6results about How to "Reduce sampling points" patented technology

The present application discloses a method for optimizing a low-orbit navigation enhancement satellite constellation, the method comprising: determining a constellation parameter set to be optimized according to the number of sub-constellations in the low-orbit satellite constellation, and constructing constraint conditions according to preset optimization constraints; constructing a relationship between the equivalent geometric precision factor GDOP of the low-orbit satellite constellation and the probability of successful convergence of precise point positioning PPP, and constructing a multi-objective function based on the relationship and the preset optimization goal; optimizing the parameters in the constellation parameter set to be optimized using a genetic algorithm based on the preset optimization goal, the constraint conditions and the multi-objective function to obtain an optimized constellation parameter set, and obtaining an optimized low-orbit satellite constellation based on the optimized constellation parameter set. The present application solves the technical problem that the prior art cannot reflect the convergence performance of precise point positioning PPP, and cannot perform calculations when the number of instantaneously visible satellites is less than 4.

The present invention discloses a broadband electromagnetic simulation method using efficient adaptive frequency scanning. The present invention proposes to use an error formula to judge the convergence of frequency response, thereby being able to obtain appropriate frequency sampling points, which reduces the required sampling points and speeds up the simulation compared to other methods. The present invention proposes to convert a nonlinear problem into two linear problems, iteratively calculate the precise pole and residue values, solve the linear equation, obtain an accurate frequency response fitting value, speed up the calculation rate, and improve the accuracy.

This invention provides a path planning method belonging to the field of robot path planning, comprising: constructing a non-uniform dynamic partitioning strategy based on the obstacle distribution density within the workspace, prioritizing the selection of key areas that the path may traverse, and reducing the generation of redundant nodes and edges; constructing a weighted sampling strategy based on the comprehensive distance between sampling points and obstacles, increasing the sampling density of obstacle boundaries and narrow passage areas, and reducing invalid sampling in free space; constructing an adaptive variable step-size connection strategy based on the regional obstacle distribution characteristics, dynamically adjusting the node connection step size to enhance the connectivity of the route graph and reduce redundant edges; and performing path querying using a graph search algorithm based on the constructed probabilistic route graph, and performing cubic spline interpolation smoothing on the generated original path to obtain a smooth final path. This method is applicable to path planning in two-dimensional and three-dimensional spaces and for multi-degree-of-freedom robotic arms, and can effectively shorten path length and reduce planning time.

The application discloses a high-precision ADC linearity test method and system, comprising the following steps: inputting a plurality of signal differences to an ADC through a control signal generator, a voltage source, an operator and a channel of a multiplexer, and obtaining a group of output code bits of each signal difference; summing and subtracting two preset signal differences, and summing and subtracting the output code bits of the two preset signal differences, to obtain summing and subtracting results; determining a multivariate linear equation group according to a preset segmented nonlinear model containing a parameter to be solved, the summing and subtracting results and the output code bits; obtaining an optimal solution by solving the equation group, and determining integral nonlinear errors and differential nonlinear errors of the ADC according to the optimal solution and the preset segmented nonlinear model. The application can calculate common-mode and differential-mode of integral nonlinearity and differential nonlinearity, can reduce the precision requirement of an input signal, can greatly shorten test time and sampling points, and has simple system structure, fast algorithm running speed and wide application prospect.

The present invention discloses a broadband electromagnetic simulation method using efficient adaptive interpolation, adopting an improved frequency sweeping method based on Lagrange matrix rational interpolation, and a new convergence criterion, taking into account the slope between two adjacent frequency points between the previous interpolation and the current interpolation of S parameters and Y parameters. By combining matrix rational interpolation and dichotomy frequency scanning, not only can the entire frequency range be interpolated using a few sampling frequency points and frequency responses, but also the result will be more accurate due to the adoption of a new convergence criterion, especially for the problem of rapidly changing frequency response.

Disclosed are an inrush current detection method, an inrush current detection device, and a computer-readable storage medium for a transformer. The inrush current detection method comprises: sampling at least a portion of a current signal of the transformer to obtain a numerical matrix; providing the numerical matrix as an input to an inrush current detection neural network; and calculating and outputting a label vector corresponding to the numerical matrix by the inrush current detection neural network, wherein the label vector indicates whether the current signal is an inrush current.