Comparison of modeling approaches to low-frequency noise propagation in the ocean

Korakas, Alexios; Hovem, Jens M.

doi:10.1109/oceans-bergen.2013.6608079

Cited by 7 publications

(7 citation statements)

References 8 publications

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“…Preliminary results of comparisons of PlaneRay against a wavenumber integration (WI) model in a rangeindependent scenario were promising (Korakas & Hovem, 2013). The present study extends this work to include more cases of a range-dependent bathymetry and elastic seafloors.…”

Section: Introductionmentioning

confidence: 53%

Modeling Low-Frequency Anthropogenic Noise in the Oceans: A Comparison of Propagation Models

Hovem¹,

Korakas²

2014

mar technol soc j

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A B S T R A C TIncreased human activities in the marine environment in recent years have caused a significant general increase in ocean noise level, raising concerns over its impact on marine life. Anthropogenic noise in the oceans covers a wide range of frequencies down to 10 Hz and can propagate over distances up to several tens of kilometers. Many environmental factors affect the propagation conditions and make it impossible to express the propagation with a simple equation. Mathematical/ numerical modeling is required to predict and evaluate the impact of man-made noise on marine life. The study compares transmission loss versus range calculated by a wavenumber integration model, a model based on the parabolic equation (PE), and a ray-tracing model. The models are tested and compared for a number of different scenarios with fluid and elastic bottom layers in range-dependent environments. Each case is analyzed and interpreted at several frequencies from 15 to 250 Hz. The simulation results showed excellent agreement between the PE and the ray result for the transmission loss over a range of 10 km in a relative steep upslope elastic bottom environment and for frequencies down to about 25 Hz. In another test, comparisons over a 50-km upslope continental shelf scenario resulted in good agreement for the fluid bottom for frequencies above 100 Hz and poorer for 50 Hz. Over the elastic high loss boom, the two results showed the same general trend but with differences in details. Overall, the ray-tracing model appears to be an acceptable and efficient choice providing reliable predictions, even at low frequencies, in shallow water.

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Section: Introductionmentioning

confidence: 53%

Modeling Low-Frequency Anthropogenic Noise in the Oceans: A Comparison of Propagation Models

Hovem¹,

Korakas²

2014

mar technol soc j

Self Cite

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“…As the code weight doubles, the error rate also doubles. The sequence (13,17) performs well in the AWGN channel, whereas in the case of UAC channel, the sequence (10,11) with least code weight of 3 performs well then the sequence (13,17). By comparing the Tables 2, 3 and 4, it is observed that as the constraint length increases, the error rate decreases slightly from 0.05 to 0.03.…”

Section: Code Rate Of 1/2mentioning

confidence: 96%

“…The code weights for this sequence are 8 and 10 respectively. For m=3, the BER is 0.0183 for the sequence (2, 3, 12, 13) and for the sequence (13,13,15,17) it is 0.03. The error rate starts decreases as the length of memory increases.…”

Section: Code Rate Of 1/4mentioning

confidence: 99%

“…The code weights for this sequence are 4 and 8 respectively. For m = 3, the BER is 0.0284 for the sequence (10,11,14) and for the sequence (13,15,17) it is 0.05.…”

Section: Code Rate Of 1/3mentioning

confidence: 99%

“…Their corresponding lengths and time taken to reach the receiver are calculated and listed in Table 1. [17,18,19] is used. The DP does not have the reflection either at surface or bottom, only Attenuation [20] and Ambient Noise [21] are determined.…”

Section: Related Workmentioning

confidence: 99%

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Performance Analysis of Convolution Code with Variable Constraint Length in Shallow Underwater Acoustic Communication

Raghavan¹,

Suriyakala²,

Rathinasabapathy³

et al. 2019

IJCNIS

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One of the most complex environment for the data transmission is the underwater channel. It suffers frequency selective deep fading with serious multi path time delay. The channel also has limited bandwidth. In this paper, the effect of Least Code Weight-Minimum Hamming Distance (LCW-MHD) polynomial code is studied using Viterbi Decoding Algorithm for the shallow Underwater Acoustic Communication (UAC) channel. Two different channels with the range of 100 and 1000 meters are considered for simulation purpose and the channel is designed using Ray Tracing algorithm. For data and image transmission in the channel, three different code rate of 1/2, 1/3 and 1/4 are considered and corresponding Bit Error Rate (BER) are evaluated. Result showed that the BER is least for the LCG-MHD polynomial code.

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Underwater Information Sensing Method Based on Improved Dual-Coupled Duffing Oscillator Under Lévy Noise Description

Zhang

Qin

Chen

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Comparison of modeling approaches to low-frequency noise propagation in the ocean

Cited by 7 publications

References 8 publications

Modeling Low-Frequency Anthropogenic Noise in the Oceans: A Comparison of Propagation Models

Modeling Low-Frequency Anthropogenic Noise in the Oceans: A Comparison of Propagation Models

Performance Analysis of Convolution Code with Variable Constraint Length in Shallow Underwater Acoustic Communication

Underwater Information Sensing Method Based on Improved Dual-Coupled Duffing Oscillator Under Lévy Noise Description

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