WI-MOID analyzes wireless signal variations through walls to distinguish humans from pets, reducing false alarms without line-of-sight cameras.
A vehicle-mounted positioning system acquires location data from an external terminal during startup to provide immediate coordinates.
An ultrasonic transmitter broadcasts unique device signatures to an array of receivers for relative position determination.
Integrating wireless detectors into lighting elements reduces RF interference from overlapping transceivers, enabling precise location tracking.
Wireless devices jointly process aggregated downlink positioning reference signals to enhance measurement precision.
Airborne sound tracking signals replace complex robotic systems to provide accurate multi-dimensional inspection probe position and orientation data.
A distributed system shifts geolocation processing to client devices using aggregated data patterns.
Digital beamformer introduces synthetic nulls to mitigate low-level spoofer and repeater signals that traditional spatial nulling misses.
Combines online wireless models with inertial sensors to correct drift and maintain accuracy in GNSS-denied environments.
Segmented data analysis nodes process local RF signals to identify criminal patterns while reducing centralized system complexity.
Secondary reference radios register locations with a server to resolve positioning estimation errors from signal disruptions.
Wireless system eliminates clock skew errors by processing multiple signal arrivals to achieve 60 cm location accuracy without synchronized transmitters.
A mobile device location system analyzes signal strength from nearby radiation sources to determine position coordinates using a power-weighted centroid calculation.
A reconfigurable intelligent surface adjusts received beams using a target codebook to determine the position of a receiving apparatus.
Optical detectors convert incident light into electrical signals to calculate position, eliminating gyroscope error accumulation and radio wave interference.
Decimation circuitry integrates digital baseband signals over code chips with varying start times to generate chip-phase matched filters.
A mobile device localization method calculates the variance of differences between current beacon signals and fingerprinted reference measurements to estimate position.
A beaconing device transmits multiple RF signals at distinct power levels for anchor devices to detect and calculate position.
User equipment allocates a PRS processing gap to prioritize positioning reference signal measurement over other downlink channels.
A positioning apparatus calculates movement azimuth and average speed to determine position during car travel.
A sound-based positioning system captures ultrasonic signals to determine device location through multilateration.
A weighted centroid localization system adjusts gateway weights based on time of arrival rank to estimate mobile node position.
Automatic coupling system enables trailer attachment to tractor units without manual intervention, resolving payload mobility trade-offs in military logistics.
A dynamic network of mobile devices detects RF signals and reports location data, resolving coverage gaps from stationary beacons.
Hybrid magnetic and non-magnetic sensors resolve hemisphere ambiguity by comparing candidate solutions for accurate tracking.
Location management function server coordinates sounding reference signal configuration between serving cell and transmission receive points.
Electronic apparatus estimates terminal positions using RSSI data from a mobile terminal, reducing calculation complexity and ambiguity.
A weighted centroid localization algorithm estimates mobile node positions using gateway RSSI measurements and rank-based weighting factors.
Dynamic RF training reduces multipath interference, improving indoor asset location accuracy.
Batched RF signal storage enables accurate indoor positioning without complete assistance tiles, reducing time to first fix.
A location marker uses retroreflectors and sequenced lights to provide visual identification for unmanned aerial vehicles.
A Multiple Content Message system generates composite data streams using a packing protocol to unify proprietary GNSS formats.
Serving base station measures downlink positioning reference signal time of arrival from non-serving cells to determine user equipment location.
Monte Carlo bootstrap sampling of phase likelihoods improves tag position accuracy without requiring complex phased array antennas.
Mobile tags use barometric pressure data from calibration nodes to estimate height without manual intervention.
A multifrequency receiver uses dynamic switching to share a single high-frequency chain across multiple bands.
Segmenting cells into grids with terminal IDs refines radio resource management data.
Segmenting range-dependent aquatic media into independent regions enables accurate source localization despite sloping interfaces.
Networked nodes capture and share measurements from heterogeneous RF sources to resolve timing synchronization challenges in GPS-denied environments.
A delivery system uses beacon proximity detection to enable real-time alternative address selection for addressees.
A positioning method calculates mobile location using weighted time differences across multiple cellular networks.
A wireless tag system transmits location data to electronic devices for real-time object monitoring.
Dynamic transceiver parameter configuration compensates for signal obstruction, improving measurement reliability in non-line of sight conditions.
A light direction detector measures LED intensity and propagation angle to determine six degrees of freedom.
A location acquiring system combines short-range Bluetooth with long-range GPS modules to track moving objects via a cloud center.
A proximity sensor uses a directional coupler to monitor reflected RF power for object detection.
A location monitoring system applies dynamic blurring to coordinates based on user-defined conditions.
Partition access points into batches using anchor devices to reduce computational complexity while maintaining geolocation accuracy.
Combines PRS, CRS, and CSI-RS reference signals to boost RSTD measurement energy.