397 results about "Interference elimination" patented technology

The invention discloses a low-delay adaptive wireless audio transmission method, and relates to the technical field of audio data transmission. The invention relates to a low-delay self-adaptive wireless audio transmission method, which comprises the steps of audio signal acquisition and coding, priority scheduling and time slot allocation, wireless channel transmission and interference resistance, congestion control algorithm optimization, decoding and reconstruction of a receiving end, and dynamic buffer management and delay optimization. According to the method, low-delay transmission of audio signals is ensured through a plurality of technologies such as priority scheduling, time slot allocation, dynamic buffer management and adaptive coding, the stability of audio transmission is remarkably improved by combining congestion control, forward error correction (FEC) and adaptive interference elimination technologies, and even in a complex wireless environment, the stability of the audio transmission is greatly improved. And the audio signal can keep high quality, and the transmission stability is ensured by quickly responding to channel change, eliminating interference, correcting errors, reducing packet loss and retransmission.

The invention discloses a GIS partial discharge intelligent diagnosis system and method based on one-dimensional ultrahigh frequency signal analysis, and relates to the technical field of power electrical equipment intelligent monitoring, and the system comprises a signal collection and preprocessing module which is used for collecting ultrahigh frequency signals of GIS equipment and obtaining preprocessed signal data through a dynamic threshold algorithm; the discharge initial judgment module is used for performing multi-dimensional sequential judgment to eliminate interference discharge data so as to obtain effective discharge signal data; the feature extraction module is used for performing time domain kurtosis and pulse width analysis, frequency domain energy distribution analysis and time-frequency domain wavelet entropy calculation based on the multi-dimensional features of GIS partial discharge, and generating an optimized feature subset; and the type identification module is used for identifying the partial discharge type by using the integrated learning model to obtain a diagnosis result. According to the invention, the problem of unstable recognition accuracy caused by insufficient signal preprocessing, single feature representation and single classification algorithm in the prior art is solved.

The invention relates to a satellite-to-ground network adaptive image semantic communication method based on an NOMA technology, and the method comprises the following steps: S1, building a satellite-to-ground semantic communication frame integrated with the NOMA technology: carrying out the power superposition and serial interference elimination of different user transmission contents through the NOMA technology, a coding and decoding process is optimized through deep joint source channel coding based on hierarchical vision using a shift window; s2, establishing an adaptive semantic communication model: dynamically adjusting coding parameters based on a target bandwidth ratio and a signal-to-noise ratio of a satellite-ground channel; s3, proposing a dynamic weight adjustment algorithm: optimizing model convergence speed and transmission performance tradeoff under different channel conditions; and S4, designing a feature selection module: performing priority ranking on the image features, and selectively transmitting important features according to bandwidth resources. According to the method, the adaptive semantic communication model (ASeC-NOMA) which can be dynamically adjusted according to the target bandwidth ratio and the signal-to-noise ratio is constructed, and a large number of model storage parameters are saved while the transmission performance is ensured.

The invention discloses an unmanned aerial vehicle anti-interference communication link control method based on heterogeneous network convergence, and relates to the technical field of unmanned aerial vehicle anti-interference communication, and the method comprises the steps: S1, interference sensing and network state modeling, S2, intelligent link decision making, S3, spectrum avoidance and resource scheduling, S4, distributed feedback and cooperative anti-interference, and S5, heterogeneous network cooperative relay. S6, resource allocation and energy efficiency optimization; S7, performance evaluation and parameter optimization; and S8, multi-link redundancy backup. According to the invention, through S1, S2 and S7, a sensing, decision-making and optimization closed-loop system is constructed, LSTM interference prediction and three-dimensional network modeling in S1 provide accurate input, a dual deep Q network in S2 realizes low-delay link decision-making, and KPI evaluation and genetic algorithm dynamic parameter adjustment in S7, the signal-to-interference ratio is improved, the anti-interference adaptability is improved compared with a traditional passive response mode, and the method has the advantages that the method is simple and convenient to operate, and the cost is low. The creative breakthrough that interference does not reach strategy precedence is realized; through S3 and S4, an active anti-interference mechanism is formed, and compared with a single avoidance or suppression method, the interference elimination efficiency is improved.

The invention relates to the technical field of neural networks and machine learning, in particular to a lithium ore multi-component content prediction and detection optimization system based on machine learning. The system comprises a multispectral data fusion and preprocessing part, a correction and interference elimination part and a machine learning model prediction part. The multispectral data fusion and preprocessing part is used for performing fusion and normalization processing on the first light intensity signal and the second light intensity signal to obtain a fusion signal; the correction and interference elimination part is used for performing spectral line overlapping interference elimination processing on the fusion signal to obtain an interference elimination signal, and performing matrix effect correction on the interference elimination signal to obtain a correction signal; the machine learning model prediction part is used for performing feature extraction on the correction signal by using a preset machine learning model to obtain features; based on the feature response function, an initial content of each element is predicted. According to the invention, high-precision and intelligent detection of multiple components of the lithium ore is realized.

The invention discloses a signal processing method based on deep learning and adaptive filtering fusion. The method comprises the following steps: S1, collecting and preprocessing an original signal; s2, carrying out adaptive filtering; s3, constructing a deep neural network model to perform deep feature extraction on the filtered signal; s4, signal fusion and interference elimination are carried out; S5, a real-time closed-loop feedback mechanism is established, and dynamic parameter adjustment is carried out; s6, performing an end-to-end dynamic optimization process; s7, performing iterative updating and high-confidence sample judgment; and S8, processing a newly collected signal by using the trained adaptive filtering module and the deep neural network model, and generating a reconstructed signal through signal fusion. According to the method, through effective fusion of adaptive filtering and the deep neural network, accurate suppression and high-dimensional feature extraction of a multipath effect, nonlinear noise and transient interference in a complex wireless signal are realized, so that the precision, robustness and real-time performance of signal processing are remarkably improved.

The invention relates to the technical field of learning methods, in particular to an OPGW heterogeneous detection method based on AI interference elimination, which comprises the following steps: acquiring a vibration signal segment, dividing mutation fragments, arranging channel sequence, comparing direction extension, extracting a direction change homing path segment, analyzing an offset trend positioning response area, and extracting fluctuation trend verification interruption. And combining state feature merging numbers, identifying a jump sequence and analyzing a switching relation, and obtaining disturbance boundary features. According to the method, a path chain is constructed through sudden change signal position division and a channel response sequence, a disturbance propagation starting point and an extension direction can be subjected to structured expression, a path segment corresponding to continuous direction change supports limitation of a response interval, a fluctuation trend and direction offset are combined to form segmented reference, and identification of characteristics of boundary evolution along with time is assisted; the hopping sequence in the tail end signal is used for restoring the disturbance boundary and enhancing the trajectory separation and feature retention capability of the multipath interference behavior in the differentiated environment.

The invention discloses an intelligent identification system and method based on time-frequency feature fusion and adaptive classification, and relates to the technical field of power equipment state monitoring. Comprising an ultrahigh frequency signal processing unit, a filter amplification unit, an analog-to-digital conversion unit, a digital signal preprocessing unit, a multi-dimensional feature extraction unit, a discharge phase analysis unit, a classification model optimization unit, an interference elimination unit, a defect type identification and diagnosis unit and a discharge source positioning unit. The ultrahigh frequency signal processing unit is used for collecting and transmitting partial discharge weak electromagnetic signals, and the filtering and amplifying unit is used for filtering, eliminating interference and amplifying signal amplitude. Through the ultrahigh frequency signal processing unit, the filtering and amplifying unit and the analog-to-digital conversion unit, weak electromagnetic signals are accurately collected, interference is efficiently filtered out, the signals are amplified and converted, the accuracy and effectiveness of the detection process are improved, and the misjudgment risk is reduced through pulse segmentation and normalization, multi-dimensional feature extraction and classification model establishment and optimization.

The invention relates to the technical field of satellite transmission service or radio transmission service of a space station or an airborne station, in particular to a narrow-band interference elimination method based on spread spectrum communication applied to satellite transmission service, which comprises the following steps: S1, performing FFT (Fast Fourier Transform) operation on a digital baseband signal, converting the digital baseband signal into a frequency domain signal, determining a judgment threshold according to the background noise power, and judging a component greater than the threshold as an interference signal; s2, based on a sequential return-to-zero algorithm or a sequential pruning algorithm, frequency points with interference signal components in each frequency domain under the AWGN condition are cut off; s3, using windowed FFT operation, and popularizing the application under the AWGN condition in the S2 to the application under the narrowband interference condition; and S4, reducing the frequency domain signal after the interference signal component frequency points are removed into a time domain signal by adopting IFFT (Inverse Fast Fourier Transform) operation. The method has a good application prospect in the fields of manufacturing of space-based satellite systems and other spacecrafts, manufacturing of satellite antennas and other communication system equipment, satellite transmission services and the like.

The invention discloses an interference elimination method for a same-time and same-frequency time synchronization system, which is suitable for a microwave time synchronization networking system and is characterized in that radio frequency domain self-interference cancellation is carried out before a signal received by a receiving end of a time synchronization networking node from an antenna enters a low noise amplifier; the introduced offset signal is obtained by coupling a part of a transmitting signal before the transmitting end enters an antenna from the transmitting end of the node, and correcting amplitude, time delay and phase through radio frequency reconstruction. The invention further discloses a same-time and same-frequency time synchronization system, the time synchronization networking node comprises a transmitting end, and a receiving end is connected to a receiving and transmitting antenna through a circulator; and a radio frequency self-interference suppression module is arranged between a first port of the circulator connected with the output of the transmitting end and a third port of the circulator connected with the input of the receiving end to sample a radio frequency signal output by the transmitting end and then realize radio frequency reconstruction, so as to generate an offset signal to be coupled to the input of the receiving end.

The invention relates to the technical field of wireless communication, in particular to a communication and rate optimization method and system of an ARIS-assisted ISAC-NOMA system. Channel fading gains from a user terminal to an ARIS node and from the ARIS node to a DFRC-BS node, a steering vector when a DFRC-BS node antenna array sends a sensing signal and a complex path loss coefficient of the sensing signal are obtained, the DFRC-BS node sends the sensing signal, the user terminal sends an uplink communication signal, and the DFRC-BS node receives a sensing target echo signal and a communication signal at the same time; a continuous interference elimination technology is adopted for the communication sensing mixed signals, and the communication sum rate and the sensing signal-to-noise ratio are calculated; and iteratively solving an optimization problem by using an alternating optimization algorithm to obtain the maximum communication and rate of the system. Compared with the traditional method, the method provided by the invention can realize higher communication rate and better sensing performance in different scenes, and has higher practical application value.

The invention discloses a random interference elimination method and system applied to a human body physiological information monitoring radar. The method comprises the steps that a millimeter wave radar is used for transmitting a frequency modulation continuous wave signal to a human body target to obtain an echo signal; obtaining a maximum signal intensity value and breathing waveform energy according to the echo signal; obtaining an intermediate frequency digital signal according to the echo signal, and obtaining an estimated respiration value and an estimated heartbeat value through spectrum estimation; calculating the confidence coefficient of the estimated respiration value and the estimated heartbeat value, setting a confidence coefficient index threshold value, comparing the calculated confidence coefficient with the confidence coefficient index threshold value, and taking a comparison result as a preprocessed heartbeat value and a preprocessed respiration value; the maximum signal intensity value and the breathing waveform energy are used for filtering the preprocessed signals, a sudden change threshold value is set according to human physiological priori knowledge, abnormal sudden change data are filtered out, filtering processing is conducted on the filtered data through a filter, the final heartbeat value and the final breathing value are obtained, and the method is rapid and accurate.

The invention relates to a data transmission cross-protocol transparent coexistence method based on pre-coding. The method comprises the following steps: pre-coding a Wi-Fi (Wireless Fidelity) end and a ZigBee end respectively; wherein the step of pre-coding the Wi-Fi end comprises the step of constructing a target function about a pre-coding vector based on an error between a constellation point of a receiving end and a constellation point of a sending end; optimizing the objective function by adopting a BCR framework to obtain an optimized objective function; and solving the optimized objective function to obtain an optimal precoding vector. The step of pre-coding the ZigBee end comprises the substeps of coding a transmission symbol of the sending end based on an amplitude adjustment parameter and an offset to obtain a coded symbol; the signal received by the receiving end is the signal obtained by superimposing the noise on the coded symbol. According to the method, different precoding strategies are matched for the heterogeneous equipment based on the transmission signal characteristics of the heterogeneous equipment, cross-protocol interference elimination is realized, and the problem of applicability of a traditional cross-protocol interference elimination method is solved.

The invention provides a GIS online monitoring equipment partial discharge type identification capability detection method and device. The method comprises the following steps: acquiring ultrahigh-frequency real partial discharge signals with a plurality of pulses of gas insulated switchgear (GIS) under different partial discharge types, and obtaining the ultrahigh-frequency real partial discharge signals after interference elimination; processing the ultrahigh frequency real partial discharge signal after interference elimination, and generating a phase correlation partial discharge PRPD map of the ultrahigh frequency real partial discharge signal; reconstructing the ultrahigh-frequency real partial discharge signal after interference elimination by using the generated PRPD atlas of the ultrahigh-frequency real partial discharge signal to obtain a reconstructed simulation construction signal; constructing a partial discharge type identification capability detection system of the online monitoring device by using the reconstructed simulation construction signal; and determining a detection conclusion of the partial discharge type identification capability of the on-line monitoring device by using the reconstructed simulation construction signal and the partial discharge type identification capability detection system of the on-line monitoring device. Therefore, the method is high in field operability, accurate in judgment and easy to implement.

The invention relates to the technical field of instruments and meters, in particular to an inductively coupled plasma mass spectrometer system for intelligent data processing and report generation. Comprising a sample introduction unit, a plasma excitation and ionization unit, a mass analyzer and detection unit, a vacuum system unit and an intelligent data processing and report generation unit. Efficient ionization is achieved through a bipolar radio frequency switching and AI optimized reaction gas plasma source, the AI optimization module monitors in real time and dynamically adjusts parameters so that the ionization efficiency can be stabilized at 92% + / -2%, and meanwhile a reaction gas control system can optimize plasma conditions to suppress interference ions. And the mass analyzer and the detection unit realize high-precision ion separation by utilizing AI interference correction and a QMS-TOF double analyzer mode, and an interference elimination module can automatically eliminate polyatomic ion interference, so that the ionization efficiency, the analysis precision and the accuracy are improved, the interference is effectively inhibited, and the analysis capability of the system on a complex sample is enhanced.

The invention discloses an AI-based cooperative communication method and system for dynamic spectrum allocation and interference elimination, and the method comprises the following steps: 1, collecting historical data of power equipment, including power line environment data collected by a sensor and power line data collected by a dual-mode communication module; 2, marking the historical data, and inputting the marked historical data into the AI model for training; 3, predicting communication performance through the trained AI model, and dynamically adjusting spectrum allocation according to a prediction result; and step 4, the AI model analyzes interference signal characteristics in a prediction result, and interference is eliminated for different interference types by adopting a matching algorithm. According to the invention, the AI technology is utilized to dynamically optimize the power and frequency spectrum selection of the HPLC and the HRF under the condition of meeting the upper limit of equipment energy consumption and the upper limit of transmission power of the dual-mode communication module, and the interference in a complex power line environment is eliminated, so that the optimal communication performance is ensured.

The invention relates to the technical field of electromagnetic interference, in particular to an electromagnetic interference analysis method and system for digital office equipment. The method comprises the following steps: acquiring equipment operation information; analyzing the equipment operation information, and determining an operation mode; determining an operation result according to the operation mode; acquiring operation electromagnetic data; analyzing the operation electromagnetic data, and determining a frequency spectrum change; and determining change time according to the frequency spectrum change, analyzing the operation result according to the change time, and determining whether electromagnetic interference exists or not. The real-time operation state of the tested equipment is collected, and by comparing expected results and actual results in different operation modes, abnormity can be found more easily, and a basis is provided for judging whether interference exists or not. The electromagnetic monitoring device monitors the electromagnetic signals transmitted and received by the tested device in real time, finally judges whether the device is subjected to electromagnetic interference or not, and provides a decision basis for taking measures for reducing or eliminating interference.

The invention discloses a signal-to-noise ratio estimation method based on interference reconstruction and cancellation, which belongs to the technical field of wireless communication, and comprises the following steps: S1, carrying out interference detection on a signal to be detected, and determining whether an interference signal exists in a current signal or not; s2, if it is detected that no interference signal exists in the current signal, signal-to-noise ratio estimation is directly carried out on the current signal; and S3, if the current signal is detected to have an interference signal, performing interference reconstruction and cancellation on the current signal to obtain a signal after interference elimination, taking the signal after interference elimination as a signal to be detected, executing S1 again until the current signal is detected to have no interference signal, and performing signal-to-noise ratio estimation on the current signal to obtain a signal-to-noise ratio estimation result. According to the invention, high-precision signal-to-noise ratio estimation under the interference condition can be realized, and the channel quality evaluation performance under the interference condition is improved.

The invention relates to the technical field of ultrasonic detection, in particular to a concrete quality detection method for building construction, which comprises the following steps: acquiring a transmitting wave and a detection receiving wave, and reconstructing the detection receiving wave divided by using signal intensity to obtain a defect signal segment and an initial reconstruction signal thereof; obtaining a reconstruction reserved weight based on the peak steep characteristic presented in the defect signal segment; adjusting each wave crest in the initial reconstruction signal to obtain a fused reconstruction signal; dividing all fusion reconstruction signals based on signal intensity similar characteristics of the homologous signals to obtain first reflection signals and attenuation reflection signals thereof; and performing attenuation processing on the attenuation reflection signal of the first reflection signal to obtain a concrete quality detection wave. The invention aims to solve the interference caused by multiple reflections of ultrasonic waves in the concrete detection process and achieve the purposes of eliminating the interference and improving the concrete quality detection accuracy.

The invention discloses an interference elimination method and device, a medium, a product and equipment. The method comprises the following steps: determining an average energy value of to-be-detected time domain data; determining module value cumulative distribution information corresponding to the time domain data; determining the number of interested sampling points in the time domain data based on the average energy value and the module value cumulative distribution information; performing interference detection on the time domain data based on the number of the interested sampling points; and carrying out interference elimination processing on the time domain data based on an interference detection result, thereby accurately eliminating the interference suffered by the equipment, and facilitating the equipment to carry out efficient and high-performance post-stage decisions, such as efficient and high-performance cell search, grid scanning and other processes.

The invention discloses a double-beam laser interference detection device and a detection method, the double-beam laser interference detection device is used for semiconductor etching and thin film process end point detection, and the double-beam laser interference detection device comprises an imaging unit, a detection unit and a reference unit; the detection unit comprises a first emitting part used for emitting detection light rays, and the detection light rays are focused to the wafer through the imaging unit; the first detector outputs a first reflection signal; the reference unit comprises a second emitting part and is used for emitting reference light to the imaging unit, so that the reference light is focused on the semiconductor equipment window; the second detector outputs a second reflected signal. And in the detection process, performing difference calculation on the first reflection signal and the second reflection signal to obtain a light intensity signal after interference elimination, and calculating the etching depth or the film deposition thickness of the wafer according to the light intensity signal after interference elimination. According to the invention, the problem of insufficient accuracy of detection of the wafer etching depth and the thin film deposition thickness end point caused by factors of vibration of semiconductor equipment and unstable environment can be eliminated.

The invention discloses a wireless passive bolt pre-tightening force monitoring method and system. The method comprises the steps that bolt deformation, temperature and vibration parameters are collected; optimizing the arrangement positions of the sensors based on physical field simulation and working condition characteristics; eliminating interference by using a dynamic decoupling model, and outputting a corrected pre-tightening force value; and monitoring and evaluating the pre-tightening force state of the bolt group in combination with multi-channel sensing, and outputting a monitoring result. According to the invention, the multi-dimensional sensing unit is combined with the dynamic decoupling algorithm, so that the measurement precision under a complex working condition is remarkably improved, and on the basis of a wireless passive communication technology, the arrangement position of each sensor is determined through physical field simulation, so that the risk of a monitoring blind area caused by unreasonable arrangement is avoided. Besides, by fusing multi-dimensional parameters such as strain, temperature and vibration and constructing a decoupling algorithm, the problem of pre-tightening force measurement deviation caused by multi-interference coupling under complex working conditions is solved, and meanwhile, real-time monitoring and abnormal early warning of the bolt group pre-tightening force are realized.

The invention discloses an encrypted signal receiving guide system for an unmanned aerial vehicle. According to the invention, the self-adaptive anti-interference module realizes real-time identification, feature analysis and dynamic suppression of interference signals through a multi-dimensional joint sensing and closed-loop adjustment system. The interference detector is fused with a time-frequency domain depth feature extraction technology, and existence features of complex interference such as frequency hopping and frequency sweeping can be captured in a millisecond-level time window; the interference characteristic analyzer accurately deconstructs a modulation rule and a propagation characteristic of an interference signal based on a nonlinear dynamic modeling and pattern learning algorithm; the self-adaptive filter adopts a multi-modal optimization strategy and combines space-time correlation characteristics of navigation signals, so that the integrity of original signals is reserved to the greatest extent while interference is eliminated. The whole set of mechanism forms a complete anti-interference closed loop from environmental perception to dynamic response, and ensures that the unmanned aerial vehicle can still maintain a stable encrypted communication link and centimeter-level navigation precision in extreme scenes such as strong electromagnetic suppression and dense signal conflicts.

The embodiment of the invention provides a Beidou water vapor inversion method and system based on a buoy platform. The method is applied to the technical field of data processing, and comprises the following steps: receiving a Beidou dual-frequency signal through a direct antenna to obtain original observation data; the multi-path effect and the platform shake are inhibited by combining buoy motion characteristics obtained by the MEMS sensor to obtain pre-processed data; calculating a troposphere delay estimated value; establishing a delay-water vapor conversion model; suppressing short message interference to obtain effective observation data; and inputting the data into a model to calculate the amount of precipitable water and the relative humidity. According to the method, the key technical problems of sea surface multi-path effect suppression, platform shake compensation, marine atmosphere modeling, short message interference elimination and the like are solved, so that reliable water vapor parameter inversion on the buoy platform is realized.

The invention discloses a 10kV power system overvoltage protection and optimization method based on an EMTP simulation technology, and the method comprises the steps: constructing a multi-layer simulation model, and carrying out the simulation analysis; modeling and predicting the overvoltage trend of the power system by collecting simulation data and utilizing a machine learning algorithm; in the simulation process, cable modeling parameters including resistance, capacitance and inductance are dynamically updated in real time, and the actual operation state of the cable is simulated; based on a high-frequency transient electromagnetic interference signal detected in real time, an interference elimination scheme is automatically generated and adjusted; performing parallel operation on the simulation scene by adopting quantum calculation, and synchronously performing overvoltage protection optimization; and summarizing and optimizing the simulation data to generate an improved protection scheme. According to the invention, the anti-interference capability and the operation reliability of the power system are obviously improved, the safe operation of the system in various complex operation scenes is ensured, the service life of power equipment is effectively prolonged, and the operation fault risk is reduced.

The invention relates to a position sensing method and device, computer equipment, a readable storage medium and a program product. The method is applied to a receiver, and comprises the following steps: processing a received receiving signal to obtain a direct link signal corresponding to a signal source; determining a reflected link signal from the received signal based on a serial interference cancellation strategy and the direct link signal; performing sensing parameter estimation on the reflection link signal to obtain position sensing data; and determining coordinate information of the target device based on the position sensing data. By adopting the method, the position sensing accuracy of the reflection and scattering equipment can be improved.

The invention relates to the technical field of wireless communication, in particular to a super-Nyquist signal iterative interference elimination method based on symbol grouping and FEC (Forward Error Correction), which comprises the following steps of: acquiring bit streams, grouping symbols according to odd-even positions and encoding, and respectively generating and superposing odd-even sub-signals to generate FTN (Feeder Transfer Network) signals; performing matched filtering and sequence detection, and extracting soft information of odd and even positions; performing soft decoding on the soft information at the odd positions to generate Nyquist odd group signals; subtracting the odd-numbered group signals from the total signal of the receiving end to obtain even-numbered group feedback signals; performing matched filtering and soft decoding to obtain an even number position judgment bit, and regenerating an even number signal; and extracting an odd feedback signal by subtracting the total signal of the receiving end from the even regeneration signal, generating an odd decision based on Nyquist matched filtering and soft decoding, and performing loop iteration until ISI is completely eliminated. According to the invention, efficient and robust suppression of ISI in the FTN system can be realized, and the method can adapt to the dynamic change of an optical fiber channel.

The invention discloses a logistics supply chain dynamic management method based on the Internet of Things, and relates to the technical field of logistics management, and the method comprises the following steps: constructing a radio frequency interference space fingerprint database, and recognizing an interference region and generating a radio frequency interference distribution map through collecting the emission frequencies, signal intensities and spatial distributions of a plurality of radio frequency identification read-write devices. According to the method, interference hotspots are accurately identified by constructing a radio frequency interference space fingerprint database and a distribution map, and signal conflicts and response failures are avoided in combination with dynamic tag gain and time sequence management. And the communication stability is monitored in real time, local adjustment and self-checking are implemented, and rapid abnormal response and self-repair are realized. Equipment deployment and transmitting power are optimized, interference blind areas are dynamically eliminated, identification stability and data accuracy are improved, logistics errors and risks are reduced, transparency and response capability of a supply chain are enhanced, intelligent and reliable logistics management is promoted, and anti-interference capability and overall operation efficiency of the system are improved.

The invention discloses an anti-interference filter based on FFT (Fast Fourier Transform), and relates to the field of GNSS (Global Navigation Satellite System) receivers. A radio frequency front end is used for receiving GNSS signals and down-converting the GNSS signals into IF (Intermediate Frequency); the analog-to-digital converter ADC is used for converting the GNSS signal which is received by the radio frequency front end and moved to the intermediate frequency into a digital signal; and the anti-interference filter is used for converting the digital signal from time domain representation to frequency domain representation, eliminating an interference signal in a preset frequency range in a frequency domain according to a preset demand index, and inversely transforming the frequency domain signal subjected to interference elimination back to the time domain. The invention further discloses an interference suppression method of the anti-interference filter based on the FFT, the anti-interference filter based on the FFT is suitable for various GNSS receivers, the anti-interference performance of the receivers can be effectively improved, and the accuracy of navigation and positioning is ensured.

The invention provides an electromagnetic detection system based on a sea-bottom crawler, belonging to the field of geophysical exploration technology, comprising: a survey vessel, a sea-bottom crawler, a transmitting antenna, a receiving node array, a control chip, and a power supply; the survey vessel is connected to the sea-bottom crawler through a traction rope, and the tail of the sea-bottom crawler is provided with a drag cable, on which the transmitting antenna and the receiving node array are mounted, and both the control chip and the power supply are configured in the integrated electronic cabin of the sea-bottom crawler; the power supply provides electrical energy to the sea-bottom crawler, transmitting antenna, receiving node array, and control chip, and the control chip is electrically connected to the transmitting antenna, the receiving node array, and the power system of the sea-bottom crawler; the control chip is configured to have an electromagnetic detection interference compensation module for performing interference elimination and compensation on reflected waves received by the receiving node array. It solves the technical problem of insufficient detection accuracy in existing technologies.