Position Fixation TRIZ Cases

By measuring reference signals in the current frequency range first, this case cuts BWP switching, MG requests, latency, and power use.

Phase-difference AoA from three non-coincident 1D antenna arrays enables precise wireless device positioning without 2D array complexity.

Reliability scoring for integer ambiguities from time and carrier phase measurements improves 5G positioning accuracy under uncertainty.

When indoor signals are too weak for direct UE positioning, an auxiliary UE supplies relative-location measurements to improve accuracy.

Preconfigured UL BWPs and SRS resources let a UE switch within a time window to support accurate positioning in RRC inactive state.

Fusing satellite, UWB, IMU, video, and Bluetooth data enables reliable positioning calibration across indoor, outdoor, and urban settings.

A 2D beacon graph and probabilistic RSSI matching improve mobile proximity detection while avoiding manual BLE fingerprint recalibration.

UL SRS resource sharing lets two UEs measure relative distance and angle while avoiding extra positioning interference in 5G NR.

A single group PRACH sent in idle mode lets multiple network nodes position the user device with lower power use and less delay.

A proximity sensor triggers microphone-based user positioning, avoiding cameras to cut power use, processing load, and image leakage risk.

Correlating NIR muzzle-flash sensing with acoustic detection cuts outdoor gunshot false positives from sirens, music, and lightning.

Pre-stored zone, anchor, and communication data cuts base-station search time and radio resource use while preserving mobile positioning accuracy.

Switching between geographic and wireless detection zones cuts false alerts and preserves timely separation notifications across changing environments.

By selecting low-uncertainty reference points and guiding movement vectors, single-antenna tracking improves position accuracy without cameras.

A known-location PRU reports all reference signal measurements, including failures, to correct carrier phase errors and improve UE positioning.

Passive listener nodes capture phase offsets during channel sounding to improve NLOS distance measurement accuracy with low overhead.

Capability reporting and coordinated time-slot scheduling let UWB and Wi-Fi positioning work together with less RF interference and better indoor accuracy.

Exchanging estimated position, size, volume, orientation, and shape helps wireless sensing improve object detection and positioning accuracy.

Reliability tags such as trust status, accuracy class, and TTL help wireless devices ignore weak position data and cut signaling overhead.

Multiple NR frequencies are configured from terminal capability data to improve carrier phase ambiguity solving and positioning accuracy.

By ranking PRS transmitters by priority and reliability, the UE selects a smaller set for measurements to improve positioning speed and accuracy.

A chip-level blockchain with atomic-clock timing improves indoor asset location accuracy while authenticating IoT tracking data.

Phase-coherent DL-PRS coordination across base stations and the LMF improves UE positioning accuracy while limiting configuration overhead.

Switching between GPS and inertial navigation keeps mobile delivery tracking accurate in urban canyons, tree cover, and indoors.

Spread-spectrum audio signals and simulated pseudorange data improve device position inference while reducing real-world data collection and simulation burden.

When one device has weak GNSS reception, a linked second device shares its position to cut time to first fix and improve location accuracy.

Simulated channel impulse responses train a neural network to estimate ToA more robustly in NLOS and OLOS conditions with lower computation.

Mobile units vary radio transmission energy near stationary references to preserve battery life while maintaining accurate positioning.

Capability signaling and supporting-UE selection streamline sidelink RTT positioning while improving accuracy and managing 5G NR procedure overhead.

Combining low-band coverage with high-band beamforming and OTDOA improves emergency caller location in urban, indoor, and underground areas.

RLS-based vehicle trajectory prediction and hop-by-hop congestion feedback reduce packet loss and latency in high-mobility VNDN.

Context from GNSS, WWAN, sensors, and predicted receiver state helps block harmful API injections while preserving positioning accuracy.

A phased antenna array added to a standard router enables precise 3D wireless device tracking without costly infrastructure changes.

Combining radio identification with ultrasonic time-of-flight enables accurate short-range distance measurement with lower power use and clear unit recognition.

Whitened TDOA, FDOA, and Doppler-rate equations cut search effort and improve convergence in passive electromagnetic source localization.

Mobile reference UAVs carrying UWB beacons localize nearby drones with high indoor precision and minimal onboard sensor setup.

Aligns timestamped sample streams from multiple vehicles to improve passive signal source location accuracy with less data loss and computation.

Correlation-based TDOA and FDOA processing locates unknown radio sources without array antennas, cutting hardware complexity and ambiguity.

Fusing terrain, semantic cartography, and emitter proximity data narrows likely transmitter zones to improve localization accuracy and search efficiency.

Iterative correlation search aligns time, frequency, and Doppler offsets across vehicle datasets to locate signal sources faster and with less computing power.

Periodic UWB synchronization and two-way ranging improve indoor positioning accuracy while reducing anchor count, crosstalk, and power use.

Predicting trajectory and satellite visibility with maps, camera, and inertial data improves urban GNSS accuracy while cutting processing load and power use.

Identifier-based packet screening and time ordering keep UWB base station data synchronized, reducing loss and improving coordinate accuracy.

Estimated altitude is validated against area elevation thresholds to calibrate mobile pressure sensors and improve location accuracy.

Fusing sensing observations with reference signals links UE identity to a position hypothesis, improving robust positioning despite synchronization limits.

PRS-driven backscatter positioning separates RFID tag responses with unique configurations to improve RTT accuracy while reducing network interference.

Weighted sample- and phase-based time-of-arrival estimates improve ranging accuracy under multipath fading and hardware amplitude variation.

Combining 2D and 3D angle-based position estimates cuts terminal positioning error in non-cubic areas through weighted aggregation.

RF sensing with UHF RFID and SAR lets an AR headset locate and verify occluded items in cluttered industrial spaces.

Small-form-factor sensors use Wi-Fi and Bluetooth trilateration to map target devices in 3D without outdated crowdsourced data or servers.