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.
A measurement system calculates differential distances and velocity using carrier signals without phase synchronization.
Stimulate wireless receivers to emit RF mixing products, resolving multipath interference and enabling powered-off device detection.
A mobile device measures satellite signal strengths to determine out-of-range status and stops futile search operations.
A remote tracking device adjusts location sampling frequency using a processor that monitors environmental conditions.
Orientation transfer and ranging enable accurate positioning in GPS-denied environments with single-node geometry.
Trusted third party converts mobile numbers to anonymous identifiers, enabling statistical analysis without invading user privacy.
Discriminating radio signals estimates bearing, reducing processing power while maintaining accuracy indoors.
Access points transmit encoded signals at varying power levels to determine device location without relying on spoofable signal strength measurements.
A GIS data transaction record integrates user, time, and location metadata into a precision grid.
A TCAS system uses a top antenna to determine bearing from reply signals while the bottom antenna handles interrogation.
An identification module detects antenna characteristics to adjust network device operation.
A position probability space uses directional vectors from a centroid to represent node location data.
Segmented coherent and non-coherent processing isolates useful target signals from direct path reflections and multipath clutter in passive radar systems.
A vehicular wireless communication apparatus transmits abridged position data when travel loci match, reducing information volume.
Extended Kalman filter estimates positional bias to correct sensor measurements, resolving GPS jamming vulnerabilities in ballistic missile defense.
A rotating sparse array of receiving elements synthesizes a large aperture to achieve high spatial resolution from geostationary orbit.
A transceiver group employs quadrature amplitude modulation with multiple carriers to transmit data streams over differential lines.
A calibration module computes correction factors from known relative transmitter positions to adjust initial location data.
A positioning algorithm constructs a discriminant function from beacon signal vectors to locate user coordinates.
A location system combines RF and IR signals for object identification.
Synthetic aperture processing achieves three-meter accuracy at fifty kilometers by resolving measurement precision versus reliability trade-offs.
A communication device transmits location signals to external base stations for vehicle tracking.
Sensor threshold filtering selects signals meeting amplitude and bandwidth criteria, reducing communication load and time difference estimate variance.
Server calculates average cell location by iteratively excluding outliers, improving accuracy for non-GPS devices.
PhaseNet embeds positioning data in wireless networks to achieve sub-meter accuracy where GPS signals face blocking and multipath distortion.