2020
DOI: 10.36227/techrxiv.11958852
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Channel Modeling for Underwater Acoustic Network Simulation

Abstract: This manuscript was submitted to IEEE Access on 12 Jun 2020.<div><br></div><div>Abstract:</div><div><br></div><div>Simulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key feature of a credible network simulation model is a realistic channel model. A common approach to simulating realistic underwater acoustic (UWA) channels is by using specialised beam tracing software such as BEL… Show more

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Cited by 4 publications
(5 citation statements)
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References 55 publications
(75 reference statements)
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“…Both arrival rates are assumed to be same for each hop. Typically, the underwater acoustic channel is quasi-static [32,33]. This means that the fading coefficient, q k u,l , and the delay, τ k u,l , remain the same during one transmission burst, but then may change between bursts.…”
Section: Underwater Channel Modelmentioning
confidence: 99%
“…Both arrival rates are assumed to be same for each hop. Typically, the underwater acoustic channel is quasi-static [32,33]. This means that the fading coefficient, q k u,l , and the delay, τ k u,l , remain the same during one transmission burst, but then may change between bursts.…”
Section: Underwater Channel Modelmentioning
confidence: 99%
“…Ambient underwater noise affecting water acoustics can be categorized according to the frequency range in which their effects are most prominent. Based on the works [39] and [43], a generic ambient (but not site-specific) noise model can be approximated from the common sources of noise using Gaussian statistics and a continuous power spectral density (PSD). These noise sources are described as follows [44]:…”
Section: E Acoustic Noise Modelmentioning
confidence: 99%
“…Figure 4 shows how the spatial distribution of the UWA channel quality may vary, depending on the SSP and the location of the source in the water column. The contour plots show the Signal-to-Noise Ratio (SNR) computed using the channel modelling framework described in [28] based on BELLHOP beam tracing [29] with randomly generated surface waves and the January and July SSPs from Figure 3b. The outputs of BELLHOP were post-processed using a 24 kHz centre frequency and 7.2 kHz bandwidth, i.e., representative of typical wideband UWA transmissions [30], by integrating the absorption loss for every traced multipath component across the whole frequency band to yield the wideband received signal power (see [28]).…”
Section: Underwater Acoustic Propagationmentioning
confidence: 99%
“…The contour plots show the Signal-to-Noise Ratio (SNR) computed using the channel modelling framework described in [28] based on BELLHOP beam tracing [29] with randomly generated surface waves and the January and July SSPs from Figure 3b. The outputs of BELLHOP were post-processed using a 24 kHz centre frequency and 7.2 kHz bandwidth, i.e., representative of typical wideband UWA transmissions [30], by integrating the absorption loss for every traced multipath component across the whole frequency band to yield the wideband received signal power (see [28]). The SNR values were computed by dividing the wideband received signal power by the noise power calculated using the ambient UWA noise model in [31], assuming 10 m/s wind speed, 0.5 shipping activity factor, 24 kHz centre frequency and 7.2 kHz bandwidth.…”
Section: Underwater Acoustic Propagationmentioning
confidence: 99%