Modeling of Acoustic Channel for Underwater Wireless Communication System in AUV Application

Underwater Acoustic Communication Channel Modeling using Deep Learning

“…The underwater acoustic channel was modeled using the BELL-HOP ray model in [10] in order to analyze sound propagation characteristics putting into consideration the rough nature of the sea surfaces and the bottoms for different oceanic conditions. In [25], modeling the underwater acoustic channel was derived to mathematically quantify the channel characteristics for autonomous underwater vehicle (AUV) wireless communication system. The model was derived from the AN product, SNR and Band Selection where 𝐴 is the attenuation model, 𝑁 is the ambient noise model and SNR is the signal-to-noise ratio.…”

“…This is largely due to the surge in the number of underwater activities such as the underwater surveillance by the military, underwater mining, laying of pipeline and fibre optic cables, aquatic/biological research and documentaries. About 71% of the earth is covered with water thus there is a need by marine biologists, engineers and other concerned researchers for technologies to explore the underwater environment even more [25]. Due to the increasing underwater activities, there is the crucial need for an efficient underwater communication systems.…”

“…However, owing to the physical nature of these waves, the acoustic waves perform better in the underwater environment. The demerits of electromagnetic waves are the high power consumption, large size of the antenna [25] and the inability to propagate over long distances in an underwater environment except at extremely low frequencies. Transmitting signals at such low frequencies require expensive powerful transmitter which makes the use of electromagnetic waves an expensive option [5].…”

Underwater Acoustic Communication Channel Modeling Using Reservoir Computing

“…It was also used to examine the behavior of an acoustic signal with transmission frequencies in the range of 9K to 90KHz in [19]. Channel properties for an autonomous underwater vehicle (AUV) wireless communication system were mathematically quantified by modeling the UWA channel in [3]. The model was created using the AN product, signal-tonoise ratio (SNR), and band selection, where A represents attenuation and N represents ambient noise.…”

“…Furthermore, underwater communications have benefited the maritime sector by making process management and monitoring easier and more efficient [2]. Underwater operations including undersea marine biology study, undersea mining, pipeline laying, underwater maintenance, and geological surveys have fueled the increased demand for under-water channel and environment research [3]. In general, the behavior of the channel has a significant impact on acoustic signal transmission, therefore having a deep understanding of the channel characteristics is critical for implementing an effective underwater communication system [2].…”