Position Fixation TRIZ Cases

Phase slope consistency, phase-difference ratios, and path loss are used to distinguish LOS from NLOS and improve positioning precision.

Aggregating associated PRS resources across multiple frequency layers expands measurement bandwidth and improves terminal positioning accuracy.

By combining angle-of-arrival data with external device positioning, this case improves 3D wireless transmitter location accuracy.

Fusing UWB, GNSS, and IMU data with track geometry improves train location precision, enabling safer high-speed, high-capacity operation.

Selecting SL-PRS resources within sidelink DRX active windows improves 5G positioning resource use and cuts session latency.

Helping nodes relay RF-shifted copies of one sensing signal to improve positioning accuracy while avoiding sync errors and extra signaling.

Ontology rules fuse heterogeneous sensor and object data to locate composite entities accurately, resolve conflicts, and support geofencing alerts.

Sensors and actuators keep the underwater camera aligned with feed pellets beneath the feeder, improving feeding observation and reducing waste.

Periodic switching between low-power and high-accuracy localization limits drift while meeting target energy and error bounds.

Track geometry combined with UWB, GNSS, and IMU observations improves train location precision for safer high-speed operation and closer spacing.

Combining position information and measurement result requests into one SRS message flow cuts base-station interactions and lowers positioning delay.

Multiple sensors use time-of-arrival data and cluster filtering to locate drone and other radio emitters without prior frequency knowledge.

Grouping cells by shared PRS attributes prunes TOA measurements and builds better TDOA vectors for more accurate UE positioning.

Combining network PRS, sidelink reference signals, and ML inference improves user-device positioning in obstructed telecom environments.

A PC5 sidelink ranging exchange measures terminal distance and angle while balancing positioning accuracy, speed, and security.

Machine learning narrows likely neighboring base stations so UAVs can shorten measurement gaps and reduce communication delay.

Radio measurements and predicted signal conditions reveal false drone positions, helping networks detect no-fly violations and uplink interference.

UWB beacons and terminal orientation data anchor virtual objects accurately indoors, avoiding GPS limits and full environment vectorization.

Differential signal quality cuts positioning data traffic from terminal devices, easing congestion and server load while preserving accuracy.

Doppler-based carrier phase compensation improves wireless positioning reports by correcting frequency shifts before results reach the core network.

Radio signals replace manual fire equipment inspections by locating each unit and mapping it to predefined AOI positions.

Maps second-stage SCI onto time-frequency resources to indicate SL PRS transmission, improving sidelink positioning accuracy and resource use.

Region-specific positioning assistance lets user equipment process only local data, improving accuracy while reducing latency and power use.

A 2D RSSI graph and automatic fingerprint updates improve mobile proximity positioning without manual recalibration.

A single device follows a preset track and fuses Wi-Fi features with motion data to locate targets indoors without reference points or fingerprint maps.

Radio signal positioning maps safety equipment to predefined AOI locations, cutting manual inspection effort, errors, and update delays.

Adaptive Gaussian mixture noise updates improve mobile node localization from sparse range measurements with limited calibration and few static nodes.

Reliability and integrity indicators based on base station count and positioning error help request devices judge position quality and warn in time.

Uses a flexible reference direction and conical geometry to improve close-range terminal positioning with lower-cost linear antenna arrays.

Automatic switching across short-range, cellular, satellite, and remote-device links helps distress data reach rescue systems faster when networks fail.

Combining RTLS with robotic total station tracking enables seamless indoor-outdoor positioning, switching to high precision near targets.

Surrounding-device position data lets a server correct wearable location errors caused by nearby people while limiting device power use.

Uses BLE as a bridge so UWB user equipment can accurately point to and select non-UWB IoT devices with one consistent interaction.

Calculated PRS timing offsets align neighbor base station signals at the UE, reducing interference and improving OTDOA positioning accuracy.

A transmitted time offset lets an energy-harvesting node backscatter a positioning signal at known timing, improving location reliability.

Multiple beams and combined multipath responses help isolate true line-of-sight signals, improving wireless positioning accuracy under NLOS conditions.

Wearable beacons and fixed detectors track worker location and condition in real time, enabling faster accident alerts and productivity analysis.

Automatic secondary point generation captures indoor RF samples between user-defined start and stop locations, reducing manual walk-test errors.

Direct discovery and response signaling lets nearby devices estimate angle and distance without unreliable network positioning.

Intermediate mobile devices relay UWB positioning across walls, combining relative positions to locate remote devices beyond direct range.

Volume-related position, size, shape, and orientation cues help 5G wireless sensing improve object detection and positioning accuracy.