Abstract
This article proposes a robust localization algorithm by improving the accuracy of the source position, receiver position, and sound speed using the known position of an object in the sea. The accuracy of those three types of information greatly influences the performance of the target localization in bistatic sonar. Although the locations of the source and receiver can be obtained using the global positioning system, there are still some position errors due to the limitations of global positioning system–based positioning systems and tidal current. In addition, the speed of the sound in the sea changes with temperature. The target estimation error was analyzed mathematically in terms of the mentioned errors. An improved localization is proposed using the accurate positions of objects in the sea, which can compensate for the errors in the source position, receiver position, and sound speed. The proposed algorithm is compared with the conventional algorithm through computer simulations.
Highlights
Sonar systems can be classified into two systems, passive and active, based on the existence of sound sources
Bistatic and multistatic sonar systems use a spatially separated sound source and receiver, which have an advantage of hiding the receiver position
Through the global positioning system (GPS), the source and receiver positions are known but GPS has the errors due to multipaths, interference in ionosphere and troposphere, and so on.[2]. Their positions vary with the tidal current as the GPSs are fixed by buoys, and the underwater sensor units are hanged from the buoys by long tethers
Summary
Sonar systems can be classified into two systems, passive and active, based on the existence of sound sources. The impacts of the errors in the source position, receiver position, and the sound velocity are analyzed mathematically in bistatic sonar systems to the target localization. An accurate target localization algorithm is proposed by improving the accuracy of the source location, receiver location, and the sound velocity using the known position of an object in the sea.
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More From: International Journal of Distributed Sensor Networks
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