Fast Wavelet Transform Algorithms for Sonar Signal Analysis

Langford B. White

Research output: Contribution to journalArticlepeer-review

Abstract

In active sonar, received echoes are composed of multiple replicas of transmitted sonar signal with time delays and attenuations through multipath. In non-stationary scenarios, different multipath also exhibits different scaling. This phenomenon provides a way to explicitly resolve the multipath components given the availability of a rational orthogonal wavelet (ROW) analysis framework. This paper establishes the ground work of a wavelet-based multipath resolving structure by tackling the fast wavelet transform (FWT) filter bank (FB) design for ROWs. A review of different FWT algorithms in terms of scaling, translation and computational complexity is presented. The proposed FWT FB design for ROWs enables practical applications of the multipath/Doppler resolving structure in both active and passive sonar signal analysis. A simplified model for active sonar signal multipath resolving is presented to demonstrate the multipath resolving mechanism.
Original languageEnglish
Pages (from-to)183-189
JournalInternational Journal of Signal Processing Systems
Volume1
Issue number2
Publication statusPublished - Dec 2013

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