.

4. The method according to claim 1, wherein The generating, according to the interference source type to which the interference source information belongs, an interference compensation parameter corresponding to the interference source information includes: Obtaining initial interference compensation parameters preset for the interference source type; Determining the interference source type to which the interference source information belongs, where the interference source type is preset with an initial interference compensation parameter; The initial interference compensation parameter is adjusted according to the interference source information to obtain an interference compensation parameter corresponding to the interference source information.

5. The method according to claim 4, characterized in that The interference source types include fixed interference sources, mobile interference sources and random interference sources.

6. The method according to claim 1, characterized in that The adjusting the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy includes: Determining priority adjustment items in the initial adjustment strategy; The priority adjustment item is adjusted using the interference compensation parameter to obtain a target adjustment strategy.

7. The method according to claim 1, characterized in that After adjusting the data signal using the target adjustment strategy, the method further includes: Obtaining signal indicator information of the data signal; Scoring the signal quality of the data signal based on the signal indicator information to generate a signal quality score; When the signal quality score is lower than a preset threshold, the target adjustment strategy is regenerated.

8. A data signal automatic adjustment system, characterized in that: The system comprises: A data acquisition module is used to obtain interference source information and environmental feature information of data signals within a preset range; A first processing module, configured to determine a scene type in which the data signal exists based on the environmental characteristic information, wherein the scene type corresponds to an initial adjustment strategy; A compensation module, configured to generate an interference compensation parameter corresponding to the interference source information according to the interference source type to which the interference source information belongs; A second processing module is configured to adjust the initial adjustment strategy according to the interference compensation parameter to obtain a target adjustment strategy; An adjustment module is configured to adjust the data signal using the target adjustment strategy.

9. A computer storage medium, characterized in that The computer storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises a processor, a memory and a transceiver, wherein the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

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