China
Africa
Explore chapters and articles related to this topic
Signal Classification Using Feature Extraction Techniques and Artificial Neural Network in Underwater Acoustic Environment
Published in Fei Hu, Magnetic Communications, 2018
Mehdi Shadloo-Jahromi, Mohammad Reza Khosravi, Habib Rostami
Sonar signal processing comprises of a large number of signal processing algorithms, implemented for achieving various sonar functions like target detection, localization, and classification. One of the important necessities and objectives of sonar is to extract the discriminant features from the acoustic received signals and expound this information precisely and clearly, without having any ambiguity to the end user. The extraction of the discriminant features and the selection of a proper classifier are considered as two important issues related to the recognition and classification of sonar signals.
Sonar Performance Models
Published in Paul C. Etter, Underwater Acoustic Modeling and Simulation, 2017
Useful overviews of sonar signal processing have been assembled by Knight et al. (1981) and Nielsen (1991). Vaccaro (1998) edited a collection of papers that reviewed past progress and future challenges in underwater acoustic signal processing. Specific applications included sonar signal processing, time-delay estimation, and underwater acoustic communications.
State Vector’s Fusion for Passive Underwater Tracking Using Two Sensor Arrays
Published in IETE Journal of Research, 2023
Kausar Jahan, S. Koteswara Rao, G. Naga Divya
A sensor is a device that receives a signal from an object (target) and measures that are functions of that signal. The path of the target is monitored through the information obtained from the sensors. Bearings-only underwater target tracking is a classical estimation issue [1,2]. When a vehicle moves underwater, it radiates noise, which is picked up by a sensor (sonar) mounted on an observer platform. The radiated noise is converted into line-of-sight measurements by the sonar signal processing unit of the observer. These line-of-sight or bearings-only measurements are used to find out the target path.