Title :
Application of the unifying approach to multiple target tracking
Author_Institution :
Dept. of Electr. Eng., Texas Tech Univ., Lubbock, TX, USA
Abstract :
An algorithm for solving multiple maneuvering target tracking problems using a global modeling approach is presented. A simulation structure for three-dimensional tracking situations is given. Once radar measurement data are received, the a posteriori probability which is referred to as a weighting factor is calculated using an adaptive filter for each hypothesis. Computer simulation results indicate that the multiple maneuvering targets can be tracked successfully
Keywords :
Kalman filters; adaptive filters; matrix algebra; probability; radar applications; tracking; 3D-tracking; Kalman filters; adaptive filter; multiple maneuvering target tracking; probability; radar measurement; Azimuth; Computational modeling; Coordinate measuring machines; Covariance matrix; Gain measurement; Mathematical model; Noise measurement; Radar measurements; Radar tracking; Target tracking;
Conference_Titel :
Radar Conference, 1990., Record of the IEEE 1990 International
Conference_Location :
Arlington, VA
DOI :
10.1109/RADAR.1990.201098
