1979
DOI: 10.1190/1.1440948
|View full text |Cite
|
Sign up to set email alerts
|

Studies on the interaction of low‐frequency acoustic signals with the ocean bottom

Abstract: Understanding the mechanisms by which the ocean sediment redirects impinging sound back into the ocean is necessary in developing propagation models for sonar performance prediction. The Naval Underwater Systems Center (NUSC) has (1) conducted controlled, self‐calibrating acoustic measurements where the ocean bottom interacted signal is isolated in time for analysis, (2) developed deconvolution processing techniques to aid in describing the impulse response of the ocean sediment, and (3) performed modeling to … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
2
0

Year Published

1980
1980
2001
2001

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(3 citation statements)
references
References 5 publications
1
2
0
Order By: Relevance
“…The BRL values obtained for several frequency bands are shown in Figure 15. Bottom reflection loss is a well known quantity in the literature and our BRL results are similar to results found in other deep ocean sites (e.g., Santaniello et al, 1979;Mitchell et al, 1980;Chapman, 1983). Bottom transmission loss (BTL) was computed in a way similar to BRL above using the same symbols, terms and conditions (with the addition that both TV and M must be greater than one) in the following expression, BTL(Δf,g,N) = 10 × log 10 ((NWW(Δf,g)…”
Section: Signal-to-noise Comparisons and Propagation Loss Analysissupporting
confidence: 80%
“…The BRL values obtained for several frequency bands are shown in Figure 15. Bottom reflection loss is a well known quantity in the literature and our BRL results are similar to results found in other deep ocean sites (e.g., Santaniello et al, 1979;Mitchell et al, 1980;Chapman, 1983). Bottom transmission loss (BTL) was computed in a way similar to BRL above using the same symbols, terms and conditions (with the addition that both TV and M must be greater than one) in the following expression, BTL(Δf,g,N) = 10 × log 10 ((NWW(Δf,g)…”
Section: Signal-to-noise Comparisons and Propagation Loss Analysissupporting
confidence: 80%
“…Dicus [28] measured bottom impulse responses for a gradient bottom and demonstrated precise quantitative modeling of the impulse responses and associated bottom-loss functions. Santaniello et al [29] discussed the focusing of sound rays in a gradient bottom, the contribution of lateral (head) waves, and the effect of different measurement geometries in connection with bottom-loss data that showed significant negative losses over a restricted grazing angle range. Stickler [30,31] pointed out the inadequacy of analyzing data with the assumption of incident plane waves, and showed numerical examples of the shift in apparent critical angle and occurrence of negative losses associated with different measurement geometries.…”
Section: Introductionmentioning
confidence: 99%
“…Stickler [4) and Santaniello et al [5) demonstrated that the simple interpretation technique will give wrong reflection coefficients when the bottom is upward refracting or has deeper, reflecting interfaces, because of the interference between the different arrivals. Non-physical effects like negative bottom loss and source/receiver position-dependent results arise.…”
mentioning
confidence: 98%