The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nesta carta, primeiro investigamos o viés do estimador de deslocamento Doppler com base em função de autocorrelação (ACF). Então derivamos um a relação sinal-ruído (SNR) condição independente para estimativa do deslocamento Doppler e atingir esta condição por um processo adaptativo. Além disso, apresentamos análises teóricas sobre a convergência do nosso estimador adaptativo de deslocamento Doppler e derivamos uma expressão aproximada para seu erro quadrático médio (MSE). Verificamos o estimador proposto por simulação computacional, cujos resultados estão de acordo com a análise, ou seja, o método proposto atinge um bom desempenho independente de SNR em uma ampla faixa de velocidades e SNRs.
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Jingyu HUA, Limin MENG, Gang LI, Dongming WANG, Xiaohu YOU, "An Accurate Scheme for Channel Parameter Estimation in Mobile Propagations" in IEICE TRANSACTIONS on Electronics,
vol. E92-C, no. 1, pp. 116-120, January 2009, doi: 10.1587/transele.E92.C.116.
Abstract: In this letter, we first investigate the bias of Doppler shift estimator based on autocorrelation function (ACF). Then we derive a signal-to-noise ratio (SNR) independent condition for Doppler shift estimation and achieve this condition by a adaptive process. Moreover, we present theoretical analysis about the convergency of our adaptive Doppler shift estimator, and derive a close-form expression for its mean square error (MSE). We verify the proposed estimator by computer simulation, the results of which are in agreement with the analysis, i.e., the proposed method achieves a good SNR-independent performance in a wide range of velocities and SNRs.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E92.C.116/_p
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@ARTICLE{e92-c_1_116,
author={Jingyu HUA, Limin MENG, Gang LI, Dongming WANG, Xiaohu YOU, },
journal={IEICE TRANSACTIONS on Electronics},
title={An Accurate Scheme for Channel Parameter Estimation in Mobile Propagations},
year={2009},
volume={E92-C},
number={1},
pages={116-120},
abstract={In this letter, we first investigate the bias of Doppler shift estimator based on autocorrelation function (ACF). Then we derive a signal-to-noise ratio (SNR) independent condition for Doppler shift estimation and achieve this condition by a adaptive process. Moreover, we present theoretical analysis about the convergency of our adaptive Doppler shift estimator, and derive a close-form expression for its mean square error (MSE). We verify the proposed estimator by computer simulation, the results of which are in agreement with the analysis, i.e., the proposed method achieves a good SNR-independent performance in a wide range of velocities and SNRs.},
keywords={},
doi={10.1587/transele.E92.C.116},
ISSN={1745-1353},
month={January},}
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TY - JOUR
TI - An Accurate Scheme for Channel Parameter Estimation in Mobile Propagations
T2 - IEICE TRANSACTIONS on Electronics
SP - 116
EP - 120
AU - Jingyu HUA
AU - Limin MENG
AU - Gang LI
AU - Dongming WANG
AU - Xiaohu YOU
PY - 2009
DO - 10.1587/transele.E92.C.116
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E92-C
IS - 1
JA - IEICE TRANSACTIONS on Electronics
Y1 - January 2009
AB - In this letter, we first investigate the bias of Doppler shift estimator based on autocorrelation function (ACF). Then we derive a signal-to-noise ratio (SNR) independent condition for Doppler shift estimation and achieve this condition by a adaptive process. Moreover, we present theoretical analysis about the convergency of our adaptive Doppler shift estimator, and derive a close-form expression for its mean square error (MSE). We verify the proposed estimator by computer simulation, the results of which are in agreement with the analysis, i.e., the proposed method achieves a good SNR-independent performance in a wide range of velocities and SNRs.
ER -