A data management system encodes configuration parameters and measures signal strength to predict network performance across diverse vendor tools.
Multiple-antenna nodes analyze direction-finding signals to detect location relationship changes, resolving GNSS obstruction errors in urban environments.
Ground transmitters determine relative positions using wideband code modulation ranging signals with chipping rates exceeding 30 MHz.
A hierarchical target selection module processes object detection signals to identify primary targets for vehicle countermeasures.
A mobile subscriber estimates position by combining satellite and terrestrial base station signal time of arrival data.
A station operation mode control system determines active or idle states by comparing measured distance against a threshold.
A 2D web trilateration system locates devices using satellite server latency.
Automated effects system tracks mobile target position using wireless tags and stationary receivers to generate real-time control data.
Processor fuses TCAS and IRU data streams to reduce azimuth RMS error below 1 degree.
Dynamic compensation adjusts signal strength measurements via accelerometer and compass feedback to reduce location error caused by noise and fading effects.
A server calculates motion vectors to predict mobile station locations within a wireless network.
A femtocell calibration method calculates reference time differences from unsynchronized macrocell signals, resolving location errors of up to 500 meters.
Mobile device senses environmental parameters to build a correlation matrix, resolving limited GPS accessibility in urban areas.
A decentralized geolocation method locates communicating objects by calculating the intersection of distance-based orbits among reference nodes.
A hybrid navigation system merges Global Positioning System data with Theater Positioning System signals to maintain continuous positioning capability.
Ground station triangulation calculates aircraft position to eliminate GPS jamming vulnerability.
Multiple receiver groups and transmitter tags enable accurate position estimation despite signal blockage and multipath reflections.
A mobile device location component combines inertial navigation with periodic reference fixes to determine position.
Segmented radio maps store only data for areas lacking satellite signals, enabling mobile devices to perform offline positioning without downloading unnecessary coverage.
Distributed monitoring units calculate object location via signal transmission duration, overcoming satellite signal loss in outdoor environments.
A compact microwave imaging receiver architecture uses SPDT switches and phase splitters for balanced signal processing.
A mobile node traverses predetermined paths to collect signal measurements, resolving distance estimation inaccuracies caused by environmental factors.