G01S19/00

Estimating terminal device localization data

Inventive technology is directed to a control method for a terminal device in a non-terrestrial cellular data communication network. In an embodiment, the network includes at least one airborne or spaceborne base station moving along a flight trajectory for connecting the terminal device to the network. The method includes steps of: providing flight trajectory data for the base station in a memory element of the terminal device; providing terminal location data in a memory element of the terminal device; using a data processing unit, determining at least one time slot during which a wireless communication channel between the terminal device and the base station is estimated to be available, based on the flight trajectory data and on the terminal location data. The method also includes scheduling a data reception or transmission between the terminal device and the base station during the determined time slot.

Airborne or spaceborne base station for a non-terrestrial cellular data communication system

An airborne or spaceborne base station for a non-terrestrial cellular data communication system is disclosed. In one embodiment, the base station includes: a data transmission unit, a data reception unit, a memory element, and a data processing unit. The data transmission unit and the data reception unit are configured to establish one or more inter base station communication links with neighboring base stations of the non-terrestrial cellular data communication system. The data processing unit is configured to, in the memory element, store identifiers of neighboring airborne or spaceborne base stations of the non-terrestrial cellular data communication system with which the base station can exchange data via the one or more inter base station communication links. Furthermore, the data processing unit is configured to periodically update data describing a set of currently neighboring airborne or spaceborne base stations with which the base station can exchange data.

User identification via motion and heartbeat waveform data

The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.

User identification via motion and heartbeat waveform data

The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.

Method and device for converting state space representation information to observation space representation information

A method for converting state space representation (SSR) information to observation space representation (OSR) information includes: obtaining the SSR information, obtaining the OSR information, obtaining information of a virtual observation distance, and obtaining delay information of a troposphere and delay information of an ionosphere. A device for converting SSR information to OSR information includes: a satellite antenna, a global navigation satellite system (GNSS) board, a radio antenna, a mobile network module and antenna, a Bluetooth module and antenna, a Wi-Fi module and antenna, a status indicator light, a plurality of output interfaces, and a power supply unit. A conversion algorithm is realized for converting SSR information to OSR information, and the converted OSR information follows the international standard protocols and can be received by most GNSS receivers. A conversion device is developed based on the aforementioned method.

System and method for validating GNSS location input

A computer implemented method of validating an output from a GNSS at a receiver including a fusion system comprising location sensors. A location estimate and a location error estimate are computed. A navigation update including a sensor location estimate and sensor location error estimate is also computed with the fusion system based on sensor measurements from the location sensors. A determination is made as to whether or not GNSS filters should be applied based at least on the location estimate, the sensor location estimate, and the sensor location error estimate. When GNSS filters should be applied, the location estimate and/or the location error estimate may be adjusted or rejected and a new navigation update may be computed with the fusion system based on the adjustment or rejection. When the GNSS filters should not be applied, the new navigation update is computed with the location estimate and the location error estimate.

Navigation with differential carrier phase measurement from low earth orbit satellites

Systems, device configurations, and processes are provided for navigation and determination of navigation observables based on low Earth orbit (LEO) satellite signals. A method for navigation includes using differential carrier phase measurement of LEO signals including correction of position estimates using integer ambiguity resolution and double difference carrier phase determinations. Frameworks described herein can use a computationally efficient integer ambiguity resolution to reduce the size of the integer least squares (ILS) determination. The framework may include a joint probability density function (pdf) of the megaconstellation LEO satellites' azimuth and elevation angle to characterize a LEO system. Embodiments are also directed to correction of ambiguities of carrier phase differential (CD)-low Earth orbit (LEO) (CD-LEO) measurements that may utilize a base and a rover without requiring prior knowledge of rover position.

Systems and methods for detecting and assessing distracted drivers

Embodiments of the present invention meet this need and others by providing systems and methods for detecting and assessing distracted drivers. Embodiments collect vehicle and driving data using a mobile device of a user. In a particular embodiment, data collected using the mobile device is analyzed to determine when the user is engaging in distracted driving behavior.

Personal items network, and associated methods

A system employs data taken from monitor devices and applies that data to video games, arcade games, computer games and the like (collectively a game) to personalize the game to real ability and persons. For example, when a monitor device is used to capture airtime (and e.g., heart rate) of a snowboarder, that data is downloaded to a database for a game and used to limit how a game competitor plays the game. In this way, a snowboard game player can compete against world-class athletes, and others, with some level of realism provided by the real data used in the game.

Personal items network, and associated methods

A system employs data taken from monitor devices and applies that data to video games, arcade games, computer games and the like (collectively a game) to personalize the game to real ability and persons. For example, when a monitor device is used to capture airtime (and e.g., heart rate) of a snowboarder, that data is downloaded to a database for a game and used to limit how a game competitor plays the game. In this way, a snowboard game player can compete against world-class athletes, and others, with some level of realism provided by the real data used in the game.