MULTICHANNEL DETECTION OF KNOWN SIGNALS IN NOISE OF UNCERTAIN LEVEL.
This work is an extension of the work of Spooner to a multichannel model. The distribution of a Bayes likelihood ratio is computed, and the resulting detection performance analyzed. The problem is to detect one of two known multichannel signals in noise of uncertain level. It is assumed that there are T sampled inputs from each of S sensors.