A method and system for detecting electromagnetic interference sources using a dual-electric-field probe differential positioning

Abstract

This invention discloses a method and system for detecting electromagnetic interference sources using differential positioning with dual electric field probes, relating to the field of electromagnetic interference positioning and detection technology for intelligent vehicles. The method includes the following steps: setting up several sets of detection points according to the detection environment; placing a dual-probe interference source detection device on one set of detection points; obtaining positioning data through a differential positioning method, wherein the differential positioning method involves acquiring the electric field strength of the two electric field probes in the dual-probe interference source detection device and inferring the direction of the electromagnetic interference source using the difference in electric field strength; and performing data fusion calculation on multiple sets of positioning data using an interference algorithm model to eliminate the influence of secondary interference sources and obtain the positioning result of the primary interference source. This invention detects and locates the distance and position of electromagnetic interference sources by measuring and analyzing changes in the electric field in space, and improves the accuracy of interference source positioning using an interference algorithm model.

Description

Technical Field

[0001] This invention relates to the field of electromagnetic interference location and detection technology for intelligent vehicles, and in particular to a method and system for detecting electromagnetic interference sources using a dual-electric-field probe for differential location. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] With the rapid development of intelligent vehicles, many electronic control units (ECUs) are being integrated into vehicles. These ECUs, including the powertrain, braking system, entertainment system, and various high-power sensors (LiDAR, multi-functional cameras), can all become potential sources of electromagnetic interference. Positioning is a prerequisite for autonomous driving in intelligent vehicles, and positioning antennas are highly susceptible to various electromagnetic interference sources, leading to positioning errors or slow convergence, and consequently, other functional malfunctions. Furthermore, due to the limited interior space of automobiles, effective electromagnetic shielding design is challenging. Therefore, timely identification of major interference sources during development is crucial for the later development and use of vehicles with positioning capabilities.

[0004] Currently, existing research on the location of electromagnetic interference sources in intelligent vehicles can only determine the general direction, and is affected by multiple other secondary interference sources, making it impossible to determine the accurate location of the interference source. Therefore, how to achieve accurate location of interference sources in intelligent vehicles has become an urgent problem to be solved by existing technologies. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the present invention aims to provide a detection method and system for differential positioning of electromagnetic interference sources using dual electric field probes. This method detects and locates the distance and position of electromagnetic interference sources by measuring and analyzing changes in the electric field in space, and improves the accuracy of interference source positioning by utilizing an interference algorithm model.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0007] The first aspect of this invention provides a method for detecting electromagnetic interference sources using a dual-electric-field probe differential positioning system, comprising the following steps:

[0008] Several sets of detection points are set up according to the detection environment;

[0009] The dual-probe interference source detection device is placed on a set of detection points, and the positioning data is obtained by differential positioning method. The differential positioning method is to obtain the electric field strength of the two electric field probes in the dual-probe interference source detection device and use the difference in electric field strength to infer the direction of the electromagnetic interference source.

[0010] By using an interference algorithm model to perform data fusion calculations on multiple sets of positioning data, the influence of secondary interference sources is eliminated, and the positioning result of the main interference source is obtained.

[0011] Furthermore, the detection points have a certain degree of spatial symmetry and spatial uniformity, and multiple sets of detection points are arranged in a rectangular or circular pattern.

[0012] Furthermore, the electric field probe is calibrated using a calibration electric field sensor before it is put into operation.

[0013] Furthermore, the dual-probe interference source detection device includes two electric field probes and an IMU unit. The two electric field probes have the same sensing frequency and sensitivity. The two electric field probes are fixed at both ends of a rigid connecting rod, and the position of the electric field probes can be adjusted by the free rotation of the connecting rod. The IMU unit is installed in the middle of the connecting rod to record the attitude of the connecting rod when collecting data.

[0014] Furthermore, the specific steps for placing the dual-probe interference source detection device at a set of detection points and obtaining positioning data using the differential positioning method are as follows:

[0015] Place the dual-probe interference source detection device at the pre-planned test point and start the data acquisition program;

[0016] Record the interference intensity data from the two electric field probes and the IMU data, and rotate the adjustment rod to record the changes in interference intensity;

[0017] The direction at which the intensity difference between the two electric field probes is at its maximum can be used to initially determine the direction of the main interference source.

[0018] The probe moves point by point to the pre-planned detection points based on the actual environment. During the movement, the interference intensity is recorded in real time without rotation. The electric field probe interference intensity data and IMU data are recorded at multiple detection points.

[0019] Furthermore, when the electric field probes at both ends of the connecting rod detect the same intensity, the interference source is on the vertical line of the connecting rod; when the intensity difference between the two ends of the connecting rod is the greatest, the interference source is on the extension line of the connecting rod.

[0020] Furthermore, the specific steps for performing data fusion calculations on multiple sets of positioning data using the interference algorithm model are as follows:

[0021] The collected data is preprocessed and coordinate system unification is performed.

[0022] The data after coordinate system one is input into the interference algorithm model, and the electric field features are extracted and calculated using deep learning algorithm to obtain the radiation pattern;

[0023] The calculated radiation pattern is analyzed to determine the exact location and intensity of the interference source.

[0024] A second aspect of the present invention provides a detection system for differentially locating electromagnetic interference sources using dual electric field probes, comprising:

[0025] The site setup module is configured to set up several sets of detection points based on the detection environment;

[0026] The data acquisition module is configured to place the dual-probe interference source detection device on a set of detection points and obtain positioning data through a differential positioning method. The differential positioning method is to obtain the electric field strength of the two electric field probes in the dual-probe interference source detection device and use the difference in electric field strength to infer the direction of the electromagnetic interference source.

[0027] The interference elimination module is configured to use an interference algorithm model to perform data fusion calculations on multiple sets of positioning data, eliminate the influence of secondary interference sources, and obtain the positioning result of the main interference source.

[0028] A third aspect of the present invention provides a medium having a program stored thereon, which, when executed by a processor, implements the steps in the detection method for differential positioning of electromagnetic interference sources using dual electric field probes as described in the first aspect of the present invention.

[0029] A fourth aspect of the present invention provides an apparatus including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps in the detection method for differential positioning of electromagnetic interference sources by dual electric field probes as described in the first aspect of the present invention.

[0030] The above one or more technical solutions have the following beneficial effects:

[0031] This invention discloses a method and system for detecting electromagnetic interference sources using a dual-electric-field probe differential positioning system. The system utilizes a dual-electric-field probe structure mounted on a rotatable bracket to detect intensity changes during installation. Data is acquired at different observation points, and the collected data is then input into a model constructed using a deep learning algorithm for position calculation and data fusion to derive the final spatial location information of the interference source. This approach improves detection accuracy while reducing equipment complexity.

[0032] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0033] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0034] Figure 1This is a schematic diagram of the detection principle of the dual-probe interference source detection device in Embodiment 1 of the present invention. Detailed Implementation

[0035] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0036] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0037] Example 1:

[0038] Electromagnetic interference (EMC) generated by the electronic components of larger vehicles can affect the normal operation of other electromagnetically sensitive components. Therefore, EMC testing of vehicles is essential. Finding the radiation source quickly during vehicle design and development, while using relatively simple equipment, has become an important area of ​​research. Embodiment 1 of this invention provides a method for detecting EMC sources using a dual-field probe differential localization method. This method utilizes dual-field probes combined with an IMU to form the data sensing part of the EMC detection system. It detects and locates the distance and position of the EMC source by measuring and analyzing changes in the electric field in space. The system uses a differential measurement method with dual probes to determine the direction of the interference source, uses the IMU to locate the initial detection position, records electromagnetic intensity data, and then uses a deep learning model to construct a three-dimensional EMC image, ultimately achieving rapid localization of the interference source.

[0039] Specifically, the following steps are included:

[0040] Step 1: Set up several sets of detection points according to the detection environment.

[0041] Design the detection points according to the actual detection environment. The number of points should be no less than 8 sets to facilitate subsequent position calculation. The detection points should have a certain degree of spatial symmetry and spatial uniformity. Multiple sets of detection points should be arranged in a rectangular or circular pattern.

[0042] Step 2: Place the dual-probe interference source detection device on a set of detection points and obtain positioning data through differential positioning method.

[0043] The differential positioning method involves obtaining the electric field strength of the two electric field probes in the dual-probe interference source detection device and using the difference in electric field strength to infer the direction of the electromagnetic interference source.

[0044] Step 2.1: Set up a dual-probe interference source detection device. In this embodiment, the dual-probe interference source detection device includes two electric field probes and one IMU unit. The two electric field probes have the same sensing frequency and sensitivity. The two electric field probes are fixed at both ends of a rigid connecting rod, which is approximately ten centimeters long. The position of the electric field probes can be adjusted by freely rotating the connecting rod. The IMU unit is installed in the middle of the connecting rod to record the rod's attitude during data acquisition. A portable data acquisition device is also included to collect electric field probe data and IMU data at different locations.

[0045] Step 2.2: Before the electric field probe is put into operation, it is calibrated using a calibration electric field sensor.

[0046] The calibration process is as follows: Determine the calibration points based on the frequency range of the field probe or calibration electric field sensor to be calibrated. Select at least three frequency values ​​as calibration points within every ten octave band between the lowest and highest frequencies. Place the calibration electric field sensor within the uniform field region of the calibration electric field, adjust the input signal level of the calibration electric field, obtain the forward and reverse input power of the calibration electric field sensor using a power meter, and calculate the standard field strength using the TEM chamber standard field method.

[0047] During calibration, the calibration coefficient of the electric field probe is determined by comparing the field strength value measured by the electric field probe with the standard field strength value calculated using the standard field method in a TEM chamber. This calibration coefficient is used to adjust the measured value of the electric field probe to match the standard field strength, thereby improving the accuracy of the measurement.

[0048] Step 2.3: Obtain positioning data using the differential positioning method. The specific interference source detection principle is as follows: Two mutually separated electric field probes with a fixed distance are used to measure the electric field in space and convert it into a voltage signal for output. The electric field probes are fixed at both ends of a connecting rod, with an IMU unit fixed in the middle. The connecting rod is rotated, and the difference in measurement signals between the two probes is compared.

[0049] Differential signal: The two electric field probes at both ends of the connecting rod are probe A and probe B, respectively. Probe A and probe B measure the electric field strength at the same point, namely EA and EB, respectively. The difference between the two is ΔE = EA - EB. The direction of the electromagnetic interference source can be inferred through ΔE.

[0050] When the detection intensity of the probes at both ends is the same, the source of interference is on the vertical line of the connecting rod, and the intensity difference between the two ends is the largest on the extension line of the connecting rod.

[0051] Due to the presence of the secondary interference source, its direction, as calculated above, will inevitably deviate. By continuously changing the main test points, the direction of the interference source at different locations can be calculated. The position of the interference source can be calculated using the phase difference. Simultaneously, the voltage difference at the maximum difference is calculated to determine the distance; the larger the voltage difference, the closer it is to the interference source. The IMU unit is used to track the probe's movement, providing accurate position information and attitude data.

[0052] In one specific implementation, the dual-probe interference source detection device is placed at a set of detection points, and the specific steps for obtaining positioning data using the differential positioning method are as follows:

[0053] Step 2.3.1: Place the dual-probe interference source detection device at the pre-planned test point and start the data acquisition program.

[0054] Step 2.3.2: Record the interference intensity data of the two electric field probes and the IMU data, and rotate the adjustment rod to record the change in interference intensity.

[0055] Step 2.3.3: The direction of the main interference source is initially determined when the intensity difference between the two electric field probes is the largest.

[0056] Step 2.3.4: Move point by point to the detection points planned in advance according to the actual environment. During the movement, the interference intensity is recorded in real time, but rotation is not required. Record the electric field probe interference intensity data and IMU data at multiple detection points respectively.

[0057] Step 3: Use the interference algorithm model to perform data fusion calculation on multiple sets of positioning data, eliminate the influence of secondary interference sources, and obtain the positioning result of the main interference source.

[0058] Step 3.1: Preprocess the collected data and perform coordinate system unification.

[0059] Step 3.1.1: Preprocess the data from the electric field probe and IMU, including normalization, filtering and denoising, to improve data quality and model robustness.

[0060] Step 3.1.2: Apply coordinate system one to the preprocessed data to obtain data in the same coordinate system, which facilitates the calculation of the direction pattern.

[0061] Step 3.2: Input the data after coordinate system one into the interference algorithm model, use deep learning algorithm to extract electric field features and calculate to obtain the radiation pattern.

[0062] Step 3.2.1: Use a deep learning model to extract features from the preprocessed data.

[0063] In this embodiment, a CNN model is used as the framework for the interference algorithm model. An LSTM layer is added to the interference algorithm model to capture the temporal relationship between features. The extracted features include the intensity and direction of the electric field, as well as its changes over time.

[0064] Step 3.2.3: Calculate the radiation pattern using the extracted features and spatial layout information. The radiation pattern can show how the electric field strength changes with angle, thus allowing inference of the direction of the interference source.

[0065] Specifically, the distribution of the electric field is analyzed by combining the spatial layout of the electric field probes. That is, through the learning process, the extracted features are enhanced, retaining useful information and eliminating useless information, thereby reducing computational load and improving the classifier's performance.

[0066] This embodiment also employs clustering algorithms such as the K-means algorithm to cluster the features in order to identify different patterns or regions in the electric field.

[0067] Specifically, the following steps are included:

[0068] K data points are randomly selected as the initial centroids.

[0069] Calculate the distance from each data point to each centroid and assign it to the cluster corresponding to the nearest centroid.

[0070] For all data points in each cluster, calculate their mean and update the mean to the new centroid.

[0071] Repeat the above steps until the centroid converges (i.e., the centroid no longer changes or changes very little).

[0072] For each data point, the distance between the cluster center and the classification feature can be calculated using methods such as cosine similarity.

[0073] The nearest cluster centroid and classification feature are selected as the final category of the data points.

[0074] The cluster centroids and classification features are updated in preparation for the next fusion. This embodiment can use any update strategy, such as retraining the clustering and classification algorithms.

[0075] By fusing the clustering and classification methods described above, the final category of each data point can be determined, and these categories can correspond to different sources of interference. By analyzing these categories and their characteristics, the location and intensity of the interference source can be inferred. For example, if most data points in a certain category show high interference intensity, then this category may correspond to a strong interference source. Using Geographic Information Systems (GIS) or similar technologies, these data points can be mapped to their actual locations, thereby determining the precise location and intensity of the interference source.

[0076] The accuracy of the orientation pattern was further improved after the clustering algorithm was added.

[0077] Step 3.3: Analyze the calculated radiation pattern to determine the exact location and intensity of the interference source.

[0078] A beam pattern describes the radiation intensity or receiver sensitivity of an antenna array in different directions. Based on the characteristics of the beam pattern, it is possible to determine whether electromagnetic interference mainly originates from ground and space radio signals in the direction of a strong interference source. By measuring the spectrum from the ground in the direction of a strong electromagnetic interference source and selecting the location of the strongest interference source in the measured spectrum, the location of the interference source can be determined.

[0079] It should be noted that using radiation patterns to determine the location and intensity of interference sources is a standard practice in this field, so the specific steps will not be described here.

[0080] This embodiment uses dual electric field probes in synergy for electromagnetic interference detection, enabling rapid location and measurement of interference sources and improving detection accuracy and reliability. Utilizing signal processing techniques and deep learning algorithms, it effectively meets the electromagnetic interference detection needs in complex environments, providing crucial protection for the electromagnetic compatibility of various electronic devices and systems.

[0081] Example 2:

[0082] Embodiment 2 of the present invention provides a detection system for differentially locating electromagnetic interference sources using dual electric field probes, comprising:

[0083] The site setup module is configured to set up several sets of detection points based on the detection environment;

[0084] The data acquisition module is configured to place the dual-probe interference source detection device on a set of detection points and obtain positioning data through a differential positioning method. The differential positioning method is to obtain the electric field strength of the two electric field probes in the dual-probe interference source detection device and use the difference in electric field strength to infer the direction of the electromagnetic interference source.

[0085] The interference elimination module is configured to use an interference algorithm model to perform data fusion calculations on multiple sets of positioning data, eliminate the influence of secondary interference sources, and obtain the positioning result of the main interference source.

[0086] Example 3:

[0087] Embodiment 3 of the present invention provides a medium on which a program is stored. When the program is executed by a processor, it implements the steps in the detection method of differential positioning electromagnetic interference source by dual electric field probe as described in Embodiment 1 of the present invention.

[0088] Example 4:

[0089] Embodiment 4 of the present invention provides a device, including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the detection method of differential positioning electromagnetic interference source by dual electric field probe as described in Embodiment 1 of the present invention.

[0090] The steps and methods involved in Examples 2, 3 and 4 above correspond to those in Example 1. For specific implementation details, please refer to the relevant description section of Example 1.

[0091] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.

[0092] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A method for detecting electromagnetic interference sources using a dual-electric-field probe for differential positioning, characterized in that, Includes the following steps: Several sets of detection points are set up according to the detection environment; The dual-probe interference source detection device is placed at a set of detection points, and positioning data is obtained through a differential positioning method. The differential positioning method involves obtaining the electric field strength of the two electric field probes in the dual-probe interference source detection device and using the difference in electric field strength to infer the direction of the electromagnetic interference source. The dual-probe interference source detection device includes two electric field probes and an IMU unit. The two electric field probes have the same sensing frequency and sensitivity. The two electric field probes are fixed at both ends of a rigid connecting rod, and the position of the electric field probes can be adjusted by freely rotating the connecting rod. The IMU unit is installed in the middle of the connecting rod to record the attitude of the connecting rod when collecting data. By using an interference algorithm model to perform data fusion calculations on multiple sets of positioning data, the influence of secondary interference sources is eliminated, and the positioning result of the main interference source is obtained.

2. The detection method for differential positioning electromagnetic interference sources using dual electric field probes as described in claim 1, characterized in that, The detection points have a certain degree of spatial symmetry and spatial uniformity, and multiple sets of detection points are arranged in a rectangular or circular pattern.

3. The detection method for differential positioning electromagnetic interference sources using dual electric field probes as described in claim 1, characterized in that, Before the electric field probe is put into operation, it is calibrated using a calibration electric field sensor.

4. The detection method for differential positioning electromagnetic interference sources using dual electric field probes as described in claim 3, characterized in that, The specific steps for placing the dual-probe interference source detection device at a set of detection points and obtaining positioning data using the differential positioning method are as follows: Place the dual-probe interference source detection device at the pre-planned test point and start the data acquisition program; Record the interference intensity data from the two electric field probes and the IMU data, and rotate the adjustment rod to record the changes in interference intensity; The direction at which the intensity difference between the two electric field probes is at its maximum can be used to initially determine the direction of the main interference source. The probe moves point by point to the pre-planned detection points based on the actual environment. During the movement, the interference intensity is recorded in real time without rotation. The electric field probe interference intensity data and IMU data are recorded at multiple detection points.

5. The detection method for differential positioning electromagnetic interference sources using dual electric field probes as described in claim 1, characterized in that, When the electric field probes at both ends of the connecting rod detect the same intensity, the interference source is on the vertical line of the connecting rod. When the intensity difference between the two ends of the connecting rod is the largest, the interference source is on the extension line of the connecting rod.

6. The detection method for differential positioning electromagnetic interference sources using dual electric field probes as described in claim 1, characterized in that, The specific steps for performing data fusion calculations on multiple sets of positioning data using the interference algorithm model are as follows: The collected data is preprocessed and coordinate system unification is performed. The data after coordinate system one is input into the interference algorithm model, and the electric field features are extracted and calculated using deep learning algorithm to obtain the radiation pattern; The calculated radiation pattern is analyzed to determine the exact location and intensity of the interference source.

7. A detection system for the detection method of differential positioning electromagnetic interference source using dual electric field probes as described in claim 1, characterized in that, include: The site setup module is configured to set up several sets of detection points based on the detection environment; The data acquisition module is configured to place the dual-probe interference source detection device on a set of detection points and obtain positioning data through a differential positioning method. The differential positioning method is to obtain the electric field strength of the two electric field probes in the dual-probe interference source detection device and use the difference in electric field strength to infer the direction of the electromagnetic interference source. The interference elimination module is configured to use an interference algorithm model to perform data fusion calculations on multiple sets of positioning data, eliminate the influence of secondary interference sources, and obtain the positioning result of the main interference source.

8. A computer-readable storage medium, characterized in that, It stores multiple instructions, which are adapted to be loaded and executed by the processor of the terminal device. The method for detecting electromagnetic interference sources by differential positioning of dual electric field probes according to any one of claims 1-6.

9. A terminal device, characterized in that, The method includes a processor and a computer-readable storage medium, wherein the processor implements various instructions; and the computer-readable storage medium stores multiple instructions adapted to be loaded by the processor and executed by the processor for the detection method of differential positioning electromagnetic interference source using dual electric field probes as described in any one of claims 1-6.

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