Disclosed are techniques for processing satellite signals for computing a geospatial position. A plurality of GNSS signals are received from a plurality of GNSS satellites. An image is captured using an imaging device at least partially oriented toward the plurality of GNSS satellites. The image is segmented into a plurality of regions based on RF characteristics of objects in the image. An orientation of the image is determined. The plurality of GNSS satellites are projected onto the image based on the orientation of the image such that a corresponding region is identified for each of the plurality of GNSS satellites. Each of the plurality of GNSS signals is processed in accordance with the corresponding region.

Embodiments of the present invention relate to route navigation and tracking systems, and methods thereof, and more particularly, to method and system for managing adaptive, dynamic, domain and platform-agnostic navigation and tracking of portable computing and communications devices, thereby facilitating generation of at least one of contextual, configurable notifications, and combinations thereof, for instance at least one of adaptively and dynamically configurable contextual notifications as well as alerts.

A system is disclosed for determining a physical metric such as position. The system comprises a local signal generator (8) configured to provide a local signal and a receiver (4) configured to receive a signal having properties corresponding to those in a signal transmitted by a trusted remote source. An inertial measurement unit (12) is configured to provide a measured or assumed movement of the receiver. A correlator (6) is configured to provide a correlation signal by correlating the local signal with the received signal. A motion compensation unit (14) is configured to provide motion compensation of at least one of the local signal, the received signal, and the correlation signal based on the measured or assumed movement. A signal analysis unit (16) is configured to determine whether the received signal includes a component received in a direction that is different to a line-of-sight direction between the receiver and the trusted remote source, wherein the determination is based on the correlation signal. Finally, a metric determination unit or positioning unit (20) is configured to determine a physical metric associated with the receiver, such as its position, based on the determination made by the signal analysis unit (16).

A method of localization using bearing from environmental features includes receiving an estimated location of a global navigation satellite system (GNSS) receiver associated with a user and a corresponding bearing for the GNSS receiver. The method also includes identifying one or more environmental features about the estimated location of the GNSS receiver. The method further includes determining whether an orientation of a respective environmental feature of the one or more environmental features correlates to the corresponding bearing for the GNSS receiver. When the orientation of the respective environmental feature correlates to the corresponding bearing for the GNSS receiver, the method includes generating an updated bearing for the GNSS receiver or locational system that matches the orientation of the respective environmental feature.

Methods and systems for location determination are described herein. An example implementation may involve receiving signals from a set of satellites to determine a general location of a receiver. After receiving a signal from a satellite, the receiver may determine an angle of reception that indicates an orientation of the satellite relative to the receiver. The receiver may further obtain topography information for the general location that indicates the positions and elevations of features (e.g., buildings) at the general location. For instance, the receiver may use elevation maps or sensors to determine the topography information. Using the topography information and determined angles of receptions, the receiver may identify any signals that reflected off a feature prior to reaching the receiver. As a result, the receiver may determine and use the reflected path traveled by a reflected signal to refine the general location of the receiver.

A method of determining location of a user device includes receiving global navigation satellite system (GNSS) fix data that represents GNSS calculated position of the user device, receiving signal strength data associated with each satellite communicating with the user device, and receiving satellite data regarding locations of satellites. The method further includes retrieving satellite blocking values from a cache that describe a likelihood of a satellite signal being blocked at a plurality of possible locations. A non-linear filter, implemented by one or more processors, is applied to the GNSS fix data, signal strength data, and satellite blocking values to generate an updated position estimate of the user device.

A positioning system operates by first determining that a user is pedestrian, and then estimating a speed of the user. Having tracked a first signal from one radio transmitter whose position is known, the system attempts to detect additional signals from the one transmitter, in a search space such that the first signal and the or each additional signal are consistent with the estimated speed of the user and with one or more of the signals having been reflected off a reflector in the vicinity of the user. One or more detected additional signals from the one transmitter are then tracked, and candidate measurements, derived from the first signal and the one or more detected additional signals, are provided for use when estimating the position and/or velocity of the user.

A method for determining, from a plurality of satellites, a position of a mobile object having a reception device configured to receive satellite signals, includes performing a measurement of a plurality of pseudo-distances between the reception device and the plurality of satellites using the satellite signals. The method further includes correcting a result of the measurement using a surroundings model of surroundings of the mobile object to produce at least one corrected pseudo-distance. The surroundings model is indicative of at least one reflection plane of satellite signals.

Methods and systems for location determination are described herein. An example implementation may involve receiving signals from a set of satellites to determine a general location of a receiver. After receiving a signal from a satellite, the receiver may-determine an angle of reception that indicates an orientation of the satellite relative to the receiver. The receiver may further obtain topography information for the general location that indicates the positions and elevations of features (e.g., buildings) at the general location. For instance, the receiver may use elevation maps or sensors to determine the topography information. Using the topography information and determined angles of receptions, the receiver may identify any signals that reflected off a feature prior to reaching the receiver. As a result, the receiver may determine and use the reflected path traveled by a reflected signal to refine the general location of the receiver.

A spatial approach is provided to mitigate multipath error for an indoor pedestrian localization system using broadband communication signals, such as cellular long-term evolution (LTE) carrier phase measurements. Motion of a receiver may be used to synthesize an antenna array from time-separated elements. Received data may then be combined for synthetic aperture navigation that allows for suppressing multipath error based on determination of direction-of-arrival (DOA) of the incoming communication (e.g., LTE) signals. In one embodiment, navigation observables may be determined based on determined direction of arrival.