A position sensing device for measuring a position, comprises a position sensing device for measuring a position; a plurality of sensors arranged to produce sense signals each being a function of an input phase representative of a position to be measured; a combiner circuit arranged to generate an error signal by combining the sense signals according to an array of weight factors; a processing block including a loop filter to filter the error signal and arranged to output a phase value representative of the position; and a feedback loop comprising a feedback signal unit arranged for receiving the output phase value and for adjusting based on the received output phase value of the array of weight factors.

A method for determining the position of a motor-vehicle crankshaft with a rotating target wheel including markers distributed uniformly over its periphery and a signature, and a sensor sending an electrical signal with edges that appear during the passage of a marker or of the signature before the sensor, including: determining detection time of an edge; determining detection time and computing time difference between estimation and determination; determining angular error; determining presence of an abnormal edge when the angular error exceeds a threshold and storing the associated marker number in a first error list; when the signature passes, copying the first error list to the second if it does not exist; adjusting an occurrence counter depending on the error list; and if the errors are not transient, correcting edges with marker numbers in memory in the second error list, then sending a crankshaft position signal depending on the signal.

Embodiments of the present disclosure provide for dynamic iterative baseline adjustment. Such embodiments provide improvements to sensors requiring such adjustments, for example by better accounting for baseline drift and/or other baseline inaccuracies of a sensor. In one example context, a gas sensor is provided that performs such dynamic iterative baseline adjustment to better calibrate the output value of the gas sensor. Some embodiments include determining a set of measured values comprises a number of low-point measured values that exceeds a baseline updating threshold, determining an updated baseline value set, for example by determining an average low-point measured value for each baseline factor interval of a set of baseline factor intervals, and updating the baseline value set to the updated baseline value set, and optionally performing a corrective baseline algorithm on the updated baseline value set. The updated baseline value set may be utilized to correct subsequently measured raw data values.

A preamplifier amplifies signals input to first and second input terminals. A first switching circuit receives first and second input signals and respectively outputs those signals to the first and second input terminals. A switched capacitor circuit samples two signals amplified by the preamplifier. An integration circuit includes a fully differential operational amplifier outputting amplifying differential signals input between third and fourth input terminals between second and first output terminals, and first and second integration capacitors. A second switching circuit switches a connection relationship between the switched capacitor circuit, and the first and second integration capacitors. A third switching circuit switches a connection relationship between the first and second integration capacitors, and third and fourth output terminals. A cycle including sampling and signal integration is performed twice, and the first to third switching circuits switch the connection relationships each time the cycle changes.

A magnetic field sensor includes a circular vertical Hall (CVH) sensing element to produce a signal representing an external magnetic field as detected by the CVH sensing element, a sigma-delta analog-to-digital converter to generate a converted signal, modulators to produce quadrature modulated signals from the converted signal, and a processor to produce an estimated angle of the external magnetic field using the quadrature modulated signals. An arctangent function may be used to calculate the estimated angle. A sliding window integration scheme may be used over one or more CVH cycles.

A magnetic field sensor comprises a circular vertical Hall (CVH) sensing element comprising a plurality of vertical Hall elements, each vertical Hall element comprised of a respective group of vertical Hall element contacts selected from among a plurality of vertical Hall element contacts. A quadrature modulator circuit is coupled to the digital signal and operable to generate a plurality of quadrature modulated signals. A processor stage is coupled to receive the signals representative of the plurality of quadrature modulated signals, and operable to perform a sliding window integration using the signals representative of the plurality of quadrature modulated signals and compute an estimated angle of the external magnetic field using the signals representative of the plurality of quadrature modulated signals.

A magnetic field sensor comprises a circular vertical Hall (CVH) sensing element having a plurality of vertical Hall elements. A CVH output stage is included comprising one or more of drive circuits to drive the plurality of vertical Hall elements and produce an analog signal representing a strength of an external magnetic field as detected by the plurality of vertical Hall elements. An analog-to-digital converter is coupled to receive the analog signal and produce a digital signal. A quadrature modulator circuit is coupled to the digital signal and operable to generate a plurality of quadrature modulated signals. A processor stage receives signals representative of the plurality of quadrature modulated signals and computes an estimated angle of the external magnetic field.

A method of determining an angle by an encoder includes generating a first angle data based on a rotation of a bipolar magnet and a second angle data based on a rotation of the multipolar magnet; determining a first waveform signal based on the first angle data and a second waveform signal based on the second angle data; converting the first waveform signal into a third waveform signal having a cycle similar to the second waveform signal; calculating an angle result value as a function of the second angle data and a determined value about a location of a rotation cycle of the multipolar magnet based on a difference between the second waveform signal and the third waveform signal; and determining an absolute angle corresponding to the calculated angle result value based on stored angle data.

In some embodiments, a method of correcting for errors in a rotational position sensor having a sine signal and a cosine signal is presented. The method includes compiling data from the sine signal and the cosine signal over a period of rotation of a motor shaft; determining offset correction parameters from the data; correcting the data with the offset correction parameters; determining amplitude difference parameters from the data; correcting the data with the amplitude difference parameters; determining phase difference parameters from the data; correcting the data with the phase difference parameters; and using the offset correction parameters, the amplitude difference parameters, and the phase difference parameters to correct the sine signal and the cosine signal.

A method for calculating a position or an angle of an inspection target based on a sine wave signal and a cosine wave signal output from an encoder or a laser interferometer, includes acquiring a temporary movement speed of the inspection target, calculating an amplitude correction value corresponding to the temporary movement speed using information representing a relationship between a movement speed of the inspection target and amplitudes of the sine wave signal and the cosine wave signal acquired in advance, correcting the amplitudes of the sine wave signal and the cosine wave signal using the amplitude correction value, and calculating an offset error in a Lissajous waveform using the sine wave signal and the cosine wave signal the amplitudes of which are corrected with the amplitude correction value and calculating the position or the angle of the inspection target using the offset error.