Accession Number:

ADA254633

Title:

ALGORITHMS FOR SENSOR FUSION, Decentralized Bayesian Hypothesis Testing with Feedback. Volume 1

Descriptive Note:

Final rept. Oct 1990-May 1991

Corporate Author:

KAMAN SCIENCES CORP COLORADO SPRINGS CO

Report Date:

1991-12-01

Pagination or Media Count:

152.0

Abstract:

Classical signal detection involved centralized signal processing. A single sensor was employed for making observations which were processed centrally. The need for increased reliability and survivability of communication systems has led to the deployment of multiple sensors for signal detection. Various types of sensors are utilized to observe the environment. The collected data is sent to a central processor where classical hypothesis testing procedures are employed for signal processing.

Subject Categories:

  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE