Abstract
Adaptive arrays are used in many underwater sound applications. Although there are algorithms available for updating the adaptive weight vector, most of them are obtained by considering the heuristics of a given application. In this work, an algorithm derived from a formal optimization procedure is presented. The algorithm is a recursive realization of a Bayes estimate for the weighting vector, and is in this sense optimal. Initialization of the algorithm, governed by prior knowledge of the problem, is also shown. Performance for selected situations is obtained by computer simulation, and the behavior of the algorithm as a function of several adjustable parameters is discussed in detail. [Sponsored by ONR Code 411SP.]
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call