42results about How to "Solve a large amount of computation" patented technology

The invention discloses a method and device for determining power supply reliability, a storage medium and a processor. The method comprises the following steps: determining each network group model in a power grid, wherein at least one network group model exists in the power grid and the network group model consists of equipment nodes with connection relationship; after the network group model isin failure, acquiring time information needed by failure recovery of the network group model, wherein the time information comprises the power-off time of each piece of equipment node in the networkgroup model; and according to the time information, determining the power supply reliability index of the power grid, wherein the power supply reliability index is used for reflecting the power supplyreliability degree of the power grid. The technical problem in the prior art that the method for determining the reliability of the power grid is large in computation burden and low in precision is solved.

The invention discloses an extension factorization space-time two-dimensional self-adaptive processing method based on data fitting and relates to radar technology. The method comprises the specific steps that 1, dimensionality reduction echo data and space-time guide vectors are obtained; 2, a data basis matrix of a distance unit to be detected is constructed; 3, a data basis matrix with targets blocked is obtained; 4, the fitting coefficient of auxiliary echo data is obtained; 5, the minimum fitting error of data of the distance unit to be detected is obtained; 6, unit average constant false alarm rate detection is carried out on the minimum fitting error of the data of the distance unit to be detected. The extension factorization space-time two-dimensional self-adaptive processing method mainly solves the problem that a traditional STAP method is huge in computation burden and strict in sample requirement, and has the good application prospect in measured data processing and STAP performance improvement.

The invention provides a matrix operation result determination method and device, a storage medium and an electronic device.The method comprises the steps that a first matrix and a second matrix to be subjected to matrix operation are obtained; splitting the first matrix into at least two first sub-matrixes according to a preset rule, and splitting the second matrix into at least two second sub-matrixes according to the preset rule; performing matrix operation on the at least two first sub-matrixes and the at least two second sub-matrixes to obtain at least two result matrix tables; and summing the at least two result array tables to obtain a matrix operation result of the first matrix and the second matrix. By adopting the technical scheme, the problem that in the prior art, when large matrixes are multiplied, the operation amount of each time of operation is large is solved.

The invention discloses a quick pulse compression method on the basis of sparse inverse Fourier transformation. A step of inverse Fourier transformation of the traditional frequency-domain pulse compression method is replaced by sparse inverse Fourier transformation on the basis of sparse characteristics of pulse compression output time-domain signals, so that quick pulse compression can be carried out on large time-bandwidth product signals, and the pulse compression computational complexity can be lowered; the proposed quick pulse compression method can be improved when echo signals of targets are weak, Doppler filtering is carried out on the weak echo signals of the targets among pulses at first to improve output signal-to-noise ratios of the signals, then quick pulse compression is carried out on the signals on all Doppler units after Doppler filtering is carried out on the signals, and in other words, sparse inverse Fourier transformation is implemented during pulse compression. Compared with the prior art, the quick pulse compression method has the advantages that the computational complexity can be lowered to a great extent while the performance of the traditional frequency-domain pulse compression method is unchanged, and the weak signals of the targets can be correctly detected.

The invention provides a high efficiency FIR filter cascade DFT algorithm. Convolution definition is utilized, a calculation formula for R(M+N-1) and I(M+N-1) filtering coefficients of an M-order FIR filter cascade N-point DFT algorithm is derived, after a filtering coefficient after cascade is calculated in an off-line mode, two independent filters are integrated into one filter, calculation efficiency is improved, a problem of large operand caused by filter cascade is effectively solved.

The invention belongs to the technical field of low-altitude angle measurement engineering, and especially relates to a super-resolution high-precision low-altitude angle measurement method based on the rapid storage technology. The method comprises the steps: carrying out the pulse compression processing of the received radar echo data, carrying out one-to-two processing, carrying out the conventional processing of a radar echo pulse voltage signal, transmitting the processed signal to a rear-end terminal monitoring module, enabling the terminal monitoring module to give the distance and azimuth information of a detection target, and finding the corresponding distance unit data in an angle measurement processing module for angle measurement processing according to the distance and azimuth information of the detection target. According to the invention, the method solves a problem that a conventional super-resolution low-altitude angle measurement technology needs big transmission bandwidth and extremely strong processing capability, and needs to meet the requirements of the real-time performance of a radar. The method is better in popularization capability, and can be widely used for the fields of aviation detection and radar application.