Algorithms for Sensor Fusion, Decentralized Bayesian Hypothesis Testing withFeedback. Volume 1

摘要

Classical signal detection involved centralized signal processing. A singlesensor 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.