Exploiting the spatio-temporal channel properties of multiple antenna systems

Behailu Yohannes Shikur

doi:10.18453/rosdok_id00001734

Behailu Yohannes Shikur

Exploiting the spatio-temporal channel properties of multiple antenna systems

Universität Rostock, 2016

https://doi.org/10.18453/rosdok_id00001734

Abstract: The spatio-temporal channel properties of multiple antenna systems are exploited to obtain new approaches to localization and channel prediction. It is shown that a mobile station can be localized in multipath environments under the explicit consideration of scatterers. Thus, unlike conventional localization systems, the scatterers are used as an aid in localization. Moreover, it is shown that channel prediction in multiple antenna systems can be performed using linear prediction filters. This result is used to propose optimal and computationally inexpensive suboptimal channel predictors.

doctoral thesis free access

title:

Exploiting the spatio-temporal channel properties of multiple antenna systems

contributing persons:

Behailu Yohannes Shikur[VerfasserIn]
	1103703226
Tobias Weber , Prof. Dr.-Ing. habil.[AkademischeR BetreuerIn]
	121848949
	Universität Rostock, Institut für Nachrichtentechnik
Gerhard Bauch , Prof. Dr.-Ing.[AkademischeR BetreuerIn]
	Technische Universität Hamburg, Institut für Nachrichtentechnik
Volker Kühn , Prof. Dr.-Ing. habil.[AkademischeR BetreuerIn]
	13279490X
	Universität Rostock, Institut für Nachrichtentechnik

contributing corporate bodies:

Universität Rostock, Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution]
	10085032-7

abstract:

The spatio-temporal channel properties of multiple antenna systems are exploited to obtain new approaches to localization and channel prediction. It is shown that a mobile station can be localized in multipath environments under the explicit consideration of scatterers. Thus, unlike conventional localization systems, the scatterers are used as an aid in localization. Moreover, it is shown that channel prediction in multiple antenna systems can be performed using linear prediction filters. This result is used to propose optimal and computationally inexpensive suboptimal channel predictors. [English]

document type:

doctoral thesis

institution:

Faculty for Informatics and Electrical Engineering

language:

English

subject class (DDC):

620 Engineering & allied operations

publication /
production:

Rostock: Universität Rostock

2016

identifiers: