The present technology is directed to easily and more accurately acquiring output signals relating to a plurality of inertial sensors. Provided is an information processing device including a combining unit that stepwisely combines output signals relating to a plurality of inertial sensors, in which the combining unit clusters a plurality of the output signals into a plurality of clusters and stepwisely combines the output signals in each of the clusters, and at least one of the clusters includes a plurality of the output signals. Furthermore, provided is an information processing method including stepwisely combining, by a processor, output signals relating to a plurality of inertial sensors, in which the combining further includes clustering a plurality of the output signals into a plurality of clusters and stepwisely combining the output signals in each of the clusters, and at least one of the clusters includes a plurality of the output signals.

A method for determining a rotation angle of a magnet includes measuring a 3D magnetic field vector of a magnetic field generated by the magnet, wherein the 3D magnetic field vector describes at least a part of an ellipse in 3D space during a rotational movement of the magnet. The method further includes mapping the measured 3D magnetic field vector to a 2D vector based on a compensation mapping, wherein the compensation mapping is configured to map the ellipse in 3D space to a circle in 2D space. The method further includes determining the rotation angle of the magnet based on the 2D vector.

A method of determining an angular position of a target of an inductive angular position sensor system, relative to a substrate, includes the steps of: receiving, demodulating and digitizing signals, and reducing a DC-offset of the digital signals, and determining an angular position. The step of reducing the DC-offset involves: i) initializing a DC-correction value; ii) subtracting the DC-correction value to obtain DC-shifted signals; iii) clipping the DC-shifted-signals to obtain clipped signals; iv) calculating a first sum by summing values of the clipped signal over one period, and v) calculating a second sum by summing absolute values of the clipped signal over said period; vi) adding to each DC correction value K times the first sum divided by the second sum, where K is a predefined constant.

A first sensor signal and a second sensor signal are provided by a sensor unit to an evaluation unit. The first sensor signal is dependent on the angular position and is associated with a first detection position, and the second sensor signal is associated with a second detection position lying about the rotational axis perpendicular to the first detection position. An angular position of a rotational component is determined by the evaluation unit based on output from an atan2-function that takes the first and second sensor signals as input. A harmonic error is determined by the evaluation unit based on a periodic error signal that is superimposed on each of the sensor signals. An angular error of the angular position is determined by the evaluation unit based on the harmonic error. The angular position is updated by the evaluation unit based on the angular error.

A first sensor signal and a second sensor signal are provided by a sensor unit to an evaluation unit. The first sensor signal is dependent on the angular position and is associated with a first detection position, and the second sensor signal is associated with a second detection position lying about the rotational axis perpendicular to the first detection position. An angular position of a rotational component is determined by the evaluation unit based on output from an atan2-function that takes the first and second sensor signals as input. A harmonic error is determined by the evaluation unit based on a periodic error signal that is superimposed on each of the sensor signals. An angular error of the angular position is determined by the evaluation unit based on the harmonic error. The angular position is updated by the evaluation unit based on the angular error.

To solve a problem that the accuracy of angle detection deteriorates owing to noise voltage generated by eccentricity or variation in shape among rotors according to the number of magnetic poles of a rotor core of a multiple-system rotation sensor, the number S of magnetic poles of a stator core is, with the number R of the magnetic poles of the rotor core and the number N (N is a natural number equal to or larger than 2) of systems for stator windings, in a relationship of S=nRN (n is a natural number), system windings of each system are wound so as to be divided for every R magnetic poles among the S magnetic poles of the stator core, and a winding arrangement of the system windings of each system is made so as to achieve R-times rotational symmetry about a rotor rotation axis.

A sensor circuit for measuring a physical quantity including: a signal acquisition circuit having a sensor to provide an input signal related to the physical quantity; a processing circuit to receive the input signal and for providing an output signal representative of the physical quantity; the processing circuit comprising a closed loop comprising: a first sub-circuit arranged for receiving the input signal and a feedback signal, and configured for providing a first signal; a frequency dependent filter for receiving and filtering the first signal, and for providing the output signal; a second sub-circuit for receiving and converting the filtered signal into the feedback signal using a non-linear function.

This disclosure is directed to methods, computer program products, and systems for calibrating one or more remote sensing devices in an environment. The disclosed technology relates to a calibration device configured to determine measurement data within an environment. The calibration device may transmit the measurement values, or other calibration data items, to a remote sensing device via a wireless link while the remote sensing device stays with a structure in which the remote sensing device is commissioned to operate. In response to receiving the calibration data items, the remote sensing device may adjust one or more settings of the remote sensing device in order to satisfy a calibration threshold.

A sensor front-end is presented for processing a measurement signal from a sensing unit, wherein the sensing unit is configured to receive a stimulus signal from an evaluation unit of the sensor front-end, generate the measurement signal from the stimulus signal by altering an amplitude of the stimulus signal based on a measurement parameter, and provide the measurement signal to the evaluation unit. The sensor front-end comprises the evaluation unit that is configured to generate a simulated measurement signal from the stimulus signal by controlling an amplitude of the stimulus signal based on a predetermined control variable, to generate a simulated output signal based on the stimulus signal and the simulated measurement signal, and to determine an error condition based on a comparison of the simulated output signal and the predetermined control variable or a signal derived from the predetermined control variable.

A first sensor signal and a second sensor signal are provided by a sensor unit to an evaluation unit. The first sensor signal is dependent on the angular position, and the second sensor signal is phase-shifted by 90° with respect to the first sensor signal. A noise value that is superimposed on each sensor signal due to noise in the corresponding sensor signal is determined by the evaluation unit. Each sensor signal is corrected by the evaluation unit based on the noise value determined for the corresponding sensor signal. Highest amplitudes for each of the first and second sensor signals are determined by the evaluation unit as a maximum value of amplitudes of the respective sensor signals detected over multiple revolutions of the rotational element. An angular portion of a rotational component is determined by the evaluation unit based on output from an atan2-function that takes the first and second sensor signals and the highest amplitudes as input.