A method and product for external interference self-diagnosis

Abstract

This application discloses a method and product for self-diagnosing external interference. The method includes: acquiring the inherent parameters of the frequency-using terminal to calculate the theoretical noise floor; measuring the total received power in real time and calculating the super-noise power accordingly; when the super-noise power exceeds a preset power threshold, acquiring the baseband demodulation quality parameters of the current channel; and performing correlation discrimination based on the super-noise power and baseband demodulation quality parameters. When the super-noise power is high and the demodulation quality is below a preset threshold, it is determined to be external interference; otherwise, it is determined to be a strong useful signal. This application establishes a two-dimensional causal correlation model between physical layer power and baseband layer quality within the terminal, enabling real-time and objective self-diagnosis of external interference from the terminal's own perspective, thus improving the objectivity, timeliness, and accuracy of the diagnosis.

Description

Technical Field

[0001] This application relates to the field of radio communication technology, and in particular to an external interference self-diagnosis method, a frequency-using terminal, a computer program product, and a computer-readable storage medium. Background Technology

[0002] Radio spectrum is a vital strategic and scarce resource for any nation. Radio monitoring and interference investigation are crucial technical means to ensure the normal operation of various radio services and maintain order in the airwaves. Traditional radio interference investigation typically relies on external, independent monitoring facilities, such as fixed monitoring stations, mobile monitoring vehicles, or portable spectrum analyzers. Regulatory authorities only activate these monitoring facilities to conduct investigations when frequency users complain of interference to their communication systems.

[0003] However, this traditional monitoring model based on the perspective of an "outsider" has several inherent technical flaws:

[0004] Objectivity is lacking. External monitoring equipment and the interfered frequency-using terminals differ significantly in receiving sensitivity, antenna pattern, receiving bandwidth, and polarization. This often leads to a contradictory phenomenon: the communication services of the frequency-using terminal have severely deteriorated or even been interrupted, while the external monitoring equipment cannot measure any abnormal signals. This gap between measurement results and the actual experience of interference easily leads to disputes between regulators and frequency users—the so-called "each telling their own story" dilemma—affecting the authority of regulation and the efficiency of investigations.

[0005] The timeliness is severely delayed. Radio interference, especially interference targeting dynamic scenarios such as low-altitude drones, is often characterized by its suddenness and instantaneous nature. The traditional response chain of "user complaint - work order dispatch - personnel deployment - on-site measurement" is too long, usually measured in hours or even days. By the time monitoring personnel arrive on-site, the interference signal may have already disappeared, making it impossible to capture and analyze, thus missing the best opportunity for investigation.

[0006] Weak attribution capability. Degradation in communication quality can be caused by a variety of factors, including actual external radio interference, equipment malfunctions at the frequency-using terminal (such as amplifier self-oscillation or antenna damage), network congestion, or insufficient system capacity. Traditional external monitoring methods can only provide a "spectrum snapshot," measuring physical parameters such as signal frequency and level, but cannot directly determine the causal relationship between the signal and the degradation of service quality at the frequency-using terminal. This makes it difficult for monitoring personnel to accurately identify the root cause of communication problems, resulting in a significant waste of valuable monitoring resources on ineffective troubleshooting of non-interference events.

[0007] In summary, existing interference detection methods, due to their external observation nature, have fundamental shortcomings in objectivity, real-time performance, and attribution accuracy, making it difficult to meet the stringent requirements of modern wireless communication systems, especially in emerging fields such as the low-altitude economy, for frequency security. Therefore, there is an urgent need for a technical solution that can fundamentally change the monitoring paradigm and achieve real-time, objective, and accurate interference identification. Summary of the Invention

[0008] The purpose of this application is to provide an external interference self-diagnosis method, frequency-using terminal, computer program product, and computer-readable storage medium, which solves the technical problems of poor objectivity in interference discrimination, delayed response, and inability to accurately attribute causes caused by reliance on external monitoring equipment in the prior art.

[0009] To achieve the above objectives, this application provides an external interference self-diagnosis method applied to a frequency-using terminal. The method includes: acquiring the inherent parameters of the frequency-using terminal and calculating the theoretical noise floor (P) based on the inherent parameters. th ); Real-time measurement of the total received power (P) of the current channel of the frequency-using terminal. total Based on the total received power (P) total ) and the theoretical noise substrate (P) th The super noise power (P) was calculated. excess ); Determine the over-noise power (P) excess Whether the noise power (P) is greater than the preset power threshold; if the noise power (P) is greater than the preset power threshold; excess If the power is greater than the preset power threshold, then the baseband demodulation quality parameters of the current channel of the frequency-using terminal are obtained; based on the super noise power (P) excess The system uses the baseband demodulation quality parameters to determine the communication status. If the baseband demodulation quality parameters are lower than a preset demodulation threshold, it is determined that there is external interference. If the baseband demodulation quality parameters are not lower than the preset demodulation threshold, it is determined that there is a strong useful signal.

[0010] Another aspect of this application provides an external interference self-diagnosis frequency terminal, comprising: a memory; a processor; and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described above.

[0011] This application also provides a computer program product, including computer instructions that, when executed by a processor, implement the method described above.

[0012] This application also provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method described above.

[0013] The technical solution provided in this application achieves a fundamental shift from "external observation" to "internal perception" by executing diagnostic logic within the frequency-using terminal. It no longer relies on external monitoring equipment but instead utilizes the terminal's own physical layer measurement parameters (total received power) and baseband layer performance parameters (demodulation quality) to establish a two-dimensional causal correlation judgment model. By calculating the excess noise power, it can determine whether external energy exceeding the theoretical noise level enters the receiver; further, by correlating and analyzing whether this energy can be effectively demodulated, it can accurately distinguish whether the energy is a structured "strong useful signal" or a non-cooperative, destructive "external interference."

[0014] The beneficial effects of this application include at least the following: The diagnostic process is entirely based on the "first-person" data of the affected terminal itself, and the judgment result directly reflects the terminal's actual reception experience, providing irrefutable objective evidence for interference identification and fundamentally solving the management dilemma of "each telling their own story" in traditional monitoring. The diagnostic logic runs in real time within the terminal, enabling perception, analysis, and judgment to be completed the instant interference occurs, shortening the interference detection time from the traditional hours to the seconds, improving response speed, and meeting the extreme timeliness requirements of dynamic scenarios such as low-altitude communication. This method can accurately distinguish between external interference and internal problems such as equipment failure and insufficient system capacity from the source, effectively filtering out most invalid interference claims, allowing valuable radio monitoring resources to be accurately invested in the investigation of real interference threats, saving manpower, material resources, and time costs. By reusing the existing hardware capabilities of a massive number of in-use terminals through software algorithms, each terminal is transformed into a mobile, real-time monitoring "probe," expanding the coverage and density of the monitoring network at near-zero marginal cost, especially solving the problem of building expensive ground monitoring facilities to cover low-altitude and other three-dimensional spaces. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart illustrating an external interference self-diagnosis method provided in an embodiment of this application.

[0017] Figure 2 This is a structural block diagram of an external interference self-diagnosis frequency terminal provided in an embodiment of this application.

[0018] In the diagram, 200: Frequency Terminal; 201: Processor; 202: Memory; 203: RF Front-End Circuit; 204: Baseband Processing Circuit; 205: Communication Interface. The dashed arrows in the diagram indicate the signal flow between circuits, such as "downconversion signal". Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0020] Example 1

[0021] This embodiment provides a self-diagnostic method for external interference. This method is executed internally within the frequency-using terminal and achieves autonomous, real-time, and objective diagnosis of external interference by correlating and analyzing the terminal's own radio frequency physical layer parameters and baseband demodulation performance parameters. This method does not rely on any external monitoring equipment and achieves interference identification from a "first-person" perspective.

[0022] Please see Figure 1 , Figure 1 This is a flowchart illustrating an external interference self-diagnosis method provided in an embodiment of this application. The method can be executed by a processor within a frequency-using terminal and specifically includes the following steps:

[0023] Step S101: Obtain the inherent parameters of the frequency-using terminal and calculate the theoretical noise floor (P). th ).

[0024] In this step, the frequency-using terminal first needs to obtain its own inherent radio frequency parameters, which were determined during the design and manufacturing phases. These parameters form the basis for calculating the noise level generated by the receiver itself in an ideal "quiet" environment. In a preferred embodiment, the inherent parameters specifically include the noise figure (NF) and receiving bandwidth (BW) of the frequency-using terminal's receiver front end. The noise figure, measured in decibels (dB), characterizes the degree of degradation caused by additional noise introduced by the receiver's internal circuitry relative to an ideal noise-free receiver; the receiving bandwidth, measured in hertz (Hz), refers to the effective bandwidth of the receiver's intermediate frequency filter, which determines the total thermal noise energy that the receiver can receive.

[0025] After acquiring these inherent parameters, the processor determines the theoretical noise floor (P) based on the preset noise power calculation logic. th Theoretical noise floor (P) thThis represents the lowest power level achieved solely from thermal noise and receiver noise, without any external signal or interference input. Specifically, this calculation logic can be based on physical constants such as thermal noise power spectral density, Boltzmann constant (k), and standard noise temperature (T0). In a specific embodiment, this calculation logic is implemented using the following formula:

[0026] P th = -174dBm / Hz + NF + 10log 10 (BW)

[0027] Among them, P th The theoretical noise floor is represented by dBm; -174dBm / Hz is the power spectral density of thermal noise at room temperature, a generally accepted physical constant; NF is the noise figure of the terminal, in dB; BW is the receiving bandwidth of the terminal, in Hz. Using this formula, the terminal can accurately calculate its theoretical "noise floor" level at a specific bandwidth.

[0028] Step S102: Measure the total received power (P) of the current channel in real time. total ).

[0029] After determining its theoretical noise floor, the frequency-using terminal needs to measure in real time the sum of all radio frequency energy received on the current operating channel, i.e., the total received power (P). total )(Right now Figure 1 (S102 in the example). In modern wireless communication devices, this parameter is typically measured by an automatic gain control loop in the RF front-end circuitry or a dedicated power detector and provided to the baseband processor as a received signal strength indication value. Therefore, in this embodiment, the total received power (P) total Specifically, it is the received signal strength indication value, usually measured in dBm. This value reflects all the energy entering the receiver antenna port, including any useful signals, external interference signals, and background noise.

[0030] Step S103: Calculate the super-noise power (P) excess ).

[0031] The total received power (P) is obtained total ) and theoretical noise floor (P th After that, the processor compares the two values ​​to calculate the additional power beyond the theoretical noise floor, i.e., the super-noise power (P). excess The physical significance of this step lies in quantifying the amount of energy entering the receiver from the external environment. The specific calculation method is as follows: [Calculate the total received power (P)]. total Subtract the theoretical noise floor (P) th The difference is the super noise power (P).excess The calculation formula is as follows:

[0032] P excess = P total - P th

[0033] Among them, P excess The unit is dB. If P excess If the value is significantly greater than zero, it indicates that there is external radio frequency energy in the current channel in addition to theoretical noise.

[0034] Step S104: Determine the over-noise power (P) excess Whether it exceeds the preset power threshold.

[0035] The processor will calculate the super noise power (P) excess It is compared with a preset power threshold. This threshold is used to filter out meaningless positive values ​​caused by measurement errors or slight fluctuations in the noise floor, ensuring that subsequent diagnostic procedures are initiated only when the external energy reaches a certain intensity.

[0036] If the judgment result is negative, i.e., P excess If the power is not greater than a preset power threshold (e.g., approximately equal to 0 or a negative value), proceed to step S105. If the determination result is yes, i.e., P... excess If the value is significantly positive, it indicates a clear external energy intrusion, and then proceed to step S106.

[0037] Step S105: Determine that the current channel is in an idle state.

[0038] When the noise power (P) excess When the total power received (P) is not greater than the preset power threshold, it indicates that the total power received (P) is not greater than the preset power threshold. total ) and theoretical noise floor (P th The signal intensity is basically the same. This physically means that, apart from the receiver's inherent thermal noise, there is no other significant signal or interference energy present in the current channel. Therefore, the method determines that the current channel is either idle or has only background noise, and the diagnostic process ends.

[0039] Step S106: Obtain the baseband demodulation quality parameters of the current channel.

[0040] Once significant external energy intrusion is detected, the nature of this energy needs further investigation. To this end, the method requires obtaining a parameter that reflects the signal demodulation performance. This parameter is typically generated by the terminal's baseband processing circuitry during the demodulation and decoding of the received signal. In a preferred embodiment, this baseband demodulation quality parameter is the carrier-to-noise ratio (C / N0) value. C / N0 directly measures the ratio of the useful signal power to the noise power spectral density at the demodulator input and is a core indicator for evaluating communication link quality. A high C / N0 value indicates good signal quality and ease of correct demodulation; conversely, a low C / N0 value indicates poor signal quality and a high bit error rate.

[0041] Step S107: Perform core diagnostic judgment based on super noise power and demodulation quality parameters.

[0042] This is the core step of this method, which involves establishing the super-noise power (P0). excess The processor establishes a logical relationship between the baseband demodulation quality parameter (C / N0) and the baseband demodulation quality parameter to make a final determination of the communication status. The processor compares the acquired C / N0 value with a preset demodulation threshold, which represents the minimum signal quality requirement for maintaining normal communication.

[0043] The specific judgment logic is as follows: • Case 1: Strong external interference exists. If P excess If the power exceeds a preset power threshold (indicating strong external energy) and the C / N0 value is below a preset demodulation threshold (indicating poor demodulation quality), the method determines that external interference exists. The physical meaning of this logic is: a large amount of external energy enters the receiver, but this energy fails to form a high-quality demodulated signal; instead, it may suppress the useful signal, leading to a deterioration in the overall signal-to-noise ratio. This is a typical characteristic of external interference signals—strong energy but non-cooperative, and containing no effective information. • Case Two: Strong useful signal exists. If P excess If the power value exceeds a preset power threshold (indicating strong external energy) and the C / N0 value is not lower than (i.e., greater than or equal to) a preset demodulation threshold (indicating good demodulation quality), then the method determines that a strong useful signal exists. The physical meaning of this logic is: external energy entering the receiver is successfully demodulated into a high-quality signal, proving that the energy is a structured, useful signal conforming to the communication protocol, rather than useless interference. In this case, the communication link quality is excellent.

[0044] By using this two-dimensional correlation discrimination, this method can effectively pinpoint the root cause of communication quality degradation to whether it is "external interference" or other issues (such as a weak signal, in which case P...). excess It won't be very high).

[0045] After determining the presence of external interference, the method may further perform the following optional steps: • Interference intensity quantization: based on super-noise power (P excessThe value of P is used to quantitatively estimate the intensity of external interference. Because in interference scenarios, P... excess The interference is mainly contributed by the interference signal, therefore the interference power can be approximated as I ≈ P. excess This provides a quantitative basis for subsequent supervision and investigation. • Generating and reporting alarms: After quantifying the interference intensity, the terminal can generate a structured interference alarm report. This report can include the interference determination result and the estimated interference intensity. To facilitate tracing and analysis, the report can also include other auxiliary information, such as the timestamp of the interference event, the current geographical location information of the frequency-using terminal (obtained through modules such as the built-in Global Navigation Satellite System), and the unique identifier of the frequency-using terminal (such as the device ID). This report can then be sent to a pre-set radio monitoring server via the terminal's business communication link.

[0046] Furthermore, the execution of this method can be triggered by different events. For example, the frequency-using terminal can execute the diagnostic process according to a preset time period (such as once per second) to achieve continuous monitoring of the channel environment. Alternatively, the method can also work in passive mode, and be triggered only when the frequency-using terminal detects a decline in its own communication service quality (such as an increase in bit error rate or a decrease in throughput) to perform real-time root cause analysis.

[0047] This method can be widely deployed in various wireless communication devices, such as drones, cellular network terminals (mobile phones, base stations), satellite earth stations, global navigation satellite system receivers, and vehicle-mounted units for vehicle-to-everything (V2X) communication. Its applications are not limited to radio regulation; they can also be extended to intelligent operation and self-optimization of public mobile communication networks, predictive maintenance and security protection for the Industrial Internet of Things (IIoT), and many other fields.

[0048] Example 2

[0049] This embodiment provides an external interference self-diagnosis frequency terminal, which can implement the method described in Embodiment 1.

[0050] Please see Figure 2 , Figure 2 This is a structural block diagram of an external interference self-diagnostic frequency terminal 200 provided in an embodiment of this application. The frequency terminal 200 can be a drone, a smartphone, a vehicle communication unit, or any other electronic device with wireless communication capabilities.

[0051] like Figure 2 As shown, the frequency-using terminal 200 includes a processor 201, a memory 202, and a computer program stored in the memory 202 and executable on the processor 201. When the processor 201 executes the computer program, it implements the external interference self-diagnosis method described in Embodiment 1.

[0052] Specifically, the frequency terminal 200 may also include a radio frequency front-end circuit 203, a baseband processing circuit 204, and a communication interface 205. These components are communicatively connected to the processor 201 and the memory 202 via an internal bus or a dedicated interface.

[0053] Memory 202: Used to store inherent parameters of the frequency-using terminal, such as noise figure (NF) and receive bandwidth (BW). In addition, memory 202 is also used to store preset power thresholds, preset demodulation thresholds, and computer program instructions for implementing the method of this application. Memory 202 can be any type of volatile or non-volatile storage device, such as RAM, ROM, flash memory, etc.

[0054] Processor 201: This is the control and computing core of the terminal. It can be a central processing unit, a digital signal processor, a field-programmable gate array, or a dedicated system-on-a-chip. Processor 201 is configured to execute instructions stored in memory 202 to control the overall operation of the terminal and implement the diagnostic method of this application. Specific functional configurations are as follows: • Configured to obtain intrinsic parameters (NF, BW) stored in memory 202 and calculate the theoretical noise floor (P) according to a preset formula. th • Configured to obtain real-time total received power (P) from RF front-end circuitry 203. total This refers to the received signal strength indication value. The RF front-end circuit 203 is responsible for receiving the antenna signal, performing filtering, low-noise amplification, and down-conversion. • Configured based on P... total and P th Calculate the super noise power (P) excess • Configured to execute judgment logic, comparing P. excess With power threshold. • If P excess If the threshold is exceeded, the system is configured to obtain the baseband demodulation quality parameters, i.e., the C / N0 value, from the baseband processing circuit 204. The baseband processing circuit 204 is responsible for digital signal processing such as demodulation, channel decoding, and source decoding of the signal processed by the RF front-end. • Configured to execute core diagnostic logic, based on P... excess The relationship with C / N0 determines the communication status as either external interference, a strong useful signal, or an idle channel. • After determining the presence of external interference, it is further configured to be based on P. excess The value quantifies the interference intensity and generates an interference alarm report containing interference intensity, timestamp, geographic location information, etc. • Configured to trigger the entire diagnostic process according to a preset time period, or in response to a communication service quality degradation event detected by the baseband processing circuit 204.

[0055] Communication interface 205: Used for communication between the terminal and external devices or networks. In this embodiment, after the processor 201 generates an interference alarm report, it is configured to send the report to a preset monitoring server via communication interface 205. Communication interface 205 can be a wireless communication module, such as a 4G / 5G module, a Wi-Fi module, etc.

[0056] In summary, the frequency-using terminal in this embodiment, through the coordinated operation of its internal processor, memory, and radio frequency and baseband circuits, constitutes an endogenous, closed-loop interference self-diagnosis system. It requires no additional hardware costs and can be implemented solely through software or firmware upgrades, exhibiting high deployment feasibility and cost-effectiveness.

[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. An external interference self-diagnosis method, applied to a frequency-using terminal, characterized in that, The method includes: acquiring the inherent parameters of the frequency-using terminal and calculating a theoretical noise floor based on the inherent parameters; measuring the total received power of the current channel of the frequency-using terminal in real time; calculating the super-noise power based on the total received power and the theoretical noise floor; determining whether the super-noise power is greater than a preset power threshold; if the super-noise power is greater than the preset power threshold, acquiring the baseband demodulation quality parameters of the current channel of the frequency-using terminal; determining the communication state based on the super-noise power and the baseband demodulation quality parameters, wherein if the baseband demodulation quality parameters are lower than a preset demodulation threshold, it is determined that external interference exists; if the baseband demodulation quality parameters are not lower than the preset demodulation threshold, it is determined that a strong useful signal exists.

2. The method according to claim 1, characterized in that, The inherent parameters include the noise figure and receiving bandwidth of the frequency-using terminal.

3. The method according to claim 2, characterized in that, The step of calculating the theoretical noise floor based on the inherent parameters specifically includes: determining the theoretical noise floor based on the Boltzmann constant, standard noise temperature, the receiving bandwidth, and the noise figure, according to a preset noise power calculation logic.

4. The method according to claim 1, characterized in that, The step of calculating the super noise power based on the total received power and the theoretical noise floor specifically involves subtracting the theoretical noise floor from the total received power to obtain the super noise power.

5. The method according to claim 1, characterized in that, The method further includes: if the super noise power is not greater than the preset power threshold, then it is determined that the current channel is in a channel idle state.

6. The method according to claim 1, characterized in that, After determining the existence of the external interference, the method further includes: quantitatively estimating the interference intensity of the external interference based on the value of the super noise power.

7. The method according to claim 6, characterized in that, The method further includes: after quantitatively estimating the interference intensity of the external interference, generating an interference alarm report, wherein the interference alarm report contains the determination result of the external interference and the interference intensity.

8. The method according to claim 7, characterized in that, The interference alarm report also includes at least one of the following: the timestamp of the interference event, the geographical location information of the frequency-using terminal, and the unique identifier of the frequency-using terminal.

9. The method according to claim 1, characterized in that, The total received power is the received signal strength indication value.

10. The method according to claim 1, characterized in that, The baseband demodulation quality parameter is the carrier-to-noise ratio.

11. The method according to claim 1, characterized in that, The method is executed by the frequency-using terminal according to a preset time period, or is triggered in response to a communication service quality degradation event detected by the frequency-using terminal.

12. A frequency terminal for external interference self-diagnosis, characterized in that, include: Memory; processor; And a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method as described in any one of claims 1-11.

13. A computer program product comprising computer instructions that, when executed by a processor, implement the method as described in any one of claims 1-11.

14. A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method as described in any one of claims 1-11.

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