Adaptive linear prediction filtering for airborne underwater acoustic signal processors

The behavior of a particular implementation of a Widrow-Hoff, or iterative adaptive version of the classical Least Mean Square Wiener Filter, is evaluated by means of tests on the Adaptive Filter in conjunction with two different airborne under-water acoustic signal processors. The ability of the adaptive mechanism to enhance spectral estimates, detection and tracking of narrow-band signals in noise is illustrated by initial test results which are presented as graphs of detection indices and photographs of airborne acoustic displays. A summary review of the adaptive filter theory is included. Certain peculiarities in the performance of the adaptive mechanism also are noted as they relate to integration of such equipment with existing airborne acoustic processors and displays.