Application of adaptive linear predictor structures to the prewhitening of acoustic reverberation data

The application of adaptive linear predictor structures to the prewhitening of acoustic reverberation data is discussed. The results of processing experimental ocean reverberation data constitutes the bulk of the material. In specific, a comparison between three adaptive linear predictor structures is made: (1) complex gradient transversal filter (CLMS), (2) complex gradient lattice (CGL), and (3) complex least-squares-lattice (CLSL). Figures include: (1) input range-Doppler map (conventional), (2) input range-Doppler map (inverse of the spectrum of the prewhitening filter), and (3) output range-Doppler map (conventional). Trade-offs between the three adaptive structures are illustrated as a function of their respective adaptation rate parameters.