A base station detects obstacles by measuring power levels and time differences in positioning reference signal reflections.
A MIMO method detects silent objects by monitoring relative phase variation, avoiding reflections that degrade conventional single-tone localization.
A multi-point radio fingerprinting technique groups identifiers from Bluetooth, WLAN, cellular, and NFC transceivers to create a unique device profile.
A hybrid tracking system selects object location data by comparing confidence values from feature-based and instance-based trackers.
A vehicle parking method determines a reachable second location using sensor data and trigonometry to enable straight backward movement.
A roadside system detects GNSS jamming signals by analyzing satellite navigation characteristics to identify interfering vehicles.
Mobile nodes autonomously calculate stationary node coordinates through multilateration, eliminating manual surveying and reducing setup time.
A hybrid location system combines electromagnetic and ultrasonic signals to determine mobile beacon positions through iterative calculations.
A mobile device computes position estimates using a subset of assistance data intended for a different positioning method.
Processor weighs positional data from multiple sources using a Kalman filter to identify absolute location of tracked objects.
Position estimation device calculates distances from RSSI values and applies correction processing when distance falls below a threshold.
A functional device locates an identification transmitter by analyzing original and reflected ultra-wideband signals.
A ranging device selects a parameter set minimizing the standard deviation of rising time to correct trip time measurements.
Compressed RF fingerprint archives reduce memory storage requirements while maintaining accurate indoor positioning effectiveness for mobile devices.
A location reporting system detects motional state transitions in wireless equipment to trigger network updates.
A base station transmits reference signals for positioning measurements using dynamic beam management to reduce signaling overhead.
A position estimation device corrects distance information using acceleration and direction data to determine wireless terminal location.
Estimates local oscillator fluctuations to configure subcarrier spacing and power allocation, achieving sub-meter positioning accuracy.
Multi-scale transform projects received signal strengths onto multiple scales to isolate and remove burst noise components from the data stream.
Adapting measurement report resolution via dynamic mapping selection improves indoor positioning accuracy while managing signaling overhead.
A positioning network establishes sub-networks using virtual base stations to provide single-baseline RTK services.
Segmenting GPS fixes with periodic Wi-Fi scans reduces power consumption while maintaining accurate indoor location tracking for emergency devices.
Encoding method segments radio node identifiers to fit signal strength data within limited bandwidth messages.
A multichannel correlation receiver measures phase differences across diverse signal parameters to calculate precise navigation coordinates.
Electronic device identifies position by matching detected communication signal intensities against pre-stored grid data.
A system distributes location-based offers to non-mobile devices by retrieving user profiles linked to mobile sensors.
A likelihood map associates network events with directional base station sectors to determine mobile terminal movement probability density.
Multiple distributed transmitters broadcast status data to resolve the contradiction between comprehensive information completeness and device complexity.
A multicarrier receiver aligns subcarrier phases to estimate precise location coordinates.
Virtual reference sources enhance user equipment positioning accuracy using recursive filtration techniques.
Retroreflector arrays reflect optical signals to calculate user distance, resolving infrastructure complexity and sensor cost limitations in indoor positioning.
An RF pulse correlator processes incoming signals using kinematic models to associate pulses with existing tracks or create new ones.
Processing measurement sets from collector devices determines RF signal source locations despite obstructed GNSS signals.
A state space estimation algorithm processes range measurements to determine relative position and attitude of a UAV body frame.
A multi-stage wireless ranging protocol uses narrow-band radios to estimate distance via time-of-flight measurements.
User equipment detects sidelink positioning ambiguity based on anchor node topology, then requests angle of arrival reports to resolve measurement errors.
Detecting path overlaps triggers bandwidth extension requests, enabling accurate RSTD estimation despite multipath interference.
Telecommunications system estimates unknown cell positions from adjacent known cells to resolve missing competitor network data for coverage analysis.
A dual-positioning electronic device switches between GNSS and indoor circuits to maintain location tracking.
Measuring channel state information across discontinuous frequency bands enables precise wireless node positioning without phase alignment.
Electronic Fence Supervisor detects fence faults and triggers immediate alerts, preventing pet escapes during power outages or wire damage.
Tracking hand movement via acoustic signals determines object location, resolving voice command failures in noisy environments.
Segmenting positioning reports with bitmaps transmits only significant RSTD values, reducing resource consumption while maintaining accuracy.
First device detects second device presence and adjusts acoustic signal characteristics to reduce cross-device interference.
A software-defined GPS receiver uses an SCA-compliant architecture to enable scalable and portable signal processing on general-purpose processors.
Inertial navigation data converts to virtual satellite ranging signals for seamless processing.