Position Fixation TRIZ Cases

A position-aware vehicle UI shows only relevant information and remote controls, reducing overload and improving safe operation.

CIR analysis from UWB key signals distinguishes front-side from back-side lock position to prevent unintended unlocking from inside.

Beam-guided wireless transceivers use radio localization and articulation angle feedback to keep high-bandwidth vehicle links reliable.

Polar-coordinate storage, axial alignment, and selective Cartesian conversion reduce radar memory demand and processing time.

Directed RF beams identify each parked tire sensor without a drive cycle, enabling immediate TPMS location mapping and pressure updates.

Quantization errors are carried as Kalman filter states to bound accumulated navigation error and keep position updates reliable under weak GPS signals.

Microphone arrays on different vehicle sides detect siren intensity and direction, helping autonomous vehicles yield without blocking emergency traffic.

RSSI signatures matched with ABS wheel angles localize TPMS sensors accurately without accelerometers or multiple host devices.

Error-based switching between CRLS and GNSS improves AD/ADAS reversing accuracy and manoeuvre stability under changing conditions.

A terminal compares overlapping vehicles' positioning modes and applies the most precise shared mode to cut hardware cost while maintaining safety.

Using cross-correlation and 2D FFT, two antennas detect UAVs more accurately and cut false alarms without phased-array complexity.

Sensor zones verify a full 360 vehicle walk-around before ignition or shifting, reducing missed inspections and unsafe engagement.

Partially overlapping FPCB antenna patches enable compact UWB angle-of-arrival measurement with better location accuracy in constrained devices.

Angle-dependent attenuation between antennas enables low-cost, accurate 3D radio source location from signal strength differences.

Velocity data from a moving leader vehicle corrects GNSS baseline errors, improving relative positioning accuracy between vehicles.

A detachable handle shifts the GNSS receiver battery for balanced handheld use, hot-swapping, and pole-mount flexibility.

A PCB security island isolates ASIL-critical processors and encrypts board-level communication to cut control unit development burden.

RF messages timed to wheel rotation let the central unit detect wheel position changes while limiting TPMS battery drain.

Dual receivers compare tire transmitter signal strengths and ratios to identify wheel position without extra rotation sensors or sensitivity calibration.

By comparing signal strengths from two vehicle receivers, this case identifies tire mounting positions without extra rotation sensors or drift from power variation.

A 180-degree phase toggle and signal subtraction cancel on-chip leakage, improving RF range detection without wider TX-RX spacing.

Signal strength tracking of a portable device distinguishes drivers from passengers and applies seat-specific vehicle settings automatically.

NFMI-based hearables combine voice commands with occupant location to control HVAC, lighting, and infotainment in the correct vehicle zone.

Radio signal strength mapped to horizontal coordinates enables accurate flying-body altitude calculation without extra sensors in urban airspace.

Adaptive IMU reporting helps radio networks maintain accurate mobile and unmanned vehicle positioning when GNSS or OTDOA degrades indoors or in cities.

Terminal GNSS capability signaling lets the network set suitable connected-state measurement gaps to improve accuracy and avoid unnecessary power use.

Magnetic markers, RFID tags, and reflective beads in pavement markings improve autonomous vehicle positioning in adverse weather while supporting charging guidance.

A base-station positioning scheme combines sensor data with TDOA and TOA models to reduce multipath errors and improve pool-cleaning path planning.

Coordinated light-emitting drones use feedback and trajectory control to launch, land, and display from moving platforms.

Distributed receivers use ADS-B Doppler, TDOA, and FDOA to verify aircraft position and velocity without GPS, improving surveillance security.

Position-aware algorithm switching lets mobile security cameras apply the right video analytics in each area, improving indoor and outdoor detection accuracy.

Acoustic anchors and tags locate the welding tool in real time, enabling objective technique feedback and more reliable weld quality.

RF power changes from a leading aircraft provide redundant close-range collision alerts and disengagement cues during formation flight.

Blending anchor time-of-flight data with guidewire sensing improves warehouse vehicle positioning in open areas and rack aisles.

AI combines camera, microphone, geofence, and lock control to authenticate visitors and delivered packages and reduce unattended theft.

Magnetic lane markings with RFID and wireless charging improve vehicle guidance in bad weather while reducing reliance on costly onboard sensors.

Modulated light patterns on landing pads let onboard cameras estimate eVTOL pose accurately when GPS signals are blocked or degraded.

A single non-geostationary satellite uses signal arrival times and orbital position to locate moving vehicles with lower cost and less error.

Physical markers such as RFID, UWB, magnetic strips, or codes help service robots avoid escalators and recover accurate global position.

By fusing user voice, appliance sound data, and inaudible signals, this case improves indoor position detection despite noise and reflections.

Dual UWB anchors at different cart positions improve user localization, enabling permitted-area following and collision-safe tracking.

A dual-antenna orienting assembly detects an operator’s position, orientation, and turning angle for smoother four-legged robot accompaniment.

Electromagnetic emitters and receivers give drones real-time relative positioning for formation keeping, collision alerts, and more autonomous flight.

Iterative measurement updates decouple process and measurement noise, improving state tracking when sensor quality varies.

Wireless signals locate tagged objects and steer a light source toward them, cutting manual package searches and tracking errors in large facilities.

Two synchronized wideband base-station signals let UAVs determine position without GNSS, improving indoor and urban navigation resilience.

AR tags let mobile robots correct pose in real time when indoor sensors fail or environments lack reliable features.

Robots continuously measure Wi-Fi and cellular signatures to build temporally accurate coverage maps for practical device localization.

RFID tags and onboard receivers triangulate landing pad position and orientation without satellite links, enabling reliable low-cost landing in blackout conditions.

2D marking patterns enable precise relative localization and orientation of mobile robots for docking and navigation with lower system complexity.

Dynamic selection between RF-S, PRS, and combined schemes balances UE power consumption, positioning accuracy, and latency.

Variable radio conditions trigger selection among positioning methods to maintain cellular location accuracy at cell edges and behind obstructions.

Reference-signal timing groups help the network account for related transmission and reception errors when calculating wireless device position.

An IRS path indicator lets the location server exclude inaccurate reference-signal measurements from UE positioning.

Paging triggers let idle or inactive UEs report positioning reference-signal measurements without periodic connected-state transitions, reducing power and link-resource waste.

Angle, ranging, and GNSS measurements are globally computed to quickly establish accurate orientations and positions across indoor devices.

A TDD interrogation device separates uplink and downlink bandwidths, while filtered RF power measurements improve wireless phone location.

This case merges interpolated IQ streams with satellite constellations, enabling motion-aware GNSS tests for jamming and spoofing scenarios.

This case uses spatial label analysis and minimum inference error to trigger actions when AI/ML positioning monitoring quality fails.

This case uses channel impulse response features and LOS screening to exclude non-LOS base stations from positioning.

A network device calculates terminal location from satellite reference-signal timing differences, avoiding GNSS capability at the terminal.

Channel measurements select among prepared positioning AI models, enabling timely updates as wireless channel conditions change.

This case coordinates beam, TRP, and cell measurements among co-located nodes to improve coverage while reducing coordination overhead.

Reference nodes and periodic radio ranging identify danger zones and warn personnel despite industrial metal obstructions.

Differential measurements across RIS-reflected paths compensate wireless-node timing errors during mobile position estimation.

Beacon-based RF fingerprints help diagnostic circuitry detect misplaced sensors and radio-performance changes in each building zone.

This case uses timed PSI reports after PRS measurements to improve positioning responsiveness while controlling reporting overhead.

A location server supplies expected offsets and configurations, reducing UE processing complexity while improving 5G positioning precision.

A state sensor wakes the GNSS receiver only when slope changes occur, reducing battery size and simplifying field installation.

Compare telecom-derived and independent positions to verify signal reliability.

Phase slopes across CIR indices improve UWB AoA accuracy across LOS and NLOS paths.

Reference-UE measurements and common-cell data feed ML similarity models for faster, more accurate UE position estimates.

Valid range and time let terminals retain uplink positioning settings after reselection, reducing power use while preserving accuracy.

Optical sensors capture bar code images to calculate object position and rotational orientation in real time.

Measuring devices determine cross-correlation between received and transmitted signals to identify reflecting clusters based on temporal behavior.

Extracting autocorrelation maximums from sensor signals reduces data transmission volume while maintaining locating precision.

Nodes estimate positions via four-simplex geometry to avoid network overload and reduce processing resources required by centralized data gathering.

A star sensor measurement method correlates adjacent frames using gyro data to suppress dynamic errors and noise.

Acoustic and infrared generators simulate gunshot stimuli to verify sensor operation without environmental disruption.

System uses sensor location to distinguish security sounds from noise, reducing false notifications.

A local positioning system uses multiple antennas and trilateration to determine tag location via signal flight times.

A wireless device transmits reference signals with an angle of departure identifier to enable access nodes to determine position.

A positioning unit estimates vehicle location via narrow-band and wide-band radio signals.