Granted Patent B2

US 12,416,735 · App. 17/792,956 · Granted Sep 16, 2025

Inventors: Philippe Elie (Paris, FR); Vincent Bisgambiglia (Paris, FR); Elie Amani (L'Union, FR); Marc Pollina (L'Union, FR)

Assignee: SAFRAN ELECTRONICS & DEFENSE

G01S19/49G01S5/0264G01S19/46G01C21/165G01S19/45G01S19/48

Abstract

Claims (15)

1. A navigation device comprising:

an inertial navigation system coupled with a satellite navigation system wherein information supplied by the satellite navigation system is used for adjusting the inertial navigation system; and

circuitry causing the device to perform measuring signals coming from base stations of a wireless cellular network,

wherein the satellite navigation system and the circuitry are coupled with each other by a tight coupling to form a satellite navigator and/or base-station navigator implementing an estimator with simultaneous localisation and mapping,

wherein the satellite navigation system and the circuitry are coupled to the inertial navigation system by a loose coupling for adjusting the inertial navigation system, and

wherein the satellite and/or base station navigator operates in three operating modes, a first mode being a mode wherein pseudo-distances, pseudo-speeds and carrier-to-noise ratios of the signals coming from base stations of the wireless cellular network and signals from the satellites are available, a second mode being a mode wherein pseudo-distances, pseudo-speeds and carrier-to-noise ratios of the signals coming from base stations of the wireless cellular network are available, and a third mode being a mode wherein pseudo-distances, pseudo-speeds and carrier-to-noise ratios of the signals of the signals of the satellites are available.

2. The device according to claim 1 , wherein the device further comprises a matrix-generating module that forms a plurality of matrices comprising a transition matrix, a Jacobian matrix, a measurement-noise covariance matrix and a process-noise covariance matrix.

3. The device according to claim 2 , wherein, for each operating mode, the matrix-generating module forms a transition matrix, a Jacobian matrix, a measurement-noise covariance matrix and a process-noise covariance matrix that are different from the matrices formed for the other modes.

4. The device according to claim 1 , wherein the navigation device comprises a Kalman filter.

5. A navigation method comprising an inertial navigation system coupled with a satellite navigation system, the information supplied by the satellite navigation system being used for adjusting the inertial navigation system, wherein said method comprises:

measuring signals coming from base stations of a wireless cellular network;

coupling by tight coupling of the satellite navigation system with means for measuring signals coming from base stations of the wireless cellular network to form a satellite navigator and/or base-station navigator implementing an estimator with simultaneous localisation and mapping;

coupling by loose coupling of the satellite navigation system and of the means for measuring signals coming from the base station of the wireless cellular network to the inertial navigation system to adjust the inertial navigation system; and

determining an operating mode of the satellite and/or base-station navigator among three operating modes such that a first mode is a mode wherein pseudo-distances, pseudo-speeds and carrier-to-noise ratios of the signals coming from base stations of the wireless cellular network and signals from the satellites are available, a second mode is a mode wherein pseudo-distances, pseudo-speeds and carrier-to-noise ratios of the signals coming from base stations of the wireless cellular network are available and a third mode is a mode wherein pseudo-distances, pseudo-speeds and carrier-to-noise ratios of the signals of the signals of the satellites are available.

6. The method according to claim 5 , wherein said method causes the device to perform generating a matrix that forms a plurality of matrices comprising a transition matrix, a Jacobian matrix, a measurement-noise covariance matrix and a process-noise covariance matrix.

Assignments (2)

Priority Claims (1)

Continuity (1)

References Cited (15)