Interference suppression method for low-power-consumption HRF + HPLC dual-mode chip

Abstract

The invention discloses an interference suppression method for a low-power-consumption HRF + HPLC dual-mode chip, and relates to the technical field of communication, and the method comprises the steps: carrying out the real-time monitoring of a dual-mode chip communication system, and obtaining a dual-mode monitoring set; establishing a multi-dimensional interference tracing channel, performing interference detection on the dual-mode monitoring set, and constructing a first interference detection map and a second interference detection map; performing interference suppression decision on the HRF communication module to obtain a first interference suppression domain, and performing reproduction optimization to obtain a first interference suppression strategy; and performing interference suppression reproduction optimization on the HPLC communication module to obtain a second interference suppression strategy, and performing interference management on the dual-mode chip communication system in combination with the first interference suppression strategy. The technical problem that in the prior art, a low-power-consumption dual-mode chip is insufficient in interference suppression effect in communication is solved, and the technical effects of effectively suppressing communication interference and improving communication quality and stability are achieved.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to an interference suppression method for a low-power HRF+HPLC dual-mode chip. Background Art

[0002] With the rapid development of wireless communication technology, low-power dual-mode chips (HRF+HPLC) have been widely used in various communication devices, especially in the Internet of Things, smart homes, and mobile devices. The core goal of low-power design is to extend the service life of devices and reduce energy consumption. However, in practical applications, these low-power dual-mode chips often face interference problems during communication, especially in complex environments. Interference comes from multiple sources, such as co-channel interference, adjacent channel interference, and intermodulation interference. Although some interference suppression technologies are currently available, they often cannot fully address the problem of low-power dual-mode chips suppressing interference in various interference environments. Summary of the Invention

[0003] The present application provides an interference suppression method for a low-power HRF+HPLC dual-mode chip, which is used to solve the technical problem in the prior art that the low-power dual-mode chip has insufficient interference suppression effect in communication.

[0004] In view of the above problems, the present application provides an interference suppression method for a low-power HRF+HPLC dual-mode chip.

[0005] The present application provides an interference suppression method for a low-power HRF+HPLC dual-mode chip, the method comprising: The dual-mode chip communication system is monitored in real time to obtain a dual-mode monitoring set, wherein the dual-mode chip communication system includes an HRF communication module and an HPLC communication module; multi-dimensional interference tracing learning is performed based on the communication interference event set of the dual-mode chip communication system, and a multi-dimensional interference tracing channel is established; interference detection is performed on the dual-mode monitoring set based on the multi-dimensional interference tracing channel, and a first interference detection map and a second interference detection map are constructed; interference suppression decision is performed on the HRF communication module based on the first interference detection map to obtain an interference suppression first domain; a communication interference suppression evaluation model is introduced to perform multiplication and optimization on the interference suppression first domain to obtain a first interference suppression strategy; interference suppression multiplication and optimization is performed on the HPLC communication module based on the communication interference suppression evaluation model and the second interference detection map to obtain a second interference suppression strategy, and interference management of the dual-mode chip communication system is performed in combination with the first interference suppression strategy.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: The present application performs real-time monitoring on a dual-mode chip communication system to obtain a dual-mode monitoring set, wherein the dual-mode chip communication system includes an HRF communication module and an HPLC communication module; performs multidimensional interference tracing learning based on the communication interference event set of the dual-mode chip communication system, and builds a multidimensional interference tracing channel; performs interference detection on the dual-mode monitoring set based on the multidimensional interference tracing channel, and constructs a first interference detection map and a second interference detection map; performs interference suppression decision-making on the HRF communication module based on the first interference detection map to obtain an interference suppression first domain; introduces a communication interference suppression evaluation model to perform multiplication and optimization on the interference suppression first domain to obtain a first interference suppression strategy; performs interference suppression multiplication and optimization on the HPLC communication module based on the communication interference suppression evaluation model and the second interference detection map to obtain a second interference suppression strategy, and combines the first interference suppression strategy to perform interference management on the dual-mode chip communication system. The present invention solves the technical problem that low-power dual-mode chips in the prior art have insufficient interference suppression effect in communication, and achieves the technical effect of effectively suppressing communication interference and improving communication quality and stability through multidimensional interference tracing learning and optimization of interference suppression strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic flow chart of the interference suppression method for a low-power HRF+HPLC dual-mode chip provided in an embodiment of the present application; Figure 2 Schematic diagram of the process of building a multi-dimensional interference tracing channel in the interference suppression method for a low-power HRF+HPLC dual-mode chip provided in an embodiment of the present application. DETAILED DESCRIPTION

[0009] This application provides an interference suppression method for low-power HRF+HPLC dual-mode chips, which is used to solve the technical problem of insufficient interference suppression effect of low-power dual-mode chips in communications in the existing technology. Through multi-dimensional interference tracing learning and optimization of interference suppression strategies, the technical effect of effectively suppressing communication interference and improving communication quality and stability is achieved.

[0010] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0011] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0012] Examples, such as Figure 1 As shown, the present application provides an interference suppression method for a low-power HRF+HPLC dual-mode chip, the method comprising: Step S100: performing real-time monitoring on a dual-mode chip communication system to obtain a dual-mode monitoring set, wherein the dual-mode chip communication system includes an HRF communication module and an HPLC communication module.

[0013] In an embodiment of the present application, the dual-mode chip communication system includes an HRF communication module and an HPLC communication module. Through monitoring tools and sensors embedded in the HRF communication module and the HPLC communication module, HRF communication monitoring data and HPLC communication monitoring data are obtained through real-time monitoring.

[0014] The HRF and HPLC communication monitoring data were then cleaned separately. After cleaning, the HRF communication monitoring data was cleaned to remove noise and outliers, generating a first communication monitoring set. Similarly, the HPLC communication monitoring data was cleaned to generate a second communication monitoring set.

[0015] Finally, the first communication monitoring set is combined with the second communication monitoring set to generate a dual-mode monitoring set.

[0016] Furthermore, in the method provided in the embodiment of the application, real-time monitoring of the dual-mode chip communication system to obtain a dual-mode monitoring set further includes: Obtain HRF communication monitoring data and HPLC communication monitoring data; perform data cleaning on the HRF communication monitoring data to obtain a first communication monitoring set; perform data cleaning on the HPLC communication monitoring data to obtain a second communication monitoring set, and combine the first communication monitoring set to generate the dual-mode monitoring set.

[0017] In the present embodiment, the HRF communication module and the HPLC communication module are first monitored in real time using embedded monitoring tools and sensors to obtain HRF communication monitoring data and HPLC communication monitoring data. This monitoring data includes various parameters during the communication process, including frequency, signal strength, bit error rate, signal-to-noise ratio, etc.

[0018] Subsequently, the HRF communication monitoring data is cleaned by applying a noise filtering algorithm, such as a Kalman filter or a median filter, to remove interference signals and abnormal data in the HRF communication monitoring data, ensuring that only valid communication information is retained, thereby generating a first communication monitoring set.

[0019] At the same time, the HPLC communication monitoring data is cleaned. Since the monitoring data of the HPLC module may also be affected by factors such as environmental noise and hardware failure, low-pass filtering, mean filtering and other technologies are used to remove irrelevant data. After data cleaning, the second communication monitoring set is generated.

[0020] Finally, the first communication monitoring set and the second communication monitoring set are integrated to obtain a dual-mode monitoring set.

[0021] Step S200: performing multi-dimensional interference tracing learning based on the communication interference event set of the dual-mode chip communication system, and building a multi-dimensional interference tracing channel.

[0022] In an embodiment of the present application, a communication interference event set of a dual-mode chip communication system is first obtained from a preset database. The communication interference event set includes preset labels. The data in the communication interference event set is divided into a co-channel interference event set, an adjacent-channel interference event set, an intermodulation interference event set, and an environmental interference event set. The communication interference event set is then classified to obtain a co-channel interference event set, an adjacent-channel interference event set, an intermodulation interference event set, and an environmental interference event set.

[0023] Next, for each set of interference events, corresponding interference tracing learning is performed to establish a specific interference tracing channel. Specifically, based on the set of same-frequency interference events, same-frequency interference tracing learning is performed to establish a same-frequency interference tracing channel; based on the set of adjacent-frequency interference events, adjacent-frequency interference tracing learning is performed to establish an adjacent-frequency interference tracing channel; based on the set of intermodulation interference events, intermodulation interference tracing learning is performed to establish an intermodulation interference tracing channel; and based on the set of environmental interference events, environmental interference tracing learning is performed to establish an environmental interference tracing channel. Finally, these different types of interference tracing channels are connected in parallel to form a multi-dimensional interference tracing channel.

[0024] Further, such as Figure 2 As shown, in the method provided by the embodiment of the application, multi-dimensional interference tracing learning is performed based on the communication interference event set of the dual-mode chip communication system, and a multi-dimensional interference tracing channel is established, which also includes: Classify according to the communication interference event set to obtain a co-channel interference event set, an adjacent-channel interference event set, an intermodulation interference event set and an environmental interference event set; perform co-channel interference tracing learning according to the co-channel interference event set to establish a co-channel interference tracing channel; perform adjacent-channel interference tracing learning according to the adjacent-channel interference event set to establish an adjacent-channel interference tracing channel; perform intermodulation interference tracing learning according to the intermodulation interference event set to establish an intermodulation interference tracing channel; perform environmental interference tracing learning according to the environmental interference event set to establish an environmental interference tracing channel; connect the co-channel interference tracing channel, the adjacent-channel interference tracing channel, the intermodulation interference tracing channel and the environmental interference tracing channel in parallel to generate the multi-dimensional interference tracing channel.

[0025] In this embodiment, the communication interference event set is first classified according to the preset labels to obtain a set of co-channel interference events, an adjacent-channel interference event set, an intermodulation interference event set, and an environmental interference event set. Each interference event set corresponds to a different type of interference source and interference manifestation during the communication process.

[0026] Next, co-channel interference tracing learning is performed based on the co-channel interference event set. This process first constructs an interference tracing architecture, which is divided into top-level interference features, intermediate interference features, and basic interference features. This interference tracing architecture is then used to identify the source of co-channel interference and identify multiple co-channel interference tracing paths, which represent the propagation paths of the co-channel interference source. These tracing paths are then optimized using Boolean logic association optimization technology to generate a co-channel interference tracing model. This model is then optimized using Markov chain reinforcement learning, ultimately establishing a co-channel interference tracing channel.

[0027] The subsequent interference tracing learning process for adjacent-channel interference event sets, intermodulation interference event sets, and environmental interference event sets is similar to the process for tracing learning for co-channel interference event sets. Specifically, a corresponding interference tracing architecture is first constructed for each interference type (adjacent-channel interference, intermodulation interference, and environmental interference). This architecture includes top-level interference features, intermediate interference features, and basic interference features, enabling multi-level analysis of interference events. Next, interference source tracing is performed for each interference event set. This involves analyzing and identifying different interference sources and their propagation paths to obtain multiple interference tracing paths. For example, interference sources in the adjacent-channel interference event set typically arise from mutual interference between signals with adjacent frequencies, interference sources in the intermodulation interference event set involve nonlinear interactions between signals in multiple frequency bands, and interference sources in the environmental interference event set arise from external environmental factors (such as electromagnetic interference and climate change). Tracing paths are analyzed based on these features. These tracing paths are then optimized using Boolean logic association optimization methods to generate corresponding interference tracing models. These models describe the specific location, propagation mode, and impact range of the interference source, providing a reliable basis for subsequent interference mitigation strategies. Finally, reinforcement learning is performed based on the Markov chain method to optimize and adjust the tracing model of each interference type, thereby generating adjacent frequency interference tracing channels, intermodulation interference tracing channels, and environmental interference tracing channels.

[0028] Finally, all interference tracing channels, including the same-frequency interference tracing channel, the adjacent-frequency interference tracing channel, the intermodulation interference tracing channel and the environmental interference tracing channel, are connected in parallel to form a multi-dimensional interference tracing channel.

[0029] Furthermore, in the method provided in the embodiment of the application, performing co-frequency interference tracing learning based on the co-frequency interference event set and establishing a co-frequency interference tracing channel further includes: An interference tracing architecture is constructed, wherein the interference tracing architecture includes top-level interference features, intermediate interference features, and basic interference features; the co-frequency interference source tracing is performed on the co-frequency interference event set according to the interference tracing architecture to obtain multiple co-frequency interference source tracing paths; Boolean logic association optimization is performed on the multiple co-frequency interference source tracing paths to obtain a co-frequency interference source tracing model; reinforcement learning is performed on the co-frequency interference source tracing model based on the Markov chain to generate the co-frequency interference tracing channel.

[0030] In the embodiment of the present application, an interference tracing architecture is first constructed, which consists of top-level interference features, intermediate interference features, and basic interference features. The top-level interference features cover system-level interference factors, such as the frequency bandwidth of the signal, signal strength, and the quality of the communication link. The intermediate interference features involve the relative frequency, time, and spatial relationship between the interference signal and the target signal. The basic interference features focus on more detailed information, such as the specific location, power, propagation path, etc. of the interference source.

[0031] Next, the interference tracing architecture is used to trace the source of co-channel interference within the co-channel interference event set. This process first uses spectrum analysis techniques, such as fast Fourier transforms (FFTs), to analyze the signal in the frequency domain to identify overlaps between signal frequencies. By analyzing all interference events recorded in the co-channel interference event set, the spectral characteristics, propagation paths, and locations of the interference sources are extracted. For example, if two signals have very close frequencies and overlap, these signals may be causing co-channel interference. This process identifies multiple co-channel interference source tracing paths.

[0032] Subsequently, multiple co-channel interference source tracing paths are optimized through Boolean logic association optimization. The Boolean logic method analyzes and optimizes the relationship between different interference paths through AND and OR operations. Through this process, the paths that play a major role in interference are screened out, and those paths that have less impact on communication quality are eliminated. For example, if path A and path B occur at the same time and overlap under certain conditions, their combined interference effect may be stronger than the interference of a single path. Through Boolean logic analysis, the correlation of these paths is determined, thereby accurately selecting the key interference paths. Ultimately, the co-channel interference source tracing model is obtained through Boolean logic association optimization. This model depicts the characteristics of the main interference paths and interference sources that affect communication quality.

[0033] Finally, reinforcement learning is performed using a Markov chain based on the generated co-channel interference source tracing model. This Markov chain establishes a state transition model for the interference source, simulating the transition probabilities between different states. For example, the state of the interference source may change over time. The Markov chain can represent the changes in the interference source's behavior through a state transition matrix and simulate the source's transitions under different environmental conditions. Combined with reinforcement learning, the system learns and adjusts based on feedback from the interference model. Through repeated training, the interference source identification process is optimized, and the ability to predict co-channel interference is gradually improved. During this process, rewards are given if the intensity of co-channel interference decreases, thereby driving model optimization. Ultimately, after optimization through reinforcement learning, a co-channel interference tracing channel is generated.

[0034] Step S300: performing interference detection on the dual-mode monitoring set according to the multi-dimensional interference tracing channel, and constructing a first interference detection map and a second interference detection map.

[0035] In an embodiment of the present application, when interference detection is performed on a dual-mode monitoring set based on a multi-dimensional interference tracing channel, the first communication monitoring set is first input into each interference tracing channel for analysis. These interference tracing channels include a co-channel interference tracing channel, an adjacent-channel interference tracing channel, an intermodulation interference tracing channel, and an environmental interference tracing channel. Each channel processes and analyzes different types of interference signals, and obtains the first co-channel interference tracing result, the first adjacent-channel interference tracing result, the first intermodulation interference tracing result, and the first environmental interference tracing result, respectively. Afterwards, these tracing results are sorted and integrated to generate a first interference detection map.

[0036] Similarly, the second communication monitoring set is input into various interference tracing channels for analysis. These interference tracing channels include co-channel interference tracing channels, adjacent-channel interference tracing channels, intermodulation interference tracing channels, and environmental interference tracing channels. Each channel processes and analyzes different types of interference signals, obtaining the second co-channel interference tracing results, the second adjacent-channel interference tracing results, the second intermodulation interference tracing results, and the second environmental interference tracing results, respectively. These tracing results are then sorted and integrated to generate the second interference detection map.

[0037] Furthermore, in the method provided in the embodiment of the application, interference detection is performed on the dual-mode monitoring set according to the multi-dimensional interference tracing channel, further comprising: Input the first communication monitoring set into the co-channel interference tracing channel to obtain the first co-channel interference tracing result; input the first communication monitoring set into the adjacent-channel interference tracing channel to obtain the first adjacent-channel interference tracing result; input the first communication monitoring set into the intermodulation interference tracing channel to obtain the first intermodulation interference tracing result; input the first communication monitoring set into the environmental interference tracing channel to obtain the first environmental interference tracing result; sort out the first co-channel interference tracing result, the first adjacent-channel interference tracing result, the first intermodulation interference tracing result and the first environmental interference tracing result to generate the first interference detection map.

[0038] In an embodiment of the present application, the first communication monitoring set is first input into the co-channel interference tracing channel to trace the co-channel interference. By analyzing parameters such as the frequency characteristics and signal strength of the signal, it is identified whether there is a co-channel interference source that overlaps with the target signal frequency. This process determines the interference source through interference tracing technology and generates a first co-channel interference tracing result. The first co-channel interference tracing result includes the positioning information of the co-channel interference source, that is, the interference source is located in the same frequency band as the target signal, and displays the potential impact of the interference source on the signal. It also includes the frequency range of the interference source and its possible propagation path.

[0039] The first communication monitoring set is then input into the adjacent-channel interference tracing channel to trace the adjacent-channel interference. By analyzing the frequency proximity of the signals, signals with close but incomplete frequency overlap are identified, and their impact on the target signal is analyzed. This process determines the adjacent-channel interference source and generates the first adjacent-channel interference tracing result, which shows the location information of the adjacent-channel interference source, i.e., the interference source is located near the target signal frequency but does not completely overlap. It also includes the spectrum range of the interference source and its interference pattern on the target signal.

[0040] The first communication monitoring set is then input into the intermodulation interference tracing channel for intermodulation interference tracing. Intermodulation interference is typically caused by nonlinear interactions between multiple frequency bands. Intermodulation effects generate new signal components between different frequencies. By analyzing these nonlinear interactions, the intermodulation interference source is identified and the first intermodulation interference tracing result is generated. This result includes the location of the intermodulation interference source, describing the frequency components generated by the interference source and their relationship with the target signal. It also includes the generation mechanism of the intermodulation effect and the spectral distribution of the interfering signal.

[0041] Next, the first communication monitoring set is input into the environmental interference tracing channel to trace the environmental interference. The interference source is identified by analyzing the impact of external environmental factors (such as electromagnetic interference sources and weather changes) on signal propagation. This process generates the first environmental interference tracing result, which includes the location of the interference source and describes how external factors, such as weather conditions, geographical obstacles, or other electromagnetic sources, affect signal propagation. The result also includes the spectrum range and interference type (such as static or dynamic electromagnetic interference) of the external interference source.

[0042] Finally, the first co-channel interference tracing results, the first adjacent-channel interference tracing results, the first intermodulation interference tracing results, and the first environmental interference tracing results are comprehensively sorted and integrated. By integrating these tracing results, a first interference detection map is generated. This map displays the location information, interference type, spectral characteristics, and interference pattern of all interference sources.

[0043] Furthermore, the method provided in the application embodiment also includes: An HRF interference warning signal is generated according to the first interference detection map.

[0044] In the embodiment of the present application, all interference information is first extracted from the first interference detection map. The map includes multiple interference types, such as co-channel interference, adjacent channel interference, intermodulation interference, and environmental interference, and details the frequency range and location of each interference source.

[0045] Next, the interference information in the first interference detection map is compared with the operating frequency band of the HRF communication module. By analyzing the frequency range of the interference sources displayed in the map, it is determined whether these interference sources overlap with or are close to the operating frequency of the HRF communication module. If the frequency range of the interference source overlaps with the operating frequency range of the HRF communication module, it means that the interference may affect the communication signal of the HRF communication module. Once frequency overlap or proximity is detected, an HRF interference warning signal is immediately generated to indicate the possible interference risk.

[0046] Furthermore, the method provided in the application embodiment also includes: An HPLC interference warning signal is generated according to the second interference detection spectrum.

[0047] In the embodiment of the present application, all interference information is first extracted from the second interference detection map. The second interference detection map includes different types of interference sources, such as co-channel interference, adjacent channel interference, intermodulation interference, and environmental interference, and details the frequency range and location of each interference source.

[0048] Next, the interference information in the second interference detection map is compared with the operating frequency band of the HPLC communication module. By analyzing the frequency range of the interference sources displayed in the second interference detection map, it is determined whether these interference sources overlap with or are close to the operating frequency of the HPLC communication module. If the frequency range of the interference source overlaps with the operating frequency range of the HPLC communication module, it means that the interference may affect the communication signal of the HPLC communication module. If frequency overlap or proximity is detected, an HPLC interference warning signal is generated to indicate the possible interference risk.

[0049] Step S400: performing interference suppression decision on the HRF communication module according to the first interference detection map to obtain a first interference suppression domain.

[0050] In an embodiment of the present application, when the HRF communication module is subjected to interference suppression decision-making according to the first interference detection spectrum, the location and identification information of all interference sources are first extracted from the first interference detection spectrum. The first interference detection spectrum lists the information of interference sources such as co-channel interference, adjacent frequency interference, intermodulation interference and environmental interference in detail, and shows the frequency range, position and potential impact of each interference source on the target signal. By analyzing this information, it is determined that the degree of influence of each interference source on the HRF communication module and its possible interference pattern.

[0051] Next, based on the information about these interference sources, the corresponding interference suppression solution is extracted from the preset decision library. Each solution is a comprehensive interference suppression decision, which means that a suppression solution can simultaneously address the impact of multiple interference sources. For example, when encountering co-channel interference and adjacent-channel interference, a suppression solution may be selected, which may simultaneously adopt frequency avoidance and bandpass filtering strategies to avoid overlap of co-channel signals and reduce the impact of adjacent-channel interference. For intermodulation interference and environmental interference, a solution may be selected, including methods such as power regulation and beamforming, to reduce the impact of intermodulation effects and environmental interference by adjusting power and optimizing signal propagation paths.

[0052] Each mitigation scheme includes multiple mitigation measures for different interference sources. These measures are designed to complement and work together to ensure that the HRF communication module can effectively reduce interference and maintain communication quality in complex interference environments. Ultimately, these comprehensive mitigation schemes are integrated into the first interference mitigation domain, which includes multiple interference mitigation schemes, each of which can simultaneously handle multiple types of interference sources. This ensures that the HRF communication module can take the optimal interference mitigation measures in various interference situations, improving communication stability and quality.

[0053] Step S500: introducing a communication interference suppression evaluation model to perform multiplication and optimization on the first interference suppression domain to obtain a first interference suppression strategy.

[0054] In an embodiment of the present application, when a communication interference suppression evaluation model is introduced to perform propagation optimization on the first interference suppression domain, each suppression scheme in the first interference suppression domain is first evaluated according to the communication interference suppression evaluation model to generate multiple interference suppression evaluation sequences. The communication interference suppression evaluation model includes multiple multidimensional interference suppression evaluation indicators, such as co-channel interference suppression quality, adjacent channel interference suppression quality, intermodulation interference suppression quality, and environmental interference suppression quality.

[0055] Next, based on multiple interference suppression evaluation sequences and multidimensional interference suppression evaluation constraints, the first interference suppression domain is evaluated and optimized, ultimately establishing the second interference suppression domain. On this basis, an interference suppression quality analytical model is established by weighting the multidimensional interference suppression evaluation indicators. The interference suppression quality of the second interference suppression domain is calculated, thereby obtaining an interference suppression quality distribution.

[0056] Then, based on the anti-interference quality distribution and the anti-interference quality constraints, the second interference suppression domain is optimized for anti-interference quality, establishing the third interference suppression domain. Finally, by combining the communication interference suppression evaluation model and the anti-interference quality analytical model, the third interference suppression domain is optimized through propagation and expansion, thereby obtaining the first interference suppression strategy.

[0057] Furthermore, in the method provided in the embodiment of the application, a communication interference suppression evaluation model is introduced to perform a multiplication optimization on the first interference suppression domain to obtain a first interference suppression strategy, and further includes: According to the communication interference suppression evaluation model, each interference suppression scheme in the first interference suppression domain is evaluated to obtain multiple interference suppression evaluation sequences, wherein the communication interference suppression evaluation model includes multidimensional interference suppression evaluation indicators, and the multidimensional interference suppression evaluation indicators include co-channel interference suppression quality, adjacent-channel interference suppression quality, intermodulation interference suppression quality and environmental interference suppression quality; based on the multiple interference suppression evaluation sequences, the first interference suppression domain is optimized according to the multidimensional interference suppression evaluation constraints to establish the second interference suppression domain; weights are allocated according to the multidimensional interference suppression evaluation indicators to establish an anti-interference quality analytical model; anti-interference quality is calculated for the second interference suppression domain according to the anti-interference quality analytical model to obtain an anti-interference quality distribution; based on the anti-interference quality distribution, anti-interference quality is optimized for the second interference suppression domain according to the anti-interference quality constraints to establish an interference suppression third domain; the third interference suppression domain is optimized by reproduction and expansion according to the communication interference suppression evaluation model and the anti-interference quality analytical model to obtain the first interference suppression strategy.

[0058] In an embodiment of the present application, each interference suppression scheme in the first interference suppression domain is first evaluated according to a communication interference suppression evaluation model. The communication interference suppression evaluation model is pre-trained based on training data. The training data includes a large number of historical interference suppression schemes, which involve different types of interference sources and corresponding suppression strategies. Each historical interference suppression scheme includes a specific suppression method, such as frequency hopping, power adjustment, bandpass filtering and other technical means. At the same time, each interference suppression scheme also corresponds to an evaluation coefficient marked by technical experts based on multidimensional interference suppression evaluation indicators. The evaluation coefficients include the co-channel interference suppression quality coefficient, the adjacent-channel interference suppression quality coefficient, the intermodulation interference suppression quality coefficient and the environmental interference suppression quality coefficient. During the training process, the historical interference suppression schemes in the training data are used as input, and the evaluation coefficients marked by technical experts are used as output. Training is performed using methods such as support vector machines to obtain a communication interference suppression evaluation model. The communication interference suppression evaluation model includes multidimensional interference suppression evaluation indicators, which include co-channel interference suppression quality, adjacent-channel interference suppression quality, intermodulation interference suppression quality and environmental interference suppression quality. Multiple interference suppression evaluation sequences are obtained by inputting each interference suppression scheme in the first interference suppression domain into a trained communication interference suppression evaluation model for evaluation.

[0059] Then, based on multiple interference suppression evaluation sequences, the first interference suppression domain is optimized according to the multi-dimensional interference suppression evaluation constraints. Specifically, the multi-dimensional interference suppression evaluation constraints include constraints on the quality of co-channel interference suppression, adjacent-channel interference suppression, intermodulation interference suppression, and environmental interference suppression, and each constraint is a pre-set threshold. The co-channel interference suppression quality coefficient, adjacent-channel interference suppression quality coefficient, intermodulation interference suppression quality coefficient, and environmental interference suppression quality coefficient in the multiple interference suppression evaluation sequences are respectively compared with the preset thresholds. When the co-channel interference suppression quality coefficient, the adjacent-channel interference suppression quality coefficient, the intermodulation interference suppression quality coefficient, and the environmental interference suppression quality coefficient simultaneously meet the corresponding thresholds, the interference suppression scheme corresponding to the interference suppression evaluation sequence is added to the second interference suppression domain. Through this comparison process, the second interference suppression domain is finally obtained.

[0060] Weights are then assigned based on the multi-dimensional interference suppression evaluation indicators. During this process, technical experts assign weights to the multi-dimensional interference suppression evaluation indicators. For example, a weight of 0.25 is assigned to each of the co-channel interference suppression quality, adjacent-channel interference suppression quality, intermodulation interference suppression quality, and environmental interference suppression quality. After completing the weight assignment, an anti-interference quality analytical model is established. The anti-interference quality analytical model is a weighted model and can be expressed as: anti-interference quality coefficient = 0.25 × co-channel interference suppression quality coefficient + 0.25 × adjacent-channel interference suppression quality coefficient + 0.25 × intermodulation interference suppression quality coefficient + 0.25 × environmental interference suppression quality coefficient.

[0061] Next, the interference suppression quality of the second domain is calculated based on the interference suppression quality analytical model. The interference suppression quality coefficient of each interference suppression solution in the second domain is calculated by weighting and summing the co-channel interference suppression quality coefficient, adjacent-channel interference suppression quality coefficient, intermodulation interference suppression quality coefficient, and environmental interference suppression quality coefficient of each solution in the second domain according to the preset weights. Finally, these interference suppression quality coefficients are integrated to obtain the interference suppression quality distribution.

[0062] Based on the obtained interference rejection quality distribution, the second interference rejection domain is then optimized for interference rejection quality according to the interference rejection quality constraint. The interference rejection quality constraint is a pre-set interference rejection quality coefficient threshold. During the interference rejection quality optimization process, the interference rejection quality coefficient of each solution in the second interference rejection domain is compared with the interference rejection quality coefficient threshold. Solutions with interference rejection quality coefficients greater than the interference rejection quality coefficient threshold are added to the third interference rejection domain. This process completes the establishment of the third interference rejection domain.

[0063] Finally, the third domain of interference suppression is expanded and optimized based on the communication interference suppression evaluation model and the anti-interference quality analytical model. This process first involves performing solution propagation on the third domain to generate the first domain of interference suppression. This involves performing crossover and mutation operations on existing solutions to generate a new set of solutions. Next, based on multidimensional interference suppression evaluation constraints and in conjunction with the communication interference suppression evaluation model, each solution in the first domain of interference suppression is evaluated for interference suppression. Solutions that meet these constraints are identified to obtain the second domain of interference suppression. Subsequently, based on anti-interference quality constraints and in conjunction with the anti-interference quality analytical model, the second domain of interference suppression is optimized for anti-interference quality, generating the third domain of interference suppression. Finally, the third domain of interference suppression is expanded to the third domain of interference suppression and optimized to maximize anti-interference quality, resulting in the final first interference suppression strategy.

[0064] Furthermore, in the method provided in the embodiment of the application, the interference suppression third domain is subjected to multiplication, expansion and optimization according to the communication interference suppression evaluation model and the anti-interference quality analysis model to obtain the first interference suppression strategy, further comprising: Perform scheme propagation on the third interference suppression domain to obtain a first interference suppression propagation domain; based on the multi-dimensional interference suppression evaluation constraint, perform interference suppression evaluation optimization on the first interference suppression propagation domain according to the communication interference suppression evaluation model to establish a second interference suppression propagation domain; based on the anti-interference quality constraint, perform anti-interference quality optimization on the second interference suppression propagation domain according to the anti-interference quality analytical model to obtain a third interference suppression propagation domain; expand the third interference suppression domain according to the third interference suppression propagation domain to generate a fourth interference suppression domain, and perform anti-interference quality maximization optimization based on the fourth interference suppression domain to obtain the first interference suppression strategy.

[0065] In an embodiment of the present application, the interference suppression third domain is firstly multiplied, and a genetic algorithm is used to perform crossover, mutation and other operations on the interference suppression scheme in the third domain to generate a new scheme, thereby obtaining the interference suppression first multiplication domain.

[0066] Then, based on the multidimensional interference suppression evaluation constraints, each scheme in the first interference suppression breeding domain is evaluated and optimized according to the communication interference suppression evaluation model. In this process. First, each scheme in the first interference suppression breeding domain is evaluated for interference suppression according to the communication interference suppression evaluation model to obtain a corresponding interference suppression evaluation sequence. Then, each interference suppression evaluation sequence is compared with the multidimensional interference suppression evaluation constraints. When the co-channel interference suppression quality coefficient, the adjacent-channel interference suppression quality coefficient, the intermodulation interference suppression quality coefficient and the environmental interference suppression quality coefficient in the interference suppression evaluation sequence simultaneously meet the thresholds corresponding to the multidimensional interference suppression evaluation constraints, the interference suppression scheme corresponding to the interference suppression evaluation sequence is added to the second interference suppression breeding domain. Through this comparison process, the second interference suppression breeding domain is finally obtained.

[0067] Next, based on the anti-interference quality constraint, the second interference suppression breeding domain is optimized for anti-interference quality using the anti-interference quality analytical model. This process is identical to the aforementioned process for optimizing anti-interference quality in the second interference suppression breeding domain. Each solution in the second interference suppression breeding domain is processed using the anti-interference quality analytical model to obtain the corresponding anti-interference quality coefficient. The anti-interference quality coefficient is then compared with the anti-interference quality constraint. If the anti-interference quality coefficient is greater than the anti-interference quality constraint, the corresponding solution is added to the third interference suppression breeding domain. This process ultimately results in the third interference suppression breeding domain.

[0068] The third domain is expanded by adding the solutions from the third domain to the third domain, resulting in the fourth domain. Finally, optimization is performed based on the fourth domain to maximize interference rejection quality. In this process, the interference rejection solution with the highest interference rejection quality coefficient in the fourth domain is selected as the first interference rejection strategy.

[0069] Step S600: performing interference suppression propagation optimization on the HPLC communication module according to the communication interference suppression evaluation model and the second interference detection map to obtain a second interference suppression strategy, and performing interference management on the dual-mode chip communication system in combination with the first interference suppression strategy.

[0070] In an embodiment of the present application, when performing interference suppression breeding and optimization on the HPLC communication module according to the communication interference suppression evaluation model and the second interference detection map, first, an interference suppression decision is made on the HPLC communication module according to the second interference detection map to obtain the fifth interference suppression domain. Then, based on the multidimensional interference suppression evaluation constraint, the communication interference suppression evaluation model is used to evaluate and optimize the scheme in the fifth interference suppression domain to generate the sixth interference suppression domain. Then, based on the anti-interference quality constraint, the anti-interference quality analytical model is used to optimize the scheme in the sixth interference suppression domain to obtain the seventh interference suppression domain. Finally, the communication interference suppression evaluation model and the anti-interference quality analytical model are combined to perform breeding, expansion and optimization on the seventh interference suppression domain to obtain the second interference suppression strategy.

[0071] Finally, the first and second interference suppression strategies jointly manage interference in the dual-mode chip communication system. The first interference suppression strategy optimizes interference suppression for the HRF communication module, while the second interference suppression strategy optimizes interference suppression for the HPLC communication module. By combining these two strategies, interference between the two communication modules in the dual-mode chip communication system is effectively managed, ensuring stable communication quality for both modules in varying interference environments.

[0072] Furthermore, in the method provided in the embodiment of the application, interference suppression propagation optimization is performed on the HPLC communication module according to the communication interference suppression evaluation model and the second interference detection map to obtain a second interference suppression strategy, further comprising: An interference suppression decision is made on the HPLC communication module according to the second interference detection map to obtain the fifth interference suppression domain; based on the multidimensional interference suppression evaluation constraint, the fifth interference suppression domain is optimized according to the communication interference suppression evaluation model to obtain the sixth interference suppression domain; based on the anti-interference quality constraint, the anti-interference quality of the sixth interference suppression domain is optimized according to the anti-interference quality analytical model to obtain the seventh interference suppression domain; the seventh interference suppression domain is optimized by reproduction and expansion according to the communication interference suppression evaluation model and the anti-interference quality analytical model to obtain the second interference suppression strategy.

[0073] In an embodiment of the present application, when making an interference suppression decision for the HPLC communication module based on the second interference detection spectrum, the process is similar to the aforementioned process of making an interference suppression decision for the HRF communication module based on the first interference detection spectrum. First, the various types of interference suffered by the HPLC communication module are analyzed through the second interference detection spectrum. Once these interference sources are identified, the corresponding interference suppression scheme is extracted from the preset decision library according to the characteristics of each interference source. The decision library contains a variety of interference suppression strategies, which are formulated according to different types of interference sources and module requirements. For example, for co-channel interference, the decision library may include frequency hopping or filtering strategies; for adjacent frequency interference, bandpass filtering or spectrum management methods may be selected; and for intermodulation interference, it is necessary to adjust the signal power or use more complex nonlinear interference elimination technology. Based on these analysis results, a strategy suitable for the current interference condition of the HPLC communication module is selected, thereby forming the fifth domain of interference suppression.

[0074] Next, based on multi-dimensional interference mitigation evaluation constraints, each solution in the fifth interference mitigation domain is evaluated and optimized using a communication interference mitigation evaluation model. This model assesses each solution's performance under various interference scenarios, evaluating multi-dimensional metrics such as co-channel interference mitigation, adjacent-channel interference mitigation, intermodulation interference mitigation, and environmental interference mitigation. By comparing each solution's evaluation results against pre-defined evaluation constraints, solutions that meet these constraints are selected, thus forming the sixth interference mitigation domain.

[0075] Based on the interference rejection quality constraint, an interference rejection quality analytical model is then used to optimize the interference rejection quality of each solution in the sixth domain of interference rejection. This process first calculates the interference rejection quality coefficient of each solution using the interference rejection quality analytical model. Each solution's interference rejection quality coefficient is then compared with the interference rejection quality constraint. Solutions with interference rejection quality coefficients exceeding the preset threshold in the constraint are extracted and integrated to form the seventh domain of interference rejection.

[0076] Finally, based on the communication interference suppression evaluation model and the anti-interference quality analytical model, the seventh domain of interference suppression is multiplied, expanded and optimized. This process is similar to the process of multiplying, expanding and optimizing the third domain of interference suppression based on the communication interference suppression evaluation model and the anti-interference quality analytical model. Specifically, first, the seventh domain of interference suppression is multiplied to obtain the fifth domain of interference suppression. Then, based on the multi-dimensional interference suppression evaluation constraints, the fifth domain of interference suppression is optimized according to the communication interference suppression evaluation model to establish the sixth domain of interference suppression. Subsequently, based on the anti-interference quality constraints, the sixth domain of interference suppression is optimized according to the anti-interference quality analytical model to obtain the seventh domain of interference suppression. Then, based on the seventh domain of interference suppression, the seventh domain of interference suppression is expanded to generate the eighth domain of interference suppression, and the anti-interference quality maximization optimization is performed based on the eighth domain of interference suppression to obtain the second interference suppression strategy.

[0077] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects: The present application performs real-time monitoring on a dual-mode chip communication system to obtain a dual-mode monitoring set, wherein the dual-mode chip communication system includes an HRF communication module and an HPLC communication module; performs multidimensional interference tracing learning based on the communication interference event set of the dual-mode chip communication system, and builds a multidimensional interference tracing channel; performs interference detection on the dual-mode monitoring set based on the multidimensional interference tracing channel, and constructs a first interference detection map and a second interference detection map; performs interference suppression decision-making on the HRF communication module based on the first interference detection map to obtain an interference suppression first domain; introduces a communication interference suppression evaluation model to perform multiplication and optimization on the interference suppression first domain to obtain a first interference suppression strategy; performs interference suppression multiplication and optimization on the HPLC communication module based on the communication interference suppression evaluation model and the second interference detection map to obtain a second interference suppression strategy, and combines the first interference suppression strategy to perform interference management on the dual-mode chip communication system. The present invention solves the technical problem that low-power dual-mode chips in the prior art have insufficient interference suppression effect in communication, and achieves the technical effect of effectively suppressing communication interference and improving communication quality and stability through multidimensional interference tracing learning and optimization of interference suppression strategies.

[0078] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0079] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0080] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. An interference suppression method for a low-power HRF+HPLC dual-mode chip, characterized in that: include: Performing real-time monitoring on a dual-mode chip communication system to obtain a dual-mode monitoring set, wherein the dual-mode chip communication system includes an HRF communication module and an HPLC communication module; Perform multi-dimensional interference tracing learning based on the communication interference event set of the dual-mode chip communication system, and build a multi-dimensional interference tracing channel; Perform interference detection on the dual-mode monitoring set according to the multi-dimensional interference tracing channel to construct a first interference detection map and a second interference detection map; Performing an interference suppression decision on the HRF communication module according to the first interference detection map to obtain an interference suppression first domain; Introducing a communication interference suppression evaluation model to perform multiplication optimization on the first interference suppression domain to obtain a first interference suppression strategy; According to the communication interference suppression evaluation model and the second interference detection map, interference suppression breeding optimization is performed on the HPLC communication module to obtain a second interference suppression strategy, and the first interference suppression strategy is combined to perform interference management on the dual-mode chip communication system.

2. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 1, wherein Performing multi-dimensional interference tracing learning based on the communication interference event set of the dual-mode chip communication system and building a multi-dimensional interference tracing channel includes: Classify the communication interference event set to obtain a co-channel interference event set, an adjacent-channel interference event set, an intermodulation interference event set, and an environmental interference event set; Perform co-frequency interference tracing learning based on the co-frequency interference event set and establish a co-frequency interference tracing channel; Performing adjacent-frequency interference tracing learning based on the adjacent-frequency interference event set and establishing an adjacent-frequency interference tracing channel; Performing intermodulation interference tracing learning based on the intermodulation interference event set and establishing an intermodulation interference tracing channel; Performing environmental interference tracing learning based on the environmental interference event set and establishing an environmental interference tracing channel; The co-channel interference tracing channel, the adjacent-channel interference tracing channel, the intermodulation interference tracing channel and the environmental interference tracing channel are connected in parallel to generate the multi-dimensional interference tracing channel.

3. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 2, wherein: Performing co-frequency interference tracing learning based on the co-frequency interference event set and establishing a co-frequency interference tracing channel includes: Constructing an interference tracing architecture, wherein the interference tracing architecture includes top-level interference features, intermediate interference features, and basic interference features; Performing co-channel interference tracing on the co-channel interference event set according to the interference tracing architecture to obtain multiple co-channel interference tracing paths; Perform Boolean logic association optimization according to the multiple co-channel interference tracing paths to obtain a co-channel interference tracing model; Reinforcement learning is performed on the co-frequency interference tracing model based on a Markov chain to generate the co-frequency interference tracing channel.

4. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 1, wherein: Performing interference detection on the dual-mode monitoring set according to the multi-dimensional interference tracing channel includes: Inputting the first communication monitoring set into the co-channel interference tracing channel to obtain a first co-channel interference tracing result; Inputting the first communication monitoring set into the adjacent frequency interference tracing channel to obtain a first adjacent frequency interference tracing result; Inputting the first communication monitoring set into an intermodulation interference tracing channel to obtain a first intermodulation interference tracing result; Inputting the first communication monitoring set into an environmental interference tracing channel to obtain a first environmental interference tracing result; The first co-channel interference tracing result, the first adjacent-channel interference tracing result, the first intermodulation interference tracing result, and the first environmental interference tracing result are sorted to generate the first interference detection map.

5. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 1, wherein: Introducing a communication interference suppression evaluation model to perform multiplication and optimization on the first interference suppression domain to obtain a first interference suppression strategy, including: Evaluate each interference suppression scheme in the first interference suppression domain according to the communication interference suppression evaluation model to obtain multiple interference suppression evaluation sequences, wherein the communication interference suppression evaluation model includes a multidimensional interference suppression evaluation index, and the multidimensional interference suppression evaluation index includes co-channel interference suppression quality, adjacent channel interference suppression quality, intermodulation interference suppression quality, and environmental interference suppression quality; Based on the multiple interference suppression evaluation sequences, performing interference suppression evaluation optimization on the first interference suppression domain according to multidimensional interference suppression evaluation constraints to establish a second interference suppression domain; Perform weight assignment according to the multi-dimensional interference suppression evaluation index and establish an anti-interference quality analysis model; performing anti-interference quality calculation on the interference suppression second domain according to the anti-interference quality analytical model to obtain an anti-interference quality distribution; Based on the anti-interference quality distribution, optimizing the anti-interference quality of the second interference suppression domain according to the anti-interference quality constraint to establish an interference suppression third domain; The interference suppression third domain is multiplied, expanded, and optimized according to the communication interference suppression evaluation model and the anti-interference quality analytical model to obtain the first interference suppression strategy.

6. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 5, wherein: The first interference suppression strategy is obtained by performing multiplication, expansion, and optimization on the interference suppression third domain according to the communication interference suppression evaluation model and the anti-interference quality analytical model, including: Performing scheme propagation on the interference suppression third domain to obtain an interference suppression first propagation domain; Based on the multidimensional interference suppression evaluation constraint, performing interference suppression evaluation optimization on the first interference suppression breeding domain according to the communication interference suppression evaluation model, and establishing a second interference suppression breeding domain; Based on the anti-interference quality constraint, optimizing the anti-interference quality of the interference suppression second breeding domain according to the anti-interference quality analytical model to obtain an interference suppression third breeding domain; The third interference suppression domain is expanded according to the third interference suppression propagation domain to generate a fourth interference suppression domain, and anti-interference quality maximization optimization is performed based on the fourth interference suppression domain to obtain the first interference suppression strategy.

7. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 1, wherein: Performing interference suppression propagation optimization on the HPLC communication module according to the communication interference suppression evaluation model and the second interference detection map to obtain a second interference suppression strategy, including: Performing interference suppression decision on the HPLC communication module according to the second interference detection spectrum to obtain an interference suppression fifth domain; Based on the multidimensional interference suppression evaluation constraint, performing interference suppression evaluation optimization on the fifth interference suppression domain according to the communication interference suppression evaluation model to obtain a sixth interference suppression domain; Based on the anti-interference quality constraint, optimizing the anti-interference quality of the sixth interference suppression domain according to the anti-interference quality analytical model to obtain the seventh interference suppression domain; The seventh interference suppression domain is subjected to multiplication, expansion and optimization according to the communication interference suppression evaluation model and the anti-interference quality analytical model to obtain the second interference suppression strategy.

8. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 1, wherein: Perform real-time monitoring of the dual-mode chip communication system to obtain a dual-mode monitoring set, including: Obtain HRF communication monitoring data and HPLC communication monitoring data; Performing data cleaning on the HRF communication monitoring data to obtain a first communication monitoring set; The HPLC communication monitoring data is cleaned to obtain a second communication monitoring set, which is combined with the first communication monitoring set to generate the dual-mode monitoring set.

9. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 1, wherein: An HRF interference warning signal is generated according to the first interference detection map.

10. The interference suppression method for a low-power HRF+HPLC dual-mode chip according to claim 1, characterized in that: An HPLC interference warning signal is generated according to the second interference detection spectrum.

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