Underwater Acoustic Signal Processing: Modeling, Detection, and Estimation

This book covers the detection and processing of signals in underwater acoustics, including active and passive sonar systems, underwater acoustics, and statistical signal processing. It is a valuable resource for graduate students, researchers, and practitioners.

\n Format: Hardback
\n Length: 834 pages
\n Publication date: 01 March 2019
\n Publisher: Springer International Publishing AG
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This comprehensive book delves into the intricate realm of detecting and processing signals in underwater acoustics, offering a wealth of knowledge and insights for graduate students, researchers, and active practitioners alike. Providing a solid foundation in active and passive sonar systems, underwater acoustics, and statistical signal processing, the book stands as a self-contained and invaluable resource.

The scope of signal detection encompasses a diverse range of common signal types, including signals of known form such as active sonar or communications signals, signals of unknown form, including passive sonar and narrowband signals, and transient signals such as marine mammal vocalizations. This text, in conjunction with its companion volume on beamforming, presents a thorough and in-depth exploration of underwater acoustic signal processing, reflecting the authors' extensive expertise in the field.

The book begins by introducing the fundamental principles of underwater acoustics, including sound propagation, scattering, and absorption. It then delves into the various detection techniques, such as active sonar, passive sonar, and hydroacoustic monitoring. Each technique is discussed in detail, with an emphasis on its applications, limitations, and potential for future research.

The subsequent chapters explore the processing of underwater acoustic signals, covering topics such as signal separation, feature extraction, and classification. The authors employ advanced signal processing algorithms, including time-frequency analysis, wavelet transform, and machine learning, to analyze and interpret underwater acoustic data. Case studies and real-world examples are provided throughout the book to illustrate the practical applications of these techniques.

Furthermore, the book addresses the challenges and limitations of underwater acoustic signal processing, including noise pollution, signal interference, and underwater environment complexity. The authors propose solutions and strategies to mitigate these challenges, enabling the development of more robust and reliable underwater acoustic systems.

In conclusion, this book serves as a valuable resource for anyone interested in underwater acoustics, providing a comprehensive and up-to-date treatment of signal detection and processing. With its extensive coverage, practical examples, and insightful discussions, it equips readers with the knowledge and tools necessary to advance their understanding and applications in this field.

\n Weight: 1418g\n
Dimension: 167 x 242 x 52 (mm)\n
ISBN-13: 9783319929811\n
Edition number: 1st ed. 2019\n