Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or Profile

The paper presents an estimation of the reception angle distribution based on temporal characteristics such as the power delay spectrum (PDS) or power delay profile (PDP). Here, we focus on such wireless environment, where the propagation phenomenon predominates in azimuth plane. As a basis to deter...

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Main Authors: Cezary Ziółkowski, Jan M. Kelner
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2015/936406
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spelling doaj-f8ad4a21e78a4cf7ac6fc8f3b81070d02020-11-24T23:18:46ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/936406936406Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or ProfileCezary Ziółkowski0Jan M. Kelner1Institute of Telecommunications, Faculty of Electronics, Military University of Technology, Gen. Sylwestra Kaliskiego Street No. 2, 00-908 Warsaw, PolandInstitute of Telecommunications, Faculty of Electronics, Military University of Technology, Gen. Sylwestra Kaliskiego Street No. 2, 00-908 Warsaw, PolandThe paper presents an estimation of the reception angle distribution based on temporal characteristics such as the power delay spectrum (PDS) or power delay profile (PDP). Here, we focus on such wireless environment, where the propagation phenomenon predominates in azimuth plane. As a basis to determine probability density function (PDF) of the angle of arrival (AOA), a geometrical channel model (GCM) in form of the multielliptical model for delayed scattering components and the von Mises’ PDF for local scattering components are used. Therefore, this estimator is called the distribution based on multielliptical model (DBMM). The parameters of GCM are defined on the basis of the PDS or PDP and the relative position of the transmitter and the receiver. In contrast to the previously known statistical models, DBMM ensures the estimation PDF of AOA by using the temporal characteristics of the channel for differing propagation conditions. Based on the results of measurements taken from the literature, DBMM verification, assessment of accuracy, and comparison with other models are shown. The results of comparison show that DBMM is the only model that provides the smallest least-squares error for different environments.http://dx.doi.org/10.1155/2015/936406
collection DOAJ
language English
format Article
sources DOAJ
author Cezary Ziółkowski
Jan M. Kelner
spellingShingle Cezary Ziółkowski
Jan M. Kelner
Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or Profile
International Journal of Antennas and Propagation
author_facet Cezary Ziółkowski
Jan M. Kelner
author_sort Cezary Ziółkowski
title Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or Profile
title_short Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or Profile
title_full Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or Profile
title_fullStr Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or Profile
title_full_unstemmed Estimation of the Reception Angle Distribution Based on the Power Delay Spectrum or Profile
title_sort estimation of the reception angle distribution based on the power delay spectrum or profile
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2015-01-01
description The paper presents an estimation of the reception angle distribution based on temporal characteristics such as the power delay spectrum (PDS) or power delay profile (PDP). Here, we focus on such wireless environment, where the propagation phenomenon predominates in azimuth plane. As a basis to determine probability density function (PDF) of the angle of arrival (AOA), a geometrical channel model (GCM) in form of the multielliptical model for delayed scattering components and the von Mises’ PDF for local scattering components are used. Therefore, this estimator is called the distribution based on multielliptical model (DBMM). The parameters of GCM are defined on the basis of the PDS or PDP and the relative position of the transmitter and the receiver. In contrast to the previously known statistical models, DBMM ensures the estimation PDF of AOA by using the temporal characteristics of the channel for differing propagation conditions. Based on the results of measurements taken from the literature, DBMM verification, assessment of accuracy, and comparison with other models are shown. The results of comparison show that DBMM is the only model that provides the smallest least-squares error for different environments.
url http://dx.doi.org/10.1155/2015/936406
work_keys_str_mv AT cezaryziołkowski estimationofthereceptionangledistributionbasedonthepowerdelayspectrumorprofile
AT janmkelner estimationofthereceptionangledistributionbasedonthepowerdelayspectrumorprofile
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