A vibration-type angular velocity sensor (100) includes a first angular velocity sensor unit (101) and a second angular velocity sensor unit (102). In a predetermined period, the second angular velocity sensor unit performs a process of detecting an angular velocity based on secondary vibration of a vibrator (11) by a secondary side control circuit (17) and a process of detecting the angular velocity based on the secondary vibration of the vibrator by the primary side control circuit (16) by interchanging functions. The first angular velocity sensor unit detects the angular velocity in the predetermined period. The bias component of the first angular velocity sensor unit is calculated based on a first detection result detected by the first angular velocity sensor unit in the predetermined period and a second detection result detected by the second angular velocity sensor unit in the predetermined period.

One example includes a radar image interface system. The system includes an image processor configured to receive synthetic aperture radar (SAR) image data associated with a region of interest and to generate a radar image of the region of interest based on the SAR image data. The image processor can be further configured to divide the radar image into a plurality of sequential units corresponding to respective zones of the region of interest. The system also includes a display system configured to display zoomed sequential units corresponding to respective zoomed versions of the sequential units of the radar image to a user. The system further includes an input interface configured to facilitate sequentially indexing through each of the zoomed versions of the sequential units on the display system in response to an indexing input provided by the user.

According to one embodiment, an attitude angle derivation device includes an acquisition part, a storage, and a processor. The acquisition part is configured to acquire a rotation angle related to a first coordinate system. The rotation angle is obtained from an angle sensor located in an object. The storage is configured to store the rotation angle and an attitude angle. The attitude angle is related to a second coordinate system of the object. The processor is configured to acquire the rotation angle and the attitude angle, update the attitude angle based on a temporal change of the rotation angle derived from the rotation angle, and output the updated attitude angle.

According to one embodiment, an attitude angle derivation device includes an acquisition part, a storage, and a processor. The acquisition part is configured to acquire a rotation angle related to a first coordinate system. The rotation angle is obtained from an angle sensor located in an object. The storage is configured to store the rotation angle and an attitude angle. The attitude angle is related to a second coordinate system of the object. The processor is configured to acquire the rotation angle and the attitude angle, update the attitude angle based on a temporal change of the rotation angle derived from the rotation angle, and output the updated attitude angle.

A modified version of a MEMS self-test procedure is presented that can be used to detect the amplitude and frequency of an external vibration from an ambient environment. The method implements processing circuitry that correlates an output sense signal, s(t), with a plurality of periodic signal portions and a plurality of shifted periodic signal portions to generate a plurality of correlation values. A frequency associated with the external vibration is determined based on the plurality of correlation values.

A vibratory gyroscope system is described which utilizes a mechanical resonator having a first mode of vibration and an associated first natural frequency, and a second mode of vibration having an associated second natural frequency. The angular rate of motion input couples energy between the first and second modes of vibration. The gyroscope has driver circuits, sensors and actuators for the first and second modes. The invention utilizes a bias error shifting method which provides for shifting the bias error away from DC to a higher frequency, where it can be removed by low pass filtering. As a result of the inventive method, gyroscope systems can be produced with significantly lower bias error.

A vibratory gyroscope system is described which utilizes a mechanical resonator having a first mode of vibration and an associated first natural frequency, and a second mode of vibration having an associated second natural frequency. The angular rate of motion input couples energy between the first and second modes of vibration. The gyroscope has driver circuits, sensors and actuators for the first and second modes. The invention utilizes a bias error shifting method which provides for shifting the bias error away from DC to a higher frequency, where it can be removed by low pass filtering. As a result of the inventive method, gyroscope systems can be produced with significantly lower bias error.

A closed-loop microelectromechanical gyroscope with a self-test function. At least one test input signal is generated from a signal of the vibrational primary motion and input during operation of the microelectromechanical gyroscope to the sense circuit.

A closed-loop microelectromechanical gyroscope with a self-test function. At least one test input signal is generated from a signal of the vibrational primary motion and input during operation of the microelectromechanical gyroscope to the sense circuit.

According to an embodiment, an information processing device includes an internal sensor, a first derivation unit, a second derivation unit, a reliability calculation unit, a movement amount calculation unit. The internal sensor monitors monitor information including acceleration of a moving object. The first derivation unit derives a first movement amount of the moving object from the monitor information. The second derivation unit derives a second movement amount of the moving object using surrounding information of the moving object monitored by an external sensor. The reliability calculation unit calculates reliability of the second movement amount. The movement amount calculation unit calculates a current movement amount of the moving object using the first movement amount and the second movement amount when the reliability meets a specific criterion, and calculates the first movement amount as the current movement amount when the reliability does not meet the specific criterion.