A method for determining position of a mobile system, the method includes receiving global navigation satellite (GNSS) signals by a receiver of the mobile system, generating a plurality of position estimates based on at least pseudo-distances determined from at least some of the GNSS signals, wherein each position estimate is generated based on a different set of pseudo-distances, determining an inconsistency in one or more of the position estimates based on verification information, generating a trust assessment for each position estimate based on determined inconsistencies, outputting a position estimate associated with a higher trust assessment as a position of the mobile platform, and reducing an influence of a GNSS signal on a future position estimate generation based on a lower trust assessment for position estimates generated based on the GNSS signal.

Systems, methods, computing platforms, and storage media for transporting a mobile inventory transportation unit (MITU) in a communication network are disclosed. Exemplary implementations may include the mobile inventory transportation communication network comprising the MITU, a transportation system, a first and a second central system, in communication with each other, the MITU comprising a housing, an inventory storage device, a power device, a drive device, a navigation device, a sensing device, and a control device. The transportation system may be configured to physically receive and transport the MITU from a first point to a second point, the second central system may be configured to determine an inventory demand at a second or more location and transmit inventory request data to the first central system, and the first central system may be configured to schedule the movement of the MITU and control the delivery of the MITU to a final destination.

A hybrid distributed estimation system (DES) jointly tracks states of a plurality of moving devices configured to transmit measurements indicative of a state of a moving device and an estimation of the state of the moving device derived from the measurements. The hybrid DES selects between the measurements and the estimations, and based on this selection activates different types of DESs configures to jointly track the states of the moving devices using different types of information. Next, the hybrid DES tracks the states using the activated DES allowing track the state by different DES at different instances of time.

The invention pertains to a method for recreating unavailable measurements in a GNSS system by producing at least one GNSS parameter estimate Formula (I) at a target carrier frequency (f.sub.k), the method comprising at least one of: deriving (1030), from one or more available pseudorange measurements (P.sub.i) at respective other carrier frequencies (f.sub.i), a pseudorange estimate Formula (II) at said target carrier frequency (f.sub.k) and deriving (1040), from said one or more available pseudorange measurements (P.sub.i) and one or more available carrier phase measurements (φ.sub.i) at said respective other carrier frequencies (f.sub.i), a carrier phase estimate Formula (III) at said target carrier frequency (f.sub.k).

A method is provided for establishing a location of a device based on a global navigation satellite system. Methods may include: receiving sensor data of an environment of the apparatus; estimating object location within the environment based on the sensor data; receiving a static elevation mask; generating a learned-elevation mask based, at least in part, on the static elevation mask and the estimated object location within the environment; receiving signals from a plurality of Global Navigation Satellite System (GNSS) satellites; filtering the signals from the plurality of GNSS satellites to eliminate from consideration a subset of satellites established as not having a line-of-sight with the apparatus; establishing a location of the apparatus from remaining satellites established as having a line-of-sight with the apparatus; and providing for at least one of route guidance or autonomous vehicle control based on the established location of the apparatus.

A device implementing a system for device orientation initialization includes at least one processor configured to determine that the device is within or coupled to a vehicle in motion. The at least one processor is configured to employ, in response to the determining, a first position estimation model to estimate a position of the device, and detect occurrence of a predefined condition with respect to employing the first position estimation model. The at least one processor is further configured to switch, in response to detecting occurrence of the predefined condition, from employing the first position estimation model to employing a second position estimation model to estimate the position of the device. The first and second position estimation model apply different respective error state metrics in estimating the position of the device.

Systems and methods are provided for improving geolocation services, like GPS, using network device measurements. For example, a plurality of access points (APs) or other network devices may be implemented in a network environment and constructed with a GPS chip. Range measurements can be collected from these network devices and incorporated with the GPS locations using various methods described herein to improve the overall location determination of these devices.

In conditions in which Global Navigation Satellite System (GNSS) signal spoofing is likely occurring, a GNSS receiver may be operated in a reduced operational state with respect to one or more GNSS bands that are likely being spoofed. According to embodiments, a reduced operational state with regard to a GNSS band may comprise performing one or more of the following functions with respect to that GNSS band: disabling data demodulation and decoding, disabling time setting (e.g., time of week (TOW), week number, etc.) disabling acquisition of unknown/not visible satellites, disabling satellite differences, disabling error recovery, reducing non-coherent integration time, and duty cycling the power for one or more receiver blocks associated with the GNSS band.

A GNSS data collection system includes a pole mounted GNSS receiver and inclination sensors. A data collection module provides a data collection graphical user interface (GUI) visible on a hand-held data collector computer. The data collector computer is communicably coupled to the GNSS receiver and receives three-dimensional location data and inclination data for the range pole in real-time. A virtual level component uses the inclination data to display on the GUI real-time tilt information in the form of a virtual bubble level indicator. The inclination data and height of the range pole are used to calculate and display horizontal distance and direction to level the GNSS receiver, using: incline=sqrt(xtilt*xtilt+ytilt*ytilt) where, xtilt=the inclination data for the range pole along the x axis, ytilt=the inclination data for the range pole along the y axis, and horizontaldistancefromlevel=rh*sin(incline) where, rh=the height of the range pole.

A system for receiving and processing satellite signals from satellites of global navigation systems, in particular for a vehicle, having a signal path includes a signal conditioning unit for conditioning received satellite signals, an analysis unit for analyzing the conditioned satellite signals, and a position determination unit for determining measured values utilizing the satellite signals provided by the analysis unit. The measured values include a position, a speed, and/or a satellite time. The system has two signal paths which are separate from one another and each process mutually independent satellite signals for a position.