MATSurv Multisensor Air Traffic Surveillance.
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1995
- Accession Number
- ADA292253
Entities
People
- Krishna R. Pattipati
- Murali Yeddanapudi
- Somnath Deb
- T. Kirubarajan
- Yaakov Bar-Shalom
Organizations
- University of Connecticut