Application of a Correlation Discriminant Operator to Perturbational Adaptive Algorithms.

摘要

A primary objective of this study was to develop and apply a newly conceived, generalized technique for adaptive array reference function generation to a large class of systems having no null steering AJ protection. Because the reference function generation technique, referred to here as a correlation discriminant operator or signal recognizer, does not depend upon filtering unwanted noise, it can be orders of magnitude faster than conventional reference function generation approaches. Thus a correlation discriminant operator facilitates the realization of a fast adaptive signal-to-noise ratio maximizing algorithm even in the case of narrowband desired signals having narrowband a priori discriminants. In addition, the correlation discriminant operator enables an algorithm to achieve optimum expected value adaptation transients and steady-state solutions.