Harnessing geometric techniques for robust real-time estimation of shallow water acoustic channels

Abstract

The shallow water acoustic channel is well-known to exhibit rapid fluctuations in delay spread, which poses a fundamental roadblock to real-time channel estimation, particularly under moderate to rough sea conditions. This talk will summarize recent research on multiple representations of the shallow water acoustic channel and present the relative merits of each channel representation in localizing different channel effects. In particular, we will examine the efficacy of employing geometric signal processing techniques to adaptively track the shallow water acoustic channel in each representation. Results based on experimental field data as well as channel simulations under varying environmental conditions will be presented.The shallow water acoustic channel is well-known to exhibit rapid fluctuations in delay spread, which poses a fundamental roadblock to real-time channel estimation, particularly under moderate to rough sea conditions. This talk will summarize recent research on multiple representations of the shallow water acoustic channel and present the relative merits of each channel representation in localizing different channel effects. In particular, we will examine the efficacy of employing geometric signal processing techniques to adaptively track the shallow water acoustic channel in each representation. Results based on experimental field data as well as channel simulations under varying environmental conditions will be presented.