Cross-Correlation Wavelet-Domain-Based Particle Swarm Optimization for Lightning Mapping
| Autor: | Ahmed Aljanad, Mohd Riduan Ahmad, Ammar Ahmed Alkahtani, Ammar Alammari, Fuad Noman, Zen Kawasaki |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
Computer science QH301-705.5 interferometer QC1-999 Wavelet Sliding window protocol General Materials Science wavelet cross-correlation Biology (General) Representation (mathematics) Instrumentation QD1-999 Fluid Flow and Transfer Processes Cross-correlation particle swarm optimization Process Chemistry and Technology Physics General Engineering Particle swarm optimization Engineering (General). Civil engineering (General) Lightning Computer Science Applications Lightning strike Chemistry Trajectory lightning mapping TA1-2040 Algorithm |
| Zdroj: | Applied Sciences, Vol 11, Iss 8634, p 8634 (2021) Applied Sciences Volume 11 Issue 18 |
| ISSN: | 2076-3417 |
| Popis: | Several processing methods have been proposed for estimating the real pattern of the temporal location and spatial map of the lightning strikes. However, due to the complexity of lightning signals, providing accurate lightning maps estimation remains a challenging task. This paper presents a cross-correlation wavelet-domain-based particle swarm optimization (CCWD-PSO) technique for an accurate and robust representation of lightning mapping. The CCWD method provides an initial estimate of the lightning map, while the PSO attempts to optimize the trajectory of the lightning map by finding the optimal sliding window of the cross-correlation. The technique was further enhanced through the introduction of a novel lightning event extraction method that enables faster processing of the lightning mapping. The CCWD-PSO method was validated and verified using three narrow bipolar events (NBEs) flashes. The observed results demonstrate that this technique offers high accuracy in representing the real lightning mapping with low estimation errors. |
| Databáze: | OpenAIRE |
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