9 results about "Phase domain" patented technology

The application provides a multi-satellite signal acquisition method based on a graphics processor. Through the asynchronous pipeline architecture of CPU-GPU cooperation, after completing parameter configuration and data asynchronous uploading at the central processor end, the graphics processor end divides multiple CUDA streams based on the parallel subtasks of the CUDA stream based on the Doppler dimension, combines the pre-bound Fourier transform plan, accelerates the down-conversion through the frequency lookup table, performs frequency domain correlation and non-coherent accumulation in the code phase domain on multiple CUDA streams in parallel, and finally extracts the local peak value through one-level reduction and returns it asynchronously. The central processor end summarizes the results and judges the effectiveness based on the carrier-to-noise ratio. The design realizes the deep integration of the Doppler task-level pipeline and the code phase thread-level parallelism, avoids non-merged access of the GPU device memory, significantly improves the efficiency of multi-constellation signal acquisition, and supports multi-frequency point signal processing of GPS, Beidou and the like through a unified pre-configuration interface, thereby enhancing the architecture universality.

The application provides a multi-satellite signal acquisition method based on a graphics processor. Through the asynchronous pipeline architecture of CPU-GPU cooperation, after completing parameter configuration and data asynchronous uploading at the central processor end, the graphics processor end divides multiple CUDA streams based on the parallel subtasks of the CUDA stream based on the Doppler dimension, combines the pre-bound Fourier transform plan, accelerates the down-conversion through the frequency lookup table, performs frequency domain correlation and non-coherent accumulation in the code phase domain on multiple CUDA streams in parallel, and finally extracts the local peak value through one-level reduction and returns it asynchronously. The central processor end summarizes the results and judges the effectiveness based on the carrier-to-noise ratio. The design realizes the deep integration of the Doppler task-level pipeline and the code phase thread-level parallelism, avoids non-merged access of the GPU device memory, significantly improves the efficiency of multi-constellation signal acquisition, and supports multi-frequency point signal processing of GPS, Beidou and the like through a unified pre-configuration interface, thereby enhancing the architecture universality.

This application discloses a digital predistortion calculation method, apparatus, storage medium, and electronic device. The digital predistortion calculation method includes: acquiring the input signal and corresponding output signal of a power amplifier; determining the nonlinear distortion characteristics of the power amplifier in the amplitude and phase domains based on the input and output signals to identify symmetry breaking modes characterizing the nonlinear distortion characteristics; mapping the symmetry breaking modes to a Lie algebra space, and analyzing the distortion mechanism constituting the symmetry breaking modes based on the Lie algebra space to obtain Lie algebra elements; performing exponential mapping operations on the Lie algebra elements to generate the corresponding symmetry recovery transform function; constructing a performance manifold based on the physical constraints and linearization performance indicators of the power amplifier, and geometrically optimizing the parameters of the symmetry recovery transform function on the performance manifold to generate the target predistortion signal.

The application provides a detection system and an automatic focusing method and a storage medium thereof. The system comprises a light source assembly, an optical assembly, an imaging assembly and a processor. A surface of a to-be-detected object is provided with a feature structure for focus surface positioning. The processor is configured to coarsely adjust a relative position of the imaging assembly and the to-be-detected object, collect interference images at multiple positions, determine an initial focus surface position according to the collected interference images, then change the relative position of the imaging assembly and the to-be-detected object multiple times near the initial focus surface position and collect interference images at corresponding positions respectively, construct a sharpness index by using phase information corresponding to the feature structure, and compare index values at the positions to accurately position a best focus surface position. The application improves the focus adjustment basis from traditional image intensity analysis to phase domain analysis, utilizes high sensitivity of the phase to defocusing, realizes automatic focus adjustment with nanometer-level precision without increasing hardware, and provides reliable focus surface guarantee for high-precision semiconductor detection.

The application discloses a short offset transient electromagnetic method super-deep detection system and a signal analysis method, relates to the technical field of geological detection, and comprises a signal receiving and collecting adaptive module, an original signal preprocessing module, a geometric effect correction and deep gain reconstruction module, a layered response separation module, an inversion imaging and prior constraint module and an analysis result output and visualization module. The near-field coupling, amplitude and phase distortion and deep energy attenuation caused by the short offset are systematically compensated through the quantitative geometric effect correction and the depth self-adaptive gain reconstruction. The mechanism not only synchronously recovers the late and weak amplitude signal in the time domain and the phase domain, but also maintains the amplitude and phase consistency, ensures the use of the homologous and comparable data input for the subsequent layered separation and inversion, and fundamentally expands the applicability of the short offset transient electromagnetic method to the super-deep target. Compared with the method of increasing the transmission or expanding the array, the scheme can stably extract the deep response when the equipment and the field layout are limited, and fundamentally expands the applicability of the short offset transient electromagnetic method to the super-deep target.

The application belongs to the technical field of metasurfaces, and relates to a core granulation metamaterial for electromagnetic wave regulation, which comprises: a plurality of arrayed metasurface units; a core granule is arranged in each gap of a radiation layer of the metasurface unit to form a circuit structure in which the core granule is connected in parallel with a capacitor; the core granule comprises: one or more core granule branches and a diode branch in parallel; the core granule branch comprises a resistor, an inductor and / or a capacitor; the diode branch comprises one diode; different configurations of the resistor, the inductor, the capacitor and the diode in the core granule correspond to different functions of the metamaterial in the frequency domain, the amplitude domain, the polarization domain and the phase domain, so that electromagnetic wave regulation of the core granulation metamaterial is realized. The application can decouple the physical structure of the metasurface and the core circuit of the electromagnetic response, and realize different electromagnetic functions in the frequency domain, the amplitude domain, the polarization domain and the phase domain by configuring different core granules.

The application belongs to the technical field of power equipment insulation monitoring, and discloses a partial discharge comprehensive diagnosis system and method suitable for a substation environment, wherein the system comprises an acoustic sensor array module, a TEV sensor module, a synchronous data acquisition unit, a main control processing unit and a man-machine interaction and communication module. The system provides a unified global sampling clock for multiple signals through the synchronous data acquisition unit with FPGA as the core, and realizes the hardware-level microsecond-to-nanosecond synchronous acquisition. The method is based on the synchronous acquisition of acoustic waves and TEV signals, extracts time domain, frequency domain and phase domain features in parallel, carries out intelligent diagnosis and event type discrimination through a two-stage cascaded hybrid classification model, and realizes high-precision three-dimensional spatial positioning of the discharge source by using a hyperbolic equation set for solving after fusing acoustic TDOA positioning and TEV absolute time reference. The application has the advantages of edge intelligence, strong anti-interference capability and accurate positioning.

This invention provides a multi-channel ultrasonic flow measurement method and system for small-diameter clean pipelines, comprising: obtaining steady-state phase difference estimates for each acoustic channel; extracting three types of quality cues: phase stability, amplitude energy, and related peak morphology; constructing a diffuse microbubble disturbance index based on the quality cues to determine the phase domain deviation compensation amount, and correcting the steady-state phase difference estimates based on the phase domain deviation compensation amount to obtain multi-channel measurement results; performing weighted fusion output on the multi-channel measurement results through a reliability score; stopping the weighted fusion step when a masking disturbance is detected, and switching to a masking event detection and degraded velocity estimation mode, or entering fault-tolerant output when event velocity measurement is unavailable; and outputting flow results and quality indicators. This invention achieves continuous and interpretable flow output even under microbubble, solution disturbance, and short-term masking conditions.

The application relates to the technical field of underwater acoustic positioning, in particular to a self-adaptive underwater acoustic positioning correction method and system based on swarm intelligence, which comprises the following steps: reconstructing original signals of mutual detection of underwater acoustic reference nodes in a high-dimensional phase space, and extracting an arrival time characteristic vector from a phase domain trajectory; based on multi-target particle swarm optimization, performing multi-target optimization on a local neighborhood geometric structure of the characteristic vector to obtain optimal local linear embedding parameters; according to the parameters, globally splicing the characteristic vector manifold to obtain a time delay space manifold; performing variational mode decomposition on the time delay space manifold to obtain a dynamic deviation residual; according to a projection position of a target emission signal on the manifold, fusing the dynamic deviation residual to correct time delay distortion, and obtaining a self-adaptive time delay correction amount; and analyzing the correction amount intersection positioning to obtain a space position of a target to be positioned; the application can improve the correction efficiency of self-adaptive underwater acoustic positioning.