Multitarget Classification and Estimation Using Clustering Techniques

Author

S. N. Balakrishnan, Missouri University of Science and TechnologyFollow
Bryon D. Tapley

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.

Recommended Citation

S. N. Balakrishnan and B. D. Tapley, "Multitarget Classification and Estimation Using Clustering Techniques," Journal of Guidance, Control, and Dynamics, American Institute of Aeronautics and Astronautics (AIAA), Jan 1990.

The definitive version is available at https://doi.org/10.2514/3.20525

Department(s)

Mechanical and Aerospace Engineering

International Standard Serial Number (ISSN)

0731-5090

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.

Publication Date

01 Jan 1990