An Improved Scheme for Channel Parameter Estimation in Mobile Communication Systems

Jingyu HUA; Xiaohu YOU; Dongming WANG

doi:10.1093/ietele/e88-c.12.2325

An Improved Scheme for Channel Parameter Estimation in Mobile Communication Systems

Jingyu HUA, Xiaohu YOU, Dongming WANG

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In [1], an algorithm based on phase variations of received pilot symbols was proposed to estimate one of the most important channel parameters, maximum Doppler shift, f_d. However, AWGN (Additive white gauss noise) will cause large estimation error in some cases. In order to analyze the influence of noise, we extended the phase probability density function (pdf) in [1] to the scenario with both fading and AWGN, then the estimation error is characterized in closed-form expression. By this error expression, we found that power control will affect the estimator of [1] and we proposed a modification method based on SNR estimation to obtain accurate Doppler shift estimation in moderate low SNRs (signal-to-noise ratio). Simulation results show high accuracy in wide range of velocities and SNRs.

Publication: IEICE TRANSACTIONS on Electronics Vol.E88-C No.12 pp.2325-2329

Publication Date: 2005/12/01

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DOI: 10.1093/ietele/e88-c.12.2325

Type of Manuscript: Special Section PAPER (Special Section on Wireless Technologies and Computational Electromagnetics)

Category: Mobile Communication

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Jingyu HUA, Xiaohu YOU, Dongming WANG, "An Improved Scheme for Channel Parameter Estimation in Mobile Communication Systems" in IEICE TRANSACTIONS on Electronics, vol. E88-C, no. 12, pp. 2325-2329, December 2005, doi: 10.1093/ietele/e88-c.12.2325.
Abstract: In [1], an algorithm based on phase variations of received pilot symbols was proposed to estimate one of the most important channel parameters, maximum Doppler shift, f_d. However, AWGN (Additive white gauss noise) will cause large estimation error in some cases. In order to analyze the influence of noise, we extended the phase probability density function (pdf) in [1] to the scenario with both fading and AWGN, then the estimation error is characterized in closed-form expression. By this error expression, we found that power control will affect the estimator of [1] and we proposed a modification method based on SNR estimation to obtain accurate Doppler shift estimation in moderate low SNRs (signal-to-noise ratio). Simulation results show high accuracy in wide range of velocities and SNRs.
URL: https://globals.ieice.org/en_transactions/electronics/10.1093/ietele/e88-c.12.2325/_p

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@ARTICLE{e88-c_12_2325,
author={Jingyu HUA, Xiaohu YOU, Dongming WANG, },
journal={IEICE TRANSACTIONS on Electronics},
title={An Improved Scheme for Channel Parameter Estimation in Mobile Communication Systems},
year={2005},
volume={E88-C},
number={12},
pages={2325-2329},
abstract={In [1], an algorithm based on phase variations of received pilot symbols was proposed to estimate one of the most important channel parameters, maximum Doppler shift, f_d. However, AWGN (Additive white gauss noise) will cause large estimation error in some cases. In order to analyze the influence of noise, we extended the phase probability density function (pdf) in [1] to the scenario with both fading and AWGN, then the estimation error is characterized in closed-form expression. By this error expression, we found that power control will affect the estimator of [1] and we proposed a modification method based on SNR estimation to obtain accurate Doppler shift estimation in moderate low SNRs (signal-to-noise ratio). Simulation results show high accuracy in wide range of velocities and SNRs.},
keywords={},
doi={10.1093/ietele/e88-c.12.2325},
ISSN={},
month={December},}

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TY - JOUR
TI - An Improved Scheme for Channel Parameter Estimation in Mobile Communication Systems
T2 - IEICE TRANSACTIONS on Electronics
SP - 2325
EP - 2329
AU - Jingyu HUA
AU - Xiaohu YOU
AU - Dongming WANG
PY - 2005
DO - 10.1093/ietele/e88-c.12.2325
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E88-C
IS - 12
JA - IEICE TRANSACTIONS on Electronics
Y1 - December 2005
AB - In [1], an algorithm based on phase variations of received pilot symbols was proposed to estimate one of the most important channel parameters, maximum Doppler shift, f_d. However, AWGN (Additive white gauss noise) will cause large estimation error in some cases. In order to analyze the influence of noise, we extended the phase probability density function (pdf) in [1] to the scenario with both fading and AWGN, then the estimation error is characterized in closed-form expression. By this error expression, we found that power control will affect the estimator of [1] and we proposed a modification method based on SNR estimation to obtain accurate Doppler shift estimation in moderate low SNRs (signal-to-noise ratio). Simulation results show high accuracy in wide range of velocities and SNRs.
ER -