49 results about "Guess value" patented technology

The invention provides a block balancing method for an orthogonal frequency division multiplexing (OFDM) system on the condition of a fast time variant channel. The method comprises the following: at a sending terminal, a bit signal subjected to cyclic redundancy codification is subjected to channel codification, interlacement, symbol map, serial/parallel conversion and IFFT conversion to be converted to a time domain signal; the time domain signal which is subjected to serial/parallel conversion and is inserted with a cyclic prefix is sent to a radio channel; at a receiving terminal, the signal is received by a traditional first-order frequency domain equalizer, and the signal guess value is checked after the signal is subject to serial/parallel conversion, demap, deinterlacement and signal path decoding; if the check is correct, the signal is outputted; if the check is not correct, the block balancing process is performed, during which, firstly, a time domain OFDM sending signal is restructured; secondly, the received time domain OFDM symbol is divided into a plurality of equilong signal receiving subblocks, the loop restructuring and the interference removing processes are performed by a time domain OFDM restructured signal; and finally, each subblock is subjected to frequency domain balance, the balanced guess values of sub blocks are merged to obtain the block balance output serving as the input of the serial/parallel conversion.

The invention relates to an elevator non-load traction capacity detecting method, belonging to the elevator detecting technical field. The method comprises the steps as follows: firstly, a carriage and a counter-weight side wire cable are fixed, thereby preventing relative displacement between wire cables at the two sides of a traction sheave; secondly, an elevator tractor brake is released so that a reducer gear is in free status and the value of a sensor fixed on a counter-weight side wire cable is read; the traction sheave rotates along clockwise direction until the relative sliding between the traction sheave and a traction cable occurs, and then the valve on a counter-weight side pressure sensor is read; and finally, a traction sheave rotates along counter clockwise direction until the relative sliding occurs between the clockwise direction and the traction cable and the value on the counter-weight side pressure sensor is recorded. The detected data are treated so as to finally obtain maximum carriage static load of an elevator tractor system. The method has the advantage that the practically detected value is used in computing formula to the maximum and the theoretical value or the guess value is reduced as much as possible, thereby obtaining a more precise detected value.

The invention relates to a topographic surveying method, the method comprises: full polarizing synthetic aperture radar compound image by a single path and calculating to obtain a polarization position angle offset value of each earth's surface unit in the irradiation area adopting circular polarization algorithm; calculating an incidence angle and the resolution of each earth's surface unit by system parameters; calculating the grade guess value of each earth's surface unit by compensation Lambert algorithm; calculating the absolute elevation value of each earth's surface unit by the complete multiple gridding algorithm. A moderate accuracy grade and digital height model can be rapidly obtained by the single path full polarization synthetic aperture radar slant distance compound image data. The method of the invention is characterized in that, the limitation for acquiring radar data is less, the dependence on the exterior data is less, the automatization degree is high and the computational efficiency of the integral process flow is high, thereby the terrain is visible and the application field has larger application value.

The invention relates to a carrier wave aided tracking method used in a high-dynamic double frequency GPS, which is as follows: a carrier wave phase lock tracking loop and a pseucode delay locked loop are executed for regulating carrier wave NCO and C/A code NCO of local L1 frequency points to generate guess values deferred by an L1 carrier wave phase and a C/A code; a half codeless method is used for tracking L1-P (Y) signals by using a pseucode delay locked loop (DLL); an L2-P code generator is initialized; according to the guess value of an L1 loop carrier wave phase, reference oscillator frequency offset dissolved by a positioning resolving module, phase demodulation difference of an L2 carrier wave phase lock tracking loop (PLL), the carrier wave phase value of L2 frequency points is jointly estimated; a carrier wave NCO is regulated, and the local L2 signal carrier wave is recurred; the half codeless method is used for precisely tracking input L2 signals. The L2-P carrier wave tracking using the method can obtain higher tracking accuracy, lower tracking threshold and more stable loop in high-dynamic environment.

The invention discloses a recognition system and a recognition method for a verification code of a mobile platform. The recognition system comprises a mobile platform verification code intercepting module, a verification code de-noising module, a verification code binaryzation module, a verification code recognition core module and a self-learning module, wherein the mobile platform verification code intercepting module is used for intercepting an original verification code image from the mobile platform to a verification code recognition system; the verification code de-noising module is used for de-noising the original verification code image through a median filtering algorithm so as to acquire a secondary verification code image; the verification code binary module is used for converting the secondary verification code image into a black and white bicolor image and cutting into a plurality of verification code sub-blocks; the verification code recognition core module is used for recognizing the well-cut verification code sub-blocks, acquiring a character string represented by the verification code and calculating an equation value represented by the character string; and the self-learning module is used for speculatively trying the possible optimizing character string and automatically recording a speculative value into a self-learning database if the speculative value correctly passes. The recognition system provided by the invention can be used for quickly and automatically recognizing the verification code contained in an interface supplied by the mobile platform and promoting the user experience.

The invention discloses a sea surface wind speed inversion method based on a cross polarization model and CMOD5N. The method comprises the steps of: according to the CP model and a C-2PO method, utilizing VV polarization and VH polarization SRA images to carry out inversion and obtain an initial wind speed U0 and an initial wind direction [phi]0 of a reconstruction resolution unit; determining wind field vectors (U, [phi]) according to the initial wind speed U0 and the initial wind direction [phi]0, using the wind field vectors (U, [phi]) as a first guess value, and utilizing a CMOD5N algorithm to gradually traverse and calculate normalized radar scattering cross sections NRCS of corresponding VV polarization in upper and lower limit ranges of the wind speed and the wind direction with the first guess value serving as a center; and finding out the wind speed and the wind direction which have the smallest differences with the normalized radar scattering cross sections NRCS of VV polarization SRA images, wherein the wind speed and the wind direction having the smallest differences are the wind field vectors obtained by inversion. According to the invention, the wind speed inversion precision of the existing C-2PO method is generally improved in different SAR image reconstruction resolution scale situations.

The present invention discloses a turboshaft engine self-adaptive model building method based on a modified Broyden algorithm to solve an equation set. The method comprises: matching a self-adaptive model with a real engine by forming and solving the equation set. A non-linear equation set is established according to a principle in which a model outputs a tracked real engine output and in combination with a coacting equation between engine parts, and the equation set is solved by using a modified Broyden algorithm, to acquire a part performance degradation parameter and a turboshaft engine part level model guess value. The modified Broyden algorithm is based on a Broyden quasi-newton method and is combined with a computation divergence determination and correction mechanism, so that computation accuracy and real-time performance are improved. The performance degradation parameter acquired by solving the equation set is introduced into a turboshaft engine part level model as an adjustable parameter, so that the model has a self-adaptive capability.

The invention discloses a method selecting strong path, which selects a plurality of strong paths from the subdistrict according to channel impulse response (CIR) guess value of the subdistrict and a pre-set sets first threshold firstly; then the method selects a plurality of strong paths from adjacent subdistricts according to CIR guess value of each adjacent subdistrict and a pre-set sets second threshold; at last, when the total number of the selected plurality of strong paths is larger than upper limit Q of the number of the pre-set strong paths, Q strong paths are selected from the selected plurality of strong paths. When the invention is applied, selected path can be in line with the needs of multi-subdistrict joint channel guess value to the strong path, complexity of the multi-subdistrict joint channel guess value can be controlled in a certain range, and strong path selection with high accuracy is realized.

The invention discloses an intelligent task reconstruction method for a carrier rocket in an ascending stage under a thrust drop fault. The method comprises the following steps: acquiring an optimal rescue orbit and a corresponding flight path by adopting a self-adaptive point collocation method; extracting an optimal track from the flight tracks corresponding to the optimal rescue track, performing interpolation on the optimal track according to discrete flight time nodes, and generating a fault state-optimal track data set; performing normalization processing on the data set by adopting a maximum-minimum method, selecting a radial basis function neural network data center through an orthogonal least square method, and establishing a relation from a fault state to an optimal trajectory; migrating the radial basis function neural network to actual flight of the rocket, wherein the radial basis function neural network decides an approximate optimal trajectory online; and utilizing the decided approximate optimal trajectory as an initial guess value, and carrying out online solving by adopting a self-adaptive pseudo-spectral method to obtain an optimal rescue trajectory and a flight trajectory. According to the method, the rescue track and the corresponding flight path can be optimized on line at the same time, and the calculation time is saved.

The invention discloses an equipment thermal stress field efficient detection method based on multi-parameter coupling, and the method comprises the following steps: S1, selecting N temperature sampling points on the surface of detected equipment, setting a guess value Pi of a thermal boundary condition P, wherein i is an iteration coefficient; S2, establishing a temperature/thermal stress semi-analytical solution model of the equipment according to the guess value Pi of the thermal boundary condition P; S3, establishing a constraint dispersion fuzzy reasoning model according to the temperature/thermal stress semi-analytical solution model of the equipment, and obtaining a constrained thermal boundary condition P and other to-be-inverted parameters; S4, according to the constrained thermal boundary condition P and other solved to-be-inverted parameters, reconstructing a temperature field mathematical model and a thermal stress field mathematical model of the equipment; and S5, calculating the thermal stress of the equipment according to the reconstructed mathematical models of the temperature field and the thermal stress field. The method optimizes the inversion algorithm, improves the calculation efficiency, and can achieve the real-time monitoring of the thermal stress of the equipment.

The inveniton provides a method for improving ocean forecasting precision based on analysis of four-dimensional set variation. The method comprises the following steps: respectively adding disturbance values to an initial field guess value and an external forced field to form a set sample, rewriting an evolution equation for analyzing the four-dimensional set variation according to the set sample, and expanding a disturbance quantity until recursion to an initial moment; when the initial field guess value is irrelevant to the external forced field statistics, obtaining two special background field error covariance matrixes respectively containing tangent linear evolution matrixes and corresponding adjoint matrix information; performing disturbance expansion near the initial field guess value to obtain a relationship between a state variable at any moment in the future and a tangent linear evolution matrix and a disturbance quantity, and constructing a target function after disturbance; solving the gradient of the disturbed target function to the disturbance quantity; and the obtained initial field guess value is the optimal initial field guess value until the gradient of the disturbed target function to the disturbance quantity infinitely approaches zero. According to the invention, the applicability of the four-dimensional set variation method is improved, and the prediction error is effectively reduced.

The invention discloses a solid-liquid phase change material surface heat flow measurement method and system based on a dispersion fuzzy reasoning mechanism. The method comprises the steps of: S1, building a solid-liquid phase change material internal radiation heat conduction coupling heat exchange model, and giving an initial guess value of material surface heat flow distribution; S2, selecting M temperature measuring points, and recording temperature information; S3, calculating the temperatures of the M measuring point positions along with the time change; S4, establishing an input signal of surface heat flow measurement according to the measured values and the calculated values of the temperatures of the M measuring points; S5, constructing a fuzzy reasoning unit for measuring the surface heat flow of the solid-liquid phase change material, and obtaining a reasoning result; S6, constructing a dispersive fuzzy reasoning module based on the fuzzy reasoning unit and a comprehensive weighting coefficient; and S7, updating the heat flow distribution according to an output result of the dispersive fuzzy reasoning module, and checking iteration. The system is used for executing the method. The method and system have the advantages of simple principle, easiness in implementation, simplicity and convenience in operation, high measurement precision and the like.

The invention discloses a parameter estimation method for a bioelectric impedance Cole equation, intelligent equipment and a storage medium. The method comprises the steps that according to amplitudevalues and phase values of potential differences measured under frequencies, real parts and imaginary parts of impedance values are calculated; according to the real parts and imaginary parts of the impedance values, an initial guess value and constraint range of each parameter are determined; according to the initial guess value and constraint range of each parameter, fitting parameters and fitting impedance values are determined; according to a threshold of an error sum of squares of the fitting impedance values and measurement values, an optimum fitting parameter value is determined. The parameter estimation method for the bioelectric impedance Cole equation, the intelligent equipment and the storage medium simultaneously use the real parts and imaginary parts of the impedance values, arithmetic solutions of an equation set are solved, the initial guess values and the constraint ranges are estimated to be used for NLLS fitting, and measures for avoiding noise risks are further adopted, the robustness is very good, the capacity of resisting disturbance is high, parameters of the Cole equation can still be fitted and estimated accurately under the serious situation of noise, thereby obtaining more accurate ECW and TBW values.

The invention relates to the technical field of aero-engine performance simulation, and provides a whole machine variable-dimension simulation performance simulation process control method. The method comprises the steps that relevant parameters of engine design points are obtained according to relevant parameters of the design points of a zero-dimensional engine model, and fan boundary conditions are obtained through calculation of the zero-dimensional engine model; based on the fan outlet static pressure initial guess value, fan performance parameters and zero-dimensional engine model performance parameters are obtained; whether the fan performance parameters and the zero-dimensional engine performance parameters meet the balance relation or not is judged, if not, the following steps are continued, Newton-Raphson algorithm iteration is completed, and engine variable-dimension simulation model performance parameters are obtained. According to the method, automatic calling of zero-dimensional and three-dimensional programs and automatic mutual reading of parameters are realized, complexity and low efficiency of manual calling of the model and input of parameters are avoided, control simulation precision is guaranteed, and calculation burden of a variable-dimension simulation model is remarkably reduced.

The invention discloses a key recovery device for UOV signature. The device comprises a message and signature module, a power consumption curve module, a key operation module, a key guess value module, and a central processing module; the message and signature module is used for generating N message-signature pairs; the power consumption curve module is used for collecting power consumption curvesgenerated during the generation process of each message-signature pair; the key operation module is used for sequentially selecting calculation formulas in which all keys participate during a UOV signature generation process; the key guess value module is used for sequentially selecting elements in GF(2k) as the guess values of the keys in each selected calculation formula; and the central processing module is used for analyzing N power consumption curves when a guess value is selected each time, so as to obtain keys in the UOV signature algorithm. Correspondingly, the present invention alsodiscloses a key recovery method for the UOV signature. With the device and method of the invention adopted, the security problem of the UOV signature can be discovered, so that technical support can be provided for the protection of the UOV.