34 results about "Residual interference" patented technology

The invention relates to the technical field of electronic component parameter optimization, in particular to an electronic component parameter optimization method and system, and the method comprises the following steps: collecting high-frequency measurement data of an electronic component; performing preliminary interference separation on the high-frequency measurement data to identify and suppress continuous waveform distortion caused by impedance mismatching of the transmission line and accidental transient electromagnetic pulses caused by reduction of shielding capability of the transmission line, and obtaining data after preliminary interference separation; performing purity evaluation on the data after the preliminary interference separation to quantify the degree of residual interference in the data after the preliminary interference separation to obtain a purity evaluation result; and dynamically adjusting an optimization strategy and a data weight of an electronic component parameter optimization program according to a purity evaluation result so as to carry out electronic component parameter optimization. The accuracy and efficiency of parameter optimization of the electronic component can be improved.

The invention discloses an anti-interference method suitable for a satellite navigation signal, and belongs to the field of satellite navigation signal anti-interference, and the method comprises the steps: collecting multi-channel satellite navigation signal data through a receiver array, processing an initial signal through a self-adaptive filtering algorithm to preliminarily reduce noise interference, and obtaining a preliminarily purified signal; extracting a spatial correlation matrix according to the preliminary purification signal, decomposing the matrix by adopting a principal component analysis algorithm to identify dominant spatial features, and determining an interference direction vector; obtaining the spectrum distribution of the direction suppression signal, further separating the spectrum overlapping part by adopting a principal component analysis algorithm, and judging the residual interference residue; through fusion of the direction suppression signal and the residual interference residue, an adaptive filtering algorithm is adopted to iteratively optimize the weight so as to enhance the navigation signal strength, and an optimized enhanced signal is obtained; and calculating a positioning parameter according to the optimized enhanced signal, judging whether the parameter stability meets a preset threshold value, and obtaining a final stable signal.

The invention relates to a joint beam forming and power control method in a communication and inductance fusion federated learning system, which comprises the following steps of: constructing a joint optimization problem which takes minimization of residual interference power of a base station receiving end as an optimization target and takes a beam forming vector and a power control factor set as optimization variables; a deep reinforcement learning framework is adopted to solve the joint optimization problem, and an optimal beam forming vector and an optimal power control factor set matched with the current channel state and the sensing task are dynamically output; and sending out a control instruction according to the optimal beam forming vector and the optimal power control factor set so as to perform cooperative control on a beam former of the base station and the transmitting power of each edge device. Beam forming and user power are jointly optimized, and resources are adaptively allocated by using deep reinforcement learning, so that sensing performance and power constraints are ensured, federated learning aggregation errors are remarkably reduced, and multi-device cooperative training efficiency and spectrum utilization rate are improved.

The invention discloses an active eliminating type filtering method for cross interference of a charging module and a related device, which are used for improving the electromagnetic compatibility and the stability of a charging system and reducing the influence of the cross interference. The method comprises the following steps: monitoring a charging module output frequency spectrum, and decoupling the frequency spectrum to obtain interference frequency and interference intensity; constructing a digital twinborn model based on the interference frequency and the interference intensity; extracting working state characteristics of the target module, and analyzing by combining the working state characteristics and the expected coupling path to obtain a coupling strength coefficient; according to the digital twin model, generating an expected coupling interference signal generated by the target module; generating an anti-vector signal according to the expected coupling interference signal; injecting the anti-vector signal into a pulse width modulation carrier of the target module to generate an actual driving signal; monitoring a residual interference spectrum output by the target module, and calculating a deviation value between the residual interference spectrum and a preset threshold value; and according to the deviation value, parasitic parameters and anti-vector signals of the digital twin model are updated.

The application discloses a self-interference suppression method based on wideband digital beam forming, which comprises the following steps: S1. After a transmitter performs digital-to-analog conversion on a desired transmission signal through transmission beam forming, the signal is processed through a radio frequency transmitting device and then transmitted to a transmitting antenna array for transmission; S2. A receiver receives the signal from the transmitting end through the receiving antenna array, processes the signal through a radio frequency receiving device, performs analog-to-digital conversion, completes receiving beam forming, and gives a residual interference representation of the receiver; and S3. Coefficients of the transmitting beam forming and the receiving beam forming are designed, the self-interference coupled to the receiving array is suppressed while ensuring normal transmission of the transmitting array and normal reception of the receiving array, and the desired signal is normally demodulated. The application utilizes the symmetry characteristics of the coupled self-interference channel, alternately iteratively optimizes the transmitting and receiving beam forming coefficients, and minimizes the residual interference and noise power coupled to the receiver.

The invention belongs to the field of equipment radio frequency communication, and discloses an AR glasses radio frequency interference suppression method and system, and the method comprises the steps: collecting the characteristic data of a multi-band radio frequency signal; constructing a joint channel model, and solving joint channel model parameters based on the characteristic data; based on the joint channel model, generating an anti-phase counteracting signal, and inputting the anti-phase counteracting signal into a receiving link to perform interference pre-elimination; analog-to-digital conversion sampling is carried out on the signal after interference pre-elimination, and residual interference compensation is carried out through an adaptive filter; and adaptively adjusting the joint channel model parameters according to the change of the received signal, and carrying out real-time interference suppression on the multi-band radio frequency signal. According to the invention, through dual-band concurrent monitoring, nonlinear coupling interference modeling and cooperative suppression of an analog domain and a digital domain, the problems of dynamic characteristics and nonlinearity of cross-band interference are effectively solved.

The invention discloses a self-adaptive subspace projection suppression method based on optical pump magnetometer external noise, and belongs to the technical field of neural magnetic imaging (MEG) signal processing.The method comprises the steps that brain magnetic signals are collected through a wearable optical pump magnetometer array and preprocessed, and a signal and noise subspace decomposition model is established; integrating a model-driven noise modeling method and a data-driven noise modeling method, and constructing a noise subspace base vector; constructing a signal subspace basis vector in combination with a guide field matrix and event correlation analysis; identifying residual noise components based on event correlation analysis, and perfecting noise subspace modeling; signal noise separation is realized by adopting a hierarchical projection strategy; and analyzing the time correlation of internal and external space signals, and constructing a time projection matrix to remove residual interference to obtain a clean MEG signal. According to the invention, various types of external noise interferences can be effectively suppressed, the signal-to-noise ratio and the reliability of brain magnetic signals are remarkably improved, and the method is particularly suitable for practical application of a wearable optical pump magnetometer system.

This invention relates to a method for separating vibration and flow noise in the underwater noise spectrum of a ship propeller, comprising: constructing a "frequency label" for vibration noise by fabricating two propeller models with identical geometry but significantly different material properties; a dual-model difference stage: calculating the absolute difference in the noise spectra of the two models and generating a vibration noise mask based on modal analysis results; a blind source separation stage: for the residual signal after difference, using an improved Independent Component Analysis (ICA) algorithm to further separate residual interference by utilizing the statistical independence of vibration noise; introducing a convolution kernel function in this stage to enhance the algorithm's adaptability to time-delayed signals; and introducing Cepstrum analysis technology to perform phase correction on the complex spectrum of the replacement frequency band. This method solves the significant shortcomings of existing noise control technologies in the coupling separation of vibration and flow noise, enabling the separation of the components of underwater noise from ship propellers, obtaining the noise components caused by blade vibration and the flow noise components separately.

The application discloses a scalable multi-array towed electromagnetic coil structure and a working method, and belongs to the field of towed transient electromagnetic detection equipment. The structure adopts a multi-array modular array design, one transmitting array element and two receiving array elements on the two sides of the transmitting array element form a modular working unit, and the compact connection of the array is realized by the common use of the receiving array elements of adjacent working units. The horizontal offset distance and the vertical distance between the transmitting array element and the receiving array element are constrained, the mutual inductance coefficient in the working unit approaches to zero, the primary field residual interference is suppressed at the physical level, and the shallow detection blind area is eliminated. Time division multiplexing technology is adopted to realize multi-unit round transmission and multi-channel signal synchronous acquisition, a spatial amplitude response matrix is constructed, and the accurate positioning of the center position and the geometric boundary of an underground abnormal body is realized. The application supports horizontal modular seamless expansion, significantly improves the scanning width and the detection efficiency, and can provide rich data basis for high-quality inversion of the underground abnormal body.

Provided is a system capable of reducing a residual interference when forming a null of a directional beam from a relay communication station in an upper airspace which forms a wide-area cell toward an antenna of a terrestrial cell base station. The wide-area cell base station and one or plural terrestrial cell base stations perform service link communications in the same frequency band using radio frames that are time-synchronized with each other. The wide-area cell base station determines a null-forming method according to the conditions of uplink (UL) and downlink (DL) of the service link communications that are performed synchronously in the radio frames of the wide-area cell and the terrestrial cell, and controls a beamforming by the service link antenna of the relay communication station so as to form a null toward within a coverage area of the terrestrial cell base station based on the null-forming method.

Provided is a system capable of reducing a residual interference when forming a null of a directional beam from an upper-airspace relay communication station that forms a wide-area cell, toward an antenna of a terrestrial-cell base station. The wide-area cell base station and the terrestrial-cell base station perform service-link communications in the same frequency band using radio frames that are time-synchronized with each other. The wide-area cell base station determines a null scheduling regarding a null allocation on time axis and frequency axis based on information regarding the terrestrial-cell base station, and transmits information on the null scheduling to the terrestrial-cell base station. Based on the information on the null scheduling received from the wide-area cell base station, the terrestrial-cell base station estimates an interference from the wide-area cell to a terminal apparatus of user located in its own cell, determines a user scheduling regarding an allocation of a terminal apparatus of user on time axis and frequency axis, and performs a communication with the terminal apparatus of user located in its own cell.

The invention relates to the technical field of vehicle-mounted electronics, in particular to a vehicle-mounted video interference suppression method and system based on EMC optimization, and the method comprises the steps: building a transmission reference model; comparing the model with a composite signal on a transmission link in real time, extracting a holographic electromagnetic wave interference component through holographic differential processing, analyzing an amplitude-phase transfer function, and generating a reverse holographic electromagnetic wave through phase conjugate inversion; reverse holographic electromagnetic waves are coupled and injected into a link through a distributed holographic modulation array, and coherent cancellation is carried out on the reverse holographic electromagnetic waves and original interference; residual interference is monitored at the downstream of the link, and the offset effect is dynamically optimized through an adaptive weight updating algorithm. According to the invention, channel noise in a transmission link is eliminated from the source through active cancellation, the technical problem that a video signal is submerged by noise before reaching a receiving end in a strong electromagnetic interference environment is solved, and the suppression effect under complex and changeable working conditions is ensured through a self-adaptive closed-loop system. And the transmission reliability and fidelity of the vehicle-mounted video signal are obviously improved.

The application discloses a power distribution method of a downlink non-orthogonal multiple access system based on a non-circular signal and belongs to the technical field of wireless communication systems. According to the characteristic that a non-circular signal can change the second-order statistics of a sending signal, the non-circular signal is applied to a two-user downlink non-orthogonal multiple access system, and a joint design scheme of a non-circular coefficient and power of a strong channel user is provided. The method implementation steps comprise the following steps: according to the distance between a user and a base station, determining the average channel noise ratio intensity of each user, and the residual interference intensity of an imperfect serial interference canceller adopted by a strong channel user; specifying the sending signal power of a weak channel user, the maximum sending signal power of the strong channel user, the target rate of each user and the maximum outage probability threshold of the weak channel user; and calculating the optimal signal sending parameter of the strong channel user according to a formula. The scheme is helpful to improve the transmission reliability of the strong channel user on the premise of ensuring the transmission reliability of the weak channel user.

The invention discloses an anti-interference visible light communication system based on dynamic spectrum hopping, and relates to the technical field of visible light communication. The system comprises a transmitting end, a receiving end and a feedback link, the transmitting end collects interference data through a multi-dimensional spectrum sensing module, after analysis, a reinforcement learning module dynamically generates a spectrum hopping sequence based on Q learning, and signals are transmitted through an LED array in combination with OFDM modulation and synchronous pilot frequency carrying Hash verification information; and a receiving end realizes stable synchronization by adopting dual mechanisms of pilot coarse synchronization and Hash check fine synchronization, detects residual interference while demodulating, and feeds back the residual interference to a transmitting end to form closed-loop adaptive optimization. The invention solves the problems of poor flexibility, unstable synchronization and lagging interference detection of the existing fixed frequency hopping, significantly improves the communication reliability and spectrum efficiency in a complex interference environment, supports high-speed transmission, has strong compatibility, and is suitable for multiple scenes.

The invention belongs to the technical field of electronic information, particularly relates to a lightweight neural network-assisted EMI filtering system, and aims to solve the problems of poor adaptability, high response delay and large resource consumption of a traditional filtering technology in a complex electromagnetic environment. The system collects multi-channel electromagnetic signals through a front-end sensing array, the signals are preprocessed and then input into a lightweight feature extraction neural network, interference features are extracted in combination with depth separable convolution and a time attention mechanism, dominant interference types are judged through an interference mode recognition engine, and the interference mode recognition engine is used for recognizing the interference types. And the dynamic filtering configuration controller is driven to call the optimal parameter to reconstruct the transfer function of the reconfigurable analog filtering array, and the closed-loop evaluation unit feeds back the residual interference level in real time to iteratively optimize the filtering performance. According to the scheme, accurate suppression of broadband and high-dynamic interference is achieved, quick response and low-power-consumption dual-mode operation is supported, and electromagnetic compatibility and system energy efficiency are remarkably improved.

This application discloses an active filtering method and related apparatus for eliminating cross-interference in charging modules, which improves the electromagnetic compatibility and stability of charging systems and reduces the impact of cross-interference. The application includes: monitoring the output spectrum of the charging module and decoupling the spectrum to obtain the interference frequency and intensity; constructing a digital twin model based on the interference frequency and intensity; extracting the operating state characteristics of the target module and combining these characteristics with the expected coupling path analysis to obtain the coupling strength coefficient; generating the expected coupling interference signal generated by the target module according to the digital twin model; generating an anti-vector signal based on the expected coupling interference signal; injecting the anti-vector signal into the pulse width modulation carrier of the target module to generate the actual driving signal; monitoring the residual interference spectrum output by the target module and calculating the deviation between the residual interference spectrum and a preset threshold; and updating the parasitic parameters of the digital twin model and the anti-vector signal based on the deviation.

The invention provides an ultrasonic guided wave online monitoring device and method for corrosion of an offshore wind power jacket, and the method comprises the steps: generating four-channel excitation signals with a preset phase relation through a DSP signal processing and control system, and respectively driving four quadrants of a four-quadrant piezoelectric ceramic transducer array; the modal suppression sensor group monitors the propagated wave field; and the DSP signal processing and control system analyzes the signals, identifies a residual interference mode, adjusts excitation signal parameters of the four-quadrant piezoelectric ceramic transducer array, feeds back and controls in real time, and suppresses the interference mode to the lowest level. After the pure torsion wave is propagated along the jacket pipe and interacts with the corrosion defect, the four-quadrant piezoelectric ceramic transducer array collects a reflected echo signal. And the DSP signal processing and control system processes the collected echo signal, outputs a detection signal with a high signal-to-noise ratio, and evaluates the corrosion state of the jacket according to the signal. According to the invention, reliable and long-term on-line monitoring of the corrosion state of the jacket is realized.

The invention provides an induced polarization detection half-wave decoupling method and an induced polarization detection half-wave decoupling device based on multi-level emission, and aims to solve the problem that deep weak induced polarization signals are submerged by noise and cannot meet deep ore body identification requirements due to the limitation of waveform distortion, residual interference and the like existing in the conventional chopping decoupling method and the like. A multi-level signal waveform is synthesized by adopting a single-field-source multi-level transmitting technology at a transmitting end, and a waveform signal is provided for decoupling of a receiving end. Furthermore, at a receiving end, a translation convolution decoupling method is provided, accurate separation of an electromagnetic coupling signal and an induced polarization effective signal is realized through the processes of waveform translation, frequency division convolution and signal amplitude compensation, and the loss of the effective signal caused by a traditional chopping decoupling method is avoided.

The application provides a non-orthogonal active-passive cooperative beamforming design method based on beneficial interference, and belongs to the field of energy efficiency optimization of downlink wireless communication. In a conventional IRS-NOMA network, two potential inter-user interferences affect the performance of the system. On one hand, SIC cannot eliminate the interference from high-decoding-order users, and these signals are regarded as noise by the receiving users; on the other hand, when SIC eliminates the interference from low-decoding-order users, the interference signals are difficult to be completely detected and eliminated, and thus the residual interference affects the system performance. Based on this, the application provides two CI-assisted interference design schemes. Specifically, for scheme I, CI converts the interference from high-decoding-order users into user useful receiving information to utilize the interference that cannot be eliminated by the user receiving end. For scheme II, CI converts the interference from low-decoding-order users into user useful receiving information to eliminate the SIC process and improve the useful signal power of the user end.

The invention relates to the technical field of vehicle-mounted electronics, and discloses a vehicle-mounted display screen anti-interference method and system. The method comprises the following steps: acquiring a cable common-mode interference signal through a sensor array; an interference frequency distribution spectrum is generated through preprocessing and spectrum analysis; identifying a high-power interference frequency band set; if the transmission frequency is overlapped with the current transmission frequency, calculating an alternative range and selecting a frequency band which has the lowest power and meets a signal-to-noise ratio threshold as a target frequency; the working frequency of the transmission module is dynamically reconfigured; obtaining a signal quality index after switching, and judging whether further optimization is needed or not by comparing the distortion degree; residual interference is suppressed, a real-time feedback index is extracted, and if the real-time feedback index exceeds a stability threshold value, high-power frequency points are recognized again, and closed-loop adjustment is formed. According to the invention, real-time sensing and frequency adaptive avoidance of dynamic electromagnetic interference are realized, and the data transmission stability and reliability of the vehicle-mounted display screen are improved.

The application relates to a Bi-LSTM-SA low-complexity OTFS channel estimation method and system based on a basis expansion model and belongs to the technical field of wireless communication and deep learning. In view of the problems of low channel estimation accuracy and high equalization complexity in a high-speed mobile scene, the application converts time-domain channel estimation into low-dimensional basis coefficient estimation through a basis expansion model, extracts basis coefficient time sequence features by using a self-attention enhanced bidirectional long short-term memory network, and realizes high-precision channel estimation. Meanwhile, a two-stage equalizer is adopted, single-tap equalization is carried out in a time-frequency domain, and residual interference is suppressed through iterative interference cancellation in a delay-Doppler domain. The application effectively balances estimation accuracy and calculation complexity, and improves the anti-Doppler spread capability and spectral utilization efficiency of a system.

The invention provides a digital active EMI filter design method and device based on online time delay compensation, and belongs to the technical field of electromagnetic interference of power electronic devices. On-line compensation of time delay is realized without acquiring impedance and transfer function information of the inverter and the AEF in advance. Firstly, when an inverter works normally, a sensor is used for collecting electromagnetic interference, and an interference main frequency point is extracted through an FFT algorithm; then, generating a notch filter corresponding to the interference frequency point based on an LMS (Least Mean Square) algorithm; and finally, the control parameter of each notch channel is adjusted on line, so that the compensation current and the interference current are aligned in the time domain, the residual interference after compensation is minimum, the offset of multi-frequency-point interference can be realized after the output of each channel is combined, and the on-line compensation of the algorithm on the time delay is completed. According to the method, the control parameters of the LMS algorithm can be adaptively adjusted on line, and the optimal updating direction of the control parameters can be searched, so that the efficient suppression of electromagnetic interference is realized under the condition that the time delay is unknown.

The invention relates to the technical field of communication, in particular to a rate splitting multiple access and symbol precoding combined interference management method and device, and the method comprises the steps: obtaining the user information of a base station transmitting end, and decomposing the user information based on a preset rate splitting multiple access strategy, so as to obtain the public information and private information of the user information; respectively carrying out symbol pre-coding processing on the public information and the private information, and applying phase constraint on the private information to obtain pre-coded public information and private information; and decoding the public information at the receiving end of the base station, and eliminating the serial interference of the public information according to the decoded public information, so as to decode the private information at the receiving end of the base station to obtain the decoded private information. Therefore, the problem that the signal decoding process and the system performance are influenced and the communication quality is restricted due to the fact that the interference is difficult to completely eliminate because the suppression capability of the related technology on the residual interference between the private information of the user is limited is solved.

This invention discloses a fluid antenna-assisted downlink direct transmission and cooperative power domain NOMA dual-mode hierarchical communication method, constructing a system. The system performs dual-mode transmission within one transmission cycle: In the first time period, the source end transmits a first signal to the near end through a first antenna, and simultaneously broadcasts a NOMA superimposed signal through a second antenna; each receiver utilizes the interference compression function of the fluid antenna to achieve hierarchical signal reception; In the second time period, the cooperating end forwards the far-end signal, and the source end transmits a second signal to the near end through the first antenna. The near end and far end decode based on the maximum signal-to-interference-plus-noise ratio (SINR) criterion, respectively. This invention, through the fusion design of fluid antenna interference suppression and port selection strategies, achieves zero SIC reception for both near-end and far-end devices and single SIC reception for cooperating devices, significantly reducing residual interference from imperfect SIC and effectively improving the system's sum rate and reliability.

The invention discloses a cooperative interference suppression-oriented multi-antenna receiving method, which comprises the following steps of: at an information source node, converting a digital useful signal into a radio frequency signal after digital-to-analog conversion and up-conversion, and transmitting the radio frequency signal by a useful signal antenna; at the cooperative node, the digital cooperative interference signal is converted into a radio frequency signal after digital-to-analog conversion and up-conversion, and the radio frequency signal is transmitted by a cooperative signal antenna; performing down-conversion and analog-to-digital conversion on the received signal at the authorized node; cooperative interference reconstruction and offset are carried out on the signal of each receiving antenna; analyzing a covariance matrix of residual cooperative interference; analyzing a useful signal covariance matrix containing a frequency offset error; deriving a weight vector which enables the signal to interference plus noise ratio of the combined output signal to be maximized; and combining the branch signals according to the weight vector to obtain a combined output signal. According to the invention, the negative influence of the residual interference and the frequency offset error on the performance of the single-input multi-output system can be minimized.

The disclosure is that the embodiment provides a dual-station cooperative jamming cancellation method and system based on a step selection strategy network. The method comprises: acquiring the main station and the auxiliary station signals and initializing; performing multiple iterations, in each iteration, calculating the latest state information including the filtering vector, the gradient and the difference thereof; inputting the state information and the current iteration sequence number into the pre-trained step selection strategy network; the network dynamically decides the current optimal step through the cooperative work of the feature extraction, feature fusion, time sequence feature generation and step generation modules; and updating the filtering vector using the optimal step. Finally, the pure main station signal after cancellation is calculated and output based on the final filtering vector. The embodiment of the disclosure realizes intelligent adaptive optimization of the step, significantly reduces the residual interference power in the signal after cancellation, significantly improves the convergence speed and interference cancellation accuracy, and provides higher quality input signals for subsequent application modules.

The invention relates to the technical field of voice processing, and discloses an electric power counter array directional pickup system based on a neural network. Extracting a diffusion scale; calculating the groove-direction sound pressure ridge migration rate; generating a reserved spectrum; generating a primary target spectrum; generating a final target spectrum; and outputting the target net direct sound pressure sequence. According to the method, a spatial feature chain composed of a sound pressure gravity center, a second-order distribution matrix, a diffusion scale, a groove-direction projection coordinate, a sound pressure ridge elongation ratio and a groove-direction sound pressure ridge migration rate is established around a power counter long seam structure sound field, and a direct sound retention network, a migration compensation synthesis mechanism and a residual suppression network are arranged. Groove-direction propagation characteristics caused by a counter structure are explicitly incorporated into a discrimination and synthesis process, so that intercepted components, reflected and diffused components and residual interference are weakened in a complex window sound field in a more targeted manner, and a target net direct sound pressure sequence which is more suitable for subsequent voice recognition, recording archiving and business quality inspection is output.

The invention discloses a flow antenna assisted downlink direct transmission and cooperative power domain NOMA dual-mode layered communication method. The method comprises the following steps: constructing a system; the system executes dual-mode transmission in a transmission period: in a first time period, a source end sends a first signal to a near end through a first antenna, and broadcasts an NOMA superposed signal through a second antenna; each receiving end realizes signal layered receiving by using an interference compression function of a flow state antenna; in a second time period, the cooperation end forwards a far-end signal, the source end sends a second signal to the near end through the first antenna, and the near end and the far end decode based on a maximum signal to interference plus noise ratio criterion; through fusion design of flow state antenna interference suppression and a port selection strategy, zero SIC receiving of near-end and far-end equipment and single-time SIC receiving of cooperative equipment are realized, imperfect SIC residual interference is remarkably reduced, and the sum rate and reliability of the system are effectively improved.

The invention relates to a feed-through signal dynamic active compensation control system and method, and the system comprises a signal collection module which is used for collecting a magnetic nanoparticle magnetization response signal, a fundamental frequency feed-through signal, an excitation current signal and a scanning current signal through a collection card; the gradiometer coil module is used for receiving the fundamental frequency feed-through signal to carry out first-stage compensation and outputting a residual interference signal; the signal processing module is used for acquiring an initial active compensation signal according to the amplitude and phase of the residual interference signal and the relative parameters of the transformer; the active compensation module is used for processing the initial active compensation signal and obtaining a final active compensation signal to carry out secondary compensation on the residual interference signal; and the control module is used for controlling the acquisition card to output a responded analog electric signal to the magnetic particle imaging equipment and the active compensation module according to the control instruction. According to the invention, accurate compensation of the fundamental frequency feed-through signal is realized through two-stage compensation, the repeatability of the system is improved, and the complexity of system hardware design is reduced.

To address the limitations of existing chopping decoupling methods, such as waveform distortion and residual interference, which cause weak induced polarization (IP) signals at deep depths to be submerged by noise and fail to meet the requirements for deep ore body identification, this invention provides a half-wave decoupling method and apparatus for IPD detection based on multi-level transmission. By employing single-field-source multi-level transmission technology at the transmitting end, a multi-level signal waveform is synthesized to provide a waveform signal for decoupling at the receiving end. Furthermore, at the receiving end, a translation-convolution decoupling method is proposed. Through waveform translation, frequency-division convolution, and signal amplitude compensation, the electromagnetic coupling signal and the effective IPD signal are accurately separated, avoiding the loss of effective signal in traditional chopping decoupling methods.