49results about How to "Close to practical application" patented technology

The invention relates to a dynamic spectrum access method with a network cognition ability, belonging to the technical field of wireless communication. The dynamic spectrum access method comprises the following steps of: (1) channel allocation: available spectra are segmented into a series of frequency bands, the frequency bands are different in bandwidth and transmitting ranges, and the frequency bands are channels; each channel is completely orthogonal, and a secondary user can use multiple channels at the same time; when several users use the same channel at the same time within a certain range, conflicts and interference occur; and the positions of all users are permanent; (2) channel access: in a cognitive wireless network, the secondary users fully utilize channels not used by primary users, i.e. the secondary users take full advantage of idle time slots of channels allocated to the primary users; and the primary users using the channels do not take the existence of the secondary users into account by using a second-order Markov Model; and (3) channel switching.

The invention discloses a positioning method based on arrival time of unknown starting time in the non-line-of-sight environment. The method comprises steps of firstly establishing a model of a signal transmission distance between a target source and each sensor; obtaining a description of the measurement noise based on the model; according to the description of the measurement noise, using the robust weighted least squares method under the worst case to obtain the positioning problem in the environment of unknown signal transmission start time and non-line-of-sight errors, and converting the positioning problem into a non-convex positioning problem; by introducing auxiliary variables and using the second-order cone relaxation method, obtaining a second-order cone programming problem; and finally, using the interior point method to solve the second-order cone programming problem to get the final estimation value of the coordinate position of the target source in the reference coordinate system. The method has the advantages of being capable of simultaneously solving the problems of the unknown signal transmission start time and the non-line-of-sight errors so as to improve the positioning accuracy.

The invention discloses a machining process-oriented mobile robot system calibration method and system. The method comprises steps of constructing different coordinate systems based on a laser tracker; constructing an omni-directional moving platform coordinate system, a robot base coordinate system, a robot tail end flange coordinate system and a to-be-machined workpiece coordinate system througha laser tracker; performing robot kinematics parameter identification based on the laser tracker; measuring target points of a robot under different poses through the laser tracker, establishing a kinematics parameter model, and identifying kinematics parameters; calibrating the motion pose of the robot; correcting the operation parameters of the robot by adopting the calibrated motion parametersso as to calibrate the motion pose of the robot; moving the robot to different stations; performing coordinate system conversion relation calibration based on the laser tracker; measuring a space point target point through the laser tracker, and adopting an improved weighted singular value decomposition algorithm to realize calibration of the coordinate system conversion relationship; performinga machining program, and guaranteeing the correct mobile robot machining process.

The invention discloses a design method for a high speed pantograph multiple-target robust Hinfinity controller. The method comprises the following steps: establishing a nonlinear pantograph-contact wire system model; establishing a single overhead line system model; establishing a pantograph-contact wire system state-space model; designing a multiple-target robust Hinfinity controller. The establishment of the pantograph-contact wire system state-space model is the basis for calculating a state feedback gain matrix; the random measurement loss has strong practical significance, so that the control on the initiative control force and pantograph bow lifting volume is necessary on the basis of consideration for the practical application; the pantograph-contact wire system is complex in running environment and is easily disturbed by the external environment and the model possibly has a modeling error, so that the application of the robust controller can guarantee the stability and robustness of the system; the method provided by the invention has better control performance and practicability.

The invention discloses a robustness weighted least square positioning method in a mixed environment based on arrival time, and the method comprises the steps: building a reference coordinate system in a wireless sensor network; describing a signal transmission distance between a target source and each sensor in a mode of a sight distance model and a mode of non-sight-distance model; obtaining a positioning problem in the mixed environment based on the arrival time according to the sight distance model and the non-sight-distance model through employing the robustness weighted least square method under the worst condition, and obtaining a non-convex positioning problem; introducing an auxiliary variable to the non-convex positioning problem, employing a second-order cone relaxing method, and obtaining a second-order cone planning problem; finally solving the second-order cone planning problem through an interior point method, and obtaining a final estimation value of the coordinate position of the target source in the reference coordinate system. The method is advantageous in that the method gives full consideration to the two states: sight distance and non-sight-distance, makes the most of path state information, achieves the targeted processing of the non-sight-distance error, and is high in positioning precision.

The invention relates to a poor student subsidization recommendation method based on school behavior data multidimensional analysis. Compared with the prior art, the method solves the defects that theaccurate recommendation of a poor student to be subsidized is difficult in realization. The method comprises the following steps that: obtaining historical behavior data; extracting the features of the historical behavior data; training a recommendation model; obtaining behavior data to be analyzed; extracting the features of the behavior data to be analyzed; and obtaining a recommendation result. By use of the method, on the basis of the school data generated by the student, the features of multiple dimensions are extracted, the features are used for establishing a classification model, anda poverty situation of the student can be accurately judged by virtue of the classification model, and a decision is made.

The invention belongs to the technical field of image processing, and particularly discloses a hyperspectral image group sparse demixing method based on empty spectral information abundance restraint. The method comprises the steps of inputting a hyperspectral image data set and a standard spectrum bank, conducting adaptive grouping on hyperspectral image data with the mean-shift algorithm, conducting group sparse demixing on each group of hyperspectral image data, trimming the spectrum bank with the abundance matrix of each group of hyperspectral image data as the criteria, and outputting a hyperspectral image data sparse demixing result. According to the method, the structural features of hyperspectral data and spectrum bank data are considered, group sparse demixing and spectrum bank trimming are adopted for hyperspectral image demixing, and hyperspectral data sparse demixing precision is improved. The semi-supervision-based hyperspectral image demixing method has the advantages of sparse demixing and is high in demixing precision and effective.

The invention discloses a power distribution method of a cognitive radio network based on NOMA technology. The method is carried out according to the following steps: 1) establishing a system model and analyzing the communication situation of a secondary user in an edge region; 2) establishing an objective optimization model; 3) solving the objective optimization problem to optimize the maximum information transmission rate of the secondary users and the transmission power of the primary user base station. The objective function proposed by the invention is a standard convex optimization problem and can be directly solved. The invention can study the optimal power distribution problem between the secondary user transmitting end and the relay node on the premise of ensuring the communication quality of the primary user, so as to realize the maximization of the throughput of the secondary user.

The invention discloses a built-in blade motor type energy recovery absorber. The built-in blade motor type energy recovery absorber mainly comprises a cushion cylinder, a piston, a motion conversion mechanism and a generator; the cushion cylinder comprises a cylinder body and a hollow piston rod, the piston consists of a blade motor, an upper sealing plate and a lower sealing plate, the piston is built-in in a cylinder body, and the cylinder body is divided into an upper oil cavity and a lower oil cavity. When an automobile vibrates on uneven roads in a driving process, the pressure of the upper oil cavity and the lower oil cavity is unequal to cause a pressure difference; oil in a high pressure cavity flows to a low pressure cavity through a piston, blades in the piston are pushed to rotate, and the motion conversion mechanism is used for converting two-way rotation of the blade motor into single rotation, so as to drive a generator to power and recover the vibrating energy in an electric energy way. The built-in blade motor type energy recovery absorber provided by the invention is simple in structure, the vibrating energy of the automobile can be effectively recovered, and the fuel oil consumption of the automobile can be reduced.

The invention discloses a multi-base sonar positioning method based on a signal arrival time difference, and the method comprises the steps: building measurement models of two conditions through considering the assumption that the real propagation speed of a signal is a known distributed random variable and the real propagation speed of the signal is completely unknown; converting the measurementmodels of the two conditions into a linear relation equation, arranging the linear relation equation into a matrix form, and converting the matrix form into a weighted least square problem; convertingthe weighted least square problem of the two conditions into a non-convex constraint optimization problem, relaxing the non-convex constraint optimization problem into an easy-to-process convex problem, and adding additional constraints to tighten the problem; solving the tightened convex problem under the two conditions to obtain an optimal solution of the to-be-optimized variable so as to obtain preliminary estimated values of the target position under the two conditions; optimizing again by utilizing the preliminary estimated values to obtain a final estimated value; the method has the advantage of good target positioning performance.

The invention provides a spectrum auction method based on imperfect spectrum detection in CoMP system. The method comprises the following steps: S10, the primary stage, which comprises the following processes: performing static cell clustering in the CoMP system, selecting a fixed cooperative cell set of multiple cells, and setting cooperative user equipment in each cooperative cell as multiple; S20, the spectrum detection stage, which comprises the following processes: performing idle spectrum detection by use of a cognitive spectrum sensing technology, and collecting idle frequency band to perform the auction preparation; S30: the auction stage: establishing a spectrum auction model based on imperfect spectrum detection, designing a purchaser, a seller and a spectrum broker, optimizing a purchaser revenue function, and selling the idle frequency band at auction in the time slot by use of a first price sealed auction scheme. By use of the method provided by the invention, the spectrum utilization efficiency of the CoMP system is improved, and then the overall throughput of the system is improved.

The invention discloses a clutch meshing pressure self-learning method of a double-clutch gearbox. The method includes: acquiring an expected pressure value of a clutch, outputting a control signal according to the expected pressure value to control an electromagnetic valve to apply pressure on the clutch, and testing an actual pressure value; when a difference of the actual pressure value and theexpected pressure value exceeds a preset range (like when the difference is increased suddenly), storing the actual pressure value; repeating the above steps, and storing multiple actual pressure values to form a sequence, wherein an average value of the actual pressure values in the sequence is the clutch meshing pressure self-learning value. By the method, the accurate clutch meshing pressure self-learning value can be acquired; the learning result is more stable and closer to actual application. In addition, the method can reduce calibration workload, thereby having obvious actual operation advantages.

The invention discloses a positioning method in a mixed sight distance and non-sight-distance environment based on received signal strength. The positioning method comprises the following steps: constructing a model for the signal intensity of a measurement signal received by a receiving sensor; converting the model by introducing balance parameters of extra loss caused by non-line-of-sight errorsso as to obtain a corresponding first-order Taylor expansion expression and a corresponding first-order Taylor simplification expression; constructing a robust weighted least square problem accordingto the first-order Taylor simplified expression; utilizing an approximate relation, an upper mirror image method and an S-Lemma theorem, introducing an error upper bound of extra loss, and convertingthe error upper bound into a robust weighted least square simplification problem; converting a robust weighted least square simplification problem into a positive semidefinite programming problem byusing a convex relaxation method; and solving the positive semidefinite programming problem to obtain an estimated value of the coordinate position of the target source. The method has the advantagesthat the problem that non-line-of-sight errors exist in the measurement environment can be solved, and therefore, the positioning precision can be improved.

The invention provides a method of calibrating a transmission line aeolian vibration online monitoring device. The method comprises steps: 1, the transmission line aeolian vibration online monitoring device is connected with a measuring standard device; 2, the vibration excitation frequency and the vibration excitation amplitude outputted by the measuring standard device are set; and 3, the measuring value of the transmission line aeolian vibration online monitoring device is acquired, and the measuring value and the actual output value of the measuring standard device are compared. The method of calibrating the transmission line aeolian vibration online monitoring device provided by the invention has the advantages that the actual working condition of the transmission line aeolian vibration online monitoring device can be simulated to the maximum degree, and data measured by the transmission line aeolian vibration online monitoring device are closer to actual application compared with relative vibration data by an acquisition unit relative to a mounting interface.

The invention relates to an antenna-by-antenna power robust optimization method based on an NOMA system, and the method comprises the following steps: S1, building a constraint optimization target problem of the NOMA system, wherein the constraint optimization target problem comprises an antenna-by-antenna power minimization model and the quality constraint of robust user service; S2, converting the robust user service quality constraint into a quadratic matrix inequality, and converting a constraint optimization target problem into a positive semidefinite programming problem; and S3, solving the positive semidefinite programming problem to obtain an optimal solution or a sub-optimal solution of the positive semidefinite programming problem. According to the scheme, the antenna-by-antenna power model is established, the quality constraint of the robust user service is given, then the S lemma and the positive semidefinite technology are applied to convert the optimization problem into the positive semidefinite planning problem, and finally the positive semidefinite planning problem is solved, so that the optimal solution or the sub-optimal solution of the original problem is rapidly solved, the robustness of the system is improved, and the system is closer to practical application.

The invention discloses a method for generating a single-carrier digital modulation interference signal and an interference case library, and belongs to the technical field of wireless communication interference. According to the method, a binary single-carrier digital modulation signal is taken as a research object, and an interference signal of the signal under an additive white Gaussian noise channel and a generation method of an interference case library are researched. The method is realized by an interference signal generation system, and the system comprises an interference signal generation module, an interference case library and an interference decision module. According to the system, an interference signal capable of enabling the bit error rate of a single-carrier digitally modulated communication signal to be actually effective is generated through an interference signal generation module; communication signal parameters are changed, generated interference signals are input into an interference case library to be accumulated, finally, interference signals suitable for existing interference equipment resources are output through an interference decision module accordingto enemy communication signals intercepted by the jammer, and the interference signals are closer to actual application occasions.

The invention belongs to the technical field of wireless communication, and discloses a dynamic bidirectional spectrum allocation method for resisting Sybil attack of a primary user and an intelligentterminal, and aims to defend against innovative Sybil attack of the primary user so as to dynamically correspond to a bidirectional anti-strategy control spectrum auction model for quoting accordingto a flexible and real estimation value and determine a bidding relationship between the primary user and a secondary user in the model. Spectrum auction is carried out through a specific bidding strategy; an auction theory and an auction mechanism are adopted to prevent Sybil attacks of a primary user, and spectrum auction is carried out on line through a bidding strategy. According to the method, auction models in economics are integrated, and an online dynamic spectrum auction mechanism capable of meeting the flexible requirements of secondary users for channels and resisting Sybil attacksof bidding is designed; through the mechanism, the primary user and the secondary user can bid the spectrum by submitting different requirements of the users for the spectrum and corresponding estimation functions, Sybil attacks of illegal primary users are prevented, and a better spectrum sharing mechanism is realized.