Non-Linear Tracking in a Multi-Target Environment.
Technical rept. 1 Jun-1 Dec 73,
COLORADO STATE UNIV FORT COLLINS DEPT OF ELECTRICAL ENGINEERING
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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
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