TABLE OF CONTENTS In Chapter 3 it was shown that a variety of popular performance measures lead to optimum weight vector solutions that are all closely related. Consequently the choice of a specific performance measure usually is not a critically important issue; rather the adaptive control algorithm that is selected to adjust the array beam pattern is highly important since this choice directly influences both the speed of the array transient response and the complexity of the circuitry required to implement the algorithm. The adaptive processor is the heart of any adaptive array system since it automatically adjusts the weights to achieve the desired spatial and frequency filtering. Part Two presents a survey of different classes of popular adaptation algorithms and discusses the important performance characteristics of each class. In some cases algorithms are specifically tailored to particular signal conditions whereas in other cases algorithms can be easily modified to handle a variety of signal environments. This information on algorithm performance and applicability to different signal environments provides the designer with a means for determining those candidate algorithms that are most likely to satisfy the system requirements imposed by: (1) required speed of response, (2) operational signal environment (including any available a priori information) in which...
