Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2342
Title: A fading filter design for multipath rayleigh fading simulation and comparisons to other simulators
Authors: Arsal, Ali
Özen, Serdar
Keywords: Rayleigh fading
Analog domain
Filter designs
White Gaussian Noise
Multipath Rayleigh fading
Issue Date: 2008
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Arsal, A., and Özen, S. (2008, September 15-18). A fading filter design for multipath rayleigh fading simulation and comparisons to other simulators. Paper presented at the IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008. doi:10.1109/PIMRC.2008.4699584
Abstract: A low-complexity high performance Rayleigh fading simulator, an ARMA(3,3) model, is proposed. This proposed method is a variant of the method of filtering of the white Gaussian noise where the filter design is accomplished in the analog domain and transferred into digital domain. The proposed model is compared with improved Jakes' model, autoregressive filtering and IDFT techniques, in performance and computational complexity. Proposed method outperforms AR(20) filter and modified Jakes' generators in performance. Although IDFT method achieves the best performance, it brings a significant cost in storage and is undesirable. The proposed method achieves high performance with the lowest complexity.
Description: IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008; Poznan; Poland; 15 September 2008 through 18 September 2008
URI: http://doi.org/10.1109/PIMRC.2008.4699584
http://hdl.handle.net/11147/2342
ISBN: 9781424426447
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
2342.pdfConference Paper1.34 MBAdobe PDFThumbnail
View/Open
Show full item record

CORE Recommender

SCOPUSTM   
Citations

5
checked on Dec 4, 2021

Page view(s)

22
checked on Dec 8, 2021

Download(s)

24
checked on Dec 8, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.