Interference suppression method for low-power hrf+hplc dual-mode chip

Abstract

The application discloses an interference suppression method for a low-power-consumption HRF+HPLC dual-mode chip, and relates to the field of communication technology, and comprises the following steps: performing real-time monitoring on a dual-mode chip communication system to obtain a dual-mode monitoring set; building a multi-dimensional interference tracing channel, performing interference detection on the dual-mode monitoring set, and constructing a first interference detection graph and a second interference detection graph; performing interference suppression decision on an HRF communication module to obtain an interference suppression first domain, and performing reproduction optimization to obtain a first interference suppression strategy; performing interference suppression reproduction optimization on an HPLC communication module to obtain a second interference suppression strategy, and combining the first interference suppression strategy to perform interference management on the dual-mode chip communication system. The application solves the technical problem that the low-power-consumption dual-mode chip has insufficient interference suppression effect in communication in the prior art, and achieves the technical effects of effectively suppressing communication interference and improving communication quality and stability.

Description

TECHNICAL FIELD

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

[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 home and mobile devices. The core goal of low-power design is to prolong the service life of the device and reduce energy consumption. However, in actual application, these low-power dual-mode chips often face interference problems during communication, especially in complex environments, and the interference sources come from many aspects, such as co-frequency interference, adjacent frequency interference, and intermodulation interference. Although there are some interference suppression techniques at present, they often cannot fully solve the problem of insufficient suppression effect of low-power dual-mode chips in various interference environments. SUMMARY

[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 of insufficient interference suppression effect of low-power dual-mode chips in communication in the prior art.

[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, which comprises:

[0006] The dual-mode chip communication system is monitored in real time to obtain a dual-mode monitoring set, and the dual-mode chip communication system comprises an HRF communication module and an HPLC communication module; multi-dimensional interference tracing learning is performed according to a communication interference event set of the dual-mode chip communication system to build a multi-dimensional interference tracing channel; interference detection is performed 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; interference suppression decision is made on the HRF communication module according to the first interference detection map to obtain a first interference suppression domain; a communication interference suppression evaluation model is introduced to breed and optimize the first interference suppression domain to obtain a first interference suppression strategy; interference suppression breeding and 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, and interference management is performed on the dual-mode chip communication system in combination with the first interference suppression strategy.

[0007] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0008] 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

[0009] 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.

[0010] 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;

[0011] 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

[0012] 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.

[0013] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0014] It should be noted that any variation of the terms "comprising" and "having" is intended to cover the inclusion of not exclusive, for example, a process, method, system, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0015] As shown in the embodiments, the present application provides an interference suppression method for a low-power HRF+HPLC dual-mode chip, the method comprising: Figure 1

[0016] Step S100: Real-time monitoring of a dual-mode chip communication system to obtain a dual-mode monitoring set, wherein the dual-mode chip communication system comprises an HRF communication module and an HPLC communication module.

[0017] In the embodiments of the present application, the dual-mode chip communication system comprises an HRF communication module and an HPLC communication module, and the HRF communication monitoring data and the HPLC communication monitoring data are obtained by real-time monitoring through the monitoring tools and sensors embedded in the HRF communication module and the HPLC communication module.

[0018] The HRF communication monitoring data and the HPLC communication monitoring data are then cleaned respectively. After cleaning, the HRF communication monitoring data removes noise and outliers to generate a first communication monitoring set. Similarly, the HPLC communication monitoring data is also cleaned to obtain a second communication monitoring set.

[0019] Finally, the first communication monitoring set and the second communication monitoring set are combined to generate a dual-mode monitoring set.

[0020] Further, the method provided by the embodiments of the present application further comprises:

[0021] obtaining HRF communication monitoring data and HPLC communication monitoring data; cleaning the HRF communication monitoring data to obtain a first communication monitoring set; cleaning the HPLC communication monitoring data to obtain a second communication monitoring set; and combining the first communication monitoring set to generate the dual-mode monitoring set.

[0022] ​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.

[0023] 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.

[0024] 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.

[0025] Finally, the first communication monitoring set and the second communication monitoring set are integrated to obtain a dual-mode monitoring set.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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:

[0030] According to the classification according to the communication interference event set, a same-frequency interference event set, a neighboring-frequency interference event set, a cross-modulation interference event set and an environmental interference event set are obtained; according to the same-frequency interference event set, same-frequency interference backtracking learning is performed to establish a same-frequency interference backtracking channel; according to the neighboring-frequency interference event set, neighboring-frequency interference backtracking learning is performed to establish a neighboring-frequency interference backtracking channel; according to the cross-modulation interference event set, cross-modulation interference backtracking learning is performed to establish a cross-modulation interference backtracking channel; and according to the environmental interference event set, environmental interference backtracking learning is performed to establish an environmental interference backtracking channel; and the same-frequency interference backtracking channel, the neighboring-frequency interference backtracking channel, the cross-modulation interference backtracking channel and the environmental interference backtracking channel are connected in parallel to generate the multi-dimensional interference backtracking channel.

[0031] In the embodiments of the present application, first, according to the pre-set label in the communication interference event set, a same-frequency interference event set, a neighboring-frequency interference event set, a cross-modulation interference event set and an environmental interference event set are obtained. Each interference event set corresponds to different types of interference sources and interference behaviors in the communication process.

[0032] Next, according to the same-frequency interference event set, same-frequency interference backtracking learning is performed. In this process, first, an interference backtracking architecture is constructed, which is divided into top-level interference features, intermediate interference features and basic interference features. Then, through the interference backtracking architecture, same-frequency interference source combing is performed, and multiple same-frequency interference source paths are identified, which represent the propagation paths of the same-frequency interference sources. Subsequently, a Boolean logic association optimization technique is used to optimize these source paths, generate a same-frequency interference source model, and optimize the model through Markov chain reinforcement learning, and finally establish a same-frequency interference backtracking channel.

[0033] After that, according to the adjacent frequency interference event set, the intermodulation interference event set and the environmental interference event set, the interference tracing learning process is carried out, which is similar to the interference tracing learning process according to the co-frequency interference event set. Specifically, first, a corresponding interference tracing architecture is constructed for each type of interference (adjacent frequency interference, intermodulation interference, environmental interference), which includes top-level interference features, intermediate interference features and basic interference features, for multi-level analysis of interference events. Then, for each interference event set, interference source analysis is carried out, that is, by analyzing and identifying different interference sources and their propagation paths, a plurality of interference source paths are obtained. For example, the interference source in the adjacent frequency interference event set is usually caused by the mutual interference between signals adjacent in frequency, the interference source in the intermodulation interference event set involves nonlinear interaction effects between multiple frequency band signals, and the environmental interference event set is derived from external environmental factors (such as electromagnetic interference, climate change, etc.). According to these feature analysis source paths. Subsequently, the Boolean logic association optimization method is used to optimize these source paths to generate corresponding interference source models. These models describe the specific location, propagation mode and influence range of the interference source, and provide a reliable basis for subsequent interference suppression strategies. Finally, based on the Markov chain method, reinforcement learning is carried out to optimize and adjust the source model of each interference type, thereby generating adjacent frequency interference tracing channels, intermodulation interference tracing channels and environmental interference tracing channels.

[0034] Finally, all interference tracing channels, including co-frequency interference tracing channels, adjacent frequency interference tracing channels, intermodulation interference tracing channels and environmental interference tracing channels, are connected in parallel to form a multi-dimensional interference tracing channel.

[0035] Further, the method provided by the application embodiment further comprises:

[0036] constructing an interference tracing architecture, the interference tracing architecture comprising top-level interference features, intermediate interference features and basic interference features; performing co-frequency interference source analysis on the co-frequency interference event set according to the interference tracing architecture to obtain a plurality of co-frequency interference source paths; performing Boolean logic association optimization according to the plurality of co-frequency interference source paths to obtain a co-frequency interference source model; and performing reinforcement learning on the co-frequency interference source model based on a Markov chain to generate the co-frequency interference tracing channel.

[0037] In the embodiments of the present application, an interference tracing architecture is first constructed, which is composed 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 signals, signal strength, quality of communication links, etc. The intermediate interference features involve the relative frequency, time, and spatial relationship between the interfering signal and the target signal. The basic interference features focus on more detailed information, such as the specific location of the interference source, power, propagation path, etc.

[0038] Next, according to the interference tracing architecture, the co-frequency interference event set is combed for co-frequency interference tracing. In this process, first, the signal is analyzed in the frequency domain through spectral analysis techniques (such as Fast Fourier Transform (FFT)), and the overlapping parts between signal frequencies are identified. By analyzing all the interference events recorded in the co-frequency interference event set, the spectral features of the interfering signal, the propagation path, and the location of the interference source are extracted. For example, if the frequencies of two signals are very close and overlap, these signals can cause co-frequency interference. Through this process, multiple co-frequency interference tracing paths are combed.

[0039] Subsequently, through Boolean logic association optimization, the multiple co-frequency interference tracing paths are optimized. The Boolean logic method analyzes and optimizes the relationship between different interference paths through and operations. Through this process, paths that play a major role in interference are selected, and paths that have a relatively small impact on communication quality are eliminated. For example, if path A and path B occur simultaneously and overlap under certain conditions, their combined interference effect may be stronger than that of a single path. Through Boolean logic analysis, the correlation of these paths is determined, so that the key interference paths are accurately selected. Finally, through Boolean logic association optimization, a co-frequency interference tracing model is obtained, which depicts the main interference paths and the characteristics of the interference sources that affect communication quality.

[0040] Finally, based on the generated co-frequency interference tracing model, reinforcement learning is performed through Markov chains. Markov chains simulate the transition probabilities of interference sources in different states by establishing a state transition model of the interference sources. For example, the state of the interference source may change over time, and Markov chains can represent the behavior changes of the interference source through a state transition matrix, and simulate the transition of the interference source under different environmental conditions. Combined with reinforcement learning, learning and adjustment are performed according to the feedback of the interference model. Through repeated training, the identification process of the interference source is optimized, and the prediction ability of the co-frequency interference is gradually improved. In this process, if the intensity of the co-frequency interference decreases, a reward is given to promote the optimization of the model. Finally, after optimization through reinforcement learning, a co-frequency interference tracing channel is generated.

[0041] Step S300: According to the multi-dimensional interference tracing channel, interference detection is performed on the dual-mode monitoring set, and a first interference detection map and a second interference detection map are constructed.

[0042] In the embodiments of the present application, when the multi-dimensional interference tracing channel is used to detect the interference of the dual-mode monitoring set, 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, a cross modulation interference tracing channel and an environmental interference tracing channel. Each channel processes and analyzes different types of interference signals to obtain a first co-channel interference tracing result, a first adjacent channel interference tracing result, a first cross modulation interference tracing result and a first environmental interference tracing result. Then, these tracing results are sorted and integrated to generate a first interference detection map.

[0043] Similarly, the second communication monitoring set is 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, a cross modulation interference tracing channel and an environmental interference tracing channel. Each channel processes and analyzes different types of interference signals to obtain a second co-channel interference tracing result, a second adjacent channel interference tracing result, a second cross modulation interference tracing result and a second environmental interference tracing result. Then, these tracing results are sorted and integrated to generate a second interference detection map.

[0044] Further, the method provided by the embodiments of the present application further includes the following steps:

[0045] The first communication monitoring set is input into a co-channel interference tracing channel to obtain a first co-channel interference tracing result. The first communication monitoring set is input into an adjacent channel interference tracing channel to obtain a first adjacent channel interference tracing result. The first communication monitoring set is input into a cross modulation interference tracing channel to obtain a first cross modulation interference tracing result. The first communication monitoring set is input 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 cross modulation interference tracing result and the first environmental interference tracing result are sorted to generate the first interference detection map.

[0046] In the embodiments of the present application, the first communication monitoring set is first input into a co-channel interference tracing channel for co-channel interference tracing. By analyzing the frequency characteristics and signal strength of the signal, it is determined whether there is a co-channel interference source overlapping with the frequency of the target signal. This process determines the interference source by 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, i.e., 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.

[0047] The first communication monitoring set is then input into the adjacent frequency interference tracing channel for adjacent frequency interference tracing. By analyzing the frequency proximity of signals, signals with close but not completely overlapping frequencies are identified, and their impact on the target signal is analyzed. Through this process, the adjacent frequency interference source is determined and the first adjacent frequency interference tracing result is generated, which shows the positioning information of the adjacent frequency interference source, i.e., the interference source is located near the target signal frequency but not completely overlapping. It also includes the spectral range of the interference source and its interference pattern with the target signal.

[0048] The first communication monitoring set is then input into the adjacent frequency interference tracing channel for adjacent frequency interference tracing. By analyzing the frequency proximity of signals, signals with close but not completely overlapping frequencies are identified, and their impact on the target signal is analyzed. Through this process, the adjacent frequency interference source is determined and the first adjacent frequency interference tracing result is generated, which shows the positioning information of the adjacent frequency interference source, i.e., the interference source is located near the target signal frequency but not completely overlapping. It also includes the spectral range of the interference source and its interference pattern with the target signal.

[0049] The first communication monitoring set is then input into the adjacent frequency interference tracing channel for adjacent frequency interference tracing. By analyzing the frequency proximity of signals, signals with close but not completely overlapping frequencies are identified, and their impact on the target signal is analyzed. Through this process, the adjacent frequency interference source is determined and the first adjacent frequency interference tracing result is generated, which shows the positioning information of the adjacent frequency interference source, i.e., the interference source is located near the target signal frequency but not completely overlapping. It also includes the spectral range of the interference source and its interference pattern with the target signal.

[0050] Finally, the first co-frequency interference tracing result, the first adjacent frequency interference tracing result, the first intermodulation interference tracing result, and the first environmental interference tracing result are comprehensively sorted and integrated. By integrating these tracing results, the first interference detection map is generated. This map shows the positioning information of all interference sources, the type of interference, the spectral characteristics of the interference source, and the interference pattern.

[0051] Further, the method provided by the application embodiment further comprises:

[0052] According to the first interference detection map, a HRF interference early warning signal is generated.

[0053] In the application embodiment, first, all interference information is extracted from the first interference detection map. The map includes various types of interference, such as co-frequency interference, adjacent frequency interference, intermodulation interference, and environmental interference, and details the frequency range and location of each interference source.

[0054] Next, compare the interference information in the first interference detection map with the operating frequency band of the HRF communication module. By analyzing the frequency range of the interference sources shown in the map, determine whether these interference sources overlap or approach the operating frequency of the HRF communication module. When the frequency range of the interference sources overlaps with the operating frequency range of the HRF communication module, it means that the interference may affect the communication signals of the HRF communication module. Once frequency overlap or approach is detected, generate an HRF interference warning signal to prompt possible interference risks.

[0055] Further, the method provided by the application embodiment further comprises:

[0056] According to the second interference detection map, generate an HPLC interference warning signal.

[0057] In the application embodiment, first extract all interference information 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.

[0058] Next, compare the interference information in the second interference detection map with the operating frequency band of the HPLC communication module. By analyzing the frequency range of the interference sources shown in the second interference detection map, determine whether these interference sources overlap or approach the operating frequency of the HPLC communication module. When the frequency range of the interference sources overlaps with the operating frequency range of the HPLC communication module, it means that the interference may affect the communication signals of the HPLC communication module. Once frequency overlap or approach is detected, generate an HPLC interference warning signal to prompt possible interference risks.

[0059] Step S400: According to the first interference detection map, make an interference suppression decision for the HRF communication module to obtain an interference suppression first domain.

[0060] In the application embodiment, when making an interference suppression decision for the HRF communication module according to the first interference detection map, first extract the positioning and identification information of all interference sources from the first interference detection map. The first interference detection map details the information of interference sources such as co-channel interference, adjacent channel interference, intermodulation interference, and environmental interference, and shows the frequency range, location, and potential impact on target signals of each interference source. By analyzing this information, determine the impact of each interference source on the HRF communication module and its possible interference mode.

[0061] Next, according to the information of these interference sources, the corresponding interference suppression scheme is extracted from the pre-set decision library. Each scheme is a comprehensive interference suppression decision, meaning that one suppression scheme can handle the effects of multiple interference sources at the same time. For example, when encountering co-frequency interference and adjacent frequency interference, a suppression scheme is selected, which may simultaneously adopt frequency avoidance and bandpass filtering strategies to avoid the overlap of co-frequency signals and reduce the impact of adjacent frequency interference. For the case of intermodulation interference and environmental interference, a scheme may be selected, which includes power adjustment and beamforming methods to reduce the effects of intermodulation and environmental interference by adjusting power and optimizing the propagation path of the signal.

[0062] Each suppression scheme contains multiple suppression measures for different interference sources, which are designed to work complementarily and cooperatively to ensure that the HRF communication module can effectively reduce interference and maintain communication quality in a complex interference environment. Finally, these comprehensive suppression schemes are integrated into the interference suppression first domain, which includes multiple interference suppression schemes, each of which can handle multiple types of interference sources at the same time, ensuring that the HRF communication module can take the best interference suppression measures in various interference situations, improving communication stability and quality.

[0063] Step S500: Introduce a communication interference suppression evaluation model to breed and optimize the interference suppression first domain to obtain a first interference suppression strategy.

[0064] In the embodiments of the present application, when the communication interference suppression evaluation model is introduced to breed and optimize the interference suppression first domain, first, the communication interference suppression evaluation model is used to evaluate each suppression scheme in the interference suppression first domain, generating multiple interference suppression evaluation sequences. The communication interference suppression evaluation model contains multiple multi-dimensional interference suppression evaluation indexes, such as co-frequency interference suppression quality, adjacent frequency interference suppression quality, intermodulation interference suppression quality, and environmental interference suppression quality.

[0065] Next, according to the multiple interference suppression evaluation sequences, the interference suppression first domain is evaluated and optimized according to the multi-dimensional interference suppression evaluation constraints, and finally the interference suppression second domain is established. On this basis, through the weight distribution of the multi-dimensional interference suppression evaluation indexes, an anti-interference quality analysis model is established to calculate the anti-interference quality of the interference suppression second domain, thereby obtaining the anti-interference quality distribution.

[0066] Subsequently, based on the anti-interference quality distribution, the anti-interference quality of the interference suppression second domain is optimized according to the anti-interference quality constraints, establishing the interference suppression third domain. Finally, the interference suppression third domain is bred and expanded for optimization in combination with the communication interference suppression evaluation model and the anti-interference quality analysis model, thereby obtaining the first interference suppression strategy.

[0067] Further, the method provided by the application embodiment further comprises:

[0068] According to the communication interference suppression evaluation model, each interference suppression scheme in the interference suppression first domain is evaluated to obtain a plurality of interference suppression evaluation sequences. The communication interference suppression evaluation model comprises a multi-dimensional interference suppression evaluation index, and the multi-dimensional interference suppression evaluation index comprises a co-frequency interference suppression quality, an adjacent frequency interference suppression quality, a cross modulation interference suppression quality and an environmental interference suppression quality. Based on the plurality of interference suppression evaluation sequences, interference suppression evaluation optimization is performed on the interference suppression first domain according to a multi-dimensional interference suppression evaluation constraint to establish an interference suppression second domain. A weight distribution is established according to the multi-dimensional interference suppression evaluation index to establish an anti-interference quality analysis model. Anti-interference quality calculation is performed on the interference suppression second domain according to the anti-interference quality analysis model to obtain an anti-interference quality distribution. Based on the anti-interference quality distribution, anti-interference quality optimization is performed on the interference suppression second domain according to an anti-interference quality constraint to establish an interference suppression third domain. Reproduction expansion optimization is performed on the interference suppression third domain according to the communication interference suppression evaluation model and the anti-interference quality analysis model to obtain the first interference suppression strategy.

[0069] In the application embodiment, first, each interference suppression scheme in the interference suppression first domain is 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 comprises a large number of historical interference suppression schemes, which involve different types of interference sources and corresponding suppression strategies. Each historical interference suppression scheme comprises a specific suppression method, such as frequency hopping, power adjustment, band-pass filtering and the like. Meanwhile, each interference suppression scheme corresponds to an evaluation coefficient marked by a technical expert according to a multi-dimensional interference suppression evaluation index. The evaluation coefficient comprises a co-frequency interference suppression quality coefficient, an adjacent frequency interference suppression quality coefficient, a cross modulation interference suppression quality coefficient and an environmental interference suppression quality coefficient. In the training process, the historical interference suppression schemes in the training data are taken as input, the evaluation coefficient marked by the technical expert is taken as output, and a support vector machine or the like is used for training to obtain the communication interference suppression evaluation model. The communication interference suppression evaluation model comprises a multi-dimensional interference suppression evaluation index, and the multi-dimensional interference suppression evaluation index comprises a co-frequency interference suppression quality, an adjacent frequency interference suppression quality, a cross modulation interference suppression quality and an environmental interference suppression quality. Each interference suppression scheme in the interference suppression first domain is input into the trained communication interference suppression evaluation model for evaluation to obtain a plurality of interference suppression evaluation sequences.

[0070] Subsequently, based on the plurality of interference suppression evaluation sequences, interference suppression evaluation optimization is performed on the interference suppression first domain according to multi-dimensional interference suppression evaluation constraints. Specifically, the multi-dimensional interference suppression evaluation constraints include constraints on the co-frequency interference suppression quality, adjacent frequency interference suppression quality, intermodulation interference suppression quality and environmental interference suppression quality, each of which is a pre-set threshold. The co-frequency interference suppression quality coefficient, adjacent frequency interference suppression quality coefficient, intermodulation interference suppression quality coefficient and environmental interference suppression quality coefficient in the plurality of interference suppression evaluation sequences are compared with the pre-set thresholds respectively, and when the co-frequency interference suppression quality coefficient, adjacent frequency interference suppression quality coefficient, intermodulation interference suppression quality coefficient and environmental interference suppression quality coefficient simultaneously satisfy the corresponding thresholds, the interference suppression scheme corresponding to the interference suppression evaluation sequence is added to the interference suppression second domain. Through this comparison process, the interference suppression second domain is finally obtained.

[0071] Subsequently, weight distribution is performed according to the multi-dimensional interference suppression evaluation indexes. In this process, weight distribution is performed on the multi-dimensional interference suppression evaluation indexes by technical experts, for example, the weights of the co-frequency interference suppression quality, adjacent frequency interference suppression quality, intermodulation interference suppression quality and environmental interference suppression quality are each 0.25. After completing the weight distribution, an anti-interference quality analysis model is established. The anti-interference quality analysis model is a weighted model, which can be expressed as anti-interference quality coefficient = 0.25 x co-frequency interference suppression quality coefficient + 0.25 x adjacent frequency interference suppression quality coefficient + 0.25 x intermodulation interference suppression quality coefficient + 0.25 x environmental interference suppression quality coefficient.

[0072] Next, according to the anti-interference quality analysis model, anti-interference quality calculation is performed on the interference suppression second domain, and the anti-interference quality coefficient of each interference suppression scheme is calculated by weighting and summing the co-frequency interference suppression quality coefficient, adjacent frequency interference suppression quality coefficient, intermodulation interference suppression quality coefficient and environmental interference suppression quality coefficient of each scheme in the interference suppression second domain according to the set weights. Finally, the anti-interference quality coefficients are integrated to obtain an anti-interference quality distribution.

[0073] Then, based on the obtained anti-interference quality distribution, anti-interference quality optimization is performed on the interference suppression second domain according to anti-interference quality constraints. The anti-interference quality constraint is a pre-set anti-interference quality coefficient threshold. When performing anti-interference quality optimization, the anti-interference quality coefficient of each scheme in the interference suppression second domain is compared with the anti-interference quality coefficient threshold, and the scheme corresponding to the anti-interference quality coefficient greater than the anti-interference quality coefficient threshold is added to the interference suppression third domain. Through this process, the establishment of the interference suppression third domain is finally completed.

[0074] Finally, the interference suppression third domain is bred and expanded for optimization according to the communication interference suppression evaluation model and the anti-interference quality analysis model. In this process, first, the interference suppression third domain is bred for a scheme to generate an interference suppression first breeding domain, that is, a new scheme set is generated by performing operations such as crossover and mutation on an existing scheme. Then, based on the multi-dimensional interference suppression evaluation constraint and in combination with the communication interference suppression evaluation model, the interference suppression evaluation is performed on each scheme in the interference suppression first breeding domain to find a scheme that satisfies the multi-dimensional interference suppression evaluation constraint, and an interference suppression second breeding domain is obtained. Subsequently, based on the anti-interference quality constraint and in combination with the anti-interference quality analysis model, the anti-interference quality optimization is performed on the interference suppression second breeding domain to generate an interference suppression third breeding. Finally, the interference suppression third breeding domain is expanded to the interference suppression third domain, and the anti-interference quality maximization optimization is performed, so that the final first interference suppression strategy is obtained.

[0075] Further, the method provided in the application embodiment further includes the following steps.

[0076] The interference suppression third domain is bred for a scheme to obtain an interference suppression first breeding domain. Based on the multi-dimensional interference suppression evaluation constraint and in combination with the communication interference suppression evaluation model, the interference suppression evaluation optimization is performed on the interference suppression first breeding domain to establish an interference suppression second breeding domain. Based on the anti-interference quality constraint and in combination with the anti-interference quality analysis model, the anti-interference quality optimization is performed on the interference suppression second breeding domain to obtain an interference suppression third breeding domain. The interference suppression third breeding domain is expanded to the interference suppression third domain to generate an interference suppression fourth domain, and the anti-interference quality maximization optimization is performed based on the interference suppression fourth domain to obtain the first interference suppression strategy.

[0077] In the application embodiment, first, the interference suppression third domain is bred for a scheme, and new schemes are generated by performing operations such as crossover and mutation on the interference suppression schemes in the interference suppression third domain by using a genetic algorithm, so that an interference suppression first breeding domain is obtained.

[0078] Subsequently, based on the multi-dimensional interference suppression evaluation constraint, each scheme in the interference suppression first breeding domain is evaluated and optimized according to the communication interference suppression evaluation model. In this process, first, each scheme in the interference suppression first breeding domain is evaluated according to the communication interference suppression evaluation model, and the corresponding interference suppression evaluation sequence is obtained. Then, each interference suppression evaluation sequence is compared with the multi-dimensional interference suppression evaluation constraint. When the co-frequency interference suppression quality coefficient, the adjacent frequency interference suppression quality coefficient, the intermodulation interference suppression quality coefficient and the environmental interference suppression quality coefficient in the interference suppression evaluation sequence simultaneously satisfy the threshold corresponding to the multi-dimensional interference suppression evaluation constraint, the interference suppression scheme corresponding to the interference suppression evaluation sequence is added to the interference suppression second breeding domain. Through this comparison process, the interference suppression second breeding domain is finally obtained.

[0079] Then, based on the anti-interference quality constraint, the anti-interference quality of the interference suppression second breeding domain is optimized according to the anti-interference quality analysis model. This process is the same as the aforementioned process of optimizing the anti-interference quality of the interference suppression second domain. Each scheme in the interference suppression second breeding domain is processed by the anti-interference quality analysis model, and the corresponding anti-interference quality coefficient is obtained. Then, the anti-interference quality coefficient is compared with the anti-interference quality constraint. When the anti-interference quality coefficient is greater than the anti-interference quality constraint, the corresponding scheme is added to the interference suppression third breeding domain. Through this process, the interference suppression third breeding domain is finally obtained.

[0080] In combination with adding the schemes in the interference suppression third breeding domain to the interference suppression third domain, the expansion of the interference suppression third domain is completed, and the interference suppression fourth domain is obtained. Finally, the anti-interference quality maximization optimization is performed based on the interference suppression fourth domain. In this process, the interference suppression scheme with the maximum anti-interference quality coefficient in the interference suppression fourth domain is selected as the first interference suppression strategy.

[0081] Step S600: According to the communication interference suppression evaluation model and the second interference detection map, the HPLC communication module is bred and optimized for interference suppression, and the second interference suppression strategy is obtained. In combination with the first interference suppression strategy, the interference management of the dual-mode chip communication system is performed.

[0082] In the embodiment of the present application, when the HPLC communication module is subjected to interference suppression and reproduction optimization according to the communication interference suppression evaluation model and the second interference detection map, first, the HPLC communication module is subjected to interference suppression decision according to the second interference detection map, and an interference suppression fifth domain is obtained. Then, based on multi-dimensional interference suppression evaluation constraints, the communication interference suppression evaluation model is used to evaluate and optimize the schemes in the interference suppression fifth domain, and an interference suppression sixth domain is generated. Then, based on the anti-interference quality constraint, the anti-interference quality analysis model is used to optimize the schemes in the interference suppression sixth domain, and an interference suppression seventh domain is obtained. Finally, the interference suppression seventh domain is subjected to reproduction expansion optimization in combination with the communication interference suppression evaluation model and the anti-interference quality analysis model, and a second interference suppression strategy is obtained.

[0083] Finally, the first interference suppression strategy and the second interference suppression strategy are combined to manage the interference of the dual-mode chip communication system. The first interference suppression strategy is an interference suppression optimization scheme on the HRF communication module, and the second interference suppression strategy is an optimization scheme applied to the HPLC communication module. By combining the two strategies, the interference problem of the two communication modules in the dual-mode chip communication system is effectively managed, and it is ensured that the two modules can maintain stable communication quality in different interference environments.

[0084] Further, the method provided by the embodiment of the application further comprises the following steps:

[0085] According to the second interference detection map, the HPLC communication module is subjected to interference suppression decision, and an interference suppression fifth domain is obtained. Based on multi-dimensional interference suppression evaluation constraints, the communication interference suppression evaluation model is used to evaluate and optimize the schemes in the interference suppression fifth domain, and an interference suppression sixth domain is generated. Then, based on the anti-interference quality constraint, the anti-interference quality analysis model is used to optimize the schemes in the interference suppression sixth domain, and an interference suppression seventh domain is obtained. Finally, the interference suppression seventh domain is subjected to reproduction expansion optimization in combination with the communication interference suppression evaluation model and the anti-interference quality analysis model, and the second interference suppression strategy is obtained.

[0086] In the embodiments of the present application, when making interference suppression decisions for the HPLC communication module according to the second interference detection map, the process is similar to the aforementioned process of making interference suppression decisions for the HRF communication module according to the first interference detection map. First, the HPLC communication module is analyzed for various types of interference by the second interference detection map. Once the 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 various 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 contain frequency hopping or filtering strategies; for adjacent channel interference, bandpass filtering or spectrum management methods may be selected; and for intermodulation interference, signal power needs to be adjusted or more complex nonlinear interference cancellation techniques need to be used. Based on these analysis results, the strategy suitable for the current interference condition of the HPLC communication module is selected, thereby forming the interference suppression fifth domain.

[0087] Then, based on the multi-dimensional interference suppression evaluation constraints, each scheme in the interference suppression fifth domain is evaluated and optimized for interference suppression by a communication interference suppression evaluation model. The communication interference suppression evaluation model evaluates the performance of each scheme under various interference scenarios, and evaluates multi-dimensional indicators of co-channel interference suppression quality, adjacent channel interference suppression quality, intermodulation interference suppression quality, and environmental interference suppression quality. By comparing the evaluation results of each scheme with the preset evaluation constraints, the schemes that meet these constraint conditions are selected, thereby forming the interference suppression sixth domain.

[0088] Subsequently, based on the anti-interference quality constraints, the anti-interference quality of each scheme in the interference suppression sixth domain is optimized using an anti-interference quality analysis model. This process first calculates the anti-interference quality coefficient of each scheme by the anti-interference quality analysis model. Then, the anti-interference quality coefficient of each scheme is compared with the anti-interference quality constraint, and the schemes whose anti-interference quality coefficients are greater than the preset threshold in the anti-interference quality constraint are extracted and integrated to obtain the interference suppression seventh domain.

[0089] Finally, according to the communication interference suppression evaluation model and the anti-interference quality analysis model, the interference suppression seventh domain is bred and expanded for optimization. The process is similar to the process of breeding and expanding the interference suppression third domain for optimization according to the communication interference suppression evaluation model and the anti-interference quality analysis model. Specifically, first, the interference suppression seventh domain is bred to obtain the interference suppression fifth breeding domain. Then, based on the multi-dimensional interference suppression evaluation constraint, the interference suppression fifth breeding domain is evaluated and optimized according to the communication interference suppression evaluation model to establish the interference suppression sixth breeding domain. Subsequently, based on the anti-interference quality constraint, the anti-interference quality of the interference suppression sixth breeding domain is optimized according to the anti-interference quality analysis model to obtain the interference suppression seventh breeding domain. Then, the interference suppression seventh domain is expanded according to the interference suppression seventh breeding domain to generate the interference suppression eighth domain, and the anti-interference quality is maximized based on the interference suppression eighth domain to obtain the second interference suppression strategy.

[0090] In the embodiments of the present application, as described above, the embodiments of the present application have at least the following technical effects:

[0091] The present application monitors a dual-mode chip communication system in real time to obtain a dual-mode monitoring set, the dual-mode chip communication system including an HRF communication module and an HPLC communication module; multi-dimensional interference tracing learning is performed according to a communication interference event set of the dual-mode chip communication system to build a multi-dimensional interference tracing channel; interference detection is performed on the dual-mode monitoring set according to the multi-dimensional interference tracing channel to construct a first interference detection atlas and a second interference detection atlas; interference suppression decision is made on the HRF communication module according to the first interference detection atlas to obtain an interference suppression first domain; a communication interference suppression evaluation model is introduced to breed and optimize the interference suppression first domain to obtain a first interference suppression strategy; interference suppression breeding and optimization is performed on the HPLC communication module according to the communication interference suppression evaluation model and the second interference detection atlas to obtain a second interference suppression strategy, and the dual-mode chip communication system is managed in interference according to the first interference suppression strategy. The present application solves the technical problem of insufficient interference suppression effect of a low-power dual-mode chip in communication in the prior art, and achieves the technical effects of effectively suppressing communication interference and improving communication quality and stability through multi-dimensional interference tracing learning and optimization of interference suppression strategies.

[0092] It should be noted that the above sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of the present application. The processes depicted in the drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0093] The above description is only the preferred embodiment of the present application, and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0094] The specification and drawings are only exemplary and illustrative of the present application and are considered to cover any and all modifications, variations, combinations or equivalents that are within the scope of the present application. Obviously, various modifications and changes can be made to the present application by those skilled in the art without departing from the scope of the present application. Thus, it is intended that the present application cover the modifications and changes as they come within the scope of the application, and that the scope of the application be limited only by the claims.

Claims

1. An interference rejection method for a low power HRF+HPLC dual mode chip, characterized by, The method comprises the following steps: Real-time monitoring of a dual-mode chip communication system to obtain a dual-mode monitoring set, wherein the dual-mode chip communication system comprises an HRF communication module and an HPLC communication module; Multi-dimensional interference backtracking learning according to a communication interference event set of the dual-mode chip communication system to build a multi-dimensional interference backtracking channel; Interference detection of the dual-mode monitoring set according to the multi-dimensional interference backtracking channel to construct a first interference detection atlas and a second interference detection atlas; Interference suppression decision of the HRF communication module according to the first interference detection atlas to obtain an interference suppression first domain; Introduction of a communication interference suppression evaluation model to breed and optimize the interference suppression first domain to obtain a first interference suppression strategy; Interference suppression breeding and optimization of the HPLC communication module according to the communication interference suppression evaluation model and the second interference detection atlas to obtain a second interference suppression strategy, and combination of the first interference suppression strategy for interference management of the dual-mode chip communication system; Wherein, the multi-dimensional interference backtracking learning according to the communication interference event set of the dual-mode chip communication system to build a multi-dimensional interference backtracking channel comprises: Classification according to the communication interference event set to obtain a same-frequency interference event set, a neighboring-frequency interference event set, a cross-modulation interference event set and an environmental interference event set; Same-frequency interference backtracking learning according to the same-frequency interference event set to build a same-frequency interference backtracking channel; Neighboring-frequency interference backtracking learning according to the neighboring-frequency interference event set to build a neighboring-frequency interference backtracking channel; Cross-modulation interference backtracking learning according to the cross-modulation interference event set to build a cross-modulation interference backtracking channel; Environmental interference backtracking learning according to the environmental interference event set to build an environmental interference backtracking channel; Parallel connection of the same-frequency interference backtracking channel, the neighboring-frequency interference backtracking channel, the cross-modulation interference backtracking channel and the environmental interference backtracking channel to generate the multi-dimensional interference backtracking channel; Wherein, the introduction of the communication interference suppression evaluation model to breed and optimize the interference suppression first domain to obtain the first interference suppression strategy comprises: Evaluation of each interference suppression scheme in the interference suppression first domain according to the communication interference suppression evaluation model to obtain a plurality of interference suppression evaluation sequences, wherein the communication interference suppression evaluation model comprises a multi-dimensional interference suppression evaluation index, and the multi-dimensional interference suppression evaluation index comprises a same-frequency interference suppression quality, a neighboring-frequency interference suppression quality, a cross-modulation interference suppression quality and an environmental interference suppression quality; Interference suppression evaluation optimization of the interference suppression first domain according to a multi-dimensional interference suppression evaluation constraint based on the plurality of interference suppression evaluation sequences to build an interference suppression second domain; Weight distribution according to the multi-dimensional interference suppression evaluation index to build an anti-interference quality analysis model; Anti-interference quality calculation of the interference suppression second domain according to the anti-interference quality analysis model to obtain an anti-interference quality distribution; Anti-interference quality optimization of the interference suppression second domain according to an anti-interference quality constraint based on the anti-interference quality distribution to build an interference suppression third domain; According to the communication interference suppression evaluation model and the anti-interference quality analysis model, the interference suppression third domain is bred and expanded for optimization, and the first interference suppression strategy is obtained. According to the communication interference suppression evaluation model and the second interference detection atlas, the HPLC communication module is subjected to interference suppression breeding optimization to obtain a second interference suppression strategy, including: According to the second interference detection atlas, the HPLC communication module is subjected to interference suppression decision to obtain an interference suppression fifth domain; Based on the multi-dimensional interference suppression evaluation constraint, the communication interference suppression evaluation model is used to perform interference suppression evaluation optimization on the interference suppression fifth domain to obtain an interference suppression sixth domain; Based on the anti-interference quality constraint, the anti-interference quality analysis model is used to perform anti-interference quality optimization on the interference suppression sixth domain to obtain an interference suppression seventh domain; According to the communication interference suppression evaluation model and the anti-interference quality analysis model, the interference suppression seventh domain is bred and expanded for optimization, and the second interference suppression strategy is obtained.

2. The interference mitigation method for low power HRF+HPLC dual mode chip as claimed in claim 1 wherein, According to the same frequency interference event set, same frequency interference tracing learning is performed to establish a same frequency interference tracing channel, including: An interference tracing architecture is constructed, and the interference tracing architecture includes top layer interference features, intermediate interference features and basic interference features; According to the interference tracing architecture, the same frequency interference event set is subjected to same frequency interference source tracing to obtain a plurality of same frequency interference source paths; According to the plurality of same frequency interference source paths, Boolean logic association optimization is performed to obtain a same frequency interference source model; Based on Markov chain, the same frequency interference source model is subjected to reinforcement learning to generate the same frequency interference tracing channel.

3. The interference mitigation method for low power HRF+HPLC dual mode chip as claimed in claim 1 wherein, According to the multi-dimensional interference tracing channel, interference detection is performed on the dual-mode monitoring set, including: The first communication monitoring set is input into the same frequency interference tracing channel to obtain a first same frequency interference tracing result; The first communication monitoring set is input into the adjacent frequency interference tracing channel to obtain a first adjacent frequency interference tracing result; The first communication monitoring set is input into the intermodulation interference tracing channel to obtain a first intermodulation interference tracing result; The first communication monitoring set is input into the environmental interference tracing channel to obtain a first environmental interference tracing result; The first same frequency interference tracing result, the first adjacent frequency interference tracing result, the first intermodulation interference tracing result and the first environmental interference tracing result are combed to generate the first interference detection atlas.

4. The interference rejection method for low power HRF+HPLC dual mode chip as claimed in claim 1, wherein, According to the communication interference suppression evaluation model and the anti-interference quality analysis model, the interference suppression third domain is bred and expanded for optimization, and the first interference suppression strategy is obtained, including: The interference suppression third domain is subjected to scheme breeding to obtain an interference suppression first breeding domain; Based on the multi-dimensional interference suppression evaluation constraint, the communication interference suppression evaluation model is used to perform interference suppression evaluation optimization on the interference suppression first breeding domain to establish an interference suppression second breeding domain; Based on the anti-interference quality constraint, the anti-interference quality analysis model is used to perform anti-interference quality optimization on the interference suppression second breeding domain to obtain an interference suppression third breeding domain; According to the interference suppression third propagation domain, the interference suppression third domain is expanded to generate an interference suppression fourth domain, and interference suppression quality maximization optimization is performed based on the interference suppression fourth domain to obtain the first interference suppression strategy.

5. The interference mitigation method for low power HRF+HPLC dual mode chip as claimed in claim 1, wherein, Real-time monitoring is performed on the dual-mode chip communication system to obtain a dual-mode monitoring set, including: HRF communication monitoring data and HPLC communication monitoring data are obtained. Data cleaning is performed on the HRF communication monitoring data to obtain a first communication monitoring set. Data cleaning is performed on the HPLC communication monitoring data to obtain a second communication monitoring set, and the dual-mode monitoring set is generated in combination with the first communication monitoring set.

6. The interference mitigation method for low power HRF+HPLC dual mode chip as claimed in claim 1, wherein, According to the first interference detection atlas, an HRF interference early warning signal is generated.

7. The interference mitigation method for low power HRF+HPLC dual mode chip as claimed in claim 1 wherein, According to the second interference detection atlas, an HPLC interference early warning signal is generated.

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