Transmitting user equipment location enables raytracing algorithms to determine channel state information, reducing feedback overhead and latency.
Conductive surface generates radio frequency pulses from hypervelocity impacts for precise location tracking.
Joint time-space processing caches multi-slice measurements and calculates trajectories to improve accuracy in high-mobility networks.
Network devices configure frequency domain resource positions for multiple positioning reference signals within a single layer to enable simultaneous transmission.
Two-cluster angle of arrival tracking uses asynchronous ultrawideband receivers to estimate time difference of arrival via cross-correlation peak detection.
A direction finding system uses pre-trained artificial neural networks to estimate transmitter locations from bearing data.
Multi-scanner systems detect highly utilized channels and triangulate interferer locations to resolve co-channel interference bottlenecks.
A GNSS-IRS hybrid navigation system distributes fault detection across multimode receivers to generate guidance data.
Cellular-Ubiety identifiers map user equipment positions using real-time timing measurements from cellular transceivers.
A partial search method selects likely integer ambiguity combinations using floating values to reduce computation time.
Machine learning estimates base station locations from user equipment measurements, reducing processing complexity while maintaining measurement completeness.
Automatic location registration via inaudible audio signals eliminates manual input, resolving the trade-off between ease of operation and device complexity.
Processor detects access points significantly distant from a representative cluster to correct database inaccuracies caused by dynamic location changes.
A configuration method allocates machine learning models into baseline and specific groups for user equipment.
Maximum likelihood code phase discriminator converts Early, Prompt, and Late correlators into a precise time of arrival estimate.
Calibrating antenna arrays with hop-specific coefficients for accurate angle of arrival estimation.
Self-calibrating base stations eliminate manual setup efforts while maintaining high positioning accuracy for livestock tracking systems.
A UWB distance measuring apparatus switches between measurement modes based on initial range data.
An RF integrated circuit processes GPS signals alongside motion sensor inputs to generate reliable position information during signal interference.
An airborne station calculates round trip time vectors to determine ground device positions.
A mobile device association method compares GNSS position estimates over overlapping time periods to detect colocation patterns automatically.
A position estimation engine selects optimal modes using anchor data.
User terminals determine absolute geographical coordinates by measuring pilot signals from serving radio base stations.
A polarized RF referencing system measures full angular orientation and position using amplitude-modulated reference sources.
A first device establishes connections with a second device using ultra-wideband positioning to perform identity authentication.
A central control unit synchronizes multiple receivers with measurement parameters to determine transmitter positions.
A terminal transmits capability information and measurement results to a network using a control unit.
Predicting UE motion allows dynamic beam adjustment, reducing overhead while maintaining coverage reliability.
A pattern classifier estimates wireless terminal location using local signal traits without external infrastructure.
A mobile receiver unit captures satellite position data and radio signals from buried transceivers to establish a spatial field model for direction-assisted navigation.
A synthetic aperture positioning system leverages low earth orbit signals of opportunity to estimate receiver location and timing.
A positioning entity obtains location-specific error distributions to determine user equipment location estimates.
Combining positioning reference signals with discovery reference signals improves terminal accuracy in congested areas.
Multi-channel microphones analyze acoustic signals to locate nearby vehicles, compensating for sound insulation that blocks driver hearing.
Selective passive scanning triggered by low probe responses reduces power consumption and latency while maintaining indoor location accuracy.
A grid cell location encoding method transmits least significant bits of counter values to optimize data volume.
A receiver correlates radionavigation signals using alternating binary waveform segments to simplify processing architecture.
Antenna housing merges differential-GPS and GPS ranging signals to upgrade receivers without replacing hardware or increasing complexity.
Data phase measurements resolve position ambiguities, reducing computational resources by a factor of 20.
A proximity tracking system records unique identifiers to generate contact network maps.
Distributed antennas on vehicles measure time of arrival differences to resolve satellite signal blockage in urban canyons.
Dynamic hand-shaking between location servers and radio network nodes prioritizes positioning reference signals over data reception, reducing network latency.
A system associates audio sources with visual objects in video to synthesize spatial audio signals for virtual microphone positions.
Stationary modules pivot to reach the wrench, resolving signal obstruction by car body parts and ensuring reliable position determination.
Hierarchical threshold calculations localize RFID tags while dynamic reconfiguration resolves adaptability contradictions for secure access control.
Allocating designated time slices for synchronized UWB pulses resolves weak GPS signal issues in urban canyons, enabling 1 cm position accuracy.
A GPS accuracy prediction system calculates post-processed precision using carrier lock and dilution data.