Power Delay Profile Filtering Technique Using Artificial Neural Networks
| Autor: | Carlos Henrique Rodrigues Oliveira, Rogerio Moreira Lima Silva, Sandra Ferreira, Amanda Beatriz Cunha Dos Santos, Leni J. Matos, P. V. G. Castellanos, Jairon Viana Batista, Leonardo H. Gonsioroski |
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| Rok vydání: | 2020 |
| Předmět: |
Artificial neural network
Computer science 05 social sciences 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Delay spread Power (physics) Constant false alarm rate Noise Identification (information) 0508 media and communications 0202 electrical engineering electronic engineering information engineering Statistical dispersion Power delay profile Algorithm |
| Zdroj: | LATINCOM |
| Popis: | This paper presents an alternative technique for the filtering of the power delay profile in mobile radio channel using artificial neural networks for the identification and extraction of impulsive noise. The power delay profiles obtained from field measurements in the 700 MHz band, were subjected to two filtering techniques: the CFAR (Constant False Alarm Rate) filtering technique and the proposed technique using artificial neural networks. The neural technique demonstrated to be a good alternative with 91.38% of average accuracy and more satisfactory filtering than the CFAR for the identification of valid multipaths. The results show the characteristic of the ANN technique in identifying a greater number of multipaths. The results of the temporal dispersion parameters Mean Excess Delay and RMS Delay Spread achieved by the new technique presented satisfactory values when compared with the CFAR and with the values described in the ITU-R (International Union of Telecommunications) standard P.1411-9. |
| Databáze: | OpenAIRE |
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