|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
2009 WRI World Congress on Computer Science and Information Engineering
Equalization of Time-Variant Communications Channels via Adaptive AR Prefiltering
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
| ASCII Text | x | ||
| Tetsuya Shimamura, "Equalization of Time-Variant Communications Channels via Adaptive AR Prefiltering," Computer Science and Information Engineering, World Congress on, vol. 6, pp. 327-331, 2009 WRI World Congress on Computer Science and Information Engineering, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSIE.2009.250, author = {Tetsuya Shimamura}, title = {Equalization of Time-Variant Communications Channels via Adaptive AR Prefiltering}, journal ={Computer Science and Information Engineering, World Congress on}, volume = {6}, year = {2009}, isbn = {978-0-7695-3507-4}, pages = {327-331}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.250}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Science and Information Engineering, World Congress on TI - Equalization of Time-Variant Communications Channels via Adaptive AR Prefiltering SN - 978-0-7695-3507-4 SP327 EP331 A1 - Tetsuya Shimamura, PY - 2009 KW - equalizer KW - time-variant channel KW - LMS KW - AR prefilter VL - 6 JA - Computer Science and Information Engineering, World Congress on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.250
For the purpose of time-variant channel equalization, a novel structure of equalizer is proposed. An autoregressive (AR) filter is used as the prefilter and a finite impulse response (FIR) filter is cascaded. The AR prefilter is constructed from channel estimation results adaptively, and the cascaded FIR filter behaves as an adaptive FIR equalizer. It is shown that the resulting infinite impulse response (IIR) equalizer is closely related with the IIR-type Wiener filter. Simulations demonstrate that the proposed equalizer provides better performance than the FIR equalizer with the least mean square adaptation in time-variant environments.
Index Terms:
equalizer, time-variant channel, LMS, AR prefilter
Citation:
Tetsuya Shimamura, "Equalization of Time-Variant Communications Channels via Adaptive AR Prefiltering," csie, vol. 6, pp.327-331, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.