New Method for Enhancement of Data Separability and Data Classification in Multisensor-Multitarget Tracking Problems

Author

Bryon D. Tapley
B. E. Schutz
P. A. M. Abusali
S. N. Balakrishnan, Missouri University of Science and TechnologyFollow
C. S. Ho

Abstract

A modular approach to the multisensor-multitarget problem is presented. This approach reduces the multitarget problem to several single-target problems. An algorithm based on this approach is described. The application of this algorithm to the simulated tracking of several maneuvering targets in an underwater environment and the numerical results obtained in this application are discussed. The validity of using the observation residuals in the data discrimination process and the data-target correlation is demonstrated through application.

Recommended Citation

B. D. Tapley et al., "New Method for Enhancement of Data Separability and Data Classification in Multisensor-Multitarget Tracking Problems," Proceedings of the American Control Conference (1985, Boston, MA), Institute of Electrical and Electronics Engineers (IEEE), Jan 1985.

Meeting Name

American Control Conference (1985, Boston, MA)

Department(s)

Mechanical and Aerospace Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1985 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 1985