Title :
Sequential detection of a weak target in a hostile ocean environment
Author :
Candy, James V. ; Sullivan, Edmund J.
Author_Institution :
Lawrence Livermore Nat. Lab., CA, USA
Abstract :
When the underlying physical phenomenology (medium, sediment, bottom, etc.) is space-time varying along with corresponding nonstationary statistics characterizing noise and uncertainties, then sequential methods must be applied to capture the underlying processes. Sequential detection and estimation techniques offer distinct advantages over batch methods. A reasonable signal processing approach to solve this class of problem is to employ adaptive or parametrically adaptive signal models and noise to capture these phenomena. In this paper, we develop a sequential approach to solve the signal detection problem in a nonstationary environment.
Keywords :
geophysical signal processing; seafloor phenomena; sediments; signal detection; adaptive signal model; noise; nonstationary statistics; ocean bottom; ocean environment; ocean sediment; physical phenomenology; sequential approach; signal detection problem; signal processing; Acoustic signal detection; Detectors; Mathematical model; Oceans; Process design; Signal detection; Signal processing; Signal processing algorithms; Uncertainty; Working environment noise;
Conference_Titel :
Oceans 2005 - Europe
Conference_Location :
Brest, France
Print_ISBN :
0-7803-9103-9
DOI :
10.1109/OCEANSE.2005.1511719