Position Fixation TRIZ Cases

Controller image processing synchronizes a simplified 3D digitizer probe, reducing hardware complexity and manufacturing costs.

A navigation system combines wireless and acoustic signals to resolve low positioning accuracy and anti-interference issues in large indoor spaces.

An entropy-based algorithm estimates channel impulse response statistics to identify non-line-of-sight conditions in wireless systems.

Pre-computed correction signals mitigate array factor distortions caused by antenna attitude changes, preserving GPS measurement precision.

A distributed system propagates infomatics based on spatial and organizational node states.

A user equipment decodes positioning reference signal configurations to determine subframe availability for time difference measurements.

Mobile application software tracks user locations and velocity to identify potential collisions using existing device sensors.

A mobile terminal position determination device uses cell area positions instead of base station transceiver coordinates to locate the device.

Antenna array measures angle of arrival to calculate positions, eliminating complex infrastructure requirements.

A position detection apparatus captures operation and background image data to isolate indication positions from external light interference.

A first target device transmits a measurement report message containing round-trip and reply time information for distance calculation.

A mobile electronic device tracks its position using a bounded grid of cells with probability values updated by measurement signaling.

Iterative confidence adjustment for low quality pairs improves trajectory matching accuracy by 10% while reducing computational complexity.

A network component derives a measurement model from uplink signals to process downlink beams for target user equipment.

Bayesian estimators process fingerprint maps to resolve indoor localization accuracy despite signal attenuation and non-line-of-sight conditions.

A transmitting unit calibrates its position by emitting signals to surrounding units and measuring response times.

A communication device correlates wireless signals using a data matrix conversion to estimate reception time.

User equipment calculates coordinates using reference signal phase differences across multiple subcarriers.

A location services platform integrates disparate positioning technologies to unify data streams for seamless application access.

A localization apparatus estimates current position using measured Wi-Fi signal strengths and predicted values for candidate floors.

A deployable sensor network combines multilateration and acoustic fingerprinting to identify aircraft and vessels across diverse terrains.

Base station allocates fake identifiers to mobile stations for cooperative position measurement, reducing power consumption while maintaining accuracy.

A receiver determines position by measuring carrier phase variations of signals from transmitters.

A GNSS signal authentication system generates a digital fingerprint from unique phase relationships between satellite antenna signals to verify authenticity.

Trace session identification parameters link mobile terminal measurement logs with position estimates, eliminating timestamp-based correlation delays.

FFT correlation modules enable fast acquisition of weak GPS signals below -175 dBW EIRP.

A communication device configures a reduced antenna codebook to steer beams away from interfering signals during mobility management.

Ping-pong time stamping calculates distance between nodes using two timestamps and multiple packet exchanges.

Combining PDOA, TDOA, and FDOA measurements enables precise geolocation without requiring wide-band transmission or long observation periods.

A base station broadcasts coordinate and uncertainty data to wireless receivers.

A wireless device transmits positioning access requests to non-serving network nodes for Timing Advance estimation.

Wireless devices request high accuracy positioning information from the network for a predefined period to enable precise location tracking.

Network device controls radio map quality information access based on entity contribution significance to prevent bad faith misuse.

Active reflector radio frequency ranging system uses delta sigma phase lock loops to maintain phase and frequency coherence between master and slave units.

Machine learning models generate place-entity embeddings to predict subsequent geographic locations based on historical visit patterns.

User equipment measures phase differences between reference signals from base stations and feeds back the difference value to improve location estimation accuracy.

Wireless devices transmit uplink signals to capture backscattering measurements for network environment estimation.

A distance estimation device calculates phase rotation amounts across subcarriers to determine a characteristic coefficient for accurate positioning.

A location server fuses GNSS and non-GNSS data to refine reference positions for mobile devices.

Merging laser targeting and geolocation modules reduces equipment weight while maintaining full operational versatility.

A Near-Real time RAN Intelligent Controller predicts user equipment location using collated measurements from multiple transmission receipt points.

A camera and computing system superimpose a virtual component image over a live base view for precise assembly alignment.

Positioning engine models location probability distributions using mutual signal observations from co-located tags.

User equipment selects candidate beams using priority indicators and line-of-sight metrics to maintain precise location tracking.

Dedicated time slots isolate uplink distance measuring signals from data traffic to enhance mobile terminal localization accuracy.

A positioning system refines range measurements using surveyed reference points to correct fixed biases.

Extracted location anchors improve estimation precision by lowering total installed costs compared to full access points.

Vibrators separate ambient sound into individual tones to locate specific sources, resolving identification accuracy against system complexity.

Segmented integrity modules detect scalar and vector biases in landmark data, preventing undetected positioning errors.