Accession Number : AD0775875

Title :   Non-Linear Tracking in a Multi-Target Environment.

Descriptive Note : Technical rept. 1 Jun-1 Dec 73,

Corporate Author : COLORADO STATE UNIV FORT COLLINS DEPT OF ELECTRICAL ENGINEERING

Personal Author(s) : LaGrotta,Joseph M. ; Alspach,Daniel L. ; Scharf,Louis L.

Report Date : 26 FEB 1974

Pagination or Media Count : 43

Abstract : The combined problems of estimation, tracking, and prediction in a multi-target, multi-sensor environment are considered in the thesis. Using the previously devleoped Gaussian Sums approach to filtering, an inherently parallel algorithm is developed which provides information on target type and trajectory, as well as predictions of impact point. The algorithm, due to its parallel nature, shows great promise for real-time analysis of data from numerous sensors and targets. (Modified author abstract)

Descriptors :   *Radar tracking, *Control theory, Kalman filtering, White noise, Stochastic processes, Signal to noise ratio, Probability density functions, Signal processing, Theses

Subject Categories : Statistics and Probability
      Active & Passive Radar Detection & Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE