Modeling the Effect of Optical Signal Multipath

Here, we propose a model to determine the effect of multipath in indoor environments when the shape and characteristics of the environment are known. The main paper goal is to model the multipath signal formation to solve, as much as possible, the negative effects in light communications, as well as...
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Autor*in:	Álvaro De-La-Llana-Calvo [verfasserIn] José Luis Lázaro-Galilea [verfasserIn] Alfredo Gardel-Vicente [verfasserIn] David Rodríguez-Navarro [verfasserIn] Ignacio Bravo-Muñoz [verfasserIn] Georgios Tsirigotis [verfasserIn] Juan Iglesias-Miguel [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	infrared multipath reflection modeling impulse response indoor optical wireless indoor positioning system

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 17(2017), 9, p 2038
Übergeordnetes Werk:	volume:17 ; year:2017 ; number:9, p 2038

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s17092038

Katalog-ID:	DOAJ085508268

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650		4	\|a infrared
650		4	\|a multipath
650		4	\|a reflection modeling
650		4	\|a impulse response
650		4	\|a indoor optical wireless
650		4	\|a indoor positioning system
653		0	\|a Chemical technology
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spelling	10.3390/s17092038 doi (DE-627)DOAJ085508268 (DE-599)DOAJf00f92688a1c4a7690cc92571fda579c DE-627 ger DE-627 rakwb eng TP1-1185 Álvaro De-La-Llana-Calvo verfasserin aut Modeling the Effect of Optical Signal Multipath 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Here, we propose a model to determine the effect of multipath in indoor environments when the shape and characteristics of the environment are known. The main paper goal is to model the multipath signal formation to solve, as much as possible, the negative effects in light communications, as well as the indoor positioning errors due to this phenomenon when using optical signals. The methodology followed was: analyze the multipath phenomenon, establish a theoretical approach and propose different models to characterize the behavior of the channel, emitter and receiver. The channel impulse response and received signal strength are obtained from different proposed algorithms. We also propose steps for implementing a numerical procedure to calculate the effects of these multipaths using information that characterizes the environment, transmitter and receiver and their corresponding positions. In addition, the results of an empirical test in a controlled environment are compared with those obtained using the model, in order to validate the latter. The results may largely vary with respect to the cell size used to discretize the environment. We have concluded that a cell size whose side is 20-times smaller than the minimum distance between emitter and receiver (i.e., 10 cm × 10 cm for a 2-m distance) provides almost identical results between the empirical tests and the proposed model, with an affordable computational load. infrared multipath reflection modeling impulse response indoor optical wireless indoor positioning system Chemical technology José Luis Lázaro-Galilea verfasserin aut Alfredo Gardel-Vicente verfasserin aut David Rodríguez-Navarro verfasserin aut Ignacio Bravo-Muñoz verfasserin aut Georgios Tsirigotis verfasserin aut Juan Iglesias-Miguel verfasserin aut In Sensors MDPI AG, 2003 17(2017), 9, p 2038 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:17 year:2017 number:9, p 2038 https://doi.org/10.3390/s17092038 kostenfrei https://doaj.org/article/f00f92688a1c4a7690cc92571fda579c kostenfrei https://www.mdpi.com/1424-8220/17/9/2038 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 9, p 2038
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allfieldsGer	10.3390/s17092038 doi (DE-627)DOAJ085508268 (DE-599)DOAJf00f92688a1c4a7690cc92571fda579c DE-627 ger DE-627 rakwb eng TP1-1185 Álvaro De-La-Llana-Calvo verfasserin aut Modeling the Effect of Optical Signal Multipath 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Here, we propose a model to determine the effect of multipath in indoor environments when the shape and characteristics of the environment are known. The main paper goal is to model the multipath signal formation to solve, as much as possible, the negative effects in light communications, as well as the indoor positioning errors due to this phenomenon when using optical signals. The methodology followed was: analyze the multipath phenomenon, establish a theoretical approach and propose different models to characterize the behavior of the channel, emitter and receiver. The channel impulse response and received signal strength are obtained from different proposed algorithms. We also propose steps for implementing a numerical procedure to calculate the effects of these multipaths using information that characterizes the environment, transmitter and receiver and their corresponding positions. In addition, the results of an empirical test in a controlled environment are compared with those obtained using the model, in order to validate the latter. The results may largely vary with respect to the cell size used to discretize the environment. We have concluded that a cell size whose side is 20-times smaller than the minimum distance between emitter and receiver (i.e., 10 cm × 10 cm for a 2-m distance) provides almost identical results between the empirical tests and the proposed model, with an affordable computational load. infrared multipath reflection modeling impulse response indoor optical wireless indoor positioning system Chemical technology José Luis Lázaro-Galilea verfasserin aut Alfredo Gardel-Vicente verfasserin aut David Rodríguez-Navarro verfasserin aut Ignacio Bravo-Muñoz verfasserin aut Georgios Tsirigotis verfasserin aut Juan Iglesias-Miguel verfasserin aut In Sensors MDPI AG, 2003 17(2017), 9, p 2038 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:17 year:2017 number:9, p 2038 https://doi.org/10.3390/s17092038 kostenfrei https://doaj.org/article/f00f92688a1c4a7690cc92571fda579c kostenfrei https://www.mdpi.com/1424-8220/17/9/2038 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 9, p 2038
allfieldsSound	10.3390/s17092038 doi (DE-627)DOAJ085508268 (DE-599)DOAJf00f92688a1c4a7690cc92571fda579c DE-627 ger DE-627 rakwb eng TP1-1185 Álvaro De-La-Llana-Calvo verfasserin aut Modeling the Effect of Optical Signal Multipath 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Here, we propose a model to determine the effect of multipath in indoor environments when the shape and characteristics of the environment are known. The main paper goal is to model the multipath signal formation to solve, as much as possible, the negative effects in light communications, as well as the indoor positioning errors due to this phenomenon when using optical signals. The methodology followed was: analyze the multipath phenomenon, establish a theoretical approach and propose different models to characterize the behavior of the channel, emitter and receiver. The channel impulse response and received signal strength are obtained from different proposed algorithms. We also propose steps for implementing a numerical procedure to calculate the effects of these multipaths using information that characterizes the environment, transmitter and receiver and their corresponding positions. In addition, the results of an empirical test in a controlled environment are compared with those obtained using the model, in order to validate the latter. The results may largely vary with respect to the cell size used to discretize the environment. We have concluded that a cell size whose side is 20-times smaller than the minimum distance between emitter and receiver (i.e., 10 cm × 10 cm for a 2-m distance) provides almost identical results between the empirical tests and the proposed model, with an affordable computational load. infrared multipath reflection modeling impulse response indoor optical wireless indoor positioning system Chemical technology José Luis Lázaro-Galilea verfasserin aut Alfredo Gardel-Vicente verfasserin aut David Rodríguez-Navarro verfasserin aut Ignacio Bravo-Muñoz verfasserin aut Georgios Tsirigotis verfasserin aut Juan Iglesias-Miguel verfasserin aut In Sensors MDPI AG, 2003 17(2017), 9, p 2038 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:17 year:2017 number:9, p 2038 https://doi.org/10.3390/s17092038 kostenfrei https://doaj.org/article/f00f92688a1c4a7690cc92571fda579c kostenfrei https://www.mdpi.com/1424-8220/17/9/2038 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 9, p 2038
language	English
source	In Sensors 17(2017), 9, p 2038 volume:17 year:2017 number:9, p 2038
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topic_facet	infrared multipath reflection modeling impulse response indoor optical wireless indoor positioning system Chemical technology
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authorswithroles_txt_mv	Álvaro De-La-Llana-Calvo @@aut@@ José Luis Lázaro-Galilea @@aut@@ Alfredo Gardel-Vicente @@aut@@ David Rodríguez-Navarro @@aut@@ Ignacio Bravo-Muñoz @@aut@@ Georgios Tsirigotis @@aut@@ Juan Iglesias-Miguel @@aut@@
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callnumber-first	T - Technology
author	Álvaro De-La-Llana-Calvo
spellingShingle	Álvaro De-La-Llana-Calvo misc TP1-1185 misc infrared misc multipath misc reflection modeling misc impulse response misc indoor optical wireless misc indoor positioning system misc Chemical technology Modeling the Effect of Optical Signal Multipath
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topic_title	TP1-1185 Modeling the Effect of Optical Signal Multipath infrared multipath reflection modeling impulse response indoor optical wireless indoor positioning system
topic	misc TP1-1185 misc infrared misc multipath misc reflection modeling misc impulse response misc indoor optical wireless misc indoor positioning system misc Chemical technology
topic_unstemmed	misc TP1-1185 misc infrared misc multipath misc reflection modeling misc impulse response misc indoor optical wireless misc indoor positioning system misc Chemical technology
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title	Modeling the Effect of Optical Signal Multipath
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title_full	Modeling the Effect of Optical Signal Multipath
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author_browse	Álvaro De-La-Llana-Calvo José Luis Lázaro-Galilea Alfredo Gardel-Vicente David Rodríguez-Navarro Ignacio Bravo-Muñoz Georgios Tsirigotis Juan Iglesias-Miguel
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title_sort	modeling the effect of optical signal multipath
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title_auth	Modeling the Effect of Optical Signal Multipath
abstract	Here, we propose a model to determine the effect of multipath in indoor environments when the shape and characteristics of the environment are known. The main paper goal is to model the multipath signal formation to solve, as much as possible, the negative effects in light communications, as well as the indoor positioning errors due to this phenomenon when using optical signals. The methodology followed was: analyze the multipath phenomenon, establish a theoretical approach and propose different models to characterize the behavior of the channel, emitter and receiver. The channel impulse response and received signal strength are obtained from different proposed algorithms. We also propose steps for implementing a numerical procedure to calculate the effects of these multipaths using information that characterizes the environment, transmitter and receiver and their corresponding positions. In addition, the results of an empirical test in a controlled environment are compared with those obtained using the model, in order to validate the latter. The results may largely vary with respect to the cell size used to discretize the environment. We have concluded that a cell size whose side is 20-times smaller than the minimum distance between emitter and receiver (i.e., 10 cm × 10 cm for a 2-m distance) provides almost identical results between the empirical tests and the proposed model, with an affordable computational load.
abstractGer	Here, we propose a model to determine the effect of multipath in indoor environments when the shape and characteristics of the environment are known. The main paper goal is to model the multipath signal formation to solve, as much as possible, the negative effects in light communications, as well as the indoor positioning errors due to this phenomenon when using optical signals. The methodology followed was: analyze the multipath phenomenon, establish a theoretical approach and propose different models to characterize the behavior of the channel, emitter and receiver. The channel impulse response and received signal strength are obtained from different proposed algorithms. We also propose steps for implementing a numerical procedure to calculate the effects of these multipaths using information that characterizes the environment, transmitter and receiver and their corresponding positions. In addition, the results of an empirical test in a controlled environment are compared with those obtained using the model, in order to validate the latter. The results may largely vary with respect to the cell size used to discretize the environment. We have concluded that a cell size whose side is 20-times smaller than the minimum distance between emitter and receiver (i.e., 10 cm × 10 cm for a 2-m distance) provides almost identical results between the empirical tests and the proposed model, with an affordable computational load.
abstract_unstemmed	Here, we propose a model to determine the effect of multipath in indoor environments when the shape and characteristics of the environment are known. The main paper goal is to model the multipath signal formation to solve, as much as possible, the negative effects in light communications, as well as the indoor positioning errors due to this phenomenon when using optical signals. The methodology followed was: analyze the multipath phenomenon, establish a theoretical approach and propose different models to characterize the behavior of the channel, emitter and receiver. The channel impulse response and received signal strength are obtained from different proposed algorithms. We also propose steps for implementing a numerical procedure to calculate the effects of these multipaths using information that characterizes the environment, transmitter and receiver and their corresponding positions. In addition, the results of an empirical test in a controlled environment are compared with those obtained using the model, in order to validate the latter. The results may largely vary with respect to the cell size used to discretize the environment. We have concluded that a cell size whose side is 20-times smaller than the minimum distance between emitter and receiver (i.e., 10 cm × 10 cm for a 2-m distance) provides almost identical results between the empirical tests and the proposed model, with an affordable computational load.
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title_short	Modeling the Effect of Optical Signal Multipath
url	https://doi.org/10.3390/s17092038 https://doaj.org/article/f00f92688a1c4a7690cc92571fda579c https://www.mdpi.com/1424-8220/17/9/2038 https://doaj.org/toc/1424-8220
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up_date	2024-07-03T15:09:51.578Z
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