Communication signal optimization method and device, computer equipment and storage medium
By monitoring and switching to an appropriate operating frequency band, and by taking targeted measures based on the type of interference, the problem of signal attenuation and interruption in wireless communication under complex scenarios is solved, thereby improving communication stability and reliability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-19
- Publication Date
- 2026-03-13
AI Technical Summary
Existing wireless communication technologies are difficult to adapt to complex scenarios with many devices, resulting in signal attenuation, transmission rate fluctuations, and connection interruptions, which affect user experience and business continuity.
By acquiring the candidate operating frequency bands and current status parameters of the target terminal, the anti-interference strength is monitored, the target operating frequency band is switched to an appropriate one, the type of interference is detected, and targeted anti-interference processing is performed, including feature extraction and processing of interference inside and outside the frequency band.
It significantly improves the stability and reliability of communication signals, enabling efficient, continuous, and high-quality wireless communication and optimizing the communication experience of terminals.
Smart Images
Figure CN121665342A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of wireless communication technology, and in particular to a communication signal optimization method, apparatus, computer equipment, and storage medium. Background Technology
[0002] With the rapid popularization of 5G and IoT technologies, the deployment density of wireless communication devices in smart homes, commercial buildings, public spaces and other scenarios continues to increase, and problems such as co-channel / adjacent channel signal superposition and electromagnetic interference are becoming increasingly prominent.
[0003] Currently, most mainstream anti-interference technologies employ a single, fixed approach, such as preset channel selection, hardware filtering, or static power adjustment. These methods are ill-suited for scenarios with numerous devices and complex, ever-changing interference sources, leading to issues like signal attenuation, transmission rate fluctuations, and connection interruptions during communication, severely impacting user experience and business continuity.
[0004] In view of the above, this application is hereby submitted. Summary of the Invention
[0005] The purpose of this application is to provide a communication signal optimization method, apparatus, computer equipment, and storage medium to solve the technical problem that anti-interference measures for wireless communication cannot adapt to complex scenarios.
[0006] To address the aforementioned technical problems, embodiments of this application provide a communication signal optimization method, employing the following technical solution, including: The system acquires multiple candidate operating frequency bands preset by the target terminal and the current status parameters of the target terminal, monitors the multiple candidate operating frequency bands, and obtains the anti-interference strength of the multiple candidate operating frequency bands. Based on the anti-interference strength and the current state parameters, a target operating frequency band adapted to the target terminal is determined, wherein the target operating frequency band is one of a plurality of candidate operating frequency bands; Switch the current operating frequency band of the target terminal to the target operating frequency band; The communication signal of the target terminal in the target operating frequency band is acquired, the communication signal is detected, and the type of interference present in the target terminal is determined. The interference type includes internal frequency band interference and external frequency band interference. Based on the type of interference, the communication signal is subjected to anti-interference processing to obtain an anti-interference communication signal.
[0007] Furthermore, the step of performing anti-interference processing on the communication signal according to the interference type to obtain an anti-interference communication signal includes: When the interference type is intra-band interference, feature extraction is performed on the communication signal to obtain the first interference signal feature; Based on the characteristics of the first interference signal, a corresponding signal compensation model is matched; Based on the signal compensation model and the characteristics of the first interference signal, the communication signal is corrected to obtain the anti-interference communication signal.
[0008] Furthermore, the step of correcting the communication signal based on the signal compensation model and the characteristics of the first interference signal to obtain the anti-interference communication signal includes: Based on the characteristics of the first interference signal, the deviation value of the communication signal is determined; The deviation value is input into the signal compensation model to obtain the signal compensation coefficient; The communication signal is corrected according to the signal compensation coefficient to obtain the anti-interference communication signal.
[0009] Furthermore, the step of performing anti-interference processing on the communication signal according to the interference type to obtain an anti-interference communication signal includes: If the interference type is external interference to the frequency band, feature extraction is performed on the communication signal to obtain the second interference signal feature; Based on the characteristics of the second interference signal, the interference signal in the communication signal is separated to obtain the anti-interference communication signal.
[0010] Furthermore, the step of separating the interference signal from the communication signal based on the second interference signal characteristics to obtain the anti-interference communication signal includes: Based on the characteristics of the second interference signal, the communication signal is filtered to obtain a filtered signal; Based on the characteristics of the second interference signal, an interference cancellation signal is generated; The interference cancellation signal is superimposed with the filtered signal to obtain the anti-interference communication signal.
[0011] Furthermore, switching the current operating frequency band of the target terminal to the target operating frequency band includes: Establish a pre-connection between the current operating frequency band and the target terminal, and generate a temporary identifier; Based on the temporary identifier, the target terminal is connected to the target operating frequency band.
[0012] Furthermore, after performing anti-interference processing on the communication signal according to the interference type to obtain the anti-interference communication signal, the method further includes: The communication signal after interference suppression is monitored to obtain signal monitoring data; The signal monitoring data is verified according to the preset index thresholds; If the verification fails, the process returns to obtaining the communication signal of the target terminal in the target operating frequency band and detecting the communication signal.
[0013] To address the aforementioned technical problems, this application also provides a communication signal optimization device, which employs the following technical solution: A communication signal optimization device, comprising: The monitoring module is used to acquire multiple candidate operating frequency bands preset by the target terminal and the current status parameters of the target terminal, monitor the multiple candidate operating frequency bands, and obtain the anti-interference strength of the multiple candidate operating frequency bands. The determining module is configured to determine a target operating frequency band adapted to the target terminal based on the anti-interference strength and the current state parameters, wherein the target operating frequency band is one of a plurality of candidate operating frequency bands; A switching module is used to switch the current operating frequency band of the target terminal to the target operating frequency band; The detection module is used to acquire the communication signal of the target terminal in the target operating frequency band, detect the communication signal, and determine the type of interference present in the target terminal. The interference type includes internal frequency band interference and external frequency band interference. An anti-interference module is used to perform anti-interference processing on the communication signal according to the type of interference, so as to obtain an anti-interference communication signal.
[0014] To address the aforementioned technical problems, this application also provides a computer device that employs the following technical solution: A computer device includes a memory and a processor, the memory storing computer-readable instructions, the processor executing the computer-readable instructions to implement the steps of the communication signal optimization method as described above.
[0015] To address the aforementioned technical problems, this application also provides a computer-readable storage medium, employing the technical solution described below: A computer-readable storage medium storing computer-readable instructions, which, when executed by a processor, implement the steps of the communication signal optimization method described above.
[0016] Compared with the prior art, this application has the following main advantages: The communication signal optimization method disclosed in this application obtains the candidate operating frequency bands and current status parameters of the target terminal, and combines the anti-interference strength monitoring of each candidate frequency band to make the selection of the target operating frequency band more in line with the actual needs of the terminal and the environmental interference situation. Then, the current operating frequency band is switched to the adapted target operating frequency band, avoiding strong interference that may exist in the original frequency band and laying a stable foundation for subsequent communication. Then, by detecting the communication signal under the target operating frequency band, the method distinguishes between internal and external interference, providing a clear direction for subsequent anti-interference processing. Targeted anti-interference processing based on the type of interference avoids the inefficiency of indiscriminate measures, significantly improves the stability and transmission reliability of the communication signal, and comprehensively optimizes the communication experience of the target terminal. Finally, it enables the target terminal to achieve efficient, continuous, and high-quality wireless communication in complex interference scenarios. Attached Figure Description
[0017] To more clearly illustrate the solutions in this application, the accompanying drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is an exemplary system architecture diagram to which this application can be applied; Figure 2 This is a flowchart of an embodiment of the communication signal optimization method according to this application; Figure 3 This is a schematic diagram of one embodiment of the communication signal optimization device according to this application; Figure 4 This is a schematic diagram of the structure of one embodiment of the computer device according to this application. Detailed Implementation
[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein in the specification of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having," and any variations thereof, in the specification, claims, and foregoing drawings of this application are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification, claims, or foregoing drawings of this application are used to distinguish different objects, not to describe a particular order.
[0020] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
[0022] like Figure 1 As shown, the system architecture 100 may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired or wireless communication links, or fiber optic cables, etc.
[0023] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 via the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.
[0024] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices with displays and support web browsing, including but not limited to smartphones, tablets, e-book readers, MP3 (Moving Picture Experts Group Audio Layer Ⅲ) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptops, and desktop computers, etc.
[0025] Server 105 can be a server that provides various services, such as a backend server that supports the pages displayed on the first terminal device 101, the second terminal device 102, and the third terminal device 103.
[0026] It should be noted that the communication signal optimization method provided in this application embodiment is generally executed by the terminal device, and correspondingly, the communication signal optimization device is generally installed in the terminal device.
[0027] It should be understood that Figure 1 The number of terminal devices, networks, and servers shown is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included.
[0028] Continue to refer to Figure 2 A flowchart of an embodiment of the communication signal optimization method according to this application is shown. The communication signal optimization method includes the following steps: Step S201: Obtain multiple candidate operating frequency bands preset by the target terminal and the current status parameters of the target terminal, monitor the multiple candidate operating frequency bands, and obtain the anti-interference strength of the multiple candidate operating frequency bands.
[0029] In this embodiment, the communication signal optimization method operates on an electronic device (e.g., Figure 1 The terminal device shown can send or receive data via wired or wireless connection. It should be noted that the aforementioned wireless connection methods may include, but are not limited to, 3G / 4G / 5G connections, Wi-Fi connections, Bluetooth connections, WiMAX connections, Zigbee connections, UWB (ultra wideband) connections, and other currently known or future wireless connection methods.
[0030] In this embodiment, the target terminal refers to the terminal device whose communication signal needs to be optimized. This can be a whole-house smart terminal, such as a smart TV or smart door lock, or a smart wearable and audio-visual terminal, such as smart glasses or smart headphones. Candidate operating frequency bands can be the 2.4GHz band, the 5G band, or low-center-frequency or high-center-frequency bands of UWB (Ultra-Wideband), or short-range wireless communication such as Bluetooth or Wi-Fi. The current state parameters of the terminal can include the target terminal's frequency band support capability, signal reception strength, transmission requirements, and current connection status. Specifically, in the scenario where the target terminal is a smart TV, spectrum analysis is performed on the candidate operating frequency bands to obtain their interference coverage and channel quality indicators. The anti-interference strength is determined based on the interference coverage, channel quality, and compatibility with the terminal. The anti-interference strength can be determined by assigning weights to interference suppression capability, channel quality stability, co-channel conflict resistance, and terminal compatibility. These weights can be allocated based on importance priority, such as 40% for interference suppression capability, 30% for channel quality stability, 20% for co-channel conflict resistance, and 10% for terminal compatibility. Interference suppression capability can be calculated as (maximum tolerable interference power of the terminal - actual interference power) / maximum tolerable interference power of the terminal multiplied by the weight ratio. Terminal compatibility is calculated with a score of 10 if the frequency band receiving sensitivity is less than or equal to the terminal receiving sensitivity; otherwise, points are deducted for the difference.
[0031] Step S202: Based on the anti-interference strength and the current state parameters, determine the target operating frequency band that is compatible with the target terminal. The target operating frequency band is one of the multiple candidate operating frequency bands.
[0032] In this embodiment, if the candidate operating frequency bands of the smart TV are the 2.4GHz band and the 5GHz band, the current anti-interference strength of the 2.4GHz band is 45.2 points and that of the 5GHz band is 54.8 points. The 5GHz band with the higher score is verified by combining the current status parameters of the terminal to determine whether the 5GHz band is suitable for the target terminal. If the two protocols are compatible, the signal coverage is good at a distance of 3 meters, and the 80MHz bandwidth can be allocated ≥200Mbps to meet the 4K requirements, then the 5GHz band can be determined as the target operating frequency band.
[0033] Step S203: Switch the current operating frequency band of the target terminal to the target operating frequency band.
[0034] In this embodiment, a handover notification command is sent to the smart TV via a stable link in the current operating frequency band. The command includes the target operating frequency band (e.g., 5GHz) and informs the smart TV to temporarily cache currently transmitted data to ensure uninterrupted service during the handover process. Upon receiving the command, the target terminal immediately activates its local data caching module. For currently transmitted data, such as a high-definition 4K video stream, it caches the next 100ms of video data. After caching, it sends a ready signal back to the router. Upon receiving the feedback from the smart TV, the router triggers the handover execution command. The target terminal disconnects from the current operating frequency band and then quickly activates its 5GHz radio frequency module for the target operating frequency band (5GHz), directly locking onto the 5GHz frequency for migration. Once connected to the target operating frequency band, the target terminal stops local cache playback and resumes video streaming from the last cached frame via the 5GHz link.
[0035] Step S204: Obtain the communication signal of the target terminal in the target operating frequency band, detect the communication signal, and determine the type of interference present in the target terminal. The interference type includes internal frequency band interference and external frequency band interference.
[0036] In this embodiment, after the target terminal switches to the target operating frequency band, the communication signal of the target terminal within the target operating frequency band is collected in real time. At this time, the communication signal is a mixed signal without processing, including but not limited to high-definition video transmission signals, various interference signals, and environmental noise. Interference types include intra-band interference and external-band interference. Intra-band interference refers to interference within the frequency range of the target operating frequency band caused by the characteristics of the communication system itself, other devices in the same frequency band, or signal transmission characteristics, such as multipath / inter-symbol interference, co-channel interference, and Time Division Duplexing (TDD) time slot interference. External-band interference refers to interference from outside the target operating frequency band range, caused by external devices (not devices within the target communication system) that intrude into the target operating frequency band through signal leakage, spurious radiation, etc., resulting in unexpected signals within the target frequency band, such as signal leakage interference from external frequency hopping devices, spurious intrusion interference from external devices, and cross-band electromagnetic radiation interference. Specifically, the communication signal is detected from the frequency domain, time domain, modulation domain, and frame structure. If, in time-domain detection, the inter-symbol interference (ISI) is 0.35 > 0.2 and the delay spread is 1.2 μs > symbol width 0.8 μs, the interference source is a wall-reflected signal between the TV and the router, which is determined to be internal frequency band interference. Alternatively, if a collision of signals at the same frequency occurs once every 10 seconds in time-domain detection, it can also be determined to be internal frequency band interference. If the periodic fluctuation signal detected in the frequency domain or the irregular clutter band inserted in the frame structure has a high similarity to the waveform of the microwave oven spurious signal, it can be determined to be external frequency band interference.
[0037] Step S205: According to the type of interference, perform anti-interference processing on the communication signal to obtain the anti-interference communication signal.
[0038] In this embodiment, different anti-interference processing schemes are used according to different interference types. For intra-band interference, the main approach is based on Self-Organized Networks (SON). The specific interference category is determined based on the characteristic signals of the interference, and corresponding compensation algorithms are implemented. For example, the least mean square adaptive equalization algorithm is used for multipath interference, and the idle channel evaluation threshold optimization algorithm is used for same-frequency deviation. For external band interference, interference isolation and reverse cancellation schemes are used for anti-interference. For example, when there is external interference from Bluetooth frequency hopping signals, most of the spurious signals are first filtered out by a dynamic bandpass filter, and then a cancellation signal with the same amplitude but opposite phase as the Bluetooth frequency hopping signal is generated and superimposed with the filtered signal to cancel out the residual interference.
[0039] This application obtains the candidate operating frequency bands and current status parameters of the target terminal, and combines this with the anti-interference strength monitoring of each candidate frequency band to make the selection of the target operating frequency band more closely match the actual needs of the terminal and the environmental interference situation. Then, the current operating frequency band is switched to the adapted target operating frequency band, avoiding strong interference that may exist in the original frequency band and laying a stable foundation for subsequent communication. Next, by detecting the communication signal under the target operating frequency band, two types of interference, internal and external, are distinguished, providing a clear direction for subsequent anti-interference processing. Targeted anti-interference processing based on the type of interference avoids the inefficiency of indiscriminate measures, significantly improves the stability and transmission reliability of communication signals, and comprehensively optimizes the communication experience of the target terminal. Ultimately, it achieves efficient, continuous, and high-quality wireless communication for the target terminal in complex interference scenarios.
[0040] In some optional implementations of this embodiment, the step of performing anti-interference processing on the communication signal according to the interference type to obtain the anti-interference communication signal includes: When the interference type is intra-band interference, feature extraction is performed on the communication signal to obtain the first interference signal feature; Based on the characteristics of the first interference signal, a corresponding signal compensation model is matched; Based on the signal compensation model and the characteristics of the first interference signal, the communication signal is corrected to obtain the anti-interference communication signal.
[0041] In this embodiment, the signal compensation model is a targeted compensation for various specific interference types within the frequency band. For example, for co-channel deviation interference, the matching compensation is the Clear Channel Assessment (CCA) threshold optimization algorithm. Specifically, interference characteristics of the communication signal can be collected at a period of 200ms / time. After preprocessing, the first interference signal characteristics are obtained, mainly including the device collision rate, such as the number of co-channel signal collisions / total transmissions; subcarrier load rate, such as the number of occupied subcarriers / total number of subcarriers; and co-channel signal power, such as the signal power of a neighboring co-channel router. Based on these characteristics, the current interference is confirmed to be co-channel deviation, and then the compensation model required for co-channel deviation is matched. Then, the communication signal correction is completed by dynamically iterating parameters based on the Clear Channel Assessment threshold optimization algorithm and the first interference signal characteristics.
[0042] This application obtains the interference characteristics of communication signals to accurately locate the specific type of interference within the frequency band, avoiding the inefficiency of indiscriminate anti-interference; then it matches a dedicated signal compensation model for each type of interference to ensure that the anti-interference strategy is more targeted; subsequently, it dynamically iterates and corrects the signal based on the interference characteristics, which can effectively suppress the impact of interference, ensure the stability of communication signals, and significantly improve the communication quality and user experience of the target terminal.
[0043] In some optional implementations of this embodiment, the step of correcting the communication signal based on the signal compensation model and the characteristics of the first interference signal to obtain the anti-interference communication signal includes: Based on the characteristics of the first interference signal, the deviation value of the communication signal is determined; The deviation value is input into the signal compensation model to obtain the signal compensation coefficient; The communication signal is corrected according to the signal compensation coefficient to obtain the anti-interference communication signal.
[0044] In this embodiment, in the case of co-channel error, the deviation value of the communication signal is calculated by subtracting a preset threshold from the actual value. For example, if the device conflict rate is 8% and the threshold is set to 5%, then the deviation value is 3%. The 3% conflict rate deviation value is input into the signal compensation model of the CCA threshold optimization algorithm. The model can determine the compensation coefficient based on the deviation value minus the CCA threshold adjustment range. The compensation coefficient is set to -83.5 dBm for the CCA threshold and 0.7 for the subcarrier allocation weight, ensuring that the smart TV prioritizes occupying idle subcarriers. Finally, corrections are made according to the compensation coefficient. For example, the adjusted CCA threshold accurately identifies idle channel periods, avoiding collisions with co-channel signals from neighboring households, and simultaneously allocating independent high-bandwidth subcarrier groups to the TV according to the weights.
[0045] For example, in the case of multipath bias, the bias values of the communication signal are the ISI bias value and the delay spread bias value. These bias values are input into a matching signal compensation model. For instance, inputting an ISI bias value of 0.15 into a matching LMS (Least Mean Square) adaptive equalization algorithm model can output compensation coefficients for the equalizer order, convergence step size, and channel impulse response weight. Corrections are made based on these compensation coefficients. For example, the LMS equalizer order is set to 64, the convergence step size is set to 0.03, and the equalization coefficients are iterated by adjusting them once every 100 received symbol periods. Based on a channel impulse response weight of 0.8, amplitude attenuation and phase calibration are performed on the reflected path components in the received signal to cancel the superposition interference between the reflected and direct signals. Finally, the filter coefficients are adjusted in real time through the equalizer to correct symbol distortion.
[0046] This application quantifies communication signal deviation by using interference characteristics to avoid the blindness of indiscriminate measures; then, it outputs adaptation coefficients through a matched signal compensation model to ensure that the correction strategy fits the specific interference scenario; finally, it corrects the signal according to the coefficients, which can effectively suppress interference such as co-frequency and multipath interference, ensure stable communication signals, meet the needs of terminals such as video transmission, and improve the user experience.
[0047] In some optional implementations of this embodiment, the step of performing anti-interference processing on the communication signal according to the interference type to obtain the anti-interference communication signal includes: If the interference type is external interference to the frequency band, feature extraction is performed on the communication signal to obtain the second interference signal feature; Based on the characteristics of the second interference signal, the interference signal in the communication signal is separated to obtain the anti-interference communication signal.
[0048] In this embodiment, the communication signal is continuously acquired and analyzed using a software spectrum analysis module to obtain the characteristics of the second interference signal, including attributes such as frequency fluctuation range, modulation method, power change period, and overlap with the target frequency band. Then, a combination of software filtering and interference cancellation can be used to separate the interference signal. First, filtering methods adapted to the interference frequency characteristics are used to initially filter out most of the strong interference components. Then, for the remaining interference signal after filtering, a reverse cancellation signal is generated based on its amplitude, phase, and other characteristics. Through signal superposition, the interference is accurately eliminated. The entire separation process is executed automatically by a software algorithm, requiring no hardware adjustments.
[0049] For example, when the external interference in the frequency band is specifically a residual frequency-hopping signal, the mixed communication signal is continuously sampled for 100ms, the frequency value of each signal hop is recorded, a frequency-hopping frequency set is formed, the average frequency-hopping period is calculated, and a frequency-hopping time sequence map is generated. The single-hop signal is demodulated and analyzed, and the modulation method is identified as binary frequency shift keying (2FSK) through a constellation diagram. The frequency offset and symbol rate are measured, and the baseband signal encoding format is extracted as Manchester code, obtaining the modulation characteristics. Simultaneously, the power fluctuation range of the frequency-hopping signal is recorded. Finally, the above parameters are integrated into a second interference signal feature. Based on the extracted second interference signal feature, an interference cancellation signal is generated, realizing the separation of the interference signal in the communication signal and obtaining an anti-interference communication signal.
[0050] This application extracts the characteristics of the second interference signal to lock in the core attributes of external interference in the frequency band, such as frequency and modulation, providing a clear direction for interference separation and avoiding blind measures; then, it separates the interference through a combination of software filtering and cancellation, which does not require hardware adjustments, is flexible and low-cost; finally, it effectively eliminates external interference, ensures the purity of communication signals, meets the stable communication needs of terminals, and significantly improves the user experience.
[0051] In some optional implementations of this embodiment, the step of separating the interference signal from the communication signal based on the second interference signal characteristics to obtain the anti-interference communication signal includes: Based on the characteristics of the second interference signal, the communication signal is filtered to obtain a filtered signal; Based on the characteristics of the second interference signal, an interference cancellation signal is generated; The interference cancellation signal is superimposed with the filtered signal to obtain the anti-interference communication signal.
[0052] In this embodiment, the second interference signal is characterized by a frequency fluctuation range of 1.2-1.6MHz, a frequency hopping period of 1.02ms, a modulation scheme of 2FSK, a symbol rate of 250kbps, and a power fluctuation range of -82 to -78dBm, corresponding to Bluetooth frequency hopping residue. Next, the center frequency of the bandpass filter is locked to the center point of the 5GHz operating frequency band to ensure the complete passage of the useful 4K video signal from the smart TV. Simultaneously, a dynamic stopband is set, tracking the 1.2-1.6MHz hopping range of the second interference signal characteristics in real time, with a stopband attenuation threshold ≥40dB to strongly attenuate the frequency hopping interference within this range. The communication signal transmitted by the smart TV is then dynamically filtered in real time to remove strong frequency hopping interference components, leaving only a small amount of weak interference signal and the complete useful 4K video signal, ultimately yielding a filtered signal containing the useful signal and weak residual interference. Then, the timing, amplitude, and phase are calibrated. Using the frequency hopping period of the second interference signal characteristic as a reference, a high-precision software timer is started to ensure that the timing of the transitions between the cancellation signal and the residual interference signal is perfectly aligned. By acquiring the power value of the residual interference signal in real time, the power of the cancellation signal is adjusted to match that of the residual interference. Using the starting symbol of the residual interference signal as a phase reference, the phase of the cancellation signal is calibrated to ensure that the phase difference between the two is exactly 180°. Finally, the residual interference components in the cancellation signal and the filtered signal are mutually canceled to obtain the anti-interference communication signal.
[0053] This application uses dynamic filtering based on the characteristics of the second interference signal to remove strong interference, combined with reverse cancellation signal to eliminate weak residual interference. This progressive processing ensures complete removal of interference. The entire process requires only software implementation, without any hardware modification, making it flexible and low-cost. It effectively guarantees the high-stability communication requirements of the terminal, improving communication quality and user experience.
[0054] In some optional implementations of this embodiment, the step of switching the current operating frequency band of the target terminal to the target operating frequency band includes: Establish a pre-connection between the current operating frequency band and the target terminal, and generate a temporary identifier; Based on the temporary identifier, the target terminal is connected to the target operating frequency band.
[0055] In this embodiment, the router first sends a pre-association request frame to the target terminal via its current operating frequency band. This frame contains basic parameters of the target operating frequency band (frequency range, initial security authentication information) and the pre-association validity period (to avoid long-term resource occupation). Upon receiving the frame, the target terminal verifies its own target operating frequency band support and service compatibility (such as bandwidth adaptability required for high-definition video transmission), and then sends back a pre-association response frame, reporting its own device identifier and current cached data status (to ensure uninterrupted video transmission during handover). After verifying the legitimacy and parameter matching of the target terminal, the router generates a unique temporary identifier (ApplicationIdentifier, AID). This identifier is bound to dedicated resources within the target operating frequency band (such as subcarrier groups adapted to high bandwidth requirements) to avoid resource contention during subsequent access. The router synchronizes the temporary identifier and resource binding information to the target terminal via its current frequency band. After storing this information, the target terminal sends back a pre-association confirmation frame, and the pre-association connection is formally established.
[0056] For example, after the router confirms the pre-association, it sends a handover trigger frame to the target terminal, carrying an assigned temporary identifier. Upon receiving this identifier, the target terminal skips the regular channel scanning, identity re-authentication, and resource reallocation processes, directly activating the radio frequency module of the target frequency band and sending the temporary identifier back to the router. After recognizing the identifier, the router immediately calls the pre-bound target operating frequency band. During the access process, the router verifies the legitimacy of the target terminal's access using the temporary identifier (preventing unauthorized devices from occupying resources). Once verification is successful, the target terminal quickly completes link synchronization with the target operating frequency band and resumes transmitting previously cached high-definition video data. Simultaneously, the router marks the temporary identifier as invalid to prevent reuse, ultimately achieving a seamless handover from the current operating frequency band to the target operating frequency band, ensuring a smooth experience for the user.
[0057] This application establishes a pre-association with the target terminal in the current frequency band and obtains a temporary identifier, then accesses the target operating frequency band based on this identifier. This bypasses the conventional process, enabling rapid switching. Furthermore, the temporary identifier's binding to dedicated resources avoids resource contention, ensures seamless switching, guarantees stable terminal service transmission, achieves a user-unobtrusive experience, and improves the continuity and reliability of wireless communication.
[0058] In some optional implementations of this embodiment, after the step of performing anti-interference processing on the communication signal according to the interference type to obtain the anti-interference communication signal, the method further includes: The communication signal after interference suppression is monitored to obtain signal monitoring data; The signal monitoring data is verified according to the preset index thresholds; If the verification fails, the process returns to obtaining the communication signal of the target terminal in the target operating frequency band and detecting the communication signal.
[0059] In this embodiment, the communication signal transmitted to the smart TV after anti-interference processing is sampled and monitored in real time. The detection includes signal transmission stability, data integrity, transmission efficiency, and recording the real-time characteristics of the signal to obtain signal detection data. The indicator thresholds are set based on the service requirements of the target terminal (such as stable bandwidth and low packet loss for high-definition video transmission). During verification, the real-time collected signal monitoring data is compared with the thresholds one by one. For example, it is determined whether the transmission continuously meets the service bandwidth requirements, whether the packet loss is controlled within an acceptable range, and whether the connection is interrupted abnormally. If all monitoring indicators meet the preset thresholds, the verification is deemed successful, and the current anti-interference strategy is maintained. If any indicator fails to meet the standard, the process automatically returns to the step of "obtaining the communication signal of the target terminal in the target operating frequency band and detecting the communication signal". The communication signal of the smart TV in the target channel is re-collected, and the current interference type is detected and determined again through spectrum analysis, symbol feature extraction, etc. (it may be newly emerging interference or residual interference that was not completely eliminated before). This provides the latest interference data support for subsequent adjustment of the anti-interference strategy and accurate problem solving, forming a closed-loop optimization of the anti-interference effect.
[0060] This application verifies the effectiveness of communication signals in real time and combines this with thresholds set according to terminal service requirements. If the verification passes, the current strategy is maintained; if it fails, the signal is re-acquired and the type of interference is detected. This allows for the timely detection of unresolved or newly emerging interference, providing a basis for adjusting the anti-interference strategy, forming a closed-loop optimization, effectively ensuring the stability of terminal services, and improving the reliability and dynamic adaptability of the anti-interference solution.
[0061] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) refers to the theories, methods, technologies, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.
[0062] Foundational technologies for artificial intelligence generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies mainly encompass computer vision, robotics, biometrics, speech processing, natural language processing, and machine learning / deep learning.
[0063] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware through computer-readable instructions. These computer-readable instructions can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. The aforementioned storage medium can be a non-volatile storage medium such as a magnetic disk, optical disk, or read-only memory (ROM), or random access memory (RAM).
[0064] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.
[0065] Further reference Figure 3 As a response to the above Figure 2 The implementation of the method shown in this application provides an embodiment of a communication signal optimization device, which is similar to... Figure 2 Corresponding to the method embodiments shown, this device can be specifically applied to various electronic devices.
[0066] like Figure 3 As shown, the communication signal optimization device 300 described in this embodiment includes: a monitoring module 301, a determination module 302, a switching module 303, a detection module 304, and an anti-interference module 305. Wherein: The monitoring module 301 is used to acquire multiple candidate operating frequency bands preset by the target terminal and the current status parameters of the target terminal, monitor the multiple candidate operating frequency bands, and obtain the anti-interference strength of the multiple candidate operating frequency bands. The determining module 302 is used to determine a target operating frequency band adapted to the target terminal based on the anti-interference strength and the current state parameters, wherein the target operating frequency band is one of a plurality of candidate operating frequency bands; Switching module 303 is used to switch the current operating frequency band of the target terminal to the target operating frequency band; Detection module 304 is used to acquire the communication signal of the target terminal in the target operating frequency band, detect the communication signal, and determine the type of interference present in the target terminal. The interference type includes internal frequency band interference and external frequency band interference. The anti-interference module 305 is used to perform anti-interference processing on the communication signal according to the type of interference to obtain the anti-interference communication signal.
[0067] The communication signal optimization device provided in this application acquires the candidate operating frequency bands and current status parameters of the target terminal, and combines this with the anti-interference strength monitoring of each candidate frequency band to make the selection of the target operating frequency band more closely match the actual needs of the terminal and the environmental interference situation. Then, it switches the current operating frequency band to the adapted target operating frequency band, avoiding strong interference that may exist in the original frequency band and laying a stable foundation for subsequent communication. Then, by detecting the communication signal under the target operating frequency band, it distinguishes between two types of interference: internal and external interference, providing a clear direction for subsequent anti-interference processing. Based on the type of interference, it performs targeted anti-interference processing, avoiding the inefficiency of indiscriminate measures, significantly improving the stability and transmission reliability of the communication signal, and comprehensively optimizing the communication experience of the target terminal. Ultimately, it enables the target terminal to achieve efficient, continuous, and high-quality wireless communication in complex interference scenarios.
[0068] In some optional implementations of this embodiment, the anti-interference module 305 is further configured to: When the interference type is intra-band interference, feature extraction is performed on the communication signal to obtain the first interference signal feature; Based on the characteristics of the first interference signal, a corresponding signal compensation model is matched; Based on the signal compensation model and the characteristics of the first interference signal, the communication signal is corrected to obtain the anti-interference communication signal.
[0069] The communication signal optimization device provided in this application obtains the interference characteristics of the communication signal, accurately locates the specific type of interference within the frequency band, and avoids the inefficiency of indiscriminate anti-interference. Then, it matches a dedicated signal compensation model for each type of interference to ensure that the anti-interference strategy is more targeted. Subsequently, it dynamically iterates and corrects the signal based on the interference characteristics, which can effectively suppress the impact of interference, ensure the stability of the communication signal, and significantly improve the communication quality and user experience of the target terminal.
[0070] In some optional implementations of this embodiment, the anti-interference module 305 is further configured to: Based on the characteristics of the first interference signal, the deviation value of the communication signal is determined; The deviation value is input into the signal compensation model to obtain the signal compensation coefficient; The communication signal is corrected according to the signal compensation coefficient to obtain the anti-interference communication signal.
[0071] The communication signal optimization device provided in this application quantifies communication signal deviation by interference characteristics to avoid the blindness of indiscriminate measures; then, it outputs adaptation coefficients through a matched signal compensation model to ensure that the correction strategy fits the specific interference scenario; finally, it corrects the signal according to the coefficients, which can effectively suppress interference such as co-frequency and multipath interference, ensure communication signal stability, meet the needs of terminals such as video transmission, and improve the user experience.
[0072] In some optional implementations of this embodiment, the anti-interference module 305 is further configured to: If the interference type is external interference to the frequency band, feature extraction is performed on the communication signal to obtain the second interference signal feature; Based on the characteristics of the second interference signal, the interference signal in the communication signal is separated to obtain the anti-interference communication signal.
[0073] The communication signal optimization device provided in this application extracts the characteristics of the second interference signal, locks the core attributes of the external interference in the frequency band such as frequency and modulation, provides a clear direction for interference separation, and avoids blind measures; then it separates the interference through a combination of software filtering and cancellation, without the need for hardware adjustment, which is flexible and low cost; finally, it effectively eliminates external interference, ensures the purity of the communication signal, meets the stable communication needs of the terminal, and significantly improves the user experience.
[0074] In some optional implementations of this embodiment, the anti-interference module 305 is further configured to: Based on the characteristics of the second interference signal, the communication signal is filtered to obtain a filtered signal; Based on the characteristics of the second interference signal, an interference cancellation signal is generated; The interference cancellation signal is superimposed with the filtered signal to obtain the anti-interference communication signal.
[0075] The communication signal optimization device provided in this application filters out strong interference through dynamic filtering of second interference signal characteristics, and removes weak residual interference by combining it with reverse cancellation signal. This progressive processing ensures complete elimination of interference. The entire process requires only software implementation, without any hardware modification. It is flexible and low-cost, effectively ensuring the high-stability communication requirements of the terminal and improving communication quality and user experience.
[0076] In some optional implementations of this embodiment, the switching module 303 is further configured to: Establish a pre-connection between the current operating frequency band and the target terminal, and generate a temporary identifier; Based on the temporary identifier, the target terminal is connected to the target operating frequency band.
[0077] The communication signal optimization device provided in this application establishes a pre-association with the target terminal through the current frequency band and obtains a temporary identifier, and then accesses the target operating frequency band based on the identifier. This skips the conventional process to achieve rapid switching, and the temporary identifier's binding to dedicated resources avoids resource contention, while ensuring seamless switching and stable transmission of terminal services. This results in a seamless experience for the user and improves the continuity and reliability of wireless communication.
[0078] In some optional implementations of this embodiment, the anti-interference module 305 is further configured to: The communication signal after interference suppression is monitored to obtain signal monitoring data; The signal monitoring data is verified according to the preset index thresholds; If the verification fails, the process returns to obtaining the communication signal of the target terminal in the target operating frequency band and detecting the communication signal.
[0079] The communication signal optimization device provided in this application verifies the effectiveness of communication signals by real-time monitoring and combining the thresholds set according to terminal service requirements. If the verification passes, the current strategy is maintained; if it fails, the signal is re-acquired and the type of interference is detected. This allows for the timely capture of unresolved or newly emerging interference, providing a basis for adjusting anti-interference strategies, forming a closed-loop optimization, effectively ensuring the stability of terminal services, and improving the reliability and dynamic adaptability of the anti-interference solution.
[0080] To address the aforementioned technical problems, embodiments of this application also provide a computer device. Please refer to [link / reference needed]. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.
[0081] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are interconnected via a system bus. It should be noted that only the computer device 4 with components 41, 42, and 43 is shown in the figure; however, it should be understood that it is not required to implement all the shown components, and more or fewer components can be implemented alternatively. Those skilled in the art will understand that the computer device described here is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.
[0082] The computer device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device can interact with the user via a keyboard, mouse, remote control, touchpad, or voice control.
[0083] The memory 41 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as the hard disk or memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device 4. Of course, the memory 41 may also include both the internal storage unit and its external storage device of the computer device 4. In this embodiment, the memory 41 is typically used to store the operating system and various application software installed on the computer device 4, such as computer-readable instructions for communication signal optimization methods. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or will be output.
[0084] In some embodiments, the processor 42 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to execute computer-readable instructions stored in the memory 41 or to process data, for example, to execute computer-readable instructions for the communication signal optimization method.
[0085] The network interface 43 may include a wireless network interface or a wired network interface, which is typically used to establish communication connections between the computer device 4 and other electronic devices.
[0086] The computer equipment provided in this application acquires the candidate operating frequency bands and current status parameters of the target terminal, and combines this with the anti-interference strength monitoring of each candidate frequency band to make the selection of the target operating frequency band more closely match the actual needs of the terminal and the environmental interference situation. Then, it switches the current operating frequency band to the adapted target operating frequency band, avoiding strong interference that may exist in the original frequency band and laying a stable foundation for subsequent communication. Then, by detecting the communication signal under the target operating frequency band, it distinguishes between two types of interference: internal and external interference, providing a clear direction for subsequent anti-interference processing. Based on the type of interference, it performs targeted anti-interference processing, avoiding the inefficiency of indiscriminate measures, significantly improving the stability and transmission reliability of communication signals, and comprehensively optimizing the communication experience of the target terminal. Ultimately, it enables the target terminal to achieve efficient, continuous, and high-quality wireless communication in complex interference scenarios.
[0087] This application also provides another embodiment, namely, providing a computer-readable storage medium storing computer-readable instructions that can be executed by at least one processor to cause the at least one processor to perform the steps of the communication signal optimization method described above.
[0088] The computer-readable storage medium provided in this application acquires candidate operating frequency bands and current status parameters of the target terminal, and combines this with anti-interference strength monitoring of each candidate frequency band to make the selection of target operating frequency bands more aligned with the actual needs of the terminal and environmental interference conditions. Then, it switches the current operating frequency band to the suitable target operating frequency band, avoiding strong interference that may exist in the original frequency band and laying a stable foundation for subsequent communication. Next, by detecting the communication signal under the target operating frequency band, it distinguishes between internal and external interference, providing a clear direction for subsequent anti-interference processing. Targeted anti-interference processing based on interference type avoids the inefficiency of indiscriminate measures, significantly improving the stability and transmission reliability of communication signals, and comprehensively optimizing the communication experience of the target terminal. Ultimately, it enables the target terminal to achieve efficient, continuous, and high-quality wireless communication in complex interference scenarios.
[0089] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.
[0090] Obviously, the embodiments described above are only some embodiments of this application, not all embodiments. The accompanying drawings show preferred embodiments of this application, but do not limit the patent scope of this application. This application can be implemented in many different forms; rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the disclosure of this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this application's specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the scope of patent protection of this application.
Claims
1. A method for optimizing communication signals, characterized in that, Includes the following steps: The system acquires multiple candidate operating frequency bands preset by the target terminal and the current status parameters of the target terminal, monitors the multiple candidate operating frequency bands, and obtains the anti-interference strength of the multiple candidate operating frequency bands. Based on the anti-interference strength and the current state parameters, a target operating frequency band adapted to the target terminal is determined, wherein the target operating frequency band is one of a plurality of candidate operating frequency bands; Switch the current operating frequency band of the target terminal to the target operating frequency band; The communication signal of the target terminal in the target operating frequency band is acquired, the communication signal is detected, and the type of interference present in the target terminal is determined. The interference type includes internal frequency band interference and external frequency band interference. Based on the type of interference, the communication signal is subjected to anti-interference processing to obtain an anti-interference communication signal.
2. The communication signal optimization method according to claim 1, characterized in that, The step of performing anti-interference processing on the communication signal according to the interference type to obtain an anti-interference communication signal includes: When the interference type is intra-band interference, feature extraction is performed on the communication signal to obtain the first interference signal feature; Based on the characteristics of the first interference signal, a corresponding signal compensation model is matched; Based on the signal compensation model and the characteristics of the first interference signal, the communication signal is corrected to obtain the anti-interference communication signal.
3. The communication signal optimization method according to claim 2, characterized in that, The step of correcting the communication signal based on the signal compensation model and the characteristics of the first interference signal to obtain the anti-interference communication signal includes: Based on the characteristics of the first interference signal, the deviation value of the communication signal is determined; The deviation value is input into the signal compensation model to obtain the signal compensation coefficient; The communication signal is corrected according to the signal compensation coefficient to obtain the anti-interference communication signal.
4. The communication signal optimization method according to claim 1, characterized in that, The step of performing anti-interference processing on the communication signal according to the interference type to obtain an anti-interference communication signal includes: If the interference type is external interference to the frequency band, feature extraction is performed on the communication signal to obtain the second interference signal feature; Based on the characteristics of the second interference signal, the interference signal in the communication signal is separated to obtain the anti-interference communication signal.
5. The communication signal optimization method according to claim 4, characterized in that, The step of separating the interference signal from the communication signal based on the second interference signal characteristics to obtain the anti-interference communication signal includes: Based on the characteristics of the second interference signal, the communication signal is filtered to obtain a filtered signal; Based on the characteristics of the second interference signal, an interference cancellation signal is generated; The interference cancellation signal is superimposed with the filtered signal to obtain the anti-interference communication signal.
6. The communication signal optimization method according to claim 1, characterized in that, The step of switching the current operating frequency band of the target terminal to the target operating frequency band includes: Establish a pre-connection between the current operating frequency band and the target terminal, and generate a temporary identifier; Based on the temporary identifier, the target terminal is connected to the target operating frequency band.
7. The communication signal optimization method according to claim 1, characterized in that, After performing anti-interference processing on the communication signal according to the interference type to obtain the anti-interference communication signal, the method further includes: The communication signal after interference suppression is monitored to obtain signal monitoring data; The signal monitoring data is verified according to the preset index thresholds; If the verification fails, the process returns to obtaining the communication signal of the target terminal in the target operating frequency band and detecting the communication signal.
8. A communication signal optimization device, characterized in that, include: The monitoring module is used to acquire multiple candidate operating frequency bands preset by the target terminal and the current status parameters of the target terminal, monitor the multiple candidate operating frequency bands, and obtain the anti-interference strength of the multiple candidate operating frequency bands. The determining module is configured to determine a target operating frequency band adapted to the target terminal based on the anti-interference strength and the current state parameters, wherein the target operating frequency band is one of a plurality of candidate operating frequency bands; A switching module is used to switch the current operating frequency band of the target terminal to the target operating frequency band; The detection module is used to acquire the communication signal of the target terminal in the target operating frequency band, detect the communication signal, and determine the type of interference present in the target terminal. The interference type includes internal frequency band interference and external frequency band interference. An anti-interference module is used to perform anti-interference processing on the communication signal according to the type of interference, so as to obtain an anti-interference communication signal.
9. A computer device, characterized in that, The device includes a memory and a processor, wherein the memory stores computer-readable instructions, and the processor executes the computer-readable instructions to implement the steps of the communication signal optimization method as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-readable instructions, which, when executed by a processor, implement the steps of the communication signal optimization method as described in any one of claims 1 to 7.