Title :
Diver range estimation based on shallow water cavitation
Author :
Lohrasbipeydeh, Hannan ; Amindavar, Hamidreza
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
There are many underwater passive algorithms used to determine the range of a target like a diver, using its acoustic signals which are radiated through underwater environment. In this paper, we introduce a new underwater diver range estimation algorithm based on shallow water cavitation. Through this algorithm we apply diver´s bubble oscillation frequency and ocean surface bubble´s behaviour as two new carrier frequencies for our proposed method. Then, we utilize a dual frequency technique with the above new carrier frequencies, due to its robustness to shallow water noise, in time-frequency domain, yields to a new passive range estimation algorithm. We demonstrate through real data simulations that this algorithm is suitable for passive diver range estimation in shallow water environment. We used SWeIIEx-96 experiment data to compare our simulation result.
Keywords :
acoustic noise; acoustic signal processing; estimation theory; time-frequency analysis; SWeIIEx-96 experiment data; acoustic signals; carrier frequency; data simulations; diver bubble oscillation frequency; dual frequency technique; ocean surface bubble behaviour; passive diver range estimation; passive range estimation algorithm; shallow water cavitation; shallow water environment; shallow water noise; time-frequency domain; underwater diver range estimation algorithm; underwater passive algorithms; Acoustics; Estimation; Frequency estimation; Sea surface; Signal processing algorithms; Time frequency analysis; Diver Range Estimation; Dual Frequency; Shallow Water Cavitation;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288218