Statistical Analysis of Radio Propagation Channel in Ruins Environment
The cellphone based localization system for search and rescue in complex high density ruins has attracted a great interest in recent years, where the radio channel characteristics are critical for design and development of such a system. This paper presents a spatial smoothing estimation via rotatio...
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Format: | Article |
Language: | English |
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Wiley
2015-01-01
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Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2015/173936 |
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author | Jiao He Er-Ping Li Sai-Qiong Zhou Kun Liao |
author_facet | Jiao He Er-Ping Li Sai-Qiong Zhou Kun Liao |
author_sort | Jiao He |
collection | DOAJ |
description | The cellphone based localization system for search and rescue in complex high density ruins has attracted a great interest in recent years, where the radio channel characteristics are critical for design and development of such a system. This paper presents a spatial smoothing estimation via rotational invariance technique (SS-ESPRIT) for radio channel characterization of high density ruins. The radio propagations at three typical mobile communication bands (0.9, 1.8, and 2 GHz) are investigated in two different scenarios. Channel parameters, such as arrival time, delays, and complex amplitudes, are statistically analyzed. Furthermore, a channel simulator is built based on these statistics. By comparison analysis of average excess delay and delay spread, the validation results show a good agreement between the measurements and channel modeling results. |
format | Article |
id | doaj-art-9e9f1862d7a94002bce734739c715d5c |
institution | Kabale University |
issn | 1687-5869 1687-5877 |
language | English |
publishDate | 2015-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Antennas and Propagation |
spelling | doaj-art-9e9f1862d7a94002bce734739c715d5c2025-02-03T06:01:42ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/173936173936Statistical Analysis of Radio Propagation Channel in Ruins EnvironmentJiao He0Er-Ping Li1Sai-Qiong Zhou2Kun Liao3Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, ChinaDepartment of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, ChinaDepartment of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, ChinaDepartment of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, ChinaThe cellphone based localization system for search and rescue in complex high density ruins has attracted a great interest in recent years, where the radio channel characteristics are critical for design and development of such a system. This paper presents a spatial smoothing estimation via rotational invariance technique (SS-ESPRIT) for radio channel characterization of high density ruins. The radio propagations at three typical mobile communication bands (0.9, 1.8, and 2 GHz) are investigated in two different scenarios. Channel parameters, such as arrival time, delays, and complex amplitudes, are statistically analyzed. Furthermore, a channel simulator is built based on these statistics. By comparison analysis of average excess delay and delay spread, the validation results show a good agreement between the measurements and channel modeling results.http://dx.doi.org/10.1155/2015/173936 |
spellingShingle | Jiao He Er-Ping Li Sai-Qiong Zhou Kun Liao Statistical Analysis of Radio Propagation Channel in Ruins Environment International Journal of Antennas and Propagation |
title | Statistical Analysis of Radio Propagation Channel in Ruins Environment |
title_full | Statistical Analysis of Radio Propagation Channel in Ruins Environment |
title_fullStr | Statistical Analysis of Radio Propagation Channel in Ruins Environment |
title_full_unstemmed | Statistical Analysis of Radio Propagation Channel in Ruins Environment |
title_short | Statistical Analysis of Radio Propagation Channel in Ruins Environment |
title_sort | statistical analysis of radio propagation channel in ruins environment |
url | http://dx.doi.org/10.1155/2015/173936 |
work_keys_str_mv | AT jiaohe statisticalanalysisofradiopropagationchannelinruinsenvironment AT erpingli statisticalanalysisofradiopropagationchannelinruinsenvironment AT saiqiongzhou statisticalanalysisofradiopropagationchannelinruinsenvironment AT kunliao statisticalanalysisofradiopropagationchannelinruinsenvironment |