A test method and system for a wideband radio detection device

Abstract

This invention relates to a testing method and system for broadband radio detection equipment, belonging to the field of anti-drone technology. The method includes the following steps: setting up at least one test point; dividing each test point into multiple environmental zones centered on the device under test (DUT) installation location according to environmental complexity; deploying the test system; setting the test starting point at a distance of 1.5 to 2 times the estimated maximum detection distance from the device installation location; performing flight tests in multiple environmental zones; and calculating six performance indicators for the DUT in each zone based on test data recorded in different environmental zones: detection direction finding, protocol parsing, broadcast monitoring, image transmission detection, multi-target recognition, and frequency band adaptability, and comparing the differences in indicators between different environmental zones. This invention achieves full-band coverage testing from 200MHz to 8GHz and establishes a multi-dimensional test indicator system covering core functions and complex scenarios.

Description

Technical Field

[0001] This invention belongs to the field of anti-drone technology, and in particular relates to a testing method and system for broadband radio detection equipment. It is applicable to the research and development verification, production acceptance and scenario adaptation evaluation of broadband anti-drone detection equipment, and provides standardized testing basis for the application of radio detection equipment in complex environments. Background Technology

[0002] With the rapid development of drone technology, the application of consumer and industrial drones is becoming increasingly widespread. However, this has also brought about a series of problems, such as unauthorized flights disrupting air traffic, privacy leaks, and security threats. To address these risks, anti-drone detection equipment has emerged. Capable of monitoring and identifying the flight status and communication signals of drones, it is a key piece of equipment for ensuring airspace security. Currently, the operating frequency bands of anti-drone detection equipment have gradually expanded to a wider range. The 200MHz-8GHz band covers the signal frequencies commonly used by drones for remote control, image transmission, and navigation, becoming the core operating range of mainstream anti-drone detection equipment. In the research, development, production, and acceptance of anti-drone detection equipment, the testing phase is crucial, directly determining the equipment's performance in real-world application scenarios.

[0003] Testing is a core component of the research, development, production, and acceptance of broadband anti-unmanned surveillance equipment. Existing related testing technologies mainly fall into three categories: 1. Laboratory simulation testing technology: The signal generator simulates the drone signal in a closed environment, and the signal parameters can be precisely adjusted. However, it completely deviates from the key factors in the real environment such as electromagnetic interference and terrain obstruction. The test results deviate greatly from the actual application scenario. 2. Single-environment site testing technology: Testing is conducted in simple environments such as open playgrounds in the suburbs or dedicated test sites, using actual drones as signal sources. This can only reflect the basic performance in scenarios without complex interference, and cannot meet the actual needs of equipment that is mostly used in complex urban and suburban environments. 3. Narrow-band targeted testing technology: The test scheme is designed focusing on commonly used image transmission frequency bands such as 2.4GHz and 5.8GHz, which cannot cover the wide frequency range of 200MHz-8GHz. This can easily lead to performance vulnerabilities in the equipment in untested frequency bands. Moreover, the test indicators are mostly limited to detection distance, and the evaluation of core functions such as protocol parsing, broadcast monitoring, image transmission detection, and multi-target recognition is insufficient.

[0004] Existing technology has three major flaws: 1. The test scenario is out of touch with reality: The test did not fully simulate real working conditions such as high-rise building obstruction, multi-source electromagnetic interference from base stations or civilian electronic devices, and complex terrain in urban and suburban environments, which makes it impossible to predict the actual application effect of the equipment based on the test results. 2. Incomplete test coverage: Frequency band coverage is limited to some core frequency bands and does not achieve full frequency band coverage from 200MHz to 8GHz; test indicators focus on basic distance parameters and lack a comprehensive evaluation of the equipment's core functions and performance in complex scenarios; 3. Simplified scenario segmentation: The complexity of urban and suburban environments is not subdivided, making it impossible to clearly define the performance differences of equipment under different interference intensities and degrees of obstruction, which is not conducive to equipment optimization, upgrading and scenario adaptation. Summary of the Invention

[0005] To address the technical problems existing in current anti-drone detection equipment testing technologies, such as scenarios being detached from reality, incomplete test coverage, and limited scenario division, this invention provides a testing method for wideband radio detection equipment. This method constructs a multi-scenario, multi-complexity test environment closely resembling real-world applications, simulating drone intrusion scenarios in urban and suburban environments; achieves full-band coverage testing from 200MHz to 8GHz, comprehensively evaluating the equipment's performance across different frequency bands; establishes a multi-dimensional test index system covering core functions and complex scenarios, fully reflecting the equipment's overall performance; and develops standardized and repeatable testing procedures, providing data support for equipment R&D optimization, production acceptance, and scenario-based applications.

[0006] According to a first aspect of the present invention, a testing method for a broadband radio detection device is provided, comprising the following steps: Step 1, construct the test environment: set up at least one test point in each of the first application environment and the second application environment. At each test point, take the device under test as the center and divide it into multiple environmental areas according to the complexity of the environment. Each area has different electromagnetic interference intensity and physical shielding degree. Step 2, Deploy the test system: The test system includes a 200MHz-8GHz wideband radio detection device as the test object, at least three different communication frequency bands of drones as signal sources, a control unit operated by the pilot, and a data recording unit for synchronously recording drone position information, device output data, and test process video; Step 3, set the test starting point: Set the test starting point at a distance of 1.5 to 2 times the estimated maximum detection distance from the equipment installation point, so that the drone can cover the entire process of stable detection that has never been detected before during the flight. Step 4: Perform flight tests in the multiple environmental areas respectively: Control one or more drones to fly to the equipment installation point along a preset route. During the flight, record the detection distance of the drone signal, protocol parsing distance, broadcast monitoring distance, image transmission detection distance, number of multi-target recognitions, and detection performance of signals in each frequency band of the device under test. The flight tests in different environmental areas are conducted independently, and the test data in each area are recorded separately. Step 5: Evaluate test indicators: Based on the test data recorded in different environmental areas, calculate the six performance indicators of the device under test in each area: detection and direction finding, protocol parsing, broadcast monitoring, image transmission detection, multi-target recognition, and frequency band adaptability, and compare the differences in indicators between different environmental areas.

[0007] Furthermore, the first application environment is an urban environment, and the second application environment is a suburban environment. The urban environment refers to a building density ≥ 30% / km². 2 Number of electromagnetic signal sources ≥ 30 / km 2 Typical urban built-up areas; the suburban environment refers to a building density ≤15% / km². 2 Number of electromagnetic signal sources ≤ 15 / km 2 A typical suburban mixed area.

[0008] Furthermore, the plurality of environmental regions include a first environmental region, a second environmental region, and a third environmental region arranged in ascending order of environmental complexity, wherein: The first environmental zone is an open area with no obstructions and low electromagnetic interference. The second environmental zone is the area where there are building obstructions and electromagnetic interference from civilian electronic devices. The third environmental zone is an area with dense high-rise buildings, strong multi-source electromagnetic interference, or complex terrain.

[0009] Furthermore, when controlling multiple drones for flight testing, select 2-3 drones of different models and deploy them at multiple test starting points at different locations and equidistant from the test site. The pilots will then synchronously control each drone to fly towards the equipment setup point. In addition, for each environmental area, each drone will be tested 3 times in single-target flight tests and 2 times in multi-target flight tests.

[0010] Furthermore, the first environmental area, the second environmental area, and the third environmental area correspond to radii R1, R2, and R3 centered on the device installation point, respectively, where R1 = 1-2km, R2 = 3-4km, and R3 = 5-6km, and the radii are adjusted according to the estimated maximum detection distance of the device under test.

[0011] Furthermore, the drone of the signal source covers at least three different frequency bands among 200MHz-400MHz, 900MHz, 2.4GHz, 5.8GHz, and 7GHz-8GHz.

[0012] Furthermore, the drone's flight altitude is controlled between 50-120m, and its speed is controlled between 5-10m / s; the data acquisition frequency of the data recording unit is set to 1 time / second.

[0013] Furthermore, the specific testing methods for the six types of performance indicators are as follows: Detection and direction finding: Record the distance at which the device first detects the signal as the detection distance, and simultaneously record the direction finding results after the detection signal stabilizes. Calculate the direction finding accuracy by comparing the actual GPS position of the UAV with the direction finding results of the device. Protocol parsing: The distance at which the device first parses the protocol information is recorded as the protocol parsing distance, and the parsing results are compared with the actual parameters of the UAV to calculate the parsing accuracy. Broadcast monitoring: The distance at which the device first detects a broadcast signal is recorded as the broadcast monitoring distance, and the time difference between the appearance of the broadcast signal and its display on the device is calculated as the monitoring response time; Image transmission detection: The distance at which the device first acquires the image transmission picture is recorded as the image transmission distance, and the clarity of the image transmission picture is evaluated by subjective scoring; Multi-target recognition: Record the maximum number of drones that the device can recognize at the same time as the recognition count, and compare the recognition results with the actual number and model of drones to calculate the recognition accuracy. Frequency band adaptability: The detection distance and signal stability reception time percentages were statistically analyzed for each of the sub-frequency bands: 200MHz-400MHz, 900MHz, 2.4GHz, 5.8GHz, and 7GHz-8GHz.

[0014] Furthermore, the method also includes pre-test preparation and site setup and debugging steps: powering on and preheating the device under test and confirming that it is working in the 200MHz-8GHz full-band mode; fixing the device under test on a bracket with a height of ≥2m and adjusting the antenna to the optimal omnidirectional reception posture; and entering test parameters into the data recording unit, including the coordinates of the test site, the radius of each environmental area, the UAV model and communication frequency band, the preset flight route, flight altitude, and flight speed.

[0015] According to a second aspect of the present invention, a test system for a broadband radio detection device is provided, for implementing the method according to any one of the above aspects, the test system comprising: The test object interface is used to connect to a 200MHz-8GHz wideband radio detection device that is being tested. The signal source unit includes drones with at least three different communication frequency bands, covering at least three of the following frequency bands: 200MHz-400MHz, 900MHz, 2.4GHz, 5.8GHz, and 7GHz-8GHz; The control unit is the drone remote control device operated by the pilot, used to control the drone's flight according to preset routes, altitudes, and speeds; The data recording unit includes a GPS positioning device, a signal analyzer, a high-definition video recorder, and a data storage terminal, which are used to synchronously record the real-time location information of the UAV, the output data of the device under test, and the video of the test process. The testing system is configured to perform single-target flight tests and multi-target flight tests in the test locations of the first and second application environments, centered on the equipment under test, and output evaluation results of six types of performance indicators.

[0016] The beneficial effects of this invention are: Compared with the prior art, the present invention has the following beneficial effects, which are produced by the synergistic effect of various technical features: First, by nesting the "first / second application environment" and the "third-level environment area," and by setting the "test starting point to 1.5-2 times the estimated maximum detection distance," a complete capture of the actual performance boundaries of the device was achieved. This invention subdivides the test environment into two application environments: urban and suburban. At each test point, the environment is further divided into three zones (simple, complex, and very complex) centered on the equipment installation location, corresponding to increasing levels of electromagnetic interference and obstruction. The test starting point is set at 1.5-2 times the estimated maximum detection distance, allowing the UAV to traverse each zone sequentially from "undetected" to "stable detection," thus comprehensively recording performance boundary data. This combination of features overcomes the problem of incomplete data caused by arbitrarily setting the test starting point in existing technologies.

[0017] Second, by combining "full-band signal sources (at least 3 different frequency band UAVs)" with "six performance indicators," a comprehensive quantitative evaluation of the core functions of wideband radio detection equipment was achieved. The signal source covers at least three key sub-frequency bands within the 200MHz-8GHz range to avoid performance blind spots caused by narrow-band testing. Six categories of indicators (detection and direction finding, protocol parsing, broadcast monitoring, image transmission detection, multi-target recognition, and frequency band adaptability) are recorded synchronously and analyzed in correlation with multiple sets of flight test data. This allows for the quantitative evaluation of the equipment's signal processing link performance (such as the progressive difference between detection range, protocol parsing range, and image transmission range) and the performance shortcomings of each frequency band. The test results can directly guide equipment development and optimization.

[0018] Third, by combining "standardized repeated testing (3 times for a single target, 2 times for multiple targets)" with "quantification of flight parameters (altitude 50-120m, speed 5-10m / s, sampling once / second)," the repeatability and comparability of the test results are significantly improved. Quantitative parameters ensure consistency of testing conditions, while the number of repetitions and statistical calculations (mean, standard deviation) ensure data reliability. This combination of features makes test results obtained by different testers, at different times, and in different locations repeatable and traceable, laying the foundation for the promotion of standardized testing methods in the industry.

[0019] Fourth, by combining "multi-target flight testing (2-3 aircraft flying simultaneously in different directions)" with "multi-target identification indicators," the gap in existing technology for evaluating the multi-target processing capabilities of equipment is filled. In multi-target testing, spatial resolution is tested from different orientations, processing capability is tested when signals arrive simultaneously from the same starting point distance, and parallel parsing capability is tested for different models. By comparing the multi-target recognition results with single-target test indicators, the bottleneck of the device's parallel processing performance can be accurately located.

[0020] Fifth, by combining "pre-test preparation and site setup and debugging" with "synchronous recording by multiple devices in the data recording unit," the integrity and traceability of the test data were ensured. GPS positioning, signal analysis, and video recording are synchronized in time, forming a triple correspondence between "the actual location of the drone - the equipment report results - the on-site environment". This is used for performance evaluation and provides a basis for troubleshooting and solution optimization.

[0021] In summary, the various technical features of this invention form a close synergistic relationship, enabling this invention to achieve substantial progress compared with the prior art in terms of test scenario realism, test coverage comprehensiveness, test process standardization, and test result repeatability. This provides a scientific and reliable standardized test basis for the research and development, verification, production acceptance, and scenario adaptation of broadband radio detection equipment. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention 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 the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0023] Figure 1 A standardized test flowchart of the test method for a broadband radio detection device according to the present invention is shown.

[0024] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0025] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0026] The terms "first," "second," etc., used in this disclosure are for distinguishing similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented, for example, in orders other than those illustrated or described herein.

[0027] Furthermore, the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion, such that a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or apparatus.

[0028] Multiple, including two or more.

[0029] And / or, it should be understood that, for the purposes of this disclosure, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0030] This invention provides a testing method and system for broadband radio detection equipment, such as... Figure 1 As shown, the core technical solution includes the composition of the testing system, the selection of test points, standardized testing, and multi-dimensional indicator testing methods, as detailed below: 1. Composition of the testing system The test system consists of four parts: the test object, the signal source, the control unit, and the data recording unit. The functions and connections of each unit are as follows: (1) Test object: 200MHz-8GHz wideband radio detection equipment, with four core functions: detection and direction finding, protocol parsing, broadcast monitoring, and image transmission detection. The working mode is full-band coverage; (2) Signal source: Select at least 3 different models of UAVs with different communication frequency bands to cover key frequency bands within 200MHz-8GHz, including 200MHz-400MHz, 900MHz, 2.4GHz, 5.8GHz, 7GHz-8GHz, etc., to ensure that the signal source covers the mainstream communication frequency bands and models of UAVs; (3) Control unit: The drone remote control equipment is operated by a professionally trained and qualified pilot, who strictly controls the drone flight according to the preset route, altitude and speed to avoid human error; (4) Data recording unit: It consists of GPS positioning equipment, signal analyzer, high-definition video recorder, data storage terminal and analysis software, and is used to record the UAV location information, equipment output data and test process video in real time to ensure data traceability.

[0031] Unit connection relationship: The test object is set up at the test site and communicates with the data recording unit; the UAV is controlled by the control unit, and the control unit communicates synchronously with the data recording unit to realize the linkage recording of UAV flight parameters and equipment test data.

[0032] 2. Test point selection (1) Principles of site selection 1) Covering core application scenarios: Select two core application environments: urban and suburban. Set up two test sites for each environment to ensure the representativeness of the scenarios; 2) Subdividing environmental complexity: Each test point is divided into three environmental areas: simple, complex, and very complex, centered on the equipment installation point. The environmental characteristics of different areas are clearly distinguished, covering different interference intensities and degrees of obstruction. 3) Unshielded frequency band: Test locations and flight routes must avoid frequency band shielding areas to ensure normal transmission of 200MHz-8GHz signals.

[0033] (2) Specific point definition The radius of each area can be adjusted according to the maximum detection distance estimated by the equipment to ensure that the drone's flight process can fully cover the entire process from "undetected" to "stable detection".

[0034] Specifically, the purpose and significance of the environmental partitioning method of the present invention are as follows: I. Purpose (1) Quantify environmental complexity and eliminate subjective differences. Instead of defining the environment with vague scene names (such as "city square"), the environment is divided into three levels based on the equipment installation point, according to the intensity of electromagnetic interference and the degree of physical obstruction, with clearly defined radius ranges (R1=1-2km, R2=3-4km, R3=5-6km). This makes the environmental classification measurable and reproducible, and ensures the comparability of results obtained by different testers and from different locations.

[0035] (2) Construct a progressive working condition gradient and capture the complete performance boundary of a single flight. The three-level regions are arranged sequentially from weak interference / unobstructed (R1) to strong interference / high obstruction (R3). With the test starting point set at 1.5-2 times the estimated maximum detection distance, the UAV flies from outside R3 to the equipment mounting point, experiencing the entire process of "undetected → initial acquisition → unstable tracking → stable tracking" in sequence, ensuring the integrity of performance boundary data and separating the effects of distance attenuation and interference attenuation.

[0036] II. Significance (1) Establish a quantitative mapping of "environmental complexity - performance index" The system records six metrics (detection distance, resolution accuracy, number of multi-target recognitions, etc.) for the device in three different areas, forming a three-dimensional data matrix. This allows for a quantitative answer to the question: how much performance is degraded when interference increases? It provides direct data support for device R&D optimization (targeted anti-interference) and scenario-based deployment (CBD or suburbs).

[0037] (2) Improve test standardization and repeatability The numerical range of R1 to R3 was specifically optimized for the typical operating characteristics of 200MHz-8GHz wideband detection equipment (strong low-frequency diffraction but high noise, large high-frequency bandwidth but weak penetration, and the effective communication range of consumer-grade drones is concentrated in 2-6km). This customized quantification method overcomes the shortcomings of existing technologies, such as the single-scenarios and strong subjectivity.

[0038] (3) Different from the conventional "three-ring test" It is not a simple division of far / medium / near zones, but rather a combination of the expected detection distance of the equipment (usually stable detection within R1), the transition zone (R2), and the physical reality of the far boundary (no signal outside R3), to achieve a deep match between the test plan and the performance characteristics of the equipment.

[0039] In summary, this partitioning method replaces the fuzzy scene with a quantized radius, constructs an environment sequence with progressive interference gradients, ensures that the dynamic range of performance is fully captured in a single flight, and provides a standardized basis for performance-environment quantification evaluation. This is one of the core features that distinguishes this invention from the prior art.

[0040] 3. Standardized testing process The testing process consists of 7 standardized steps to ensure that the tests are repeatable and scalable, as follows: (1) Preparation before testing 1) Equipment debugging: Power on and preheat the test object to confirm that it is working in the 200MHz-8GHz full frequency band mode, and that the detection direction finding, protocol parsing, broadcast monitoring, and image transmission detection functions are enabled normally, with no frequency band shielding or functional failure. 2) Drone inspection: Check that the battery level of each drone model is ≥80% and the stability of the communication link. Use GPS positioning equipment to calibrate the initial position of the drone to ensure stable signal transmission during flight. 3) Parameter configuration: Enter the test parameters in the data recording unit, including the coordinates of the test point, the radius of each environmental area, the UAV model and communication frequency band, the preset flight route, flight altitude, flight speed, etc.

[0041] (2) Site setup and debugging Fix the test object on a dedicated bracket at the test point. The bracket height should be ≥2m to avoid ground obstruction. Adjust the antenna angle of the device to the optimal omnidirectional reception position. Establish stable communication between the data recording unit and the test object. Set the test data acquisition frequency to 1 time / second to ensure real-time recording of the device output information.

[0042] (3) Deployment and calibration of unmanned aerial vehicles The pilot carries the drone and remote control equipment to the test starting point. The initial distance between the test starting point and the test field is 1.5-2 times the estimated maximum detection distance of the equipment, ensuring that the initial position of the drone is within the undetectable range of the equipment. The coordinates of the test starting point are confirmed by the GPS positioning equipment, the data is entered into the data recording unit, and the relative position of the drone and the test field is calibrated to ensure that the flight path is a straight line pointing to the test field.

[0043] (4) Single-target flight test 1) Flight control: Select one drone and have the pilot control it to fly towards the field according to the preset parameters. The flight altitude should be controlled between 50-120m to avoid collisions with obstructions, and the flight speed should be controlled between 5-10m / s to ensure that the equipment has sufficient response time. 2) Data Recording: The data recording unit synchronously records the following information: ① Calculate the straight-line distance between the UAV and the field using the UAV's real-time GPS coordinates; ② The time and corresponding distance at which the test subject first detects the drone signal (detection distance); ③ The time and corresponding distance at which the test subject successfully parses the drone protocol information for the first time, including information such as model, manufacturer, flight altitude, and speed (protocol parsing distance). ④ The time and corresponding distance at which the test subject first detected the drone broadcast signal (broadcast monitoring distance); ⑤ The time and corresponding distance at which the test subject first acquires the drone's image transmission data (image transmission distance). ⑥ The signal strength, frequency band information, and direction finding results displayed on the test object; 3) Repeated testing: For each test point, the test is repeated 3 times in three environmental areas: simple, complex and very complex. Different models of drones are used to complete the full-band coverage test.

[0044] (5) Multi-target flight test 1) Multi-drone deployment: Select 2-3 drones of different models and deploy them at test starting points in different directions of the test site, with each starting point being the same distance from the test site. 2) Synchronous flight: The pilot simultaneously controls multiple drones to fly towards the field along a preset route, with flight parameters consistent with those of the single-target test; 3) Data recording: The data recording unit focuses on recording the test object's multi-target recognition capability indicators, such as the number of drones it can identify, target discrimination, and the maximum number of drones it can identify simultaneously; 4) Repeated testing: Each of the three environmental areas at each test point was tested twice to ensure data stability.

[0045] (6) Data processing and analysis 1) Indicator Calculation: Calculate the average and standard deviation of each test indicator to determine the degree of data dispersion; 2) Difference Analysis: Compare the differences in test indicators under different environmental complexities (simple / complex / very complex) and different frequency bands, and analyze the impact of electromagnetic interference and terrain obstruction on equipment performance; 3) Performance evaluation: Based on the average value, standard deviation and difference analysis results of the indicators, comprehensively evaluate the overall performance of the equipment in the whole frequency band and multiple scenarios.

[0046] (7) Test report generation The test report should include the following core contents: test point information, test object parameters, signal source parameters, test process records, raw test data, data processing results, performance evaluation conclusions, and scenario adaptation suggestions.

[0047] 4. Refinement of multi-dimensional indicator testing methods Example This embodiment proposes a full-process testing method for broadband radio detection equipment, and the specific implementation method is as follows: 1. Implementation Preparation (1) Test object: A certain model of 200MHz-8GHz wideband radio detection equipment was selected, which has the functions of detection and direction finding, protocol parsing, broadcast monitoring and image transmission detection. The antenna is an omnidirectional receiving antenna; (2) Signal source: Three drones were selected, namely DJI Mavic 3 (communication band 2.4GHz / 5.8GHz), ZeroTech Z11 (communication band 900MHz), and Autel EVO Max 4T drone (communication band 2.4GHz / 5.8GHz), covering the key frequency bands of consumer drones; (3) Control unit: 2 drone pilots with drone piloting qualifications, equipped with corresponding drone remote control equipment; (4) Data recording unit: GPS positioning device: positioning accuracy 0.5m, signal analyzer: frequency band 200MHz-8GHz, sampling rate 200MS / s, 4K high-definition video recorder, laptop computer; (5) Determination of test points: 1) City Location C1: Simple environment area is a city center square: unobstructed, only contains civilian WiFi signal; Complex environment area is the low-rise residential area around the square: buildings are 15-20m high and spaced 8m apart; Very complex environment area is the city CBD: buildings are 80-100m high and contain 3 communication base stations. 2) City Location C2: Simple environment area is a city stadium: open space, few stands for obstruction; Complex environment area is the old residential area around the stadium: buildings 10-15m high, scattered; Very complex environment area is the area around the high-speed rail station: including high-speed rail tracks, 2 communication base stations, strong electromagnetic interference. 3) Suburban location S1: Simple environment area is suburban farmland: open and unobstructed; Complex environment area is rural residential area: buildings are 8-12m high and spaced 15m apart; Very complex environment area is suburban industrial park: contains 5 factories, many chimneys and factory buildings obstructing the view, strong industrial electromagnetic interference. 4) Suburban location S2: Simple environment area is around the reservoir: open and unobstructed; Complex environment area is suburban village: scattered buildings, including electromagnetic interference from agricultural machinery; Very complex environment area is around the mining area: many mountains obstruct the view, including electromagnetic interference from mining equipment. (6) Setting the test starting point: Based on the estimated maximum detection distance of 5km for the test object, the test starting point is set to be 8km away from the field. One test starting point is set in each of the four directions: east, south, west and north.

[0048] 2. Implementation steps (1) Preparation before testing: Power on the test object for 30 minutes to warm it up and debug the full-band function to ensure it is normal; check that the battery power of the three UAVs is ≥85% and the communication link is stable, and calibrate the initial position through GPS; enter the test point coordinates, environmental area radius (R1=1.5km, R2=3.5km, R3=5.5km), flight altitude, flight speed and other parameters in the data recording unit; (2) Site setup and debugging: Fix the test object on the field support at a height of 2.5m, and adjust the antenna to an omnidirectional receiving position; connect the data recording unit to the test object and set the data acquisition frequency to 1 time / second; (3) UAV deployment and calibration: The pilot takes the UAV to the corresponding test starting point, confirms the starting point coordinates through GPS, enters the data recording unit, and calibrates the relative position of the UAV with the field. (4) Single target flight test: The pilot controls the DJI Mavic 3 to fly from the starting point to the field, and the data recording unit records the detection distance, protocol parsing distance and other indicators simultaneously; the test is repeated 3 times for each environmental area, and the ZeroTech Z11 and Autel EVO Max 4T drones are replaced in turn to complete the test; (5) Multi-target flight test: DJI Mavic 3, ZeroTech Z11 and Autel EVO Max 4T drones were selected and deployed at the test starting points in the east, south and north directions of point C1. The pilots controlled the three drones to fly towards the field at the same time and recorded the multi-target recognition index; the test was repeated twice for each environmental area. (6) Data processing and analysis: Calculate the average value and standard deviation of each indicator; compare the differences of indicators under different environments and frequency bands, and analyze the impact of electromagnetic interference and obstruction on equipment performance; (7) Test report generation: Organize test data and analysis results according to the standard format to form a test report that includes performance evaluation conclusions and scenario adaptation suggestions.

[0049] 3. Implementation Results Through the tests in this embodiment, comprehensive performance data of the test object was obtained across the entire frequency band of 200MHz-8GHz, in complex urban and suburban environments. Key conclusions were clarified, including the device's weak detection range in strong electromagnetic interference environments in CBDs and a maximum of three targets that can be identified simultaneously. This provides direct data support for equipment development optimization and application adaptation in urban CBD scenarios. The testing process strictly followed standardized procedures, with the deviation of results from repeated tests by different testers ≤3%, verifying the repeatability and reliability of this method.

[0050] Therefore, the technical solution of the present invention has the following advantages compared with the prior art: 1. Realistic scenario: Through the design of multiple locations and complex environments in urban and suburban areas, the actual working conditions of drone intrusion are realistically simulated, which solves the problem of existing technology scenarios being out of touch with reality. The test results can accurately predict the actual application performance of the equipment. 2. Strong comprehensive coverage: It achieves full-band coverage testing from 200MHz to 8GHz, covering five core functions such as detection and direction finding, protocol parsing, and complex scenarios with multiple targets, solving the defect of incomplete test coverage and fully reflecting the overall performance of the equipment; 3. Process standardization: The test system composition, site selection, operation steps, and data processing methods are clearly defined. The test results have good repeatability and comparability, which facilitates the promotion and application in the industry and promotes the standardization of anti-domain testing technology. 4. Significant supporting role: It provides scientific and reliable data support for equipment R&D optimization, production acceptance, and scenario-based applications, reducing safety risks caused by incomplete testing.

[0051] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0052] Through the above description of the embodiments, those skilled in the art can clearly understand that the above implementation methods can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0053] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A test method for a broadband radio detection device, characterized in that, Includes the following steps: Step 1, construct the test environment: set up at least one test point in each of the first application environment and the second application environment. At each test point, take the device under test as the center and divide it into multiple environmental areas according to the complexity of the environment. Each area has different electromagnetic interference intensity and physical shielding degree. Step 2, Deploy the test system: The test system includes a 200MHz-8GHz wideband radio detection device as the test object, at least three different communication frequency bands of drones as signal sources, a control unit operated by the pilot, and a data recording unit for synchronously recording drone position information, device output data, and test process video; Step 3, set the test starting point: Set the test starting point at a distance of 1.5 to 2 times the estimated maximum detection distance from the equipment installation point, so that the drone can cover the entire process of stable detection that has never been detected before during the flight. Step 4: Perform flight tests in the multiple environmental areas respectively: Control one or more UAVs to fly to the equipment installation point along a preset route. During the flight, record the detection distance, protocol parsing distance, broadcast monitoring distance, image transmission distance, number of multi-target recognitions, and detection performance of signals in each frequency band of the device under test. The flight tests in different environmental areas are conducted independently, and the test data in each area are recorded separately. Step 5: Evaluate test indicators: Based on the test data recorded in different environmental areas, calculate the six performance indicators of the device under test in each area: detection and direction finding, protocol parsing, broadcast monitoring, image transmission detection, multi-target recognition, and frequency band adaptability, and compare the differences in indicators between different environmental areas.

2. The method according to claim 1, characterized in that, The first application environment is an urban environment, and the second application environment is a suburban environment.

3. The method according to claim 1, characterized in that, The multiple environmental zones include a first environmental zone, a second environmental zone, and a third environmental zone arranged in ascending order of environmental complexity. The first environmental zone is an open area with no obstructions and weak electromagnetic interference. The second environmental zone is an area with building obstructions and electromagnetic interference from civilian electronic devices. The third environmental zone is an area with dense high-rise buildings, strong multi-source electromagnetic interference, or complex terrain.

4. The method according to claim 1, characterized in that, When controlling multiple drones for flight testing, select 2-3 drones of different models and deploy them at multiple test starting points at different locations and equidistant from the test site. The pilot will then control each drone to fly towards the equipment installation point in a synchronized manner. Furthermore, for each environmental area, each drone was tested three times in single-target flight tests and twice in multi-target flight tests.

5. The method according to claim 3, characterized in that, The first environmental area, the second environmental area, and the third environmental area correspond to radii R1, R2, and R3 centered on the equipment installation point, respectively, where R1 = 1-2km, R2 = 3-4km, and R3 = 5-6km, and the radii are adjusted according to the estimated maximum detection distance of the device under test.

6. The method according to claim 1, characterized in that, The drone that is the signal source covers at least three different frequency bands among 200MHz-400MHz, 900MHz, 2.4GHz, 5.8GHz, and 7GHz-8GHz.

7. The method according to claim 1, characterized in that, The drone's flight altitude is controlled between 50-120m, and its speed is controlled between 5-10m / s; the data acquisition frequency of the data recording unit is set to 1 time / second.

8. The method according to claim 1, characterized in that, The specific testing methods for the six types of performance indicators are as follows: Detection and direction finding: Record the distance at which the device first detects the signal as the detection distance, and simultaneously record the direction finding results after the detection signal stabilizes. Calculate the direction finding accuracy by comparing the actual GPS position of the UAV with the direction finding results of the device. Protocol parsing: The distance at which the device first parses the protocol information is recorded as the protocol parsing distance, and the parsing results are compared with the actual parameters of the UAV to calculate the parsing accuracy. Broadcast monitoring: The distance at which the device first detects a broadcast signal is recorded as the broadcast monitoring distance, and the time difference between the appearance of the broadcast signal and its display on the device is calculated as the monitoring response time; Image transmission detection: The distance at which the device first acquires the image transmission picture is recorded as the image transmission distance, and the clarity of the image transmission picture is evaluated by subjective scoring; Multi-target recognition: Record the maximum number of drones that the device can recognize at the same time as the recognition count, and compare the recognition results with the actual number and model of drones to calculate the recognition accuracy. Frequency band adaptability: The detection distance and signal stability reception time percentages were statistically analyzed for each of the sub-frequency bands: 200MHz-400MHz, 900MHz, 2.4GHz, 5.8GHz, and 7GHz-8GHz.

9. The method according to claim 1, characterized in that, The method also includes pre-test preparation and site setup and debugging steps: powering on and preheating the device under test and confirming that it is working in the 200MHz-8GHz full-band mode; fixing the device under test on a bracket with a height of ≥2m and adjusting the antenna to the optimal omnidirectional reception posture; and entering test parameters into the data recording unit, including the coordinates of the test site, the radius of each environmental area, the UAV model and communication frequency band, the preset flight route, flight altitude, and flight speed.

10. A test system for a broadband radio detection device, characterized in that, The testing system for implementing the method according to any one of claims 1 to 9 comprises: The test object interface is used to connect to a 200MHz-8GHz wideband radio detection device that is being tested. The signal source unit includes drones with at least three different communication frequency bands, covering at least three of the following frequency bands: 200MHz-400MHz, 900MHz, 2.4GHz, 5.8GHz, and 7GHz-8GHz; The control unit is the drone remote control device operated by the pilot, used to control the drone's flight according to preset routes, altitudes, and speeds; The data recording unit includes a GPS positioning device, a signal analyzer, a high-definition video recorder, and a data storage terminal, which are used to synchronously record the real-time location information of the UAV, the output data of the device under test, and the video of the test process. The testing system is configured to perform single-target flight tests and multi-target flight tests in the test locations of the first and second application environments, centered on the equipment under test, and output evaluation results of six types of performance indicators.

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