Recent Advances in Underwater Signal Processing

doi:10.3390/books978-3-0365-8135-4

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https://mdpi.com/books/pdfview/book/7589

Contributor(s)

Sun, Haixin (editor)

Zhang, Xuebo (editor)

Language

English

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Abstract

Seventy-one percent of the Earth is covered by oceans, which plays an important role in human life (ecological regulation, living resources, mineral resources, etc.). Underwater equipment including sonar and radar can help us to better understand the ocean. Using these technologies, topography, underwater communication, target detection, localization, imaging, and ocean monitoring can be easily carried out. Signal processing and electronics techniques have achieved great progress in recent years. Thanks to these developments, the novel theories, mechanisms, and processing techniques of underwater equipment have also been pushed into a new era. This Special Issue aims to highlight recent advancements, developments, and applications in underwater signal processing methodologies including characterization, simulation, real data processing, as well as applications to underwater engineering. In general, any contributions related to underwater signal processing or ocean signal processing will be considered.

URI

https://directory.doabooks.org/handle/20.500.12854/112474

Keywords

ship-radiated noise; variational mode decomposition; weighted permutation entropy; local tangent space alignment; AIS; ship trajectory; data analysis; system design; trajectory classification; atomic interference gravimeter; active vibration isolation; vibration compensation; vibration noise; gravity measurement; sonar signal detection; hidden Markov model; genetic algorithm; underwater acoustic communication; channel characteristics; spatiotemporal fluctuation; underwater acoustic communications; ultrasonic frequencies; fading channels; broadband channel measurements; channel estimation; sounding signals; OFDM; MIMO; filter bank; Doppler spread; sonobuoy; autoencoder; denoising; signal transmission and reception; modulation and demodulation; void avoiding; opportunistic routing (OR); underwater wireless sensor networks (UWSNs); void area; routing; active sonar; track-before-detect; knowledge-aided; particle filter; non-parametric kernel density estimation; deep learning; signal synthesis; Tacotron; magnetometers; underwater sensing; particle swarm optimization; image enhancement; underwater images; instance normalization; n/a