240 results about "Error factor" patented technology

A high-precision, multi-port compatible, relative correction method and apparatus for correcting measurement errors covering an increase in the number of ports of a non-coaxial electronic component, in which a relative correction adapter 31 is provided that is formed of a two-port network connected to each port of a production test fixture 5B adjacent to a measurement apparatus. The relative correction adapter has a characteristic that modifies the electrical characteristics generated by the production test fixture 5B having an electronic component under test mounted thereon into electrical characteristics generated by a standard test fixture 5A having the electronic component under test mounted thereon. An error factor of the relative correction adapter 31 is identified from a standard test fixture measurement value and a production test fixture measurement value of a correction data acquisition specimen 11B. A production test fixture measurement value of the electronic component under test 11A is corrected with the error factor of the relative correction adapter 31 to thereby obtain the standard test fixture measurement value of the electronic component under test 11A which is assumed to be obtained when the electronic component under test 11A.

The present invention includes a method of optimizing a transmission mode of wirelessly transmitted data. The method includes selecting a first transmission mode based on a predetermined channel database and a first channel characterization. The first channel characterization can be based upon signals transmitted in an initial mode. An error factor is generated based on a difference between an estimated performance characteristic, and an expected performance characteristic. A subsequent transmission mode is selected based upon the predetermined channel database, the error factor and a subsequent channel characterization. The predetermined channel database can include a predetermined look-up-table that provides transmission mode selections based upon the channel characterizations. The look-up-table generally includes a plurality of quality parameter thresholds that determine the selection of a transmission mode. Another method includes receiving transmission signals that include data encoded in an initial transmission mode. A first quality parameter of the received transmission signals is measured. A subsequent transmission mode is selected based upon the quality parameter. Transmission signals are received having data encoded in the subsequent transmission mode. A second quality parameter is measured. A parameter is adjusted within selection criteria of another subsequent transmission mode based upon the second quality parameter.

A method for generating satellite clock corrections for a WADGPS network computers satellite clock corrections after removing other substantial error components. Errors caused by the ionosphere refraction effects are removed from GPS measurements taken at reference stations using dual-frequency GPS measurements. The multipath noise are removed by smoothing of GPS pseudorange code measurements with carrier-phase measurements. The tropospheric refraction effect can be largely removed by modeling, and if desired, can be improved by the use of small stochastic adjustments included in the computation of the clock correction. After removing the above error factors, satellite clock corrections are computed for individual reference stations, and an average clock correction is formed for each of a plurality of satellites by taking an average or weighted average of the satellite clock corrections over reference stations to which the satellite is visible.

Adaptive methods and systems for applying a channel correction factor to received signals to correct errors caused by channel distortion. The channel correction factor is dynamically calculated and updated based on the received signal or signals. A receiver continuously calculates an error factor representing a deviation of the received signal from the signal being transmitted, and generates the channel correction factor based on the error factor. Since the error factor includes information related to channel distortions, the channel correction factor so calculated adapts to the change of channel characteristics. If preferred, an advanced algorithm can be used to predict the channel response for the next incoming signal such that the receiver can correct channel errors on a substantially real-time basis.

The invention relates to a method for measuring the mass concentration of a particulate matter. A processor controls a sampling pump so that airflow enters from a particulate matter collecting unit, atmospheric particulate matter information is acquired, whether an instrument needs to be calibrated is judged, a beta-ray calibration module is started to calibrate the parameter values of a light scattering measurement module if calibration is needed, and the light scattering measurement module is turned on after the parameters are calibrated; and if calibration is not needed, the light scattering measurement module directly carries out measurement. By combining a light scattering method for measuring the concentration of the particulate matter with a beta-ray method, the measurement is accurate and data are directly read on line in real time; the beta-ray calibration module and the light scattering measurement module share one gas path, so as to ensure that various conditions in the calibration process are consistent and reduce error factors; and the parameters of the light scattering measurement module are calibrated by using the beta-ray calibration module when the measurement environment is changed, and the light scattering measurement module is separately utilized to measure the concentration of the particulate matter when the measurement environment is not changed.

The present invention discloses a robust adjusting method of surface precision on a cable network reflective surface based on finite element model correction. The method comprises: building a reference model of an antenna structure on a cable network reflective surface, calculating a sensitivity matrix relating to a cable length in a net surface node position, measuring a position of each node on an entity reflective surface, calculating a desired node displacement when a reflective node is adjusted to an optimal coinciding paraboloid, acquiring adjusting quantity of an optimal robust cable length, exerting the adjusting quantity to an entity reflective surface, measuring to obtain node position of entity reflective surface after being adjusted, simultaneously exerting adjusting quantity of an optimal robust cable length to the reference model, acquiring node position of the reflective surface after the reference mode being adjusted, and implementing correction to the reference model; and repeating the steps until the precision does not increase, that is, finishing robust adjustment for surface precision on an antenna cable network reflective surface. According to the present invention, the influence of error factors and robustness of the adjusting quantity are considered, which ensures astringency during the process of adjusting, and significantly increases the efficiency of reflector surface adjusting.

A method for calibrating a multi-printhead printing system, the method includes the steps of employing an encoder to track movement of a media through the printing system; providing a first printhead that prints a first image plane that includes a first test mark at a first defined location on the media as the media moves relative to the first printhead; providing a second printhead that prints a second image plane that includes a second test mark at a second defined location on the media as the media moves relative to the second printhead; employing a first image capture device that captures an image that includes both the first and second test marks; determining an error factor based on the placement of the second mark relative to the first mark in the captured image; and creating a frequency-shifted pulse train of the encoder in which the frequency shift is based on the error factor; wherein the first printhead prints the first image plane in response to output of the encoder and the second printhead prints the second image plane in response to the frequency-shifted pulse train of the encoder.

In the learning method of rolling load prediction in hot rolling, in the past the prediction error of the rolling load was corrected based on envisioned error factors, but in the complicated rolling phenomenon, there are many influential factors and therefore logical extraction and estimation had been difficult.Therefore, the learning method of rolling load prediction according to the present invention refers to prediction error of a rolling load at an actual pass of a stock in hot rolling to correct a predicted value of rolling load at a rolling pass to be performed from then on, at which time changing a gain multiplied with the prediction error of the rolling load at said actual pass in accordance with a thickness of said stock to thereby set the learning coefficient of the rolling load prediction and improve the precision of the prediction.

The invention belongs to the technical field of analog-digital converters, and particularly relates to a capacitive nonlinear calibration circuit of a bit-by-bit approximation analog-digital converter and a method. The circuit structurally comprises a digital-analog converter, a clock control circuit, a calibration logic control circuit, an error measurement and storage circuit, a summator logic circuit, a comparator circuit and a bit-by-bit approximation analog-digital converter logic circuit. The method comprises the steps that the calibration logic control circuit is switched on, the analog-digital converter starts to carry out error measurement, and the error measurement and storage circuit calculates and stores the error factors of capacitors on all bits respectively; after the error factors are all stored, the calibration logic control circuit is switched off, and the analog-digital converter adds output codes and the error factors through the summator to obtain the final calibration output code. The capacitive nonlinear calibration circuit and the method are suitable for the high-precision low-power-consumption bit-by-bit approximation analog-digital converter, and mainly have the advantage that under the condition of not adding extra analog circuits, nonlinear errors caused by stray capacitors and capacitor array mistaching in a calibration capacitor array and hardware and power consumption cost are low.

When cancelling interference in a radio communication device for repeatedly decoding / receiving a spatially multiplexed signal, if a symbol of erroneous judgment is contained or if an error factor caused by a propagation channel estimation error or hardware error (carrier frequency error, sampling frequency error) is contained, reception characteristic is degraded by an interference signal component. The radio communication device (100) includes an error estimation unit (13) for estimating an error of a replica signal during interference cancelling and a weighting unit (14) for weighting likelihood information for a spatially multiplexed signal which is demultiplexed and multiplexed after the interference cancelling. Accordingly, even if an error of the replica signal during interference cancelling is contained, it is possible to obtain preferable reception characteristic.

The invention discloses a method and equipment for suppressing interference and belongs to the field of wireless communication. The method comprises the following steps of: adjusting a filtering threshold and a signal threshold value according to a position of a receiving end, an external environment and a signal propagation error factor; when suppressing interference in the signal has a narrow-band type, intercepting the signal through a window function, and removing the suppressing interference of which the frequency spectrum exceeds the filtering threshold from the intercepted signal; when suppressing interference in the signal has a wideband type, acquiring an interference cancelling signal, and removing the suppressing interference from the signal by utilizing the interference cancelling signal; and determining whether the signal is deception interference according to the signal threshold value, if so, discarding the signal, otherwise, determining that the signal is a normal signal. The interference can be suppressed under the condition that interference characteristics are not known in advance, and the wideband interference can be suppressed, and the deception interference is effectively suppressed.

The invention relates to a system correction and magnetic interference compensation and fusion method for an airborne fluxgate magnetic gradient tensiometer. The method comprises the following steps: establishing an aircraft magnetic interference mode, establishing a single fluxgate error model, fusing the magnetic interference model and the fluxgate error model, establishing a magnetic gradient tensor component correction and compensation model, acquiring correction data from a uniform magnetic field area in the air, resolving a magnetic gradient tensor correction coefficient and inputting the measurement value and correction parameter of a three-axis fluxgate magnetic file into the magnetic gradient tensor component correction model, and calculating the corrected and compensated magnetic gradient tensor. The method provided by the invention has the advantages of completely covering the error factors of the airborne fluxgate magnetic gradient tensiometer and the aircraft magnetic interference type, expressing and solving in the correction model uniformly, realizing the solution of fusion of two problems of correction and compensation, and simultaneously completing the correction and compensation only by high-altitude correction and compensation flight. An iterative method is simple and practical, and a linear equation is solved by a least square method to ensure the correctness of the solution.

The invention discloses a calibration method and device for an angle encoder. The method comprises the steps that a stepping motor is controlled to rotate by at least 360 degrees step by step, the angle data of the stepping motor after the stepping motor rotates by the appointed angle are collected step by step through a high-precision encoder and the angle encoder to be calibrated so as to obtain a plurality of angle data sets, error factors are initialized, a plurality of error factor sets are generated and serve as particles, and an optimal error factor set is selected as a calibration result to be output according to the particle swarm optimization and the angle data set. The device comprises a host, a stepping motor controller and a base support. The base support is provided with the stepping motor and the high-precision encoder. An output shaft of the stepping motor is respectively connected with the angle encoder and the high-precision encoder. The high-precision encoder and the angle encoder are respectively connected with the host. The stepping motor controller is connected with the stepping motor. The device has the advantages of being high in calibration precision, low in calibration cost, small in needed calibration data size and high in calibration speed.

The invention which discloses a precision compensation method for an area APS digital sun sensor belongs to the spacecraft attitude control measure system field. The precision compensation method comprises the small-angle incidence angle precision compensation and the wide-angle incidence angle precision compensation. The precision compensation method comprises the following steps: 1, carrying out primary rotation correction on the solar faculae center coordinate value which is obtained through the calculation of a sun sensor image processing chip and is input by the sun sensor image processing chip; 2, carrying out secondary correction on the coordinate value of the wide-angle incidence angle, and utilizing the rotarily-corrected coordinate value to do the coordinate mapping of a refraction model; 3, calculating through an uniaxial higher-order polynomial fitting process to obtain the solar angle tangent value, utilizing the rotarily-corrected coordinate value to calculate if the incidence angle is a small angle, and utilizing the secondarily-corrected coordinate value to calculate if the incidence angle is a large angle; and 4, finding the arc tangent to obtain the sun angle value. The precision compensation method which is suitable for the precision compensation of the area APS array digital large-field sun sensor has the advantages of major error factor compensation and high precision.

According to one embodiment, a memory system includes a NAND-type flash memory and a memory controller. A comparison module of the memory controller compares a first threshold voltage distribution of a first memory area with a second threshold voltage distribution of the first memory area acquired earlier than the first threshold voltage distribution, if an error is detected in data read from the first memory area. An error factor determination module of the memory controller determines a cause of the error based on the comparison result, and inhibits a data move operation of moving data of the first memory area to the second memory area based on the determination result.

The invention provides an LOD model generation method based on a linear quadtree. The method comprises the following steps: performing linear quadtree segmentation on to-be-drawn terrain, storing data of the to-be-drawn terrain in a two-dimensional array, reading information of each node in the linear quadtree from the two-dimensional array through an index, storing leaf node information of the linear quadtree, organizing terrain nodes, enabling the terrain nodes in the linear quadtree to be stored in a one-dimensional array, establishing a terrain node evaluation mechanism on the basis that a static error and a dynamic error are considered, performing crack elimination on different segmentation levels of the adjacent terrain nodes, and obtaining an LOD model based on the linear quadtree. The method is applied to a terrain simplification aspect in a computer graphics and image field, and the terrain nodes are organized by utilizing a linear quadtree storage model and through combination use of a two-dimensional filling curve; on the basis that error factors are fully considered, the node evaluation mechanism is established, and a terrain crack problem is eliminated; and terrain drawing efficiency can be obviously improved.

The invention discloses an MEMS inertial navigation system and a track reconstruction method based on the same. A six-position method is applied to error factor identification on a gyroscope and an accelerometer, a static error model is obtained, and therefore static errors are compensated; the random error of the gyroscope and the accelerometer is remarkably reduced through filtering of a low pass filter, noise is lowered, and output precision is improved. A complementary filter algorithm is adopted for effectively combining the updated attitude angles of the gyroscope and the accelerometer to obtain an attitude matrix. The attitude matrix is used for acceleration conversion and gravity compensation, and then the triaxial acceleration of a navigation module in an inertial coordinate system is obtained. Finally, track and speed information is obtained through iterative dual integration. The independently solved attitude angles of the accelerometer and the gyroscope are combined through the complementary filter algorithm, divergency of drifting of the attitude angles can be restrained, and attitude calculation is greatly improved in a dynamic state and a static state.

A single exposure method and a double exposure method for reducing mask error factor and for enhancing lithographic printing-process resolution is presented. The invention comprises decomposing a desired pattern of dense lines and spaces in two sub patterns of semi dense spaces that are printed in interlaced position with respect to each other, using positive tone resist. Each of the exposures is executed after applying a relative space-width widening to the spaces of two corresponding mask patterns of semi dense spaces. A factor representative for the space-width widening has a value between 1 and 3, thereby reducing mask error factor and line edge roughness.

The invention discloses an on-line calibrating method of inertia / astronomy combination system error. According to the method, prior attitude information provided by strapdown inertial navitation is used to obtain a prediction coordinate of a fixed star coordinate at a star sensor image, a star atlas identification algorithm is used for realizing coupling of star point position through practical shooting and the predicted coordinate, accurate connection of deviation of a star point prediction image position coordinate and the practical star point image coordinate as well as error with inertialnavitation attitude, error with the star sensor internal and external parameters and the amount of dispersion with the star point coordinate can be established, and the estimation and compensation ofthe inertial navitation and the star sensor error can be realized by using a Kalman filtering algorithm. The method can realize global calibration on all error factors, increases the comprehensive performance of an inertia / astronomy combination navigation system, and can reach optimum combination. The method can avoid an attitude solving method of the star sensor, normal work of a filter in a viewfiled under less available star numbers (if the star number is less than 3), the effective rate of the observation information is increased, and the algorithm reliability is increased.

A three-floating gyro calibration test system is used for providing AC and DC power for gyro and various circuits and completing debugging, testing and calibration of the three-floating gyro, and comprises a test device and a digital universal meter. The test device comprises an AC power supply box, a test box, a magnetic levitation measurement and control box, a preamplifier, a gyro tool, a first digital universal meter, a second universal meter and a test data acquisition analyzer. The control of a gyro float in the spatial five degrees of freedom is realized by the magnetic levitation control circuit. A gyro temperature control loop is a premise of ensuring the normal work of the gyro in the set temperature point, a platinum resistor is taken as a sensitive element and a heating resistor is regarded as an actuator for heating the gyro. A force feedback loop and the gyro form a feedback system for testing gyro and calibrating each error factor. The gyro tool is controlled at a stable temperature point by an environmental temperature control circuit to provide a good temperature environment for the work of the gyro.

A method for predicting the quality of products on a reconfigurable production line comprises the following steps: (1) selecting quality control points of key procedures, detecting on line, recording the quality information of parts, analyzing error factors in processing, and storing the related information in a quality information database of a master server; (2) setting initial parameters for predicting and controlling the quality, adopting the principle that the prevention is first to predict key quality characteristics, modeling the error sequences obtained by the detection in real time, and solving a predicted value of product production; and (3) according to the trend information of the errors and by integrating sensor information on production stations, when the predicted data is beyond an upper control line and below a lower control line, a quality problem is proved to exist in the production course of the product, the devices of each production station need to be inspected, adjusted or compensated, and corrective measures need to be established. The quality of the product on the reconfigurable production line can be predicted by the method.

The invention relates to an optimal design method for robust, especially to an optimal design method for missle trajectory robust, belonging to the technical field of missle trajectory design. The invention determines an expression of each section of missile-making command according to total missile-making request of a weapon system and sets parameters to be determined and switching conditions of each missile-making section in each command expression to be the parameters to be optimized. Under a series of constraint conditions of the weapon system, in consideration of various main interference factors in the missile-flying process, a method for combining a maximum and minimum optimization method and a genetic algorithm optimization method is adopted to optimally design each trajectory parameter. The optimized trajectory has very strong robustness and optimality. Human trial-and-error factors are greatly reduced in the design process; the design period is short so that the engineering is conveniently realized; and the method can be widely applied to trajectory design of various missiles and has important military application prospect.

It is possible to calibrate a measurement system for circuit parameters of a DUT (device under test) by reducing the number of attachments and detachments of calibration kits. An error factor acquisition device includes: a first calibrator (100) connected to ports (18, 28) of a network analyzer and having a first state realization unit (120) for realizing open-circuit, short-circuit, and standard load states for the ports (18, 28) or short-circuiting the ports (18, 28); and second calibrators (200) connected to the first calibrator (100) and the DUT (400) and respectively having a second state realization unit (220) for realizing open-circuit, short-circuit, and standard load states for the ports (18, 28). The first calibrator (100) includes first connection units (110a, 110b) for connecting the ports (18, 28) to the first state realization unit (120) or to the respective second calibrators (200) while the second calibrators (200) respectively include a second connection unit (210) for connecting the ports (18, 28) to the second state realization unit (220) or to the DUT (400).

A vehicle position recognition system calculates an estimated position of a vehicle based on satellite positioning and dead reckoning navigation, and calculates a basic error range in which there is a possibility that the vehicle exists. The system calculates an estimated error amount regarding a directional error factor. The directional error factor is an error factor that tends to cause an error in a specific direction with respect to a vehicle traveling direction. The estimated error amount is an estimated amount of the error that is caused by the directional error factor. The system adjusts the basic error range based on (1) a direction in which the error tends to be caused by the directional error factor and (2) the estimated error amount.

Linewidth variations and bias that result from MEF changes and reticle linewidth variations in a printed substrate are controlled by correcting exposure dose and partial coherence at different spatial locations. In a photolithographic device for projecting an image of a reticle onto a photosensitive substrate, an adjustable slit is used in combination with a partial coherence adjuster to vary at different spatial locations the exposure dose received by the photosensitive substrate and partial coherence of the system. The linewidth variance and horizontal and vertical or orientation bias are calculated or measured at different spatial locations with reference to a reticle, and a corrected exposure dose and partial coherence is determined at the required spatial locations to compensate for the variance in linewidth and bias on the printed substrate. Improved printing of an image is obtained, resulting in the manufacture of smaller feature size semiconductor devices and higher yields.

The invention relates to a second-hand car price making system which comprises an information input module, a standard case data bank, an error factor adjustment data bank and a data processing module. According to the second-hand car price making system, standard cases with prices in a second-hand car trading market as a foundation serve as price estimation standards, dynamic error factor adjustment correction coefficients are introduced, so that estimated price is close to a market price, price estimation errors are reduced from traditional 10% to 5% and price estimation efficiency is high.

The invention discloses an environmental parameter acquisition method based on vehicle networking and a device. The device comprises an OBD communication module which communicates with a vehicle bus to read the data of a vehicle outdoor air temperature sensor, a barometer which acquires atmospheric pressure, a temperature sensor which acquires air temperature data, a humidity sensor which acquires air humidity data, a PM2.5 dust particle sensor which acquires PM2.5 dust particle concentration, a GPS positioning module which is used for acquiring vehicle position data in real time, a microcontroller which is used for carrying out uniform coding on the acquired data, a 4G network communication module which is used for data transmission, and a cloud platform which is used for carrying out uniform processing on the coded data information. According to the invention, environmental parameter measurement and statistical results rely on a large number of terminal devices; the uploaded data are analyzed and processed on a platform end; large error factors are screened and removed; and a measurement result is more accurate than a measurement result of a single sensor.

The invention discloses a relevance vector regression incremental learning algorithm and system based on sample characteristics. The method comprises the following steps of: S1, obtaining an initial sample set, and initializing parameters; S2, training the sample set to obtain an RVM prediction model; S3, calculating a sample label, a local density factor and an error factor of each sample; S4, predicting a future sample to be input according to the RVM prediction model; S5, calculating sample characteristic vectors, arranging the sample characteristic vectors in a descending order, performing circulation, if the time of non-relevance vectors is beyond a set threshold value, deleting the sample from the sample set, and exiting the circulation; and S6, judging whether a new input sample exists or not, if so, adding a new sample to form a new sample set, turning to the step S2, and if not, outputting the predicted future sample. By means of the relevance vector regression incremental learning algorithm and system disclosed by the invention, a sample including effective information can be reserved; an invalid sample can be deleted; the prediction precision is relatively high; the time complexity is relatively low; and thus, the relevance vector regression incremental learning algorithm and system can be widely applied in real-time data processing and prediction.

A high-precision, multi-port compatible, relative correction method and apparatus for correcting measurement errors covering an increase in the number of ports of a non-coaxial electronic component, in which a relative correction adapter 31 is provided that is formed of a two-port network connected to each port of a production test fixture 5B adjacent to a measurement apparatus. The relative correction adapter has a characteristic that modifies the electrical characteristics generated by the production test fixture 5B having an electronic component under test mounted thereon into electrical characteristics generated by a standard test fixture 5A having the electronic component under test mounted thereon. An error factor of the relative correction adapter 31 is identified from a standard test fixture measurement value and a production test fixture measurement value of a correction data acquisition specimen 11B. A production test fixture measurement value of the electronic component under test 11A is corrected with the error factor of the relative correction adapter 31 to thereby obtain the standard test fixture measurement value of the electronic component under test 11A which is assumed to be obtained when the electronic component under test 11A.