Wireless terminal detection equipment and detection method
By constructing a dynamic radio frequency feature matrix using a high-performance radio frequency front-end and signal processing and analysis unit arranged in a two-dimensional array, the accuracy and power consumption problems of wireless terminal detection in the prior art are solved, and high-precision, low-power terminal identification and collaborative detection are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-15
- Publication Date
- 2026-04-07
AI Technical Summary
Existing technologies lack wireless terminal detection solutions capable of high-dimensional feature extraction at the physical layer and possessing dynamic learning and collaborative capabilities, and it is difficult to balance the requirements of power consumption and accuracy.
The system employs M×N high-performance radio frequency front-ends arranged in a two-dimensional array to synchronously acquire radio frequency signals. It combines these signals with a signal processing and analysis unit to perform spatiotemporal correlation analysis, constructs a dynamic radio frequency feature matrix, and achieves high-precision identification by matching it with a radio frequency feature template library through a terminal identification unit. It also features a low-power mode and a collaborative control interface for data exchange.
It achieves high-precision wireless terminal identification, effectively resists multipath interference and signal spoofing, has self-learning capabilities, and is suitable for wide-area coverage and intersection positioning in complex environments.
Smart Images
Figure CN121815270A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of terminal detection, in particular to a wireless terminal detection device and method. BACKGROUND
[0002] With the popularity of wireless communication terminals, there is an increasing demand for real-time detection, identification and behavior monitoring of wireless terminals (such as mobile phones, Internet of Things devices, etc.) in a region in scenarios such as public safety, regional control, intelligent security, etc.
[0003] In the prior art, for some places, there is a certain need for confidentiality, so after entering the interior of the space, real-time detection, identification and behavior monitoring of wireless terminals are required, therefore, there is an urgent need for a wireless terminal detection scheme that can extract high-dimensional features from the physical layer, has dynamic learning and collaboration capabilities, and takes into account power consumption and precision. SUMMARY
[0004] The purpose of the present application is to solve the shortcomings in the prior art and provide a wireless terminal detection device and method.
[0005] In a first aspect, the present application provides a wireless terminal detection device, comprising:
[0006] A radio frequency sensing unit, comprising MxN high-performance radio frequency front ends arranged in a two-dimensional array, for synchronously collecting radio frequency signals in a target space from multiple single observation positions and extracting physical layer channel features;
[0007] A signal processing and analysis unit connected to the radio frequency sensing unit, for performing spatio-temporal correlation analysis on the physical layer channel features and constructing a dynamic radio frequency feature matrix of the terminal;
[0008] A terminal identification unit connected to the signal processing and analysis unit, with a built-in radio frequency feature template library, for matching the dynamic radio frequency feature matrix with known terminal radio frequency feature templates in the radio frequency feature template library and calculating the confidence thereof;
[0009] A terminal entry unit for collecting high-fidelity radio frequency feature samples of the terminal to generate or update the radio frequency feature template library after obtaining user authorization;
[0010] A cooperative control interface for communicating with at least one wireless terminal detection device of the same or different structure to exchange tracking states or feature data of the terminal;
[0011] The terminal entry unit collects high-fidelity samples to update the template library after obtaining authorization, realizes device self-learning, synchronously collects radio frequency signals in the target space through MxN high-performance radio frequency front ends arranged in a two-dimensional array, extracts physical layer channel characteristics such as signal angle of arrival, power spectral density, and channel impulse response, then the signal processing analysis unit performs spatio-temporal correlation analysis and clustering tracking on these characteristics, separates the signal streams of different terminals, and constructs a dynamic radio frequency characteristic matrix, the terminal recognition unit matches the matrix with the built-in radio frequency characteristic template library, outputs the recognition result and confidence, and the cooperative control interface supports multiple device networking to exchange data, so that the device has high-precision hardware-level recognition capability, can effectively resist multipath interference and signal camouflage, and can record new terminals according to changes through recording, and can realize wide-area coverage and intersection positioning through multi-device cooperation.
[0012] Preferably, it further comprises:
[0013] The physical layer channel characteristics include but are not limited to signal angle of arrival, instantaneous power spectral density, and channel impulse response fragments.
[0014] The dynamic radio frequency characteristic matrix includes a multi-dimensional feature vector of the terminal in a small time window and its spatio-temporal evolution trajectory.
[0015] Preferably, it further comprises:
[0016] The power consumption control unit is used to control part of the high-performance radio frequency front ends to enter a low-power listening mode when no terminal motion is detected or all terminals are in a stable recognition state, and to wake up all the high-performance radio frequency front ends when a new radio frequency event is detected.
[0017] In a second aspect, a detection method of a wireless terminal detection device is provided, comprising the following steps:
[0018] Step one: after obtaining user authorization, execute the authorized terminal feature entry process through the terminal entry unit to generate or update the terminal radio frequency feature templates in the radio frequency feature template library, and send the updated radio frequency feature template library to the terminal recognition unit;
[0019] Step two: synchronously collect signals of all radio frequency radiation sources in the target space through the radio frequency sensing unit, and extract the original physical layer characteristics of each radiation source, then send the original physical layer characteristics to the signal processing analysis unit;
[0020] Step three: perform clustering and tracking on the extracted original physical layer characteristics through the signal processing analysis unit, separate the multi-dimensional feature streams belonging to different terminals, and correlate and smooth the multi-dimensional feature stream of each terminal in the time dimension to generate its dynamic radio frequency characteristic matrix;
[0021] Step four: similarity matching of the dynamic radio frequency feature matrix and the radio frequency feature template library by the terminal identification unit, if matching is successful, output terminal identification and confidence, if it is an unknown terminal, trigger a warning.
[0022] Preferably, the step one specifically includes:
[0023] After obtaining user authorization and confirming that the terminal is in an interactive state, starting the terminal entry unit;
[0024] Through the terminal entry unit and the terminal, a set of or multiple sets of high-fidelity radio frequency feature samples are collected through close-range signal interaction of a preset protocol;
[0025] The collected high-fidelity radio frequency feature samples are processed to generate one or more reference radio frequency feature templates representing the stable hardware features of the terminal;
[0026] The generated reference radio frequency feature templates are associated with the terminal identification specified by the user and stored in the radio frequency feature template library.
[0027] Preferably, the step three specifically includes:
[0028] The instantaneous power spectrum density of each high-performance radio frequency front end is synthesized in the array dimension to form a spatial power spectrum;
[0029] The channel impulse response segment of each high-performance radio frequency front end is coherently synthesized and denoised to extract a steady-state response component reflecting the hardware characteristics of the terminal;
[0030] The spatial power spectrum, the steady-state response component, and the motion trajectory vector composed of the angle of arrival sequence are associated and encoded in a unified time sequence framework to form the dynamic radio frequency feature matrix.
[0031] Preferably, in the step three, separating out the multi-dimensional feature flow belonging to different physical terminals specifically includes:
[0032] When the motion trajectory of a certain multi-dimensional feature flow violates the physical space constraint or its feature matrix presents non-causal jump in time, it is determined as a multi-path phantom feature flow and is removed;
[0033] When a certain multi-dimensional feature flow is identified as a static signal source with a fixed position in the spatial power spectrum and no change in the feature matrix, it is determined as periodic background noise and is suppressed.
[0034] Preferably, it further includes:
[0035] Step 5: When the terminal identification unit detects that the dynamic radio frequency feature matrix of a terminal changes abruptly in a short period of time, and the feature after the change is highly similar to the feature of another known terminal in the template library, the terminal is marked as a potential spoofed terminal.
[0036] Generate and report the mutation event log for the terminal, including snapshots of the feature matrix before and after the mutation.
[0037] Preferably, it further includes:
[0038] Step 6: When no terminal movement is detected in the target space or all terminals are in a stable identification state, control a part of the high-performance radio frequency front-end of the radio frequency sensing unit to enter a low-power listening mode.
[0039] When the low-power unit detects a new RF event or characteristic change, it immediately wakes up all the high-performance RF front-ends and puts them into full-function operation mode.
[0040] Preferably, step four further includes:
[0041] When direct matching through the radio frequency feature matrix is not possible, analyze the radio frequency behavior pattern of the terminal, including but not limited to its transmit / sleep cycle, signal scanning pattern, and association probing behavior with known networks;
[0042] The behavior pattern is matched with the behavior profiles of each terminal stored in the radio frequency feature template library as an auxiliary identification basis, and the identification result with behavior matching annotations is output.
[0043] Compared with the prior art, the present invention has the following beneficial effects:
[0044] By extracting multi-dimensional physical layer features using a two-dimensional radio frequency array and combining spatiotemporal analysis with template matching, the accuracy of terminal identification is significantly improved, and multipath interference is effectively resisted. Attached Figure Description
[0045] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation
[0046] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.
[0047] Example 1
[0048] Structure of wireless terminal testing equipment
[0049] The wireless terminal detection device provided in this embodiment includes six modules: a radio frequency sensing unit and a signal processing and analysis unit, a terminal identification unit, a terminal input unit, a collaborative control interface, and a power consumption control unit.
[0050] The radio frequency sensing unit consists of a two-dimensional planar array of M×N high-performance radio frequency front-ends. Each high-performance radio frequency front-end supports multi-band scanning and high dynamic range sampling, enabling real-time acquisition of radio frequency signals in the target space, and acquisition of physical layer channel characteristics such as the terminal's angle of arrival (AoA), instantaneous power spectral density (PSD), and channel impulse response (CIR) segments.
[0051] The signal processing and analysis unit is used to receive the raw feature data from the radio frequency sensing unit. It is implemented using a multi-core DSP or FPGA and can perform time alignment and calibration of physical layer channel features from different high-performance radio frequency front-ends. Then, it divides the multidimensional feature stream into different terminal clusters through clustering algorithms (such as DBSCAN or spectral clustering), extracts their multidimensional feature vectors within a small time window, and constructs a spatiotemporal evolution trajectory along the time axis. Finally, it generates a dynamic radio frequency feature matrix, which can characterize the hardware fingerprint, motion pattern and signal behavior of the terminal.
[0052] The terminal identification unit has a built-in radio frequency feature template library, which can store the terminal's reference feature templates and their associated identifiers (such as device model, user ID, etc.). When working, it can calculate the similarity between the dynamic radio frequency feature matrix and each template, and output the matching result and confidence level based on the calculation result. If the matching fails, the corresponding terminal will be marked as a key terminal and an alert will be triggered.
[0053] The terminal input unit can be activated after obtaining explicit authorization from the user. It interacts with the terminal at close range with low interference through a preset protocol to collect one or more sets of high-fidelity radio frequency feature samples. After noise reduction and feature extraction, it generates radio frequency feature samples corresponding to the terminal and stores them in the radio frequency feature template library. When the collected radio frequency feature sample is a sample that exists in the radio frequency feature template library, no additional storage is performed. When the collected radio frequency feature sample is a sample that exists in the radio frequency feature template library, but is different from the existing sample, the new radio frequency feature sample replaces the existing sample to update the sample. When the collected radio frequency feature sample does not exist in the radio frequency feature template library, the collected radio frequency feature sample is entered into the radio frequency feature template library to generate a new sample in the radio frequency feature template library.
[0054] The collaborative control interface supports wired or wireless communication protocols, which are used to exchange terminal tracking status, feature matrix fragments or alarm information with other detection devices in the area, so as to realize multi-node collaborative positioning and trajectory fusion.
[0055] The power consumption control unit is used to monitor the motion status and recognition stability of the terminals. When all terminals are stationary and the recognition confidence level is consistently higher than the threshold, the high-performance RF front-end of the control unit enters a low-power monitoring mode. If any front-end detects a new RF event or feature mutation, all high-performance RF front-ends are immediately woken up to resume normal operation.
[0056] Example 2
[0057] Wireless terminal detection method and process
[0058] like Figure 1 As shown, the detection method provided in this embodiment includes the following steps:
[0059] Step 1: Authorized Terminal Feature Entry
[0060] Users initiate an input request through the device interface or near-field sensing. After the device verifies and authorizes the user, the input process is initiated. The terminal input unit establishes a near-field communication link with the terminal, collects multiple sets of radio frequency signals according to the preset interaction protocol, preprocesses the collected signals, extracts steady-state hardware features, generates one or more reference feature templates, binds them to the terminal identifier input by the user, and stores them in the radio frequency feature template library. The updated template library is then synchronized to the terminal identification unit.
[0061] Step 2: Synchronous Acquisition and Feature Extraction of Radio Frequency Signals
[0062] All high-performance RF front-ends of the RF sensing unit are sampled synchronously, and the signal angle of arrival (by phase interferometry or MUSIC algorithm) and instantaneous power spectral density (by short-time Fourier transform) and channel impulse response segments (by pilot correlation or least squares estimation) are calculated in real time. The extracted raw features are packaged by timestamp and sent to the signal processing and analysis unit.
[0063] Step 3: Feature Flow Clustering and Dynamic Feature Matrix Construction
[0064] The instantaneous power spectra of each high-performance RF front-end are synthesized into a spatial power spectrum in the array dimension. The CIR segments are coherently synthesized to extract the steady-state response components that reflect the characteristics of the terminal hardware. If the motion trajectory of a certain feature flow exhibits a non-causal jump within a continuous time window (such as a sudden change in position exceeding the physical velocity limit), it is determined to be a phantom flow caused by multipath and is removed.
[0065] Identify signal sources with fixed positions on the spatial power spectrum and unchanging characteristics over time, determine them as periodic background noise (such as Wi-Fi router beacons), and perform spectral subtraction or mark them as ignored;
[0066] For each retained terminal feature stream, its angle of arrival sequence, spatial power spectrum features, steady-state response components, etc. are aligned by time and encoded into a dynamic radio frequency feature matrix. Each row of the matrix corresponds to a multi-dimensional feature vector of a time slice.
[0067] Step 4: Terminal Identification and Output
[0068] The terminal identification unit receives the dynamic radio frequency feature matrix and compares it with the features in the radio frequency feature template library. If the highest similarity reaches the set threshold, the corresponding terminal identifier and confidence level are output. Otherwise, it is marked, for example, by displaying an unidentified device on the interface and triggering an alert to alert staff.
[0069] Step 5: Detection of Potentially Disguised Terminals
[0070] If the system detects a sudden change in the dynamic radio frequency feature matrix of a terminal within a short period of time, such as significant changes in some features within a short period of time, and the features after the change are highly similar to another known terminal in the template library, then it is determined that the terminal may have performed hardware spoofing or firmware tampering. The system automatically generates a change event log, records feature snapshots before and after the change, and reports it to the monitoring center.
[0071] Step Six: Intelligent Power Consumption Switching
[0072] If no terminal movement is detected within several consecutive detection cycles and all identification results are normal, the power consumption control unit controls some high-performance RF front-ends in the array to enter a low-power monitoring mode. The monitoring unit only maintains basic energy detection. Once a high-performance RF front-end that has been working normally detects a sudden change in signal energy or the appearance of a new feature, it immediately wakes up all high-performance RF front-ends and restores full-function detection.
[0073] The present invention, through the above-mentioned device and method, achieves high-precision, low-power, and collaborative detection and identification of wireless terminals. It is particularly suitable for application scenarios with high security requirements, high terminal density, and complex environments, and has significant practical value and promotion prospects.
[0074] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.
Claims
1. A wireless terminal testing device, characterized in that, include: The radio frequency sensing unit includes M×N high-performance radio frequency front-ends arranged in a two-dimensional array, which are used to synchronously acquire radio frequency signals in the target space from multiple single observation positions and extract physical layer channel features. The signal processing and analysis unit, connected to the radio frequency sensing unit, is used to perform spatiotemporal correlation analysis on the physical layer channel characteristics and construct the dynamic radio frequency feature matrix of the terminal. The terminal identification unit is connected to the signal processing and analysis unit and has a built-in radio frequency feature template library. It is used to match the dynamic radio frequency feature matrix with the known terminal radio frequency feature templates in the radio frequency feature template library and calculate their confidence level. The terminal input unit is used to collect high-fidelity radio frequency feature samples of the terminal after obtaining user authorization, so as to generate or update the radio frequency feature template library. The cooperative control interface is used to communicate with at least one homogeneous or heterogeneous wireless terminal detection device to exchange terminal tracking status or feature data.
2. The wireless terminal detection device according to claim 1, characterized in that, Also includes: The physical layer channel characteristics include, but are not limited to, signal angle of arrival, instantaneous power spectral density, and channel impulse response segments; The dynamic radio frequency feature matrix includes the terminal's multidimensional feature vectors and their spatiotemporal evolution trajectory within a small time window.
3. The wireless terminal detection device according to claim 2, characterized in that, Also includes: The power consumption control unit is used to control some of the high-performance radio frequency front-ends to enter a low-power listening mode when no terminal motion is detected or all terminals are in a stable identification state, and to wake up all of the high-performance radio frequency front-ends when a new radio frequency event is detected.
4. A detection method for a wireless terminal detection device, applicable to the wireless terminal detection device as described in claim 3, characterized in that, Includes the following steps: Step 1: After obtaining user authorization, the authorized terminal feature input process is executed through the terminal input unit to generate or update the terminal radio frequency feature template in the radio frequency feature template library, and the updated radio frequency feature template library is sent to the terminal identification unit. Step 2: The radio frequency sensing unit synchronously acquires signals from all radio frequency radiation sources in the target space and extracts the original physical layer features of each radiation source. Then, the original physical layer features are sent to the signal processing and analysis unit. Step 3: The signal processing and analysis unit clusters and tracks the extracted original physical layer features to separate the multidimensional feature streams belonging to different terminals, and correlates and smooths the multidimensional feature streams of each terminal in the time dimension to generate its dynamic radio frequency feature matrix. Step 4: The terminal identification unit performs similarity matching between the dynamic radio frequency feature matrix and the radio frequency feature template library. If the match is successful, the terminal identifier and confidence level are output. If it is an unknown terminal, a marking warning is triggered.
5. The detection method of the wireless terminal detection device according to claim 4, characterized in that, Step one specifically includes: After obtaining user authorization and confirming that the terminal is in an interactive state, the terminal input unit is activated; The terminal input unit interacts with the terminal via a preset protocol at close range to collect one or more sets of high-fidelity radio frequency feature samples. The collected high-fidelity radio frequency feature samples are processed to generate one or more reference radio frequency feature templates that characterize the stable hardware features of the terminal. The generated reference radio frequency feature template is associated with the user-specified terminal identifier and stored in the radio frequency feature template library.
6. The detection method of the wireless terminal detection device according to claim 4, characterized in that, Step three specifically includes: The instantaneous power spectral density extracted from each of the high-performance RF front-ends is synthesized in the array dimension to form a spatial power spectrum; The channel impulse response segments of each high-performance RF front-end are coherently synthesized and denoised to extract the steady-state response components that reflect the characteristics of the terminal hardware. The spatial power spectrum, the steady-state response components, and the motion trajectory vector composed of the angle of arrival sequence are correlated and encoded under a unified temporal framework to form the dynamic radio frequency feature matrix.
7. The detection method of the wireless terminal detection device according to claim 4, characterized in that, In step three, separating the multidimensional feature streams belonging to different physical terminals specifically includes: When a multi-dimensional feature flow is found to have a motion trajectory that violates physical space constraints or a non-causal jump in its feature matrix over time, it is identified as a multipath phantom feature flow and is removed. When a static signal source with a fixed position on the spatial power spectrum and no change in the feature matrix is identified as a multidimensional feature flow, it is determined to be periodic background noise and suppressed.
8. The detection method of the wireless terminal detection device according to claim 4, characterized in that, Also includes: Step 5: When the terminal identification unit detects that the dynamic radio frequency feature matrix of a terminal changes abruptly in a short period of time, and the feature after the change is highly similar to the feature of another known terminal in the template library, the terminal is marked as a potential spoofed terminal. Generate and report the mutation event log for the terminal, including snapshots of the feature matrix before and after the mutation.
9. The detection method of the wireless terminal detection device according to claim 4, characterized in that, Also includes: Step 6: When no terminal movement is detected in the target space or all terminals are in a stable identification state, control a part of the high-performance radio frequency front-end of the radio frequency sensing unit to enter a low-power listening mode. When the low-power unit detects a new RF event or characteristic change, it immediately wakes up all the high-performance RF front-ends and puts them into full-function operation mode.
10. The detection method of the wireless terminal detection device according to claim 4, characterized in that, Step four also includes: When direct matching through the radio frequency feature matrix is not possible, analyze the radio frequency behavior pattern of the terminal, including but not limited to its transmit / sleep cycle, signal scanning pattern, and association probing behavior with known networks; The behavior pattern is matched with the behavior profiles of each terminal stored in the radio frequency feature template library as an auxiliary identification basis, and the identification result with behavior matching annotations is output.