Abstract: A method corrects an ionospheric error affecting pseudo-range measurements in a GNSS receiver receiving a plurality of satellite signals from a plurality of satellites of the constellation of satellites. The method is performed in a navigation processing procedure performed at a GNSS receiver, receiving pseudo-range measurements previously calculated by the GNSS receiver obtained from a first carrier signal and a second carrier signal in the satellite signals, in particular in GPS bands L1 and L5. The method includes performing a correction procedure of the pseudo-range measurements including applying to the pseudo-range measurements corrections for predictable errors obtaining corrected pseudo-ranges and applying to the corrected pseudo-range measurements a further ionospheric error correction calculation to obtain further ionospheric error correction values.

Abstract: A system includes inertial sensors and a GPS. The system generates a first estimated vehicle velocity based on motion data and positioning data, generates a second estimated vehicle velocity based on the processed motion data and the first estimated vehicle velocity, and generates fused datasets indicative of position, velocity and attitude of a vehicle based on the processed motion data, the positioning data and the second estimated vehicle velocity. The generating the second estimated vehicle velocity includes: filtering the motion data, transforming the filtered motion data in a frequency domain based on the first estimated vehicle velocity, generating spectral power density signals, generating an estimated wheel angular frequency and an estimated wheel size based on the spectral power density signals, and generating the second estimated vehicle velocity as a function of the estimated wheel angular frequency and the estimated wheel size.

Abstract: A system includes inertial sensors and a GPS. The system generates a first estimated vehicle velocity based on motion data and positioning data, generates a second estimated vehicle velocity based on the processed motion data and the first estimated vehicle velocity, and generates fused datasets indicative of position, velocity and attitude of a vehicle based on the processed motion data, the positioning data and the second estimated vehicle velocity. The generating the second estimated vehicle velocity includes: filtering the motion data, transforming the filtered motion data in a frequency domain based on the first estimated vehicle velocity, generating spectral power density signals, generating an estimated wheel angular frequency and an estimated wheel size based on the spectral power density signals, and generating the second estimated vehicle velocity as a function of the estimated wheel angular frequency and the estimated wheel size.

Abstract: A device including microelectromechanical systems (MEMS) sensors are used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a forward axis of a sensor frame of the device and a forward axis of a vehicle frame using the data received from the MEMS sensors, the device can accurately calculate the location of a user or the vehicle of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of the user riding in the vehicle in GPS/GNSS signals absent environment can be provided.

Abstract: A device including microelectromechanical systems (MEMS) sensors are used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a forward axis of a sensor frame of the device and a forward axis of a vehicle frame using the data received from the MEMS sensors, the device can accurately calculate the location of a user or the vehicle of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of the user riding in the vehicle in GPS/GNSS signals absent environment can be provided.

Abstract: A system includes inertial sensors and a GPS. The system generates a first estimated vehicle velocity based on motion data and positioning data, generates a second estimated vehicle velocity based on the processed motion data and the first estimated vehicle velocity, and generates fused datasets indicative of position, velocity and attitude of a vehicle based on the processed motion data, the positioning data and the second estimated vehicle velocity. The generating the second estimated vehicle velocity includes: filtering the motion data, transforming the filtered motion data in a frequency domain based on the first estimated vehicle velocity, generating spectral power density signals, generating an estimated wheel angular frequency and an estimated wheel size based on the spectral power density signals, and generating the second estimated vehicle velocity as a function of the estimated wheel angular frequency and the estimated wheel size.

Abstract: A method for providing navigation information by a navigation sensing device including an absolute positioning source providing three-dimensional absolute position data including an absolute altitude value, an Inertial Measurement Unit providing inertial data, in particular accelerations and angular rates, and a barometer sensor providing a pressure measurement. The method includes processing the inertial data and the absolute position data to obtain two-dimensional position information, in particular longitude and latitude, and processing the pressure measurement and the absolute position data to obtain an altitude estimate.

Abstract: A positioning apparatus includes: a reference device configured to provide a measured current motion angle of a vehicle; an inertial sensor configured to provide a current input angular rate of the vehicle and associated with at least one inertial sensor behavior parameter dependent on inertial sensor temperature; a temperature sensor configured to provide an input temperature variation of the inertial sensor on a time interval; and a digital estimator configured to recursively computing an estimated current motion angle of the vehicle and at least one previously estimated inertial sensor behavior parameter as function of: the measured current motion angle, a previously estimated motion angle, the current input angular rate, and the input temperature variation.

Abstract: A device including microelectromechanical systems (MEMS) sensors are used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a forward axis of a sensor frame of the device and a forward axis of a vehicle frame using the data received from the MEMS sensors, the device can accurately calculate the location of a user or the vehicle of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of the user riding in the vehicle in GPS/GNSS signals absent environment can be provided.

Abstract: A positioning apparatus includes: a reference device configured to provide a measured current motion angle of a vehicle; an inertial sensor configured to provide a current input angular rate of the vehicle and associated with at least one inertial sensor behavior parameter dependent on inertial sensor temperature; a temperature sensor configured to provide an input temperature variation of the inertial sensor on a time interval; and a digital estimator configured to recursively computing an estimated current motion angle of the vehicle and at least one previously estimated inertial sensor behavior parameter as function of: the measured current motion angle, a previously estimated motion angle, the current input angular rate, and the input temperature variation.

Abstract: In an embodiment, a system for land vehicle navigation includes: a GNSS receiver providing GNSS data, a set of sensors positioned on a wheel of a vehicle and on board the vehicle; and a processing unit. An on-wheel unit is located on the wheel of the vehicle, the on-wheel unit including a first subset of sensors. An on-board unit includes a second subset of sensors configured to generate a second sensor data. The processing unit is configured to process the first and second sensor data to obtain the distance and the attitude of vehicle and to perform a fusion with the GNSS data.

Abstract: A positioning apparatus includes: a reference device configured to provide a measured current motion angle of a vehicle; an inertial sensor configured to provide a current input angular rate of the vehicle and associated with at least one inertial sensor behavior parameter dependent on inertial sensor temperature; a temperature sensor configured to provide an input temperature variation of the inertial sensor on a time interval; and a digital estimator configured to recursively computing an estimated current motion angle of the vehicle and at least one previously estimated inertial sensor behavior parameter as function of: the measured current motion angle, a previously estimated motion angle, the current input angular rate, and the input temperature variation.

Abstract: A positioning apparatus of a vehicle includes a measuring module and a triaxial orientation sensor to provide measured axial accelerations in a Cartesian reference system during a certain time interval. The apparatus also includes a triaxial movement sensor to supply at least one angular variation signal proportional to the axial angular speed of the vehicle during the time interval. A processing unit receives a distance signal proportional to the distance traveled by the vehicle in the time interval, receives the at least one angular variation signal, and supplies at least one reference acceleration of the vehicle. An estimator-calibrator block recursively estimates at least one calibrated acceleration as a function of the measured axial accelerations and of the at least one reference acceleration.

Abstract: In an embodiment, a system for land vehicle navigation includes: a GNSS receiver providing GNSS data, a set of sensors positioned on a wheel of a vehicle and on board the vehicle; and a processing unit. An on-wheel unit is located on the wheel of the vehicle, the on-wheel unit including a first subset of sensors. An on-board unit includes a second subset of sensors configured to generate a second sensor data. The processing unit is configured to process the first and second sensor data to obtain the distance and the attitude of vehicle and to perform a fusion with the GNSS data.

Abstract: A positioning apparatus of a vehicle includes a measuring module and a triaxial orientation sensor to provide measured axial accelerations in a Cartesian reference system during a certain time interval. The apparatus also includes a triaxial movement sensor to supply at least one angular variation signal proportional to the axial angular speed of the vehicle during the time interval. A processing unit receives a distance signal proportional to the distance traveled by the vehicle in the time interval, receives the at least one angular variation signal, and supplies at least one reference acceleration of the vehicle. An estimator-calibrator block recursively estimates at least one calibrated acceleration as a function of the measured axial accelerations and of the at least one reference acceleration.

Abstract: A positioning apparatus includes: a reference device configured to provide a measured current motion angle of a vehicle; an inertial sensor configured to provide a current input angular rate of the vehicle and associated with at least one inertial sensor behavior parameter dependent on inertial sensor temperature; a temperature sensor configured to provide an input temperature variation of the inertial sensor on a time interval; and a digital estimator configured to recursively computing an estimated current motion angle of the vehicle and at least one previously estimated inertial sensor behavior parameter as function of: the measured current motion angle, a previously estimated motion angle, the current input angular rate, and the input temperature variation.

Abstract: A cinematic parameter computing method of a satellite navigation system, including: receiving signals at a receiving apparatus from a plurality of satellites; processing said signals to provide received data; computing a first cinematic parameter value of said receiving apparatus according to a first computational method using said received data; computing a second cinematic parameter value of said receiving apparatus according to a second computational method using said received data and computing a distance value representing a difference between said first and second cinematic parameter values. The distance value is compared with a reference value providing a comparison result data and selecting one of first and second computational methods based on said comparison result data.

Abstract: A cinematic parameter computing method of a satellite navigation system, including: receiving signals at a receiving apparatus from a plurality of satellites; processing said signals to provide received data; computing a first cinematic parameter value of said receiving apparatus according to a first computational method using said received data; computing a second cinematic parameter value of said receiving apparatus according to a second computational method using said received data and computing a distance value representing a difference between said first and second cinematic parameter values. The distance value is compared with a reference value providing a comparison result data and selecting one of first and second computational methods based on said comparison result data.

Abstract: A position computing method computes a position of a receiver using a satellite navigation system. The method includes: bringing a satellite receiver in a dark region of the satellite system; bringing the receiver into a visible region of the satellite system outside the dark region; allocating to the dark region a darkness category chosen between at least two categories based on a dark region crossing time at which the receiver crosses between the dark region and the visible region; allocating a visibility class, chosen between at least two distinct classes, to the visibility region; and selecting one of first and second receiver position computing methods based on the class and the category allocated. The method further includes calculating a receiver position of the receiver by applying the selected computing method.

Abstract: A position computing method computes a position of a receiver using a satellite navigation system. The method includes: bringing a satellite receiver in a dark region of the satellite system; bringing the receiver into a visible region of the satellite system outside the dark region; allocating to the dark region a darkness category chosen between at least two categories based on a dark region crossing time at which the receiver crosses between the dark region and the visible region; allocating a visibility class, chosen between at least two distinct classes, to the visibility region; and selecting one of first and second receiver position computing methods based on the class and the category allocated. The method further includes calculating a receiver position of the receiver by applying the selected computing method.