Evolutionary Optimization Algorithms for Sunlight-Based Positioning Sensor Networks

Pardeiro, Jose; Gómez, Javier V.; Brunete, Alberto; Sandnes, Frode Eika

doi:10.1155/2014/564072

Cited by 1 publication

(1 citation statement)

References 23 publications

(22 reference statements)

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“…[3][4][5][6] In general, the source and receiver positions can be determined using a global positioning system (GPS). [6][7][8] Through the 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 And 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.…”

Section: Introductionmentioning

confidence: 99%

Robust localization using geographic information in bistatic sonar

Lee¹,

Jeong

Kim

et al. 2017

International Journal of Distributed Sensor Networks

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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.

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