Abstract: Determining a boundary of a spoofing region identifying spoofed satellite signals may comprise determining, based on a first set of Global Navigation Satellite System (GNSS) signals received at a GNSS receiver over a first period of time, at least one GNSS signal corresponding to a GNSS satellite has experienced a first transition, wherein the first transition comprises a transition from a not spoofed state in which the at least one GNSS signal is not determined to be spoofed to a spoofed state in which the at least one GNSS signal is determined to be spoofed, or a transition from the spoofed state to the not spoofed state. Additionally, a first location corresponding to a location at which the GNSS receiver was located during the first transition may be determined.

Abstract: A wearable device that can receive a plurality of Global Navigation Satellite System (GNSS) timing signals using an antenna, where the antenna is located in an exterior portion of the wearable device such that the antenna receives GNSS signals at the external portion of the wearable device, without the GNSS signals first passing through an air gap within a housing of the wearable device. The wearable device is configured to determine a geographic location of the wearable device based at least in part on the GNSS signals. The wearable device is configurable to perform underwater dead-reckoning procedures, measuring energy levels during dwell periods, measuring efficiency of swim strokes, sharing wearable device information with other electronic devices, calibrating the wearable device, or a combination thereof.

Abstract: A wearable device that can receive a plurality of Global Navigation Satellite System (GNSS) timing signals using an antenna, where the antenna is located in an exterior portion of the wearable device such that the antenna receives GNSS signals at the external portion of the wearable device, without the GNSS signals first passing through an air gap within a housing of the wearable device. The wearable device is configured to determine a geographic location of the wearable device based at least in part on the GNSS signals. The wearable device is configurable to perform underwater dead-reckoning procedures, measuring energy levels during dwell periods, measuring efficiency of swim strokes, sharing wearable device information with other electronic devices, calibrating the wearable device, or a combination thereof.

Abstract: 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.

Abstract: A medical treatment apparatus includes a power and control (PAC) device. The PAC device provides electrical power through a cable to a laser handpiece assembly to electrically power a laser source within the handpiece assembly. The PAC device controls operation of the handpiece assembly and detects an identification of the handpiece assembly. The PAC device also monitors data relating to operation of the handpiece assembly. The PAC device uploads, through a communication network to a user assistance center remote from the PAC device, the handpiece assembly identification and the monitored data.

Abstract: A method of determining a location of a mobile device in the presence of a spoofing signal includes obtaining current position information associated with the mobile device, determining a Global Navigation Satellite System (GNSS) signal search window for acquiring GNSS signals associated with a satellite based on the current position information, searching a GNSS signal associated with the satellite based on the GNSS signal search window, and determining updated position information of the mobile device based on at least information of the GNSS signal associated with the satellite.

Abstract: Techniques disclosed herein are directed to detect the presence of false, incorrect, or spoofed Global Navigation Satellite Systems (GNSS) signals. Embodiments may comprise receiving, at a mobile device, a global navigation satellite system (GNSS) signal via a GNSS antenna of the mobile device; determining first movement data based on the GNSS signal; determining second movement data based on data from one or more motion sensors of the mobile device, wherein the first movement data and the second movement data each comprise respective movement-related information regarding the mobile device during a time period; and providing an indication that GNSS error is occurring based on a determination that a difference between first movement data and the second movement data exceeds a threshold.

Abstract: A method of determining a location of a mobile device in the presence of a spoofing signal includes obtaining current position information associated with the mobile device, determining a Global Navigation Satellite System (GNSS) signal search window for acquiring GNSS signals associated with a satellite based on the current position information, searching a GNSS signal associated with the satellite based on the GNSS signal search window, and determining updated position information of the mobile device based on at least information of the GNSS signal associated with the satellite.

Abstract: A Real-Time Kinematic (RTK) solution is provided to mobile devices having multi-constellation, multi-frequency (MCMF) functionality, in which a single base station may have a baseline much farther than traditional base station. To enable this, embodiments account for differences in atmospheric effects between the rover station and base station when determining a GNSS position fix for a mobile device (rover station), allowing for a separate tropospheric delay error for a base station to be determined. Embodiments may use additional satellite measurements for which no RTK correction is available, and may further use orbital clock correction for these additional satellite measurements.

Abstract: A mobile device may be configured to build a power mode database for positioning based on the mobile device's location and associate power mode information, including the operating mode that is requested for positioning and the operating mode that is used for positioning at the location. Additional factors may be associated with the location including contextual information, such as user context, environmental context, and temporal context. The power mode database may be a local database on the mobile device or a remote database, such as a crowdsourced database, accessible via a server. The mobile device may access the power mode database based on a current location and requested operating mode, as well as contextual information, to obtain the actual operating mode to be used for positioning at the location.

Abstract: Techniques are provided for utilizing a mobile device to estimate ionospheric delays in GNSS transmissions. An example method of determining a position of a mobile device includes obtaining a pseudorange measurements and carrier-phase measurements for a satellite at a first frequency band and a second frequency band, determining a bias estimate for the satellite based on a plurality of pseudorange measurements and carrier-phase measurements, determining a delta carrier-phase measurement for the satellite based on the carrier-phase measurements at the first frequency band and the second frequency band, and determining the position of the mobile device based at least in part on the delta carrier-phase measurement, and the pseudorange measurements, the carrier-phase measurements, or both.

Abstract: A medical treatment apparatus includes a power and control (PAC) device. The PAC device provides electrical power through a cable to a laser handpiece assembly to electrically power a laser source within the handpiece assembly. The PAC device controls operation of the handpiece assembly and detects an identification of the handpiece assembly. The PAC device also monitors data relating to operation of the handpiece assembly. The PAC device uploads, through a communication network to a user assistance center remote from the PAC device, the handpiece assembly identification and the monitored data.

Abstract: Embodiments herein provide for a Low-Frequency (LF) broadcast system that improves on the LORAN-C system to help optimize the use of available spectrum while modernizing the signal structure of broadcast signals. In particular, embodiments can utilize an Orthogonal Frequency Division Multiplexing (OFDM) signal structure to broadcast timing and data signals in successive symbols of an OFDM resource block. Signals can include, for example, comb-1, comb-2, or comb-3 signal structures. Other signal aspects such as muting schemes, modulation, frequency offsets, and the like may vary, depending on desired functionality.

Abstract: A method for maintaining timing accuracy in a mobile device includes: obtaining a range estimate using a signal received from a timing information source via a communication unit of the mobile device; obtaining position and velocity estimate information for the mobile device from a source of position and velocity information separate from the timing information source, the position and velocity estimate information being obtained from at least one sensor of the mobile device, or via a communication unit of the mobile device using a Vehicle-to-Everything wireless communication protocol, or a combination thereof; determining estimated clock parameters based on the position and velocity estimate information and the range estimate; and adjusting a clock of the mobile device based on the estimated clock parameters in response to a position-and-velocity-assisted timing uncertainty corresponding to the estimated clock parameters being below a timing uncertainty threshold.

Abstract: Techniques for Ultra Wide-Lane (UWL) Real-Time Kinematic (RTK) positioning a mobile device may include obtaining, using a multi-band GNSS receiver of the mobile device: a first carrier-phase measurement of a first GNSS signal on a first GNSS carrier frequency, and a second carrier-phase measurement of a second GNSS signal on second GNSS carrier frequency. Techniques may further comprise providing a position estimate of the mobile device, wherein: the position estimate is determined from a wide-lane (WL) combination of the first carrier-phase measurement and the second carrier-phase measurement, and the WL combination has a combined carrier phase noise that is less than a pseudo-range noise of the first carrier-phase measurement and a pseudo-range noise of the second carrier-phase measurement.

Abstract: A wearable device that can receive a plurality of Global Navigation Satellite System (GNSS) timing signals using an antenna, where the antenna is located in an exterior portion of the wearable device such that the antenna receives GNSS signals at the external portion of the wearable device, without the GNSS signals first passing through an air gap within a housing of the wearable device. The wearable device is configured to determine a geographic location of the wearable device based at least in part on the GNSS signals. The wearable device is configurable to perform underwater dead-reckoning procedures, measuring energy levels during dwell periods, measuring efficiency of swim strokes, sharing wearable device information with other electronic devices, calibrating the wearable device, or a combination thereof.

Abstract: Determining a boundary of a spoofing region identifying spoofed satellite signals may comprise determining, based on a first set of Global Navigation Satellite System (GNSS) signals received at a GNSS receiver over a first period of time, at least one GNSS signal corresponding to a GNSS satellite has experienced a first transition, wherein the first transition comprises a transition from a not spoofed state in which the at least one GNSS signal is not determined to be spoofed to a spoofed state in which the at least one GNSS signal is determined to be spoofed, or a transition from the spoofed state to the not spoofed state. Additionally, a first location corresponding to a location at which the GNSS receiver was located during the first transition may be determined.

Abstract: Techniques are provided for utilizing a mobile device to estimate ionospheric delays in GNSS transmissions. An example method of determining a position of a mobile device includes obtaining a pseudorange measurements and carrier-phase measurements for a satellite at a first frequency band and a second frequency band, determining a bias estimate for the satellite based on a plurality of pseudorange measurements and carrier-phase measurements, determining a delta carrier-phase measurement for the satellite based on the carrier-phase measurements at the first frequency band and the second frequency band, and determining the position of the mobile device based at least in part on the delta carrier-phase measurement, and the pseudorange measurements, the carrier-phase measurements, or both.

Abstract: A Real-Time Kinematic (RTK) solution is provided to mobile devices having multi-constellation, multi-frequency (MCMF) functionality, in which a single base station may have a baseline much farther than traditional base station. To enable this, embodiments account for differences in atmospheric effects between the rover station and base station when determining a GNSS position fix for a mobile device (rover station), allowing for a separate tropospheric delay error for a base station to be determined. Embodiments may use additional satellite measurements for which no RTK correction is available, and may further use orbital clock correction for these additional satellite measurements.

Abstract: A medical treatment apparatus includes a power and control (PAC) device. The PAC device provides electrical power through a cable to a laser handpiece assembly to electrically power a laser source within the handpiece assembly. The PAC device controls operation of the handpiece assembly and detects an identification of the handpiece assembly. The PAC device also monitors data relating to operation of the handpiece assembly. The PAC device uploads, through a communication network to a user assistance center remote from the PAC device, the handpiece assembly identification and the monitored data.