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Performance evaluations of channel estimations in IEEE 802.11p environments

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Abstract

A time-domain (TD) channel estimation (CE) technique is proposed in this paper to enhance the CE performance of IEEE 802.11p standards in cases when the pilot density is insufficient to accurately estimate channel states in rich-scattering environments. This technique is based on a least squares (LS) algorithm and assisted from Zadoff-Chu (ZC) sequences arranged into the symbol prefix and training preambles. The channel conditions tested in this paper were comprehensively simulated in urban, suburb and express-way scenarios.

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Abbreviations

AGC:

automatic gain control

ASTM:

American Society for Testing and Materials

AWGN:

Additive White Gaussian Noise

BER:

bit-error rate

CE:

channel estimation

CIR:

channel impulse response

CP:

cyclic prefix

DFT:

discrete Fourier transform

DSRC:

Dedicated Short Range Communication

FCC:

Federal Communications Commission

FD:

frequency domain

I2V:

infrastructure-to-vehicle

IBI:

inter-block interference

ICI:

inter-carrier interference

IDFT:

inverse discrete Fourier transform

ISI:

inter-symbol interference

ITS:

Intelligent Transportation System

LOS:

line-of-sight

LS:

least squares

NLOS:

non-line-of-sight

OFDM:

orthogonal frequency division multiplexing

OLA:

overlap-add

PHY:

physical-layer

PRP:

pseudo random postfix

rms:

root-mean-square

SIC:

self-Interference cancellation

TD:

time domain

TDLE:

time domain linear extrapolation

TDLSE:

time domain least squares estimation

V2I:

vehicle-to-infrastructure

WAVE:

Wireless Access in Vehicular Environments

ZC sequence:

Zadoff-Chu sequences

ZP:

zero-padding

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Correspondence to Chi-Sheng Lin.

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Lin, CS., Sun, CK., Lin, JC. et al. Performance evaluations of channel estimations in IEEE 802.11p environments. Telecommun Syst 52, 1731–1742 (2013). https://doi.org/10.1007/s11235-011-9480-x

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