Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2023
Title: Approximate best Linear unbiased channel estimation with CFAR detection for frequency selective sparse multipath channels with long delay spreads
Authors: Özen, Serdar
Özen, Serdar
Izmir Institute of Technology. Electronics and Communication Engineering
Keywords: Estimation
CFAR detection
Channel estimate
Channel impulse response
Correlation processing
Digital TV systems
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Özen, S. (2005). Approximate best Linear unbiased channel estimation with CFAR detection for frequency selective sparse multipath channels with long delay spreads. Paper presented at 13th European Signal Processing Conference, EUSIPCO 2005; Antalya; Turkey (pp. 1463-1466). IEEE.
Abstract: We provide a non-iterative channel impulse response (CIR) estimation algorithm for communication systems which utilize a periodically transmitted training sequence within a continuous stream of information symbols. The non-iterative channel estimate is an approximation to the Best Linear Unbiased Estimate (BLUE) of the CIR, achieving almost similar performance, with much lower complexity. We first provide a formulation of the received data and correlation processing with the adjacent symbol correlation taken into account, and we then present the connections of the correlation based CIR estimation scheme to the ordinary least squares CIR estimation, and the approximate BLUE CIR estimation. Simulation results are provided to demonstrate the performance of the novel algorithms for 8-VSB ATSC Digital TV system.
Description: 13th European Signal Processing Conference, EUSIPCO 2005; Antalya; Turkey; 4 September 2005 through 8 September 2005
URI: http://hdl.handle.net/11147/2023
ISBN: 9781604238211
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
2023.pdfConference Paper205.58 kBAdobe PDFThumbnail
View/Open
Show full item record

CORE Recommender

Google ScholarTM

Check

Altmetric


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