Abstract: A measurement of a vibrating inertial sensor disposed on a carrier and includes a resonator extending around two mutually perpendicular x and y axes defining an xy sensor frame of reference and comprising: at least one vibrating movable mass comprising at least two portions configured to vibrate in phase opposition in a direction x? defining an x?y? wave frame of reference, with the vibration wave forming an electrical angle ? relative to the x-axis; at least a pair of excitation transducers and a pair of detection transducers operating along the two axes x and y; the correction method being applied when the sensor is operating with a vibration wave vibrating along the x?-axis and comprising the following steps, when the carrier is substantially stationary: A commanding an electrical rotation of the vibration wave according to a commanded angular velocity ?c, such that the electrical angle ? scans at least one angular range of k? radians; then B retrieving the measured angular values ?e measured by the inerti

Abstract: A method for calibrating the stiffness mismatch ?K or quadrature Kxy of a vibrating angular sensor includes a resonator extending about two axes x and y defining a sensor frame xy, comprising a vibrating proof mass comprising two parts configured to vibrate in phase opposition with respect to each other in a direction x? defining a wave frame x?y?, the direction x? making an electrical angle to the axis x; and detection, excitation, quadrature compensation and stiffness adjustment transducers; the resonator having a stiffness matrix KC in the sensor frame and a stiffness matrix KO in the wave frame; the method comprising steps of: A determining the electrical angle; B recovering a quadrature or stiffness term of the stiffness matrix KO in the wave frame, the term being a sum of functions in cos(i?) and sin(i?); steps A and B being reiterated either for a plurality of electrical angles (?k), or for a duration during which the vibration wave continuously rotates through an electrical angle (?(t)) varying as a f

Abstract: A method for calibrating an inertial angular sensor, includes the steps of: A for at least two electrical angles (?j) of the vibration wave: A1 applying, via each of the three trim controls CTi, a sinusoidal stiffness disturbance PSi having a disturbance frequency fi, and for each applied disturbance: A11 determining and storing an estimated excitation force Fei to be applied to the resonator in the presence of said disturbance PSi, on the basis of excitation controls determined by the servo controls, B determining, on the basis of the three estimated excitation forces Fei i=1, 2, 3 stored in step A11, three 2×2 matrices M?i, a matrix M?i being representative of the response of the gyrometer to the disturbance PSi, C determining and storing an estimated inverse excitation matrix (formula (A)) and an estimated inverse detection matrix (formula (B)) on the basis of the three matrices M?i determined in step B, an excitation matrix E and a detection matrix D being respectively representative of the effects of the

Abstract: An inertial reference unit includes a first measurement channel comprising: a first high-performance inertial measurement unit comprising first measurement means for measuring specific forces and first measurement means for measuring angular velocities, a first computing unit able to compute pure inertial data based on the measurements of the first measurement unit; a second measurement channel comprising: a second inertial measurement unit of performance lower than the first inertial measurement unit, comprising second measurement means for measuring specific forces and second measurement means for measuring angular velocities; a second computing unit able to compute pure inertial data based on the measurements of the second measurement unit; an integrity check function able to implement a method for checking the integrity of the data of the first measurement channel based on the data provided by the second measurement channel; a synchronization means for synchronizing the measurements of the first and secon

Abstract: The invention proposes a system for excluding a failure of a satellite suitable for a hybrid navigation system and which operates even in case of degraded geometry of the constellation of satellites. The hybrid system according to the invention comprises a plurality M of hybridization filters (SFH1, . . . SFHM) each receiving at least one satellite positioning measurement (MPS) carried out on the signals received from all the satellites in visibility of the said system and an inertial positioning measurement (MPI) and delivering a corrected positioning measurement, the so-called hybrid measurement (MHS1, . . . MHSM), the hybridization filters being updated, at a constant temporal rate, successively at periodically shifted temporal instants.

Abstract: Method of determining at least one radius of protection associated with a respective navigation parameter of a hybrid inertial navigation system by Kalman filtering employing introduction of a position bias into the state model of the Kalman filter representing the uncertainty associated with the reference safe position.

Abstract: Method of determining at least one radius of protection associated with a respective navigation parameter of a hybrid inertial navigation system by Kalman filtering employing introduction of a position bias into the state model of the Kalman filter representing the uncertainty associated with the reference safe position.

Abstract: The invention proposes a system for excluding a failure of a satellite suitable for a hybrid navigation system and which operates even in case of degraded geometry of the constellation of satellites. The hybrid system according to the invention comprises a plurality M of hybridization filters (SFH1, . . . SFHM) each receiving at least one satellite positioning measurement (MPS) carried out on the signals received from all the satellites in visibility of the said system and an inertial positioning measurement (MPI) and delivering a corrected positioning measurement, the so-called hybrid measurement (MHS1, . . . MHSM), the hybridization filters being updated, at a constant temporal rate, successively at periodically shifted temporal instants.