Title

Multitarget Classification and Estimation Using Clustering Techniques

Abstract

A modular approach to solving the multisensor-multitarget problem in space is presented. This approach combines the clustering techniques developed in the field of pattern recognition with the filtering techniques developed to estimate the states of several targets in space. Results from the clustering analysis are presented, and their relevance to the identification of targets and data fusion are described using two scenarios having multiple targets and using orbiting platforms as sensors. The estimation error histories of positions and velocities are also given.

Department(s)

Mechanical and Aerospace Engineering

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1990 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.


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