Adaptive Processing for Antenna Arrays
Final rept. Mar 1971-Mar 1972
RADIATION MELBOURNE FL
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The report reviews the background of adaptive arrays and formulates the basic structure of the array and environment under consideration. Appropriate performance criteria and the derivation of the associated optimal solutions are presented. For very narrowband problems it is shown that the solutions differ only by a scalar gain, and thus have the same output signal-to- noise ratios. Iterative-adaptive computation procedures are then presented, from which it is obvious that a stochastic approximation-steepest gradient algorithm is best suited for real-time arrays. Within the context of this background, the adaptive algorithms which have been presented previously are discussed and compared. From this analysis it is obvious that the most promising algorithms are essentially equivalent. The behavior of the basic LMS type algorithm is analyzed, primarily by the solution of the associated differential equations.
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