Position Fixation TRIZ Cases

A GNSS positioning system applies plate tectonic velocity vectors to update base station coordinates.

Adapting RSTD report resolution based on PRS bandwidth balances positioning accuracy against user equipment complexity.

Interrelated neural networks process raw RSSI data to determine mobile unit positions in real time.

Antenna triplet measures path differences to determine relative angular position, eliminating dual-frequency chains and inter-channel bias errors.

A server system associates wireless access point data with location fingerprints to identify significant places.

A backend server calculates sound source location using radio frequency timestamps from multiple devices, eliminating timing synchronization errors.

A mobile device retrieves current location information from a built-in GPS module and sends it to another computing device via an instant messaging application.

A first wireless node transmits beam ridge information to a position estimation entity.

An information processing device acquires time-series position data from terminal devices to determine retention criteria.

An adjustable switching threshold selects between phase locked and automatic frequency control loops, resolving decoding errors under dynamic stress.

An exterior spool and hook-and-loop strap secure a bulky EPIRB to a limb, resolving the conflict between waterproof durability and manual carrying effort.

A mobile device system distinguishes drivers from passengers using GPS position and velocity tracking to enable selective communication access.

Per-chain SNR analysis discards multipath and NLOS affected measurements, resolving RSSI variability trade-offs for accurate positioning.

Encoding auxiliary sector data in the time report sequence resolves RTT accuracy loss in psi-coverage systems without RNC changes.

A positioning system calculates attitude vectors to correct reference measurements on oscillating bodies.

A hull robot navigation subsystem determines position using sensor data and vessel motion compensation.

A compact spherical target with a central light source enables three-dimensional coordinate computation using multiple cameras.

A probabilistic signal fusion system combines heterogeneous signals using a likelihood processor to determine device location.

A server determines device location by processing positioning signal measurements collected from lower-capability measurement devices.

Dynamic buoyancy control allows sonar emitters to cross thermocline layers and reduce platform signal disruption.

Segment geofence evaluation into client-side priority tiers and server-side processing to reduce mobile CPU load and battery drain.

A phase shifter applies angle-dependent shifts to signals from closely spaced antennas, enhancing directional sensitivity without increasing physical aperture size.

A novel asynchronous localization method uses cooperative networked transceivers to measure time differences of arrival from unsynchronized terrestrial transmitters.

A low-power transmitter sends location data when a sensor detects wireless communication activity from an electronic device.

Computing unit aligns acoustic signals to a common time reference and identifies candidate impulses for event detection.

Compensating heterogeneous terminal measurements via reference parameters resolves accuracy deterioration caused by device-specific signal variations.

A wearable locating device integrated into a glove transmits ultra-wideband signals to stationary anchors for real-time position determination.

Stationary radio devices calculate fingerprint similarity to determine mobile device positions, eliminating external gateways and reducing system cost.

A vehicle relative position estimation apparatus uses a Kalman filter to process motion data from multiple vehicles.

Detects replay attacks by comparing source positions of speech frequency components captured via multiple microphones to identify spoofing attempts.

A mobile device validates position data by comparing GNSS navigation timestamps with cellular network signal times.

Hierarchical threshold calculations localize RFID tags while dynamic RF parameter adjustments resolve adaptability versus complexity trade-offs.

On-body sensors capture distance and orientation data to classify visual body signals, overcoming camera field-of-view limits and high equipment costs.

Single phased array antenna resolves ambiguity and improves accuracy without multiple receiver subsystems.

External lighting sensors provide environmental data to augment AR device localization, resolving accuracy issues in low light conditions.

Azimuth detection units adjust received signal strength indicators to compensate for directional variations in wireless tracking.

Analyzing round trip time measurements between devices and access points resolves accelerometer false positives from sudden movements.

Devices transmit uplink configuration parameters to networks, resolving parameter availability delays in control-plane signaling.

Extended Kalman filter blends GNSS and IMU data to estimate speed scale-factor and heading bias errors.

A navigation receiver calculates position using clock drift and velocity data from fewer than four transmitters.

Error recovery in null data packet ranging exchanges ensures accurate indoor positioning by correcting transmission failures during measurement cycles.

A mobile device establishes relative feature spot maps using motion and proximity sensors to determine absolute coordinates.

Collaborative localization system determines device position using RF signal strength and encounter geometry data.

Segmented label groups resolve GPS interference by mapping signal relationships to specific positioning areas.

Relocating orbit determination to ground stations reduces satellite mass and cost by processing pseudonoise signals for precise range and velocity data.

A linear aerial with segmented orifices detects prohibited devices while rejecting authorized signals to minimize false alarms.

A mobile device identifies a proximate beacon by calculating average received signal strength and deviation over an observation period.

An RFID tag compares signal strengths from multiple readers to determine its closest proximity.

A beacon transmitter suspends signal transmission after receiving acknowledgements to conserve battery energy.