Position Fixation TRIZ Cases

A spatial association model validates RF tag positions against predefined asset dimensions to filter erroneous location data.

A navigation receiver examines assistance data to identify specific broken signals from satellites.

A ranging method calculates distance using phase differences between carriers of frequency-converted signals exchanged across separate channels.

A report converter approximates polygon positioning data with an ellipsoid point and uncertainty ellipsoid.

A radio frequency device determines relative position using measured angles of arrival and sensed orientation data.

A timing-based radio positioning network estimates range biases to adjust measured distances for precise receiver location determination.

A dead reckoning altimeter integrates forward speed and acceleration data to calculate altitude changes without continuous GNSS signals.

A neural network fuses reference signal measurements with local sensor data to generate precise position estimates.

A radio base station selects transmission points to transmit positioning reference signals.

Periodic activation of the receiver module refreshes route data while minimizing battery drain from continuous operation.

GPS-enabled devices capture shot data for remote analytics, resolving the contradiction between detailed performance insights and uninterrupted gameplay flow.

Angle-of-arrival detection compensates for angle-dependent antenna group delays, reducing distance estimation errors in high-precision navigation.

Correlating ADS-B position data with sensor inputs to automatically label moving objects, eliminating the 800-hour manual labeling bottleneck.

A processor detects mobility mode states using a Hidden Markov Model to estimate position data from satellite navigation signals.

A local wave propagation model estimates signal direction to calculate receiver position without accurate transmitter data.

Group common downlink control information segments aperiodic positioning reference signal triggering commands into specific bit blocks.

Post-processing synthesizes radio transmitter characteristics to maintain measurement packets during reception gaps.

Crowd-sourced triangulation calculates beacon positions from mobile device signals, resolving range limitations in context-sensitive applications.

Segmenting time intervals across multiple transceivers improves positioning accuracy while reducing energy consumption for indoor applications.

A positioning-only user equipment transmits a specific message to receive sounding reference signal configuration for uplink sessions.

Iterative block subdivision refines target location areas in passive TOA and TDOA systems.

Digital signal abstraction increases RF fingerprint discriminability while maintaining transmission integrity.

Segmented measurement reports balance precision against signaling overhead by dynamically adjusting resolution levels for accurate indoor positioning.

A wireless identification system calculates relative location information between devices to determine intended recipients.

Centralized signal analysis method estimates source location using uncalibrated electromagnetic sensors.

A roadside positioning method merges GPS data with wireless signals to determine user location.

Segmented CRS and PRS transmission with orthogonal cover codes reduces urban interference while maintaining channel estimation accuracy.

Integrates ADS-B and multilateration data streams to validate navigation integrity against complex system validation requirements.

Terminals prioritize relative position measurement requests based on service type and latency requirements to resolve processing efficiency bottlenecks.

A passive receiver estimates position by measuring time of arrival from multiple beacons.

An MBIM device establishes a direct data channel between the terminal and GPS module, eliminating the need for USB drive installation.

A likelihood map system generates probability density functions from receiver signals to pinpoint emitter locations.

Neural networks determine preferred antenna switching patterns to minimize settling delays and enhance I/Q signal quality.

A secured ranging protocol enables accurate distance measurements between neighbor awareness networking devices.

Configuring a measurement time window using system frame numbers aligns timing to resolve synchronization gaps that reduce positioning accuracy.

A handheld RFID reader determines tag bearing using accelerometer data and signal phase analysis.

Network Data Analytics Function combines trajectory and MDT data for relative proximity estimation.

Segmenting precise geographical position into variable parts reduces data size and electrical consumption while maintaining geolocation precision.

A wireless tracking system uses a management unit to control station pinging for device detection.

An assistance server transmits PRN code chips to a receiver for storage, enabling position determination via encrypted signals without real-time communication.

Navigation system initializes inertial and GNSS subsystems quickly by detecting target points with a camera, reducing time to first fix.

A hand-held controller uses beacon sensing and inertial measurement units to determine position and orientation within a three-dimensional volume.

Transmitting detection probability alongside signal accuracy allows receivers to calculate integrity risk without assuming perfect error detection.

An ARIMA algorithm compensates for non-line-of-sight propagation errors in urban UWB positioning, resolving accuracy degradation caused by signal blockage.

A projective optical metrology system uses dichroic elements and optical fibres to segment white light beams for satellite position determination.

Orthogonal light curtains detect projectile position via telecentric lenses, eliminating parallax errors without increasing apparatus complexity.

A position determination node matches measured downlink power signatures against reference signatures to locate a wireless device within a single radio cell.

A hybrid positioning system constructs a dynamic map from GPS, cell tower, and WLAN data to estimate location accurately.