Relay self interference minimisation using tapped filter

Handle URI:
http://hdl.handle.net/10754/564710
Title:
Relay self interference minimisation using tapped filter
Authors:
Jazzar, Saleh; Al-Naffouri, Tareq Y.
Abstract:
In this paper we introduce a self interference (SI) estimation and minimisation technique for amplify and forward relays. Relays are used to help forward signals between a transmitter and a receiver. This helps increase the signal coverage and reduce the required transmitted signal power. One problem that faces relays communications is the leaked signal from the relay's output to its input. This will cause an SI problem where the new received signal at the relay's input will be added with the unwanted leaked signal from the relay's output. A Solution is proposed in this paper to estimate and minimise this SI which is based upon using a tapped filter at the destination. To get the optimum weights for this tapped filter, some channel parameters must be estimated first. This is performed blindly at the destination without the need of any training. This channel parameter estimation method is named the blind-self-interference-channel-estimation (BSICE) method. The next step in the proposed solution is to estimate the tapped filter's weights. This is performed by minimising the mean squared error (MSE) at the destination. This proposed method is named the MSE-Optimum Weight (MSE-OW) method. Simulation results are provided in this paper to verify the performance of BSICE and MSE-OW methods. © 2013 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)
Conference/Event name:
2013 8th International Workshop on Systems, Signal Processing and Their Applications, WoSSPA 2013
Issue Date:
May-2013
DOI:
10.1109/WoSSPA.2013.6602383
Type:
Conference Paper
ISBN:
9781467355407
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorJazzar, Salehen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2015-08-04T07:13:17Zen
dc.date.available2015-08-04T07:13:17Zen
dc.date.issued2013-05en
dc.identifier.isbn9781467355407en
dc.identifier.doi10.1109/WoSSPA.2013.6602383en
dc.identifier.urihttp://hdl.handle.net/10754/564710en
dc.description.abstractIn this paper we introduce a self interference (SI) estimation and minimisation technique for amplify and forward relays. Relays are used to help forward signals between a transmitter and a receiver. This helps increase the signal coverage and reduce the required transmitted signal power. One problem that faces relays communications is the leaked signal from the relay's output to its input. This will cause an SI problem where the new received signal at the relay's input will be added with the unwanted leaked signal from the relay's output. A Solution is proposed in this paper to estimate and minimise this SI which is based upon using a tapped filter at the destination. To get the optimum weights for this tapped filter, some channel parameters must be estimated first. This is performed blindly at the destination without the need of any training. This channel parameter estimation method is named the blind-self-interference-channel-estimation (BSICE) method. The next step in the proposed solution is to estimate the tapped filter's weights. This is performed by minimising the mean squared error (MSE) at the destination. This proposed method is named the MSE-Optimum Weight (MSE-OW) method. Simulation results are provided in this paper to verify the performance of BSICE and MSE-OW methods. © 2013 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleRelay self interference minimisation using tapped filteren
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)en
dc.conference.date12 May 2013 through 15 May 2013en
dc.conference.name2013 8th International Workshop on Systems, Signal Processing and Their Applications, WoSSPA 2013en
dc.conference.locationAlgiersen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorJazzar, Salehen
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