Position Fixation TRIZ Cases

A beacon detector and mapping server use grid fingerprints to update only changed areas while preserving indoor wayfinding accuracy.

This case uses targeted capability and location exchange to select an anchor UE while limiting positioning overhead and delay.

Overlapping preferred resource sets support reliable sidelink PRS selection.

Fixed and mobile base stations combine radio measurements over time to locate terminals more precisely in large, sparse areas.

This case places a Local LMF in NG-RAN nodes to reduce multi-hop signaling and processing delay in 5G positioning.

Distributed fence-pole devices enable GNSS-free indoor geofence detection.

This case transforms spreading code chips with a shared function to block early detect late commit attacks while preserving coding gain.

Preconfigured sidelink PRS resources and TOF displacement vectors enable precise distance measurement for low-latency V2X communication.

On-demand SIB positioning assistance helps low-complexity terminals reduce power use while operating in idle or inactive modes.

Virtual source timing filters unwanted sensor recordings, reducing computation while improving audio signature recognition in noise.

This case coordinates PRS transmissions and accounts for propagation and processing delays to improve UE TDOA positioning accuracy.

This case uses a first UE as an anchor to share location, proximity, and reference signals for joint network and UE ranging.

The UWB device selects active DL-TDoA rounds from location and motion data to reduce power use without losing localization accuracy.

Compare measured and predicted radio conditions to detect false drone locations.

Moving-average PSD smoothing, cross-correlation, and ionosphere compensation support accurate 3D EMI geolocation from one satellite.

A positioning engine caches failed confidence checks to detect faulty locator devices and improve position accuracy.

Bluetooth or sidelink exchanges let onboard UEs aggregate positioning data and support accurate airplane location after radio silence.

This case uses downlink positioning signals and reference measurements to overcome lost carrier cycles and improve 5G NR accuracy.

Measurement configurations reference positioning signals for AI/ML models, correcting device drift in NLOS and low-SINR environments.

Direct discovery and response signals combine AoA and propagation delay to enable infrastructure-free device ranging.

Selective base station constellations improve positioning while reducing processing demands.

This case uses clock-drift estimates and differential measurements to localize decoys without complex external security infrastructure.

Periodic location sampling and boundary overlap help load geo-fence media promptly despite inconsistent device location data.

Suspend and resume positioning measurements around handovers to prevent failures.

This case fuses inertial and UWB measurements with a velocity-based correction for motion and radio measurement delays.

Selects LMCs by positioning type to streamline 5G handovers.

The case converts UE optical sensory data into angular information for more precise positioning and wireless beam alignment.

Stored likelihood vectors and phase-based ranging help separate multipath reflections during efficient object trajectory tracking.

This case coordinates on-demand PRS in one band with periodic PRS in another to reduce signaling overhead and positioning latency.

Temporal correlation extracts carrier phases across antennas to estimate signal arrival angles without relying on GPS.

Dynamic PRS settings adapt to satellite mobility, Doppler shift, and propagation delay for accurate NTN positioning reports.

This case uses preconfigured relay links and positioning assistance to locate devices when direct network coverage is interrupted.

A receiver analyzes multipath arrival times, angles, and reflection paths to detect environmental changes in complex spaces.

The case combines located anchors, mobility awareness, candidate positions, and angle-of-arrival comparison to improve absolute positioning.

This case integrates uncertain detector locations and terrain visibility to produce more realistic carrier detection risk maps.

Channel metrics and feedback guide UE PRS configuration choices, reducing rejection risk and positioning latency in NR networks.

This case maps reserved resources for PRS measurements so wireless devices can receive downlink data without measurement gaps.

RTT and AOA measurements are fused through summed squared residuals and a CEP ellipse to stabilize wireless device positioning.

Camera-based LoS detection separates reliable signal paths, improving UE location estimates while reducing processing overhead.

Sensors and processors build topological maps from movement data, supporting home automation without active user input.

This case replaces manual dispatcher transcription with automated 911 calls, simulator routing, and SMS-based location comparison.

AI spectrogram analysis and directional beamforming detect and classify UAVs in mixed signals and limited-visibility conditions.

Distributed sensor nodes use spatial boundaries and solution compliance scoring to refine acoustic event locations indoors.

This case uses K-means clustering and statistical estimation to geolocate interference sources along a vehicle's known trajectory.

Radar and GPS data are combined through relative position vectors to track moving objects beyond radar range.

Cascading peak cancellation separates RF peaks from multiple objects and multipath distances.

This case uses timed BLE advertising and DTOA measurements to locate beacons indoors without GNSS or complex antenna arrays.

A network-configured UE measures positioning signals, evaluates model outputs, and reports validity before activation.

Channel metrics guide PRS sample counts, preserving positioning accuracy while reducing power use in low-power devices.

This case uses symbol indexes, measurement reports, and oscillator-error relationships to improve sidelink time-of-flight positioning.