A wireless position computation session integrates location-related aid information from multiple sources to generate unified data for accurate device positioning.
A vehicle-to-vehicle collaborative positioning system adjusts host GPS data using relative position measurements from neighboring vehicles.
A three-frequency GPS method resolves whole-cycle carrier-phase ambiguities using composite measurements.
A vehicle positioning method selects candidate areas using current coordinates and historical trajectory data to determine precise location.
Onboard micro-BSA generates assistance data to reduce network congestion and battery consumption.
A hybrid location client device dynamically switches between server and client computation modes based on local radio propagation conditions.
A positioning system calculates cable length between a radio head and base station to determine mobile communication device location.
A UWB-based RFID system triangulates three-dimensional positions of personnel using time-of-flight measurements from monitoring stations.
Multiple receivers share partial data to classify signals without large antennas or high processing power.
Machine learning models analyze partial phase vectors and associated metadata to identify root causes of accuracy degradation in location systems.
Optical messaging systems replace complex GPS hardware with LED modulation controllers to enable precise location tracking and secure access control.
Segmented authentication with server mediation resolves the contradiction between wireless ease of operation and security reliability.
Dynamic selection between time and frequency domain processing lowers computational costs, extending battery life while maintaining positioning accuracy.
Functional grid elements integrate into stochastic sparse tree grids to process signal parameter vector data efficiently.
A wireless positioning device determines current location using count values and smoothing thresholds to filter invalid sampling positions.
Electronic device generates coverage maps from transmission end information to estimate external device locations.
Pre-configured measurement gaps reduce configuration delays and enhance positioning accuracy in wireless communication systems.
Synchronized microphone pairs process acoustic signals to locate firearm discharges with sub-microsecond precision.
A method processes wireless signal distance data to calculate linear equation coefficients for determining mobile device coordinates.
An add-on module passively measures local electromagnetic field distributions to determine position without active signal transmission.
A leading member acquires GPS data and transmits periodic signals to fleet members, enabling position calculation without local receivers.
Target UEs use double differential operations on single difference carrier phase measurements to cancel clock errors and improve positioning accuracy.
Disambiguate phase wraps using precision time difference of arrival measurements to resolve geolocation ambiguities in passive radar detection.
A range estimation method corrects systematic bias in received signal strength measurements using path loss parameters and detection thresholds.
Dynamic positioning reference signal updates adapt to user equipment location changes, improving accuracy while managing signaling overhead.
A central location system computes atmospheric delay corrections using dual-frequency receiver data to refine single-frequency positioning accuracy.
A wireless terminal position estimation method derives revised location estimates by combining partial satellite pseudo-range residuals with terrestrial base station signals.
Mobile terminals store device-specific tuning parameters locally to compensate for radio sensor biases during location estimation.
Multi-path wireless signal measurements estimate hidden vehicle positions, overcoming detection limits in poor weather.
Receiver merges satellite signals with cellular base station data to resolve position variables when visibility is limited.
A processing unit updates a machine learning model using signal measurements from reference nodes to estimate distances.
A location fingerprint database system uses particle filters to estimate device position from sensor readings.
A single high-performance satellite receiver monitors multiple towed vehicles via a controlled antenna switching mechanism.
Dual focal length optical trains form distinct target images on a single sensor, enabling six degree of freedom determination while reducing power consumption.
A portable positioning device fuses GNSS and inertial measurement unit data to determine geospatial coordinates.
Computing device identifies rogue access points by comparing spatial and reference distances to validate location data accuracy.
Encoding data in pulse phases resists jamming and spoofing attacks while increasing data transfer rates for reliable navigation.
Single antenna localization uses Doppler measurements to identify emitter position and carrier frequency without complex hardware arrays.
A beacon registration system uses radio wave field intensity to automatically specify equipment and associate it with a designated installation location.
Motion sensors trigger variable blink rates in RF tags, reducing signal interference and power consumption while maintaining location tracking accuracy.
Compact e-Navigation messages encode vessel track history to resolve low signal detectability for small vessels in noisy environments.
Mobile devices determine location by acquiring wireless signals and adjusting probe transmission power based on received signal strength measurements.
A location management system defines geofence boundaries to trigger wireless signal scanning only when a user device enters the area.
Multi-channel RF receiver uses ambient signals to maintain positioning accuracy when GPS is jammed.
A user equipment determines relative position using device-to-device signals and network assistance from a radio access node.
A location server processes WiFi signals to determine user paths and dwell times across an airport campus.
Sensor fusion enables a compact single-antenna UWB device to accurately position multi-antenna targets without increasing physical size.
A positioning system fuses GNSS and inertial sensor data to determine kinematic parameters.