Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal

In order to solve the problem of large signal acquisition error caused by radio wave multipath effect in indoor environment, firstly, the signal source carried on the motion platform is collected for spectrum signal, and the signal processed by wavelet threshold denoising algorithms extracted and st...

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Autores principales:	Yunfei Chen, Yang Liu, Xintao Fan
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Physics QC1-999
Acceso en línea:	https://doaj.org/article/0edc0a5f8ecd46f59d6c4a5973cad74c
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id	oai:doaj.org-article:0edc0a5f8ecd46f59d6c4a5973cad74c
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spelling	oai:doaj.org-article:0edc0a5f8ecd46f59d6c4a5973cad74c2021-11-29T00:56:01ZResearch on Spectrum Feature Identification of Indoor Multimodal Communication Signal1687-913910.1155/2021/7913666https://doaj.org/article/0edc0a5f8ecd46f59d6c4a5973cad74c2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7913666https://doaj.org/toc/1687-9139In order to solve the problem of large signal acquisition error caused by radio wave multipath effect in indoor environment, firstly, the signal source carried on the motion platform is collected for spectrum signal, and the signal processed by wavelet threshold denoising algorithms extracted and stored for spectrum feature extraction. Then, after data training and identification, the signal source is input into the system in random mode for identification. The experimental results show that the improved fuzzy clustering algorithm (FCA) is 12.7% higher than the spectrum envelope extraction method (SEEM) in the recognition rate of spectrum characteristics of different modes of signal source.Yunfei ChenYang LiuXintao FanHindawi LimitedarticlePhysicsQC1-999ENAdvances in Mathematical Physics, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999
spellingShingle	Physics QC1-999 Yunfei Chen Yang Liu Xintao Fan Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal
description	In order to solve the problem of large signal acquisition error caused by radio wave multipath effect in indoor environment, firstly, the signal source carried on the motion platform is collected for spectrum signal, and the signal processed by wavelet threshold denoising algorithms extracted and stored for spectrum feature extraction. Then, after data training and identification, the signal source is input into the system in random mode for identification. The experimental results show that the improved fuzzy clustering algorithm (FCA) is 12.7% higher than the spectrum envelope extraction method (SEEM) in the recognition rate of spectrum characteristics of different modes of signal source.
format	article
author	Yunfei Chen Yang Liu Xintao Fan
author_facet	Yunfei Chen Yang Liu Xintao Fan
author_sort	Yunfei Chen
title	Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal
title_short	Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal
title_full	Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal
title_fullStr	Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal
title_full_unstemmed	Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal
title_sort	research on spectrum feature identification of indoor multimodal communication signal
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/0edc0a5f8ecd46f59d6c4a5973cad74c
work_keys_str_mv	AT yunfeichen researchonspectrumfeatureidentificationofindoormultimodalcommunicationsignal AT yangliu researchonspectrumfeatureidentificationofindoormultimodalcommunicationsignal AT xintaofan researchonspectrumfeatureidentificationofindoormultimodalcommunicationsignal
_version_	1718407690163585024

Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal

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