Wireless Channel Blind Identification Using a Generic Adaptive FIR Architecture
Global Proceedings Repository
View Archive Info| Field | Value | |
| Title |
Wireless Channel Blind Identification Using a Generic Adaptive FIR Architecture
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| Creator |
Sami Hasan
Anas Fadhil |
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| Description |
In wireless channels there are Non-idealities that cause distortion to the mobile signalsuch as long distance, multipath and the noise that the channel added to the transmittedsignal. This paper utilizes adaptive filtering techniques to solve this channel distortion.Consequently, an adaptive FIR blind identification architecture is developed using fouradaptive algorithms to estimate wireless time invariant as well as time varying channels.The four adaptive algorithms are least mean square (LMS), normalized least square(NLMS), recursive least square (RLS) and affine projection algorithm (AFP). The resultsshows that the RLS outperforms other algorithm in wireless time-invariant channel withleast mean square error of (0.0116), and AFA outperforms other algorithms in wirelesstime-variant channel with least square error of (0.433) and fastest convergence rate. Theimplications of this wireless channel identification architecture are feasible in detectingnext-generation 5G channels and underwater acoustic channel to provide the channelinformation for further signal processing.
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| Publisher |
Int'l Conference on Change, Innovation, Informatics and Disrurptuive Technology
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| Contributor |
—
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| Date |
2016-12-17 20:49:12
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| Type |
Peer-reviewed Paper
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| Format |
application/pdf
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| Identifier |
http://proceedings.sriweb.org/repository/index.php/ICCIIDT/icciidtt_london/paper/view/13
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| Source |
Int'l Conference on Change, Innovation, Informatics and Disrurptuive Technology; ICCIIDT London - UK
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| Language |
en
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| Rights |
Authors who submit to this conference agree to the following terms: a) Authors retain copyright over their work, while allowing the conference to place this unpublished work under a Creative Commons Attribution License, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference. b) Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference. c) In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference. |
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