DocumentCode
717821
Title
Pilot Insertion Rate for SC-FDE Systems Employing Subspace-Based Channel Estimation
Author
Gholami-Boroujeny, Shiva ; Dahmane, Adel O. ; D´Amours, Claude
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
fYear
2015
fDate
11-14 May 2015
Firstpage
1
Lastpage
5
Abstract
Blind or semi-blind channel estimation techniques, such as subspace decomposition, often use second order statistics which can provide channel estimates that are multiplied by an unknown complex constant, known as the ambiguity. Determination of this ambiguity can be achieved by the insertion of a small number of pilot symbols within a data block. The goal of this paper is to investigate the bit error rate performance of single carrier frequency domain equalization (SC-FDE) based transmissions using different pilot insertion rates, with the goal of determining the ambiguity without sacrificing spectral efficiency. Using Monte Carlo simulation, our results show, for the conditions presented in this paper, the insertion of 4 pilot symbols per 64 symbol block (or a ratio of 1 pilot per 15 information symbols) achieves a BER of 10-3 with a power loss of 1dB or 1.5 dB (depending on the channel order) compared to a system with perfect ambiguity resolution.
Keywords
Monte Carlo methods; blind equalisers; channel estimation; error statistics; frequency division multiple access; higher order statistics; BER; Monte Carlo simulation; SC-FDE systems; bit error rate; blind channel estimation techniques; data block; pilot insertion rate; pilot symbols; second order statistics; single carrier frequency domain equalization based transmission; subspace based channel estimation; subspace decomposition; Bit error rate; Blind equalizers; Channel estimation; Discrete Fourier transforms; Estimation; Frequency-domain analysis; Receivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
Conference_Location
Glasgow
Type
conf
DOI
10.1109/VTCSpring.2015.7146017
Filename
7146017
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