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The robust wind wave growth functions established with ideal fetch-limited and quasi-steady wind conditions (e.g., [11–13]; and references therein) have been observed to be applicable to wind generated waves under considerably more varying conditions, including hurricanes [1, 3, 4, 14, 15] and rapidly accelerating and decelerating wind fields such as those encountered in mountain gap winds [16–19].
This paper proposes a distributed acoustic passive localization method using WSN. First, head nodes compute the azimuth angle and pitch angle based on the time delay of arrival (TDOA) from each participating WSN nodes in clusters. Second, the location of acoustic source is calculated from the angles measured above and geometry positions of the two clusters. Then the accuracy of localization estimation...
Target localization is a motivating application for wireless sensor networks (WSN). Compared to a centralized system for acoustic source localization, a distributed system has many advantages in terms of power consumption, response time and accuracy. This paper proposes a distributed acoustic passive localization method, which can provide adequate precision localization estimation with low computational...
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