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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Main Authors: Jiao He, Er-Ping Li, Sai-Qiong Zhou, Kun Liao
Format: Article
Language:English
Published: Wiley 2015-01-01
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