7 results about "Local spectrum" patented technology

This application relates to the field of intelligent conditioning technology for grating filter sensing signals, and discloses a grating filter sensing signal conditioning method based on machine learning. The invention acquires observation response characterization data and conditional constraint state quantities, first performs spectral axis registration processing based on a preset reference frequency window to eliminate the influence of measurement coordinate offset, then performs residual frequency offset decoupling processing on the preset target frequency band to extract residual frequency offset characterization quantities, and constructs a residual dynamic state sequence by combining historical control states, further utilizes a preset time-series inference model to output voltage compensation quantity and conditioning reliability results, and finally determines the final control voltage through reliable gating conditioning and local spectrum scanning verification, thereby effectively distinguishing pseudo offset from the preset target frequency band true offset, and reducing the interference of original observation signal fluctuations, environmental changes and uneven internal electric field distribution on the control results.

This invention belongs to the field of integrated sensing and communication technology, specifically relating to a high-precision ranging method for OFDM-ISAC based on adaptive CZT. First, the communication information of the received signal from the OFDM-ISAC system is extracted to obtain a two-dimensional matrix containing target distance and velocity information. Then, a two-dimensional fast Fourier transform is performed on the two-dimensional matrix to obtain a complex-valued periodic graph. The amplitude features of spectral peaks and their neighboring spectral lines are extracted from the distance slices. Next, the analysis window for CZT spectrum refinement is adaptively determined based on the amplitude difference relationship between adjacent spectral lines to the left and right of the spectral peak. CZT refinement is then performed on the local spectrum within the window to obtain high-resolution spectral information. Finally, based on the refined spectral features, an adaptive peak extraction strategy is used to accurately estimate the spectral peak position, and then the target distance is calculated through the mapping relationship between the peak index and the distance. This invention improves ranging accuracy without introducing significant computational overhead and ensures the robustness of the system.

This invention discloses a method and system for improving the stability of a coherent dispersive spectrometer based on cross-cancellation, belonging to the field of spectral imaging technology. It includes acquiring two interference spectra with a phase difference of π in an asymmetric coherent dispersive system; separating the local spectrum and interference spectrum through addition and subtraction; performing Fourier transform on both to obtain the local spectrum and interference spectrum in the frequency domain; determining the optical path difference based on the grating line spread function and signal-to-noise ratio condition; and dividing the interference spectrum into a first component region and a second component region; determining the weights using a phase residual optimization method within the frequency range from zero to the optical path difference; and performing a weighted summation of the spectral components of the local spectrum and the first component region to obtain the mixed spectrum after cross-cancellation. This invention further improves spectral resolution through high-frequency stitching and suppresses ringing effects through equalization processing. This invention significantly improves system stability and spectral resolution without increasing system size and complexity.

The application relates to the technical field of semiconductor manufacturing, and discloses a wafer defect detection method, a wafer defect detection device and a medium. The method comprises the following steps: performing image processing on a target wafer image of a wafer object to be detected to obtain a plurality of local spectrum regions; performing complex filtering processing on the local spectrum regions in a plurality of scales and a plurality of directions to obtain response information of each local spectrum region under different scales and different directions; determining a phase consistency residual graph, a frequency band leakage residual graph and a direction offset residual graph based on phase responses and energy responses in the response information, a pre-constructed spectrum phase reference field, a main frequency band and a main direction; performing multi-scale residual back projection processing on the target wafer image to obtain a multi-scale residual back projection graph; generating a defect saliency graph based on any one or several of the phase consistency residual graph, the frequency band leakage residual graph, the direction offset residual graph and the multi-scale residual back projection graph; and performing defect detection based on the defect saliency graph to obtain a target detection result.

This disclosure provides a dynamic spectrum allocation method, system, device, and medium for satellite-ground collaboration. The method includes: activating an SDR module in an idle time slot, scanning a designated frequency band broadcast by the satellite to generate a local spectrum fingerprint, and uploading it to the satellite after differential privacy encryption; receiving a federated learning global training timing instruction from the satellite, completing local iterative training of a lightweight spectrum prediction model based on local historical spectrum data according to the global training timing instruction, and encrypting and uploading the generated model gradient parameters to the satellite; receiving a spectrum allocation instruction from the satellite and determining the transmit and receive frequencies according to the spectrum allocation instruction; fusing GNSS and IMU data to calculate the velocity vector and satellite elevation angle of the mobile terminal relative to the satellite in real time. Embodiments of this disclosure can achieve two-way Doppler compensation between satellite and ground, improving frequency shift correction accuracy and uplink transmission reliability.

The application discloses a kind of adaptive guiding segmented reconstruction methods based on spectral encoding data, belong to spectral detection technical field.The method includes: obtaining main response and reference response vector, based on main response inversion global initial spectrum, based on reference response inversion self-reference spectrum;Utilize the structure intensity of global initial spectrum and self-reference spectrum, consistency and gradient information to construct wavelength-related confidence, realize flexible guidance;According to the fusion target spectrum in spectral valley region, adaptive segmentation with band overlap is carried out;In each segment, a multi-constraint optimization model containing data fidelity, smoothing, reference consistency, gradient consistency and anchoring term is established to solve local spectrum;Finally, the final spectrum is obtained by overlapping fusion and global refinement.The present application can adaptively recover complex peak shape and absorption valley without human intervention, significantly improve the accuracy and stability of underdetermined spectral reconstruction.

The application discloses a kind of multi-user high energy efficiency hybrid resource allocation method suitable for IoV, for the case that multiple primary users and multiple secondary users exist simultaneously in cognitive vehicle networking, a reasonable and efficient resource allocation scheme is proposed.Each primary user enjoys a separate authorized frequency band, and the secondary user communicates using a hybrid spectrum access method without affecting the quality of service of the primary user, and shares the authorized spectrum with the primary user. Multiple secondary users report the sensing results to the fusion center by local spectrum sensing of all subchannels, while considering the presence of errors in the reporting channel, the false alarm probability and detection probability of the global decision are obtained;Under the constraint conditions of secondary user sending end average transmission power, primary user interference and system rate, the system model of maximum energy efficiency is determined, and the objective function is obtained;Then the objective function is converted into a convex function using distributed programming, the power allocation part uses the Lagrange function, and the optimal solution expression is obtained according to the KKT condition;Subgradient algorithm is used to calculate the Lagrange multiplier, and finally the optimal power allocation of the secondary user on each subchannel is obtained to achieve the purpose of maximizing the energy efficiency of the IoV communication system.