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논문 기본 정보

자료유형
학술저널
저자정보
Homayun Kabir (University of Malaya) Jeevan Kanesan (University of Malaya) Ahmed Wasif Reza (University of Malaya) Harikrishnan Ramiah (University of Malaya) Kaharudin Dimyati (National Defence University of Malaysia)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.6
발행연도
2015.11
수록면
2,356 - 2,363 (8page)

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초록· 키워드

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Localization of lightning strike point (LSP) in the forest is modeled to mitigate the forest fire damage. Though forest fire ignited by lightning rarely happens, its damage on the forest is grievousness. Therefore, predicting accurate location of LSP becomes crucial in order to control the forest fire. In this paper, we proposed a new hybrid localization algorithm by combining the received signal strength (RSS) and the received signal strength ratio (RSSR) to improve the accuracy by mitigating the environmental effect of lightning strike location in the forest. The proposed hybrid algorithm employs antenna theory (AT) model of cloud-to-ground (CG) return stroke lightning channel to forecast the location of the lightning strike. The obtained results show that the proposed hybrid algorithm achieves better location accuracy compared to the existing RSS method for predicting the lightning strike location considering additive white Gaussian noise (AWGN) environment.

목차

Abstract
1. Introduction
2. Lightning Signal Propagation
3. Proposed Hybrid Localization Algorithm
4. Results and Discussion
5. Conclusion
References

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