Accession Number : ADA292253
Title : MATSurv Multisensor Air Traffic Surveillance.
Descriptive Note : Final rept. May 93-Aug 94,
Corporate Author : CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL AND SYSTEMS ENGINEERING
Personal Author(s) : Yeddanapudi, Murali ; Bar-Shalom, Yaakov ; Pattipati, Krishna R. ; Kirubarajan, T. ; Deb, Somnath
PDF Url : ADA292253
Report Date : JAN 1995
Pagination or Media Count : 40
Abstract : In this report, the results of the work on multisensor air traffic surveillance anti description of MATSurv, a software tool for tracking multiple targets using measurements from asynchronous sensors, are presented.The work addresses the issues of modeling the target motion, estimating target states, and determining a consistent set of measurement-target associations. The specific objectives of this work are to formulate and solve the data association problem for actual tracking scenarios with multiple, multimodality sensor subsystems. Two phases of the work are described, namely, the tuning phase whereby the measurements are associated with the appropriate targets using the known target IDs to tune and validate the tracking filter, and the assignment phase whereby the association is carried out using a two-dimensional assignment algorithm developed at UConn. Also, the performance of the tracking and assignment algorithms using three representative sets of measurements is illustrated.
Descriptors : *COMPUTER PROGRAMS, *AIR TRAFFIC CONTROL SYSTEMS, *INTERACTIVE GRAPHICS, *MULTISENSORS, ALGORITHMS, SCENARIOS, MEASUREMENT, DETECTORS, ASYNCHRONOUS SYSTEMS, TWO DIMENSIONAL, AIRBORNE, MOVING TARGETS, MULTIPLE TARGETS, TRACKING, WINDOWS, TUNING, ALLOCATIONS, DATA FUSION, FILTERS, SURVEILLANCE.
Subject Categories : Computer Programming and Software
Air Navigation and Guidance
Distribution Statement : APPROVED FOR PUBLIC RELEASE