Single-Site Detection and Target Parameter Estimation,
MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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Detection theory problems are characterized by the fact that one must decide which of several alternatives are true. For example, if there are two alternatives, if a target is there or not, the problem is a binary detection problem. In estimation theory problems, which very closely parallel those of detection theory, one must estimate parameters of a signal or situation. For example, one type of signal estimator or receiver estimates values of a continuous parameter. It will rarely compute the exact signal, but attempts to be close most of the time. The problems in which detection and estimation theory are utilized can be categorized into three levels or a hierarchy. Level 1 problems include detecting and estimating known signals in noise level 2, signals with unknown parameters in noise and level 3, random signals in noise.