An anti-electromagnetic interference method, system, device and medium for wireless communication planning under complex terrain

Abstract

The application relates to the technical field of wireless communication, and discloses an anti-electromagnetic interference method, system, device and medium for wireless communication planning under complex terrain, which comprises the following steps: collecting anti-interference characteristic information of a target communication link; calculating anti-interference characteristic representation values based on the anti-interference characteristic information; determining whether strong electromagnetic interference exists in the target communication link based on the anti-interference characteristic representation values; collecting communication environment characteristic information of a target communication frequency band in response to the target communication link not having strong electromagnetic interference; calculating communication environment characteristic representation values based on the communication environment characteristic information; determining whether complex terrain interference is the root cause of communication quality decline based on the communication environment characteristic representation values; calculating the difference between the communication environment characteristic representation values and a predetermined communication environment characteristic representation threshold value in response to complex terrain interference; and determining the cause of the decline in communication quality and the corresponding processing strategy based on the difference. The application improves the analysis accuracy of a wireless communication system.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and in particular to an anti-electromagnetic interference method, system, device and medium for wireless communication planning in complex terrain. Background Technology

[0002] In wireless communication scenarios with complex terrains such as mountainous areas and urban canyons, traditional anti-interference technologies have significant limitations. Traditional methods typically rely on a single indicator to determine interference and directly trigger standard responses such as frequency band switching or power increases. However, in complex terrain, environmental factors such as multipath effects and terrain obstruction can severely impact these indicators, causing the system to misinterpret terrain-induced signal attenuation as electromagnetic interference. This leads to frequent and unnecessary frequency band switching, wasting communication resources and potentially further deteriorating communication quality due to incorrect measures, severely affecting communication reliability in critical scenarios such as emergency communications and field operations.

[0003] Existing technologies disclose Wi-Fi communication systems and methods resistant to electromagnetic interference, including: when a Wi-Fi communication entity is in a state where electromagnetic interference exists but its intensity is below a set threshold, and a corresponding DTIM flag appears in the beacon packet sent by the Wi-Fi communication peer, it periodically sends PS-POLL packets to the Wi-Fi communication peer; it detects whether electromagnetic interference exists in a set area, and if electromagnetic interference exists, it senses the intensity of the electromagnetic interference; the Wi-Fi communication peer receives data sent by each Wi-Fi communication entity and, upon receiving the data, feeds back information to the corresponding Wi-Fi communication entity. This invention dynamically switches communication strategies according to the interference state, balancing communication reliability and energy saving; it is based on existing Wi-Fi protocol extensions, such as PS-POLL and DTIM mechanisms, without requiring modification of the underlying protocol; it can still maintain Wi-Fi communication when strong interference sources such as microwave ovens are operating; and it is suitable for scenarios susceptible to electromagnetic interference, such as smart homes and IoT devices.

[0004] It is evident that existing technologies do not consider the problem that communication systems in complex terrain wireless communication scenarios are unable to effectively distinguish between electromagnetic interference and terrain interference, leading to inaccurate anti-interference response, deterioration of communication quality, and weak adaptive capabilities in emergency events. Summary of the Invention

[0005] Therefore, the present invention provides an anti-electromagnetic interference method, system, device and medium for wireless communication planning in complex terrain, to overcome the problem that the prior art does not consider the scenario of wireless communication in complex terrain, in which the communication system cannot effectively distinguish between electromagnetic interference and terrain interference, resulting in inaccurate anti-interference response, deterioration of communication quality, and weak adaptive capability of the communication system in emergency events.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides an electromagnetic interference mitigation method for wireless communication planning in complex terrain, comprising: Collect anti-interference characterization information of the target communication link, calculate anti-interference characteristic characterization value based on the anti-interference characterization information, and determine whether there is strong electromagnetic interference in the target communication link based on the anti-interference characteristic characterization value; In response to the determination that there is no strong electromagnetic interference in the target communication link, the communication environment characterization information of the target communication frequency band is collected, the communication environment characteristic characterization value is calculated based on the communication environment characterization information, and the root cause of the communication quality degradation is determined based on the communication environment characteristic characterization value. In response to the determination that the root cause of the communication quality degradation is complex terrain interference, the difference between the communication environment feature characterization value and the predetermined communication environment feature characterization threshold is calculated. Based on the difference, the cause of the communication quality degradation and the corresponding processing strategy are determined. The processing strategy includes determining the weighting factor of the bit error rate, determining the adjustment range of the detection sensitivity of the received signal strength indication, and determining the adjustment range of the predetermined anti-interference feature characterization threshold and the predetermined communication environment feature characterization threshold.

[0007] As a preferred embodiment of the electromagnetic interference mitigation method for wireless communication planning in complex terrain described in this invention, the step of calculating anti-interference feature values ​​based on the anti-interference characterization information and determining whether strong electromagnetic interference exists in the target communication link based on the anti-interference feature characterization values ​​includes: Extract the bit error rate and received signal strength indication of the target communication link within the historical period; The first anti-interference factor is determined by calculating the ratio of the bit error rate in a single cycle to a predetermined bit error rate threshold. The second anti-interference factor is determined by calculating the ratio of a predetermined received signal strength indication threshold for a single cycle to the received signal strength indication. The sum of the first anti-interference factor and the second anti-interference factor is determined as the anti-interference feature characterization value; If the anti-interference feature value is less than or equal to the predetermined anti-interference feature threshold, it is determined that there is strong electromagnetic interference in the target communication link. If the anti-interference feature value is greater than the predetermined anti-interference feature threshold, it is determined that the target communication link does not have strong electromagnetic interference.

[0008] As a preferred embodiment of the electromagnetic interference mitigation method for wireless communication planning in complex terrain as described in this invention, the step of calculating communication environment characteristic values ​​based on the communication environment characterization information, and determining whether the root cause of communication quality degradation is complex terrain interference based on the communication environment characteristic values, includes: Extract the carrier interference ratio and adjacent channel leakage ratio of the target communication frequency band within the historical period; The first communication environment factor is determined by calculating the ratio of a predetermined carrier interference ratio threshold to the carrier interference ratio. The second communication environment factor is determined by calculating the ratio of a predetermined adjacent channel leakage ratio threshold to the adjacent channel leakage ratio. The sum of the first communication environment factor and the second communication environment factor is determined as the communication environment characteristic value; If the communication environment feature characterization value is less than or equal to the predetermined communication environment feature characterization threshold, it is determined to be non-complex terrain interference; If the communication environment feature characterization value is greater than the predetermined communication environment feature characterization threshold, it is determined to be complex terrain interference.

[0009] As a preferred embodiment of the electromagnetic interference mitigation method for wireless communication planning in complex terrain described in this invention, the determination of the causes of communication quality degradation includes: Calculate the difference between the communication environment feature characterization value and the predetermined communication environment feature characterization threshold; If the difference is less than or equal to a predetermined first difference threshold, it is determined to be a first cause label; If the difference is greater than a predetermined first difference threshold and less than or equal to a predetermined second difference threshold, it is determined to be a second cause label; If the difference is greater than a predetermined second difference threshold, it is determined to be a third cause label.

[0010] As a preferred embodiment of the electromagnetic interference mitigation method for wireless communication planning in complex terrain described in this invention, the determination of the processing strategy includes: If it is the primary cause label, then the primary processing strategy needs to be executed; If it is a second reason label, then the second processing strategy needs to be executed; If it is a third-cause label, then a third processing strategy needs to be executed.

[0011] As a preferred embodiment of the anti-electromagnetic interference method for wireless communication planning in complex terrain as described in this invention, the anti-interference characterization information includes bit error rate and received signal strength indication, and the communication environment characterization information includes carrier interference ratio and adjacent channel leakage ratio.

[0012] As a preferred embodiment of the electromagnetic interference mitigation method for wireless communication planning in complex terrain described in this invention, it further includes: The bit error rate is collected by using an error correction decoder to collect the ratio of the number of erroneous symbols to the total number of transmitted symbols during the data transmission process of the target communication link in a historical period. The carrier-to-interference ratio is collected by using an RF receiver and an A / D converter to collect the ratio of the useful signal power to the interference signal power in the received signal of the target communication frequency band within a historical period. The adjacent channel leakage ratio is collected by using a digital filter and a spectrum analyzer to obtain the ratio between the useful signal power transmitted within the target channel bandwidth during the historical period and the useless signal power transmitted on adjacent channels.

[0013] Secondly, the present invention provides an electromagnetic interference mitigation system for wireless communication planning in complex terrain, comprising: The first determination module is used to collect anti-interference characterization information of the target communication link, calculate anti-interference feature characterization value based on the anti-interference characterization information, and determine whether there is strong electromagnetic interference in the target communication link based on the anti-interference feature characterization value. The second determination module is used to collect communication environment characterization information of the target communication frequency band in response to the determination that there is no strong electromagnetic interference in the target communication link, calculate the communication environment characteristic characterization value based on the communication environment characterization information, and determine whether the root cause of the communication quality degradation is complex terrain interference based on the communication environment characteristic characterization value. The calculation module is used to calculate the difference between the communication environment feature characterization value and a predetermined communication environment feature characterization threshold in response to the determination that the root cause of the communication quality degradation is complex terrain interference. The processing strategy determination module is used to determine the cause of the communication quality degradation and the corresponding processing strategy based on the difference. The processing strategy includes determining the weighting ratio of the bit error rate, determining the adjustment range of the detection sensitivity of the received signal strength indication, and determining the adjustment range of the predetermined anti-interference feature characterization threshold and the predetermined communication environment feature characterization threshold.

[0014] Thirdly, the present invention provides an electronic device, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor, when executing the computer-executable instructions, implements the steps of an anti-electromagnetic interference method for wireless communication planning in complex terrain.

[0015] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of an electromagnetic interference-resistant method for wireless communication planning in complex terrain.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention achieves rapid screening of strong electromagnetic interference in communication links by establishing a primary diagnostic layer composed of bit error rate and received signal strength indication. Especially when strong electromagnetic interference is initially determined to be absent, carrier-to-interference ratio (CRI) and adjacent channel leakage ratio (ALR) are further introduced as environmental perception layer parameters, forming a two-level progressive judgment mechanism. This enables the wireless communication system to finely distinguish interference sources that are difficult to identify using traditional methods, reducing misjudgments caused by terrain factors and improving the accuracy of interference identification. The layered analysis method gives the communication system stronger analytical capabilities when facing complex scenarios.

[0017] This invention establishes a standardized decision-making process by quantifying two types of representational information into feature representation values ​​and setting corresponding thresholds for comparison. Each feature representation value is synthesized by calculating the ratio of two key parameters, normalizing the original data of different dimensions to a comparable range, enhancing the system's ability to fuse and process multi-source heterogeneous information, reducing reliance on human experience, and enabling wireless communication systems to make objective judgments on different types of interference within a unified framework.

[0018] This invention distinguishes interference causes of varying complexity by defining a difference threshold range, and triggers differentiated processing strategies accordingly, achieving precise matching of countermeasures. The wireless communication system dynamically adjusts the bit error rate weighting coefficient, received signal strength detection sensitivity, and two-level judgment thresholds based on different cause labels. This parameter linkage adjustment mechanism ensures a high degree of adaptability between the countermeasures and the actual situation. Compared with traditional methods using fixed parameters, this approach can adjust the system response strength according to the interference level, ensuring rapid response when necessary while preventing resource consumption caused by over-response.

[0019] This invention forms a complete closed loop from problem diagnosis to strategy execution by directly linking processing strategies to core system monitoring parameters. Adjusting the bit error rate weight directly optimizes the system's sensitivity to data reliability, while adjusting the received signal strength detection sensitivity improves the ability to capture changes in signal quality. Furthermore, the dynamic adjustment of the two-level thresholds fundamentally reconstructs the system's judgment criteria. These parameter adjustments work synergistically to enable the system to maintain stable communication performance in the face of complex interference, while keeping computational resource overhead low, thus providing a solid guarantee for reliable communication in complex terrain. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the overall process logic of an anti-electromagnetic interference method for wireless communication planning in complex terrain, provided as an embodiment of the present invention.

[0022] Figure 2 This is a logic diagram for determining whether strong electromagnetic interference exists in the target communication link in an anti-electromagnetic interference method for wireless communication planning in complex terrain, provided as an embodiment of the present invention.

[0023] Figure 3 This invention provides a logical decision diagram for determining whether the root cause of communication quality degradation is interference from complex terrain in an anti-electromagnetic interference method for wireless communication planning in complex terrain, as provided in one embodiment of the invention.

[0024] Figure 4 This is a logic diagram illustrating the determination of the causes of communication quality degradation and the corresponding processing strategies in an anti-electromagnetic interference method for wireless communication planning in complex terrain, provided as an embodiment of the present invention. Detailed Implementation

[0025] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0026] Example 1, referring to Figure 1 As one embodiment of the present invention, an anti-electromagnetic interference method for wireless communication planning in complex terrain is provided, such as... Figure 1 The specific steps shown are as follows: S100: Collect anti-interference characterization information of the target communication link, calculate anti-interference characteristic characterization value based on the anti-interference characterization information, and determine whether there is strong electromagnetic interference in the target communication link based on the anti-interference characteristic characterization value; S200: In response to determining that there is no strong electromagnetic interference in the target communication link, it collects communication environment characterization information of the target communication frequency band, calculates communication environment characteristic characterization value based on the communication environment characterization information, and determines whether the root cause of the communication quality degradation is complex terrain interference based on the communication environment characteristic characterization value. S300: In response to the determination that the root cause of the communication quality degradation is complex terrain interference, calculate the difference between the communication environment feature characterization value and the predetermined communication environment feature characterization threshold. S400: Based on the difference, determine the cause of the communication quality degradation and the corresponding processing strategy. The processing strategy includes determining the weighting factor of the bit error rate, determining the adjustment range of the detection sensitivity of the received signal strength indication, and determining the adjustment range of the predetermined anti-interference feature characterization threshold and the predetermined communication environment feature characterization threshold.

[0027] It should be noted that this invention effectively solves the problem of inaccurate response caused by the difficulty in distinguishing between electromagnetic interference and terrain interference in wireless communication systems under complex terrain by constructing a two-level progressive interference diagnosis framework. First, it uses bit error rate and received signal strength indication to calculate anti-interference characteristic values, quickly screening for strong electromagnetic interference and avoiding inadvertently entering the environmental analysis process when significant electromagnetic interference is present. After initially eliminating electromagnetic interference, it further introduces carrier interference ratio and adjacent channel leakage ratio to calculate communication environment characteristic values, accurately identifying whether the communication quality degradation originates from complex terrain interference. This hierarchical mechanism significantly improves the accuracy of interference source identification and reduces misjudgments caused by multipath effects or terrain obstruction. Second, it dynamically sets various judgment thresholds and graded difference thresholds based on historical data, making the judgment benchmark adaptable to the actual operating environment and enhancing the robustness and objectivity of the system in different scenarios. For confirmed interference from complex terrain, three causal levels are identified based on the deviation of communication environment characteristic values ​​from thresholds, and differentiated processing strategies are applied to each level: For mild cases, the bit error rate weight is increased to enhance link quality sensitivity; for moderate cases, the adjacent channel leakage ratio is introduced to assist in correcting the received signal strength indication benchmark, avoiding misjudging terrain attenuation as electromagnetic interference; for severe cases, the two-level judgment thresholds are temporarily relaxed, and a gradual parameter callback mechanism is adopted to automatically restore normal operation after the interference subsides. This forms a complete closed loop from problem diagnosis to strategy execution. The linked parameter adjustment ensures rapid response when necessary while preventing excessive resource consumption, significantly improving the analysis accuracy, adaptability, and communication reliability of wireless communication systems in complex terrain.

[0028] Example 2, refer to Figures 2-4 This embodiment provides a specific implementation of an anti-electromagnetic interference method for wireless communication planning in complex terrain, and illustrates the technical means of this method.

[0029] S100: Collect anti-interference characterization information of the target communication link, calculate anti-interference characteristic characterization value based on the anti-interference characterization information, and determine whether there is strong electromagnetic interference in the target communication link based on the anti-interference characteristic characterization value; In this embodiment of the invention, the anti-interference characterization information includes bit error rate and received signal strength indication; Specifically, the bit error rate (BER) reflects the ratio of the number of erroneous bits transmitted during data transmission within a historical period to the total number of transmitted bits. It is an indicator used to measure the accuracy of data transmission within a specified time. It is collected by an error correction decoder in the target communication link, and the calculation formula is: BER = (Number of erroneous bits transmitted / Total number of transmitted bits) * 100%. In digital communication systems, a lower BER indicates higher transmission quality and stronger reliability.

[0030] Specifically, the received signal strength indicator refers to the signal strength received by the wireless device. It is collected by the radio frequency receiving front-end and A / D conversion unit inside the wireless communication module. The calculation method involves averaging the power of received signal samples over a historical period and converting it to logarithmic form, with the unit being dBm. A lower received signal strength indicates a weaker signal and greater interference.

[0031] In this embodiment of the invention, calculating the anti-interference feature characterization value based on anti-interference characterization information includes: Extract the bit error rate and received signal strength indication of the target communication link within the historical period; The first anti-interference factor is determined by calculating the ratio of the bit error rate in a single cycle to a predetermined bit error rate threshold. The second anti-interference factor is determined by calculating the ratio of a predetermined received signal strength indication threshold to the received signal strength indication for a single cycle; The sum of the first anti-interference factor and the second anti-interference factor is determined as the anti-interference characteristic value.

[0032] Specifically, the single cycle is preset, and in this embodiment, the single cycle is preferably 1 hour.

[0033] Specifically, the predetermined bit error rate threshold is set in advance, which involves pre-determining bit error rate samples over 12 historical periods (i.e., 12 hours), and determining the predetermined bit error rate threshold based on the average value of the bit error rate samples.

[0034] Specifically, the predetermined received signal strength indication threshold is preset, wherein received signal strength indication samples for 12 historical periods, i.e. 12 hours, are predetermined, and the predetermined received signal strength indication threshold is determined based on the average value of the received signal strength indication samples.

[0035] It should be noted that this embodiment establishes dynamic thresholds based on historical data for each monitoring parameter, thus eliminating reliance on fixed empirical values ​​and improving the system's adaptability to different operating environments and equipment states. By calculating the ratios of the bit error rate and received signal strength indication to their respective personalized thresholds, and then weighting and summing the results into a single anti-interference feature value, effective fusion and dimensionality reduction of multi-source heterogeneous monitoring data are achieved. This simplifies the subsequent interference judgment process, makes the decision-making basis clearer, reduces the possibility of misjudgment due to short-term fluctuations, and enhances long-term operational stability.

[0036] Please see Figure 2 The diagram shown is a logic diagram for determining whether a target communication link has strong electromagnetic interference based on anti-interference feature characterization values ​​according to an embodiment of the present invention. The process of determining whether a target communication link has strong electromagnetic interference based on anti-interference feature characterization values ​​according to an embodiment of the present invention includes: If the anti-interference characteristic value is less than or equal to the predetermined anti-interference characteristic threshold, it is determined that there is strong electromagnetic interference in the target communication link. If the anti-interference characteristic value is greater than the predetermined anti-interference characteristic threshold, it is determined that there is no strong electromagnetic interference in the target communication link.

[0037] Specifically, the predetermined anti-interference feature characterization threshold is preset. The average value of the anti-interference feature characterization values ​​over 24 historical periods (i.e., 24 hours) is predetermined. The predetermined anti-interference feature characterization threshold is determined based on the product of the average value and the deviation coefficient. The deviation coefficient is selected within the range of [0.68, 1.34]. In this embodiment, the preferred deviation coefficient is 1.28.

[0038] It should be noted that this embodiment uses a combination of historical statistical averages and controllable deviation coefficients to determine the judgment threshold, making the system's judgment process more stable and predictable. Compared to directly using a fixed value as the threshold, linking the judgment standard to the system's own historical operating data allows the judgment benchmark to dynamically reflect the long-term state level of the communication link, providing an individualized reference for anomaly detection. Selecting the average value of 24 periods balances statistical representativeness with responsiveness to recent changes. By setting a deviation coefficient range and selecting an optimal value within that range, technicians are given leeway to adjust the judgment stringency according to specific scenarios. This allows the system to remain stable under normal conditions while simultaneously increasing its sensitivity to potential interference when necessary, thereby optimizing the overall continuity of communication.

[0039] S200: In response to determining that there is no strong electromagnetic interference in the target communication link, it collects communication environment characterization information of the target communication frequency band, calculates communication environment characteristic characterization value based on the communication environment characterization information, and determines whether the root cause of the communication quality degradation is complex terrain interference based on the communication environment characteristic characterization value. In this embodiment of the invention, the communication environment characterization information includes carrier interference ratio and adjacent channel leakage ratio; Specifically, the carrier-to-interference ratio (CRI) refers to the ratio of the useful signal power to the interference signal power in the received signal over a historical period. It is acquired by an RF receiver and an A / D converter within the target communication frequency band. The calculation formula is the logarithm of the ratio of the signal power measured at a known pilot symbol location (used as the useful signal power) to the power measured in an idle resource cell (used as the interference noise power), expressed in dB. A lower CRI results in poorer communication performance.

[0040] Specifically, the adjacent channel leakage ratio (ADRR) refers to the ratio between the useful signal power transmitted within the target channel bandwidth and the useless signal power transmitted on adjacent channels. It is collected within the target channel bandwidth using digital filters and a spectrum analyzer. The calculation formula is the logarithm of the ratio of the integral value of the signal power within the main channel bandwidth to the integral value of the leaked signal power within the adjacent channel bandwidth, with units of dBc. A higher ADRR indicates less interference and better system performance.

[0041] In this embodiment of the invention, calculating the communication environment feature characterization value based on communication environment characterization information includes: Extract the carrier interference ratio and adjacent channel leakage ratio of the target communication frequency band within the historical period; The first communication environment factor is determined by calculating the ratio of a predetermined carrier interference ratio threshold to the carrier interference ratio. The second communication environment factor is determined by calculating the ratio of a predetermined adjacent channel leakage ratio threshold to the adjacent channel leakage ratio. The sum of the first communication environment factor and the second communication environment factor is determined as the communication environment characteristic value.

[0042] Specifically, the predetermined carrier interference ratio (CIR) threshold is set in advance, wherein 12 CIR samples over 12 hours are predetermined, and the predetermined CIR threshold is determined based on the average value of the CIR samples.

[0043] Specifically, the predetermined adjacent channel leakage ratio threshold is set in advance, wherein 12 adjacent channel leakage ratio samples over 12 periods (i.e., 12 hours) are predetermined, and the predetermined adjacent channel leakage ratio threshold is determined based on the average value of the adjacent channel leakage ratio samples.

[0044] It should be noted that this embodiment improves the accuracy and adaptability of environmental interference assessment by using dynamic thresholds based on historical data to calculate communication environment characteristic values. It compares two key environmental parameters, carrier interference ratio and adjacent channel leakage ratio, with their respective historical average levels, transforming them into standardized communication environment factors. The ratio calculation method eliminates the difference in parameter dimensions, allowing two originally independent indicators to be integrated on the same scale. By integrating them into a single communication environment characteristic value, the subsequent judgment logic for the root causes of interference in complex terrain is simplified, making the decision-making process clearer and more efficient. Determining thresholds based on 12 periods of data provides the system with a stable benchmark reflecting recent environmental changes, helping to reduce misjudgments caused by instantaneous abnormal measurements and enhancing the system's ability to conduct continuous and reliable assessments under different time periods and environmental conditions.

[0045] Please see Figure 3 The diagram shown is a logical determination diagram for determining whether the root cause of communication quality degradation is complex terrain interference based on communication environment characteristic values ​​according to an embodiment of the present invention. The process of determining whether the root cause of communication quality degradation is complex terrain interference based on communication environment characteristic values ​​according to an embodiment of the present invention includes: If the communication environment characteristic characterization value is less than or equal to the predetermined communication environment characteristic characterization threshold, it is determined to be non-complex terrain interference; If the communication environment characteristic value is greater than the predetermined communication environment characteristic threshold, it is determined to be complex terrain interference.

[0046] Specifically, the predetermined communication environment characteristic representation threshold is preset. The average value of the communication environment characteristic representation values ​​over 24 historical periods (i.e., 24 hours) is predetermined. The predetermined communication environment characteristic representation threshold is determined based on the product of the average value and the tolerance coefficient. The tolerance coefficient is selected within the range of [0.79, 1.82]. In this embodiment, the preferred tolerance coefficient is 1.64.

[0047] It should be noted that this embodiment distinguishes interference sources and improves decision consistency by constructing an adaptive judgment threshold based on historical statistical data. The judgment threshold is set using the average level of communication environment characteristic values ​​over the past 24 cycles as a benchmark, combined with an adjustable tolerance coefficient, ensuring that the judgment standard is adapted to the actual electromagnetic environment in which the system operates. Setting the tolerance coefficient to an adjustable range and selecting a higher preferred value provides a controllable fault-tolerance mechanism for the system, reducing the probability of misjudging interference caused by transient or localized channel quality fluctuations as complex terrain interference. This ensures that the system maintains stable judgment in most normal environments, while reliably identifying interference patterns caused by complex terrain when parameters are abnormal. This achieves standardization and refinement of interference source identification, supporting more accurate matching of subsequent processing strategies.

[0048] S300: In response to the determination that the root cause of the communication quality degradation is complex terrain interference, calculate the difference between the communication environment feature characterization value and the predetermined communication environment feature characterization threshold. S400: Based on the difference, determine the cause of the communication quality degradation and the corresponding processing strategy. The processing strategy includes determining the weighting rate of the bit error rate, determining the adjustment range of the detection sensitivity of the received signal strength indication, and determining the adjustment range of the predetermined anti-interference feature characterization threshold and the predetermined communication environment feature characterization threshold. Please see Figure 4 The diagram shown illustrates the logic decision-making process of determining the cause of communication quality degradation and its corresponding processing strategy based on the difference in an embodiment of the present invention. The process of determining the cause of communication quality degradation in this embodiment includes: Calculate the difference between the communication environment feature characterization value and the predetermined communication environment feature characterization threshold; If the difference is less than or equal to a predetermined first difference threshold, it is determined to be the first cause label; If the difference is greater than a predetermined first difference threshold and less than or equal to a predetermined second difference threshold, it is determined to be the second cause label; If the difference is greater than the predetermined second difference threshold, it is determined to be the third cause label.

[0049] Specifically, the predetermined first difference threshold is preset, wherein the average value of the difference between the communication environment characteristic characterization value and the predetermined communication environment characteristic characterization threshold is predetermined over 24 historical periods, i.e., within 24 hours. The predetermined first difference threshold is determined based on the product of the average value and the first offset coefficient. The first offset coefficient is selected in the range of [0.68, 2.32]. In this embodiment, the preferred first offset coefficient is 1.88.

[0050] Specifically, the predetermined second difference threshold is preset, wherein the average value of the difference between the communication environment characteristic characterization value and the predetermined communication environment characteristic characterization threshold is predetermined over 24 historical periods, i.e., within 24 hours. The predetermined second difference threshold is determined based on the product of the average value and the second offset coefficient. The second offset coefficient is selected in the range of [2.44, 4.34]. In this embodiment, the preferred second offset coefficient is 3.45.

[0051] Understandably, the primary cause is labeled as slight multipath interference.

[0052] Understandably, the second reason is misjudgment of signal attenuation caused by terrain obstruction.

[0053] Understandably, the third reason is the coupling interference between complex terrain and electromagnetic environment.

[0054] It should be noted that this embodiment of the invention uses a tiered threshold to distinguish different degrees of interference causes, achieving refined interference classification and precise countermeasures. Based on the quantitative difference between the communication environment characteristic value and the communication environment characteristic threshold, complex terrain interference is divided into three different levels of cause categories through two dynamically set boundary points. Both the first and second difference thresholds are derived from the statistical average of historical data and are adjusted using different offset coefficients, ensuring that the classification criteria reflect the statistical regularity of environmental changes while possessing scene adaptability. By mapping abstract interference phenomena to specific cause labels, a clear decision-making basis is provided for subsequently selecting appropriate processing strategies. The tiered mechanism enables the system to implement a progressive response, from parameter fine-tuning to strategy reconstruction, based on the severity and characteristics of the interference, thereby improving controllability in dealing with complex interference.

[0055] In this embodiment of the invention, the process of determining the cause of communication quality degradation and the corresponding processing strategy includes: If it is the primary cause label, then the primary processing strategy needs to be executed; If it is a second reason label, then the second processing strategy needs to be executed; If it is a third-cause label, then a third processing strategy needs to be executed.

[0056] Understandably, the first processing strategy is to determine the weighting factor of the first anti-interference factor by increasing the ratio.

[0057] Specifically, the weight increase factor of the first anti-interference factor is preset. In this embodiment, the preferred weight increase factor is 1.5, that is, the anti-interference feature characterization value = 1.5 * first anti-interference factor + second anti-interference factor.

[0058] Understandably, by implementing the first processing strategy, greater attention can be paid to subtle data errors caused by multipath effects, guiding the system to improve its sensitivity to the quality of the data link layer, thereby adjusting the transmission strategy more promptly.

[0059] Understandably, the second processing strategy is to construct a baseline model for the received signal strength indication based on the adjacent channel leakage ratio, determine the adjustment range of the detection sensitivity of the received signal strength indication, and avoid misjudging terrain attenuation as electromagnetic interference.

[0060] Specifically, the increase in the detection sensitivity of the received signal strength indicator is preset, and the preferred increase in this embodiment is 30%.

[0061] Understandably, by implementing the second processing strategy, environmental channel quality can be introduced as a correction factor during the detection of received signal strength indication, enabling the system to better distinguish whether the signal strength decline is due to real electromagnetic interference or inherent attenuation caused by complex terrain, thereby reducing false alarms.

[0062] Understandably, the third processing strategy is to determine the adjustment range of the predetermined anti-interference characteristic characterization threshold and the predetermined communication environment characteristic characterization threshold based on the current measurement value within 3 cycles, i.e. 3 hours. At the end of a single cycle, based on the recovery of communication quality, the adjusted parameter weighting coefficients and detection sensitivity are gradually adjusted back by 5% until they are restored to the initial set value or the communication quality is stable.

[0063] Understandably, by implementing the third processing strategy, a systematic and gradual response to complex disturbances can be achieved. When the disturbance is severe, the judgment criteria are temporarily relaxed to create recovery space for the system; when the situation improves, the parameters are gradually adjusted back to restore the system to normal operation, thus realizing the system's resilience under extreme disturbances and its recovery after the disturbances subside.

[0064] It should be noted that, by implementing the above-mentioned differentiated strategies for different levels of interference, the embodiments of the present invention realize a multi-level response system from local parameter fine-tuning to global threshold adjustment, and from static response to dynamic adaptation. By matching the strength of the countermeasures with the complexity of the interference causes, it ensures both response efficiency in mild interference scenarios and processing depth in severe complex interference scenarios, thereby optimizing the anti-interference performance and operating efficiency of wireless communication systems in complex terrain environments as a whole.

[0065] In this embodiment of the invention, the bit error rate is collected by using an error correction decoder to collect the ratio of the number of erroneous symbols in the target communication link during data transmission in a historical period to the total number of transmitted symbols. Understandably, during data reception, the decoder unit built into the receiver's baseband processor demodulates and decodes the received data blocks. The decoder not only corrects a certain number of transmission errors but also records the number of erroneous blocks it cannot correct or the number of erroneous symbols identified during decoding. The system calculates the bit error rate for a single cycle by statistically analyzing the cumulative number of erroneous symbols within a single cycle against the total number of received symbols, using a proportional formula.

[0066] It should be noted that the embodiments of the present invention obtain the bit error rate by directly utilizing the existing decoding unit hardware resources of the communication equipment, avoiding the need to add additional dedicated testing equipment, reducing system complexity. By utilizing the error detection and correction mechanisms inherent within the communication link, the byproducts of the decoding process are transformed into key performance indicators, achieving low-overhead, in-situ real-time monitoring of communication quality, and providing a reliable source of basic data for subsequent interference analysis.

[0067] In this embodiment of the invention, the carrier-to-interference ratio is collected by using an RF receiver and an A / D converter to collect the ratio of useful signal power to interference signal power in the signals received in the target communication frequency band during a historical period. Understandably, when processing signals, an RF receiver periodically transmits or receives known pilot symbols or reference signals. The receiver measures the power level at the time-frequency position of the known symbols, which can be used as a statistical measure of the useful signal power. Simultaneously, the system measures the received power on specific idle resource units without allocated data or pilot signals. This power primarily originates from co-channel interference, adjacent-channel leakage, and noise, and can be used to calculate the interference plus noise power; the ratio of these two is the carrier-to-interference ratio (CTR). The entire acquisition process involves signal down-conversion and sampling by the RF front-end, and power calculation and ratio calculation by a dedicated channel estimation and measurement module in the baseband processor.

[0068] It should be noted that the embodiments of the present invention measure the carrier-to-interference ratio by reusing the existing pilot structure and resource unit design in the communication protocol. Channel quality assessment can be performed synchronously without interrupting service communication. The acquisition of channel state information is embedded into the conventional communication process, and interference observation is performed using idle resources. This achieves seamless and continuous detection of the communication environment, providing key environmental perception data for accurately judging external interference and its own signal quality.

[0069] In this embodiment of the invention, the adjacent channel leakage ratio is collected by using a digital filter and a spectrum analyzer to collect the ratio between the useful signal power transmitted within the target channel bandwidth during the historical period and the useless signal power transmitted on adjacent channels.

[0070] Understandably, measurements are typically performed at the transmitting end via self-monitoring, or at the network side by the base station measuring the signal transmitted by the terminal. The transmitted signal under test is first received and digitized. Subsequently, the signal spectrum is separated by a set of digital filters: one bandpass filter precisely matches the main channel bandwidth to extract the useful signal, while another bandpass filter matches a specified adjacent channel bandwidth to extract the power leaked to that channel. The power of each filtered signal is integrated, and the logarithm of the ratio of the two is calculated to obtain the adjacent channel leakage ratio.

[0071] It should be noted that the embodiments of the present invention use digital spectrum analysis and filtering technology to measure the leakage ratio of adjacent channels, which can accurately quantify the spectral purity of the transmitted signal and clearly distinguish between the power of the main channel and the spurious power leaked to the adjacent channel. The measurement results provide a direct basis for evaluating the transmitter performance and determining whether there is self-interference caused by factors such as transmitter nonlinearity. The parameters help the system diagnose the cause of interference from the signal source and improve the dimensions of interference analysis.

[0072] Example 3: This example provides an electromagnetic interference mitigation system for wireless communication planning in complex terrain, comprising: The first determination module is used to collect anti-interference characterization information of the target communication link, calculate anti-interference characteristic characterization value based on the anti-interference characterization information, and determine whether there is strong electromagnetic interference in the target communication link based on the anti-interference characteristic characterization value. The second determination module is used to collect communication environment characterization information of the target communication frequency band in response to the determination that there is no strong electromagnetic interference in the target communication link, calculate the communication environment characteristic characterization value based on the communication environment characterization information, and determine whether the root cause of the communication quality degradation is complex terrain interference based on the communication environment characteristic characterization value. The calculation module is used to calculate the difference between the communication environment feature characterization value and the predetermined communication environment feature characterization threshold in response to the determination that the root cause of the communication quality degradation is complex terrain interference. The processing strategy determination module is used to determine the cause of communication quality degradation and the corresponding processing strategy based on the difference. The processing strategy includes determining the weighting ratio of the bit error rate, determining the adjustment range of the detection sensitivity of the received signal strength indication, and determining the adjustment range of the predetermined anti-interference feature characterization threshold and the predetermined communication environment feature characterization threshold.

[0073] It should be noted that the technical solution of the anti-electromagnetic interference system for wireless communication planning in complex terrain is based on the same concept as the technical solution of the anti-electromagnetic interference method for wireless communication planning in complex terrain described above. For details not described in detail in the technical solution of the anti-electromagnetic interference system for wireless communication planning in complex terrain described above, please refer to the description of the technical solution of the anti-electromagnetic interference method for wireless communication planning in complex terrain described above.

[0074] The above-mentioned unit modules can be embedded in the processor of the electronic device in hardware form or independent of it, or they can be stored in the memory of the electronic device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0075] This embodiment also provides an electronic device, which includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface is used for wired or wireless communication with external terminals. Wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements an electromagnetic interference-resistant method for wireless communication planning in complex terrain. The display screen can be a liquid crystal display (LCD) or an e-ink display. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device's casing, or an external keyboard, touchpad, or mouse.

[0076] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method proposed in the above embodiments.

[0077] The storage medium proposed in this embodiment belongs to the same inventive concept as the method proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0078] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory, random access memory, flash memory, hard disk, or optical disk, and includes several instructions to cause an electronic device (which may be a personal computer, server, or network device, etc.) to execute the method of the embodiments of the present invention.

[0079] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the present invention.

Claims

1. A method for resisting electromagnetic interference in wireless communication planning under complex terrain, characterized in that, include: Collect anti-interference characterization information of the target communication link, calculate anti-interference characteristic characterization value based on the anti-interference characterization information, and determine whether there is strong electromagnetic interference in the target communication link based on the anti-interference characteristic characterization value; In response to the determination that there is no strong electromagnetic interference in the target communication link, the communication environment characterization information of the target communication frequency band is collected, the communication environment characteristic characterization value is calculated based on the communication environment characterization information, and the root cause of the communication quality degradation is determined based on the communication environment characteristic characterization value. In response to the determination that the root cause of the communication quality degradation is complex terrain interference, the difference between the communication environment feature characterization value and the predetermined communication environment feature characterization threshold is calculated. Based on the difference, the cause of the communication quality degradation and the corresponding processing strategy are determined. The processing strategy includes determining the weighting factor of the bit error rate, determining the adjustment range of the detection sensitivity of the received signal strength indication, and determining the adjustment range of the predetermined anti-interference feature characterization threshold and the predetermined communication environment feature characterization threshold.

2. The electromagnetic interference resistance method for wireless communication planning in complex terrain as described in claim 1, characterized in that, The step of calculating anti-interference feature values ​​based on the anti-interference characterization information, and determining whether strong electromagnetic interference exists in the target communication link based on the anti-interference feature characterization values, includes: Extract the bit error rate and received signal strength indication of the target communication link within the historical period; The first anti-interference factor is determined by calculating the ratio of the bit error rate in a single cycle to a predetermined bit error rate threshold. The second anti-interference factor is determined by calculating the ratio of a predetermined received signal strength indication threshold for a single cycle to the received signal strength indication. The sum of the first anti-interference factor and the second anti-interference factor is determined as the anti-interference feature characterization value; If the anti-interference feature value is less than or equal to the predetermined anti-interference feature threshold, it is determined that there is strong electromagnetic interference in the target communication link. If the anti-interference feature value is greater than the predetermined anti-interference feature threshold, it is determined that the target communication link does not have strong electromagnetic interference.

3. The electromagnetic interference resistance method for wireless communication planning in complex terrain as described in claim 2, characterized in that, The step of calculating communication environment feature values ​​based on the communication environment characterization information, and determining whether the root cause of communication quality degradation is complex terrain interference based on the communication environment feature characterization values, includes: Extract the carrier interference ratio and adjacent channel leakage ratio of the target communication frequency band within the historical period; The first communication environment factor is determined by calculating the ratio of a predetermined carrier interference ratio threshold to the carrier interference ratio. The second communication environment factor is determined by calculating the ratio of a predetermined adjacent channel leakage ratio threshold to the adjacent channel leakage ratio. The sum of the first communication environment factor and the second communication environment factor is determined as the communication environment characteristic value; If the communication environment feature characterization value is less than or equal to the predetermined communication environment feature characterization threshold, it is determined to be non-complex terrain interference; If the communication environment feature characterization value is greater than the predetermined communication environment feature characterization threshold, it is determined to be complex terrain interference.

4. The electromagnetic interference resistance method for wireless communication planning in complex terrain as described in claim 3, characterized in that, The reasons for the degradation in communication quality include: Calculate the difference between the communication environment feature characterization value and the predetermined communication environment feature characterization threshold; If the difference is less than or equal to a predetermined first difference threshold, it is determined to be a first cause label; If the difference is greater than a predetermined first difference threshold and less than or equal to a predetermined second difference threshold, it is determined to be a second cause label; If the difference is greater than a predetermined second difference threshold, it is determined to be a third cause label.

5. The electromagnetic interference resistance method for wireless communication planning in complex terrain as described in claim 4, characterized in that, The determination of the processing strategy includes: If it is the primary cause label, then the primary processing strategy needs to be executed; If the label is for the second reason, then the second processing strategy needs to be executed; If it is a third-cause label, then a third processing strategy needs to be executed.

6. The electromagnetic interference resistance method for wireless communication planning in complex terrain as described in claim 1, characterized in that, The anti-interference characterization information includes bit error rate and received signal strength indication, and the communication environment characterization information includes carrier interference ratio and adjacent channel leakage ratio.

7. The electromagnetic interference resistance method for wireless communication planning in complex terrain as described in claim 6, characterized in that, Also includes: The bit error rate is collected by using an error correction decoder to collect the ratio of the number of erroneous symbols to the total number of transmitted symbols during the data transmission process of the target communication link in a historical period. The carrier-to-interference ratio is collected by using an RF receiver and an A / D converter to collect the ratio of the useful signal power to the interference signal power in the received signal of the target communication frequency band within a historical period. The adjacent channel leakage ratio is collected by using a digital filter and a spectrum analyzer to obtain the ratio between the useful signal power transmitted within the target channel bandwidth during the historical period and the useless signal power transmitted on adjacent channels.

8. An electromagnetic interference mitigation system for wireless communication planning in complex terrain, employing the electromagnetic interference mitigation method for wireless communication planning in complex terrain as described in any one of claims 1 to 7, characterized in that, include: The first determination module is used to collect anti-interference characterization information of the target communication link, calculate anti-interference feature characterization value based on the anti-interference characterization information, and determine whether there is strong electromagnetic interference in the target communication link based on the anti-interference feature characterization value. The second determination module is used to collect communication environment characterization information of the target communication frequency band in response to the determination that there is no strong electromagnetic interference in the target communication link, calculate the communication environment characteristic characterization value based on the communication environment characterization information, and determine whether the root cause of the communication quality degradation is complex terrain interference based on the communication environment characteristic characterization value. The calculation module is used to calculate the difference between the communication environment feature characterization value and a predetermined communication environment feature characterization threshold in response to the determination that the root cause of the communication quality degradation is complex terrain interference. The processing strategy determination module is used to determine the cause of the communication quality degradation and the corresponding processing strategy based on the difference. The processing strategy includes determining the weighting ratio of the bit error rate, determining the adjustment range of the detection sensitivity of the received signal strength indication, and determining the adjustment range of the predetermined anti-interference feature characterization threshold and the predetermined communication environment feature characterization threshold.

9. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store computer-executable instructions, and when the processor executes the computer-executable instructions, it implements the steps of the anti-electromagnetic interference method for wireless communication planning in complex terrain as described in any one of claims 1 to 7.

10. A computer-readable storage medium having computer-executable instructions stored thereon, characterized in that: When the computer-executable instructions are executed by the processor, they implement the steps of the electromagnetic interference-resistant method for wireless communication planning in complex terrain as described in any one of claims 1 to 7.

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