![]() ![]() Experimental results show that the warping technique can considerably lessen the localization error, especially when prior knowledge about the source signal and waveguide are available. ![]() The accuracy of the localization system is examined with various sounds, including impulsive signal, sounds with known Fourier transform, and signals with estimated source phase. We used Peker is model for the aforementioned situation to localize both synthetic and real underwater acoustic signals. Propagation model of low-frequency signals, such as dolphin sound, is well-studied in shallow water environment (depth D1 km), modal dispersion is utterly visible at time frequency (TF) domain. To make the modes more distinguishable, a non-linear signal processing technique, called warping, is utilized. It is shown that the larger the range is, the more separable the modes are. This system takes modal dispersion into consideration and estimates the distance between sound source and receiver (range) based on dispersion curves. ![]() To tackle this problem, we use a single-hydrophone localization system which relies on acoustic signal processing methods rather than multiple hydrophones. Signal analysis revolves around three principal tasks: signal enhance ment, signal separation and analysis. As a sub-category of signal processing, AASP specifically deals with the analysis, processing and synthesis of sound that has been either recorded by one or more microphones or artificially generated by, for example, a computer. The signal processing is carried out in the time domain, frequency domain, time-fre quency domain and possibly other domains such as the non-linear phase space. However, installing and synchronizing several hydrophones over a large area is costly and challenging. underwater acoustic signal processing Tao Lu et al-Research on the Fault Feature Extraction of Rolling Bearings Based on SGMD-CS and the AdaBoost Framework Hui Li et al-This content was downloaded from IP address 40.77.167. When you first hear about Audio and Acoustic Signal Processing (AASP) it’s likely you don’t think of the movies, music and modern smartphones that it gives life to. Previous efforts adopt synchronized arrays of sensors to extract some features like direction of arrival (DOA) or time of flight (TOF) from the received signal. Acoustic localization plays a pivotal role in underwater vehicle systems and marine mammal detection. ![]()
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