Abstract
Current theories for wave propagation in random media can predict fluctuations for narrow-band (single-frequency) signals, but do not explicitly address wideband signals. Recent ocean acoustic tomography experiments, however, have employed wideband ‘‘m-sequence’’ signals. Processing here assumes a periodic signal, and hence, involves a unique set of Fourier series components. A technique is presented for decomposing such wideband signals into their Fourier components and then analyzing the space–time fluctuations of these ‘‘narrow-band’’ components. The technique is applied to AST96 data transmitted over 150-km and 1-Mm paths for single-point and two-point (temporal separation) statistics. [Work support by ONR.]
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