Memsimu feature spectrum library driven adaptive jamming strategy generation system and method

Abstract

This invention claims protection for a system and method for generating adaptive interference strategies driven by a MEMS IMU characteristic spectrum library. The aim is to precisely interfere with the normal operation of a MEMS IMU using external excitation at a specific resonant frequency. This system constructs a mainstream MEMS IMU characteristic spectrum library on the market, combining high-precision frequency sweep detection with a library-driven adaptive interference strategy to quickly lock onto the resonant frequency of the target MEMS IMU and implement effective interference. In multiple experiments, the system successfully interfered with the tested MEMS IMU devices, increasing the output error of the target devices by a hundredfold, demonstrating extremely high interference effectiveness. The core of this invention lies in the combination of a resonant frequency matching interference mechanism driven by a MEMS IMU characteristic spectrum library and a dynamic interference strategy, providing an innovative solution for interference applications in related fields.

Description

Technical Field

[0001] This invention relates to the field of microelectromechanical system (MEMS) interference technology, specifically to a MEMS IMU interference system and method based on MEMS characteristic spectrum analysis and adaptive interference strategy generation technology. Background Technology

[0002] MEMS IMUs, as microelectromechanical systems integrating accelerometers and gyroscopes, are widely used in navigation, attitude measurement, and motion tracking, such as drone flight control, attitude perception in autonomous vehicles, and motion tracking in virtual reality devices. Due to their tiny size and operating principle based on the conversion of micromechanical vibrations and electrical signals, MEMS IMUs are highly sensitive to external environmental interference. Currently, research on interference techniques for MEMS IMUs is still in its developmental stage. Existing interference methods suffer from low accuracy and poor adaptability, making it difficult to effectively interfere with MEMS IMUs of different models and operating states.

[0003] While traditional broad-spectrum jamming methods can affect the operation of MEMS IMUs to some extent, they are prone to wasting resources and may not be able to overcome the anti-jamming mechanisms of some devices. On the other hand, single-frequency jamming is difficult to adapt to the diverse resonant frequency characteristics of different MEMS IMUs. Therefore, developing a technology based on a characteristic spectrum library that can accurately identify the characteristic spectrum of a target MEMS IMU and generate an adaptive jamming strategy is of great practical significance.

[0004] A search revealed application publication number CN120811539A, entitled "Adaptive Jamming System for UAV Signals Based on Multimodal Perception," which belongs to the technical field of adaptive jamming systems for UAV signals. The multimodal perception module is used to collect multimodal signals from the UAV and extract features. The data fusion and processing module is used to fuse the features output by the multimodal perception module to achieve UAV identification and localization. The adaptive jamming strategy generation module is used to generate an adaptive jamming strategy based on the UAV identification and localization results. The jamming signal transmission module is used to transmit jamming signals according to the generated jamming strategy.

[0005] 1. Overview of the technical content of the prior art document CN120811539A

[0006] A search revealed CN120811539A, which discloses an adaptive jamming system based on multimodal perception. This system acquires and fuses signals from multiple sources, including radio frequency, visual, and acoustic sources, to achieve target identification and localization. Based on this, it generates a jamming strategy and transmits jamming signals. This solution primarily targets the jamming control of external signals such as UAV communication links and navigation / positioning.

[0007] 2. Shortcomings of the prior art and differences from the present invention

[0008] (1) The interference targets in the comparison documents are mainly the external signal interaction process of the target system. No device-level interference identification and frequency point determination method has been established for the inherent characteristic parameters of inertial sensors such as MEMS IMU. It is difficult to achieve targeted frequency point locking and interference control at the device resonance characteristics level.

[0009] (2) The comparison file relies on real-time acquisition and fusion processing of multi-mode signals, and has not established a spectrum feature database for target device feature retrieval and pre-positioning. It lacks a mechanism to narrow the scanning range based on prior data, thus resulting in redundancy in frequency point search and identification efficiency.

[0010] (3) The strategy adjustment of the comparison document is mainly based on the learning or feedback mechanism. It lacks clear quantitative indicators of interference effectiveness and calculation rules corresponding to the adjustment of parameters such as frequency and power. It is difficult to provide a reproducible quantitative basis for the power configuration and parameter tuning process.

[0011] (4) The perception process of the comparison document relies on external signal acquisition and does not have a dedicated noise suppression and signal quality enhancement mechanism in conjunction with the spectrum detection process of the target device. In complex electromagnetic environments or when the signal quality deteriorates, it may affect the stability of feature extraction and strategy generation.

[0012] 3. The technical solution adopted by the present invention to address the above-mentioned shortcomings.

[0013] (1) This invention uses MEMS IMU as the interference target, establishes a MEMS IMU characteristic spectrum library, and uses characteristic parameters such as resonant frequency and quality factor as the basis for frequency point determination and interference strategy generation, thereby realizing device-level interference frequency point locking and strategy generation for different models and states.

[0014] (2) The present invention sets up a MEMS IMU feature spectrum library module and supports updates and maintenance. During the frequency sweep detection stage, the range of frequency bands to be detected is pre-positioned by combining the library information. On this basis, the target spectrum is identified by high-precision frequency sweep detection, and the scanning step size is refined when approaching the target spectrum area to improve the frequency locking accuracy, thereby reducing the time overhead caused by invalid scanning.

[0015] (3) The present invention sets up an interference effectiveness evaluation sub-module and defines the interference effectiveness index E. At the same time, it provides a power dynamic adjustment formula and parameter adjustment rules, so that the adjustment process of interference frequency and power has a clear calculation basis and can achieve continuous adjustment and iterative optimization under the feedback of evaluation results.

[0016] (4) The present invention sets up a noise suppression submodule in the high-precision frequency sweep detection module, reduces the influence of environmental noise through adaptive filtering, and adjusts the filter gain in the fine scanning stage to improve the stability of feature spectrum extraction and resonant frequency point identification. Summary of the Invention

[0017] This invention aims to solve the problems of the prior art. It proposes an adaptive interference strategy generation system and method driven by a MEMS IMU feature spectrum library. The technical solution of this invention is as follows:

[0018] An adaptive interference strategy generation system driven by a MEMS IMU feature spectrum library, comprising:

[0019] The MEMS characteristic spectrum library module stores the model, parameters, and characteristic spectrum information of mainstream MEMS IMUs on the market, and updates them in real time. This module includes a spectrum feature extraction submodule, which automatically extracts the resonant frequency of new devices through experimental testing. and quality factor ;

[0020] A high-precision frequency sweep detection module is used to perform frequency scanning of the environment where the target MEMS is located within a frequency range of 1kHz-100kHz with an accuracy of ±1Hz, and to identify its characteristic spectrum in conjunction with a MEMS characteristic spectrum library; the high-precision frequency sweep detection module includes a noise suppression submodule, which uses an adaptive filtering algorithm to reduce environmental noise interference.

[0021] The adaptive interference strategy generation module is used to generate targeted interference strategies based on the target MEMS IMU's characteristic spectrum, operating status, and surrounding environment information, driven by the MEMS characteristic spectrum library, and can adjust the interference parameters in real time.

[0022] The interference signal transmission module is used to transmit interference signals with specific frequencies, intensities, and modulation methods according to interference strategies, and output high-power interference signals; the interference signal transmission module includes a power dynamic adjustment submodule, which supports continuous adjustment of power within the range of 1W-100W.

[0023] Furthermore, in the spectral feature extraction submodule, the frequency calculation formula is as follows:

[0024]

[0025] in, Equivalent inductance; Equivalent capacitance;

[0026] The formula for calculating the quality factor is:

[0027]

[0028] in, for .

[0029] Furthermore, the adaptive interference strategy generation module includes an interference effectiveness evaluation submodule, which defines an interference effectiveness index:

[0030]

[0031] in, This is the initial error; This is the initial error; Reference power; This represents the actual interference power.

[0032] Furthermore, the interference signal transmitting module includes a power dynamic adjustment submodule, supporting continuous power adjustment within the range of 1W-100W. The power control formula is as follows:

[0033]

[0034] in, This represents the actual interference power. Minimum effective power; This is the adjustment coefficient; The target performance index; This represents the current performance index.

[0035] Furthermore, when approaching a potential characteristic spectrum region, the high-precision frequency sweep detection module automatically reduces the scanning step size to below 0.1Hz for fine scanning, while simultaneously using a noise suppression submodule to adjust the filtering gain. Optimized to .

[0036] Furthermore, the parameter adjustment rules of the adaptive interference strategy generation module include:

[0037]

[0038]

[0039] in, Represents the new actual interference power of the j-th object. Represents the old actual interference power of the j-th object, Represents the new frequency value of the j-th object. This represents the original frequency value of the j-th object before optimization. This is an optimized offset based on library data, and .

[0040] An interference method based on any one of the systems described above, comprising the following steps:

[0041] Regularly build and update the MEMS characteristic spectrum library; use device identification technology to determine the target MEMS IMU model and location, and combine the library information to infer the characteristic spectrum range of unknown models of devices;

[0042] The high-precision frequency sweep detection module scans within the spectrum range provided by the library with set accuracy and step size to determine the precise characteristic spectrum of the target MEMS IMU; under the drive of the library, it generates an interference strategy and transmits interference signals, continuously evaluates the effect and adjusts the strategy until the requirements are met.

[0043] The advantages and beneficial effects of this invention are as follows:

[0044] This invention enables adaptive and precise interference targeting different models of MEMS IMUs, improving the effectiveness and specificity of interference operations. It adaptively adjusts based on the target device's characteristic spectrum and operating status, performing initial frequency locking using pre-stored information from a characteristic spectrum library, and monitors output error feedback in real time to prevent the interference strategy from going unresponsive to the target device. After initial interference adjustment, dynamic parameter optimization is performed based on the interference effectiveness index to further enhance the accuracy of interference control.

[0045] One of the main improvements of this invention is the introduction of a MEMS feature spectrum library driving mechanism. By pre-establishing a spectrum fingerprint library for different device models and operating states, the real-time acquired signals are analyzed in the frequency domain online and feature vectors are extracted. These vectors are then matched with the spectrum library to quickly locate the corresponding resonance characteristics. Based on this, the candidate resonance frequencies obtained from the matching are used as initial values. Local peak search and closed-loop tracking are combined to lock the resonance frequency, thereby determining the optimal interference frequency and reducing the impact of frequency drift on the interference effect. At the same time, dynamic step size adjustment and power compensation coefficients are introduced in the interference parameter calculation process. The search step size and excitation power are adaptively adjusted based on feedback such as locking error and response amplitude, so that the equivalent interference intensity of different devices under different coupling conditions remains consistent. This achieves adaptive suppression of interference deviation and improves the stability and consistency of parameter estimation.

[0046] Another improvement of the present invention is that the adaptive interference strategy generation module integrates multi-dimensional parameter adjustment functions, which can perform coordinated optimization of frequency, intensity, and modulation mode and feedback information fusion to avoid mutual interference between interference signals and environmental noise.

[0047] Another improvement of this invention is that the target spectrum is located by means of a dual verification method of high-precision frequency sweep detection and library data linkage, thereby improving the speed and accuracy of resonant frequency identification.

[0048] The innovation of this invention mainly focuses on the modules or steps defined in claims 1, 3, 4, 5, 6, and 8: claim 1 defines the system structure and functional division of the system, which consists of a MEMS feature spectrum library module, a high-precision frequency sweep detection module, an adaptive interference strategy generation module, and an interference signal transmission module; claim 3 defines the interference effectiveness evaluation sub-module and the definition of the interference effectiveness index; claim 4 defines the power dynamic adjustment sub-module and the power control formula; claim 5 defines the fine scanning step size and noise suppression processing method in the frequency sweep detection process; claim 6 defines the frequency and power parameter adjustment rules of the adaptive interference strategy generation module; and claim 8 defines the method flow for implementing interference based on the system, including spectrum library construction and updating, frequency band range determination assisted by library information, high-precision frequency sweep detection and resonant frequency locking, interference strategy generation and transmission, and continuous adjustment based on the effectiveness evaluation results.

[0049] Compared with the common full-band frequency sweep or fixed-frequency transmission methods in existing technologies, this invention reduces invalid scans by pre-establishing a MEMS IMU characteristic spectrum library and determining the range of frequency bands to be scanned based on the library information during frequency sweep detection. When approaching the target spectrum region, the scanning step size is further refined and noise suppression processing is performed to improve the accuracy of resonant frequency identification. During the interference execution process, an interference effectiveness index is introduced as an evaluation basis, and the frequency and power are dynamically adjusted according to parameter adjustment rules, so that the interference parameters can be updated with changes in equipment status and environment, thereby improving the adaptability to different types of MEMS IMUs and the stability of interference effect. Attached Figure Description

[0050] Figure 1 This is a schematic diagram of an adaptive interference strategy generation technology driven by a MEMS feature spectrum library, provided by a preferred embodiment of the present invention.

[0051] Figure 2 This is a schematic diagram of the adaptive interference strategy generation device of the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and thoroughly described below with reference to the accompanying drawings. The described embodiments are merely some embodiments of the present invention.

[0053] The technical solution of the present invention to solve the above-mentioned technical problems is:

[0054] Step 1: Construction of MEMS Feature Spectrum Library

[0055] Basic data acquisition: "Static resonance test" was performed on the gyroscope. A 1kHz-100kHz sweep frequency signal was applied through a signal generator with a fixed power of 50W. The zero-bias output of the gyroscope's X-axis was collected, and the resonant frequency and quality factor Q were extracted using FFT analysis.

[0056] Parameter calibration: The test deviation is corrected by using a temperature compensation algorithm. The same model is tested repeatedly 5 times and the average value is taken as the data in the library.

[0057] Library structure design: A MySQL database is used for storage, with fields including "model, number of gyroscope axes, and resonant frequency". "Quality factor Q, nominal zero deviation, test temperature, update time", set up a quarterly automatic update trigger mechanism.

[0058] Step 2: Frequency sweep detection and resonant frequency locking

[0059] Library matching pre-positioning: The host computer inputs the target gyroscope model, and the system retrieves its resonant frequency range (14.2kHz±1kHz) from the spectrum library, using this as the initial range for frequency sweep (replacing the traditional full-range frequency sweep).

[0060] Adaptive frequency sweep execution:

[0061] Coarse scan: frequency 13.2kHz-15.2kHz, step size 1Hz, sampling time 0.1s / point, Kalman filter algorithm is used to suppress noise, and the signal-to-noise ratio (SNR) is calculated in real time. When the SNR ≥ 20dB, fine scan is performed.

[0062] Fine scan: Centered on the peak frequency of the coarse scan amplitude, expand the range to ±0.5kHz, with a step size of 0.1Hz and a sampling time of 0.5s / point. Extract the precise peak frequency through cubic polynomial fitting, which is used as the final locked resonant frequency.

[0063] Step 3: Adaptive Interference Strategy Execution and Data Acquisition

[0064] Initial interference parameter settings: frequency , ( To determine the minimum effective power, the gyroscope's power was determined through preliminary experiments. k is the adjustment coefficient (initial k=5), and the modulation method is sine wave.

[0065] Real-time performance evaluation: The interference performance index E is calculated every 5 seconds: E = (zero offset ΔE2 after interference / zero offset ΔE1 before interference) / (actual power) / reference power ),in ;

[0066] Dynamic strategy adjustment: When E < 0.8 (insufficient performance), iterate by "fine-tuning the frequency by 0.1Hz + increasing the power by 5W"; when E > 1.2 (power redundancy), reduce the power by 5W; when the gyroscope model changes, repeat the above steps.

[0067] Data recording: Synchronously store "interference frequency, power, duration, zero bias output, and efficiency index". Each set of parameters is tested for 60 seconds and repeated 3 times to take the average value.

[0068] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions.

[0069] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0070] The above embodiments should be understood as illustrative only and not as limiting the scope of protection of the present invention. After reading the description of the present invention, those skilled in the art can make various alterations or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims

1. A MEMS IMU feature spectrum library driven adaptive jamming strategy generation system, characterized in that, Comprise: A MEMS characteristic spectrum library module is configured to store the model, parameters and characteristic spectrum information of mainstream MEMS IMUs on the market and update in real time. The MEMS characteristic spectrum library module includes a spectrum characteristic extraction submodule configured to automatically extract the resonance frequency of a new device through experimental testing and quality factor ​ High-precision frequency sweep detection module, for frequency scanning of the environment where the target MEMS IMU is located in the frequency range of 1kHz-100kHz with ±1Hz precision, combined with the MEMS characteristic spectrum library to identify its characteristic spectrum; The high-precision frequency sweep detection module contains a noise suppression submodule, which uses an adaptive filtering algorithm to reduce environmental noise interference; Adaptive interference strategy generation module, under the driving of the MEMS IMU characteristic spectrum library, according to the target MEMS IMU characteristic spectrum, working state and surrounding environment information, first match the core parameters such as resonance frequency and quality factor in the library to lock the interference frequency point, then combine the target zero offset, angular velocity working state and environmental noise level to calculate the initial interference power and signal pattern, generate targeted interference strategy, and based on the real-time feedback of interference efficiency index E, dynamically adjust the frequency (±0.1Hz level) and power (1W-100W continuously adjustable) parameters; Interference signal transmission module, for transmitting interference signals of specific frequency, intensity and modulation mode according to the interference strategy, and outputting high-power interference signals; the interference signal transmission module contains a power dynamic adjustment submodule, which supports continuous adjustment of power in the range of 1W-100W.

2. The system of claim 1, wherein, In the frequency spectrum feature extraction submodule, the frequency calculation formula is: wherein, L is an equivalent inductance; C is an equivalent capacitance; The quality factor calculation formula is: wherein is .

3. The system of claim 1, wherein, The adaptive interference strategy generation module contains an interference efficiency evaluation submodule, which defines the interference efficiency index: wherein, is the initial error; is the initial error; is the reference power; is the actual interference power.

4. The system of claim 1, wherein, The interference signal transmission module contains a power dynamic adjustment submodule, which supports continuous adjustment of power in the range of 1W-100W, and the power control formula is: wherein, is the actual interference power, is the minimum effective power; is the adjustment coefficient; is the target performance index; is the current performance index.

5. The system of claim 1, wherein, The high-precision sweep detection module automatically reduces the scanning step to less than 0.1 Hz for fine scanning when approaching the possible characteristic frequency spectrum region, and simultaneously increases the filtering gain through the noise suppression submodule optimized to .

6. The system of claim 1, wherein, The parameter adjustment rules of the adaptive interference strategy generation module include: wherein, denotes the new actual interference power of the jth object, denotes the old actual interference power of the jth object, denotes the new frequency value of the jth object, denotes the original frequency value of the jth object before optimization, is an optimization offset based on library data, and .

7. A jamming method based on the system of any of claims 1 -6, characterized by, The steps include: Periodically build and update the MEMS characteristic spectrum library; Use device recognition technology to determine the target MEMS IMU model and location, and combine library information to infer the characteristic spectrum range of unknown model devices; The high-precision frequency sweep detection module scans within the spectrum range provided by the library with the set precision and step size to determine the accurate characteristic spectrum of the target MEMS IMU; generate interference strategy and transmit interference signals under the driving of the library, continuously evaluate the effect and adjust the strategy until the requirements are met.

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