IEICE TRANSACTIONS on Fundamentals
Online SNR and Fading Parameter Estimation for Parallel Combinatorial SS Systems in Nakagami Fading Channels
Summary :
This letter discusses the performance of online SNR estimation including fading parameter estimation for parallel combinatorial SS (PC/SS) systems. The PC/SS systems are partial-code-parallel multicode SS systems, which have high-rate data transmission capability. Nakagami-m distribution is assumed as fading channel model to cover a wide range of fading conditions. The SNR and fading parameter estimation considered in this letter is based on only a statistical ratio of correlator outputs at the receiver. Numerical results show that SNR estimation performance with fading parameter estimation is close to the one in the case of perfect fading parameter information, if the number of transmitting PN codes is less than a half of assigned PN codes.
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- IEICE TRANSACTIONS on Fundamentals Vol.E87-A No.6 pp.1495-1499
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- 2004/06/01
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- Special Section LETTER (Special Section on Papers Selected from 2003 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2003))
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Kazuyuki UENAGA, Shigenobu SASAKI, Ken-ichi TAKIZAWA, Jie ZHOU, Shogo MURAMATSU, Hisakazu KIKUCHI, "Online SNR and Fading Parameter Estimation for Parallel Combinatorial SS Systems in Nakagami Fading Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E87-A, no. 6, pp. 1495-1499, June 2004, doi: .
Abstract: This letter discusses the performance of online SNR estimation including fading parameter estimation for parallel combinatorial SS (PC/SS) systems. The PC/SS systems are partial-code-parallel multicode SS systems, which have high-rate data transmission capability. Nakagami-m distribution is assumed as fading channel model to cover a wide range of fading conditions. The SNR and fading parameter estimation considered in this letter is based on only a statistical ratio of correlator outputs at the receiver. Numerical results show that SNR estimation performance with fading parameter estimation is close to the one in the case of perfect fading parameter information, if the number of transmitting PN codes is less than a half of assigned PN codes.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e87-a_6_1495/_p
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@ARTICLE{e87-a_6_1495,
author={Kazuyuki UENAGA, Shigenobu SASAKI, Ken-ichi TAKIZAWA, Jie ZHOU, Shogo MURAMATSU, Hisakazu KIKUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Online SNR and Fading Parameter Estimation for Parallel Combinatorial SS Systems in Nakagami Fading Channels},
year={2004},
volume={E87-A},
number={6},
pages={1495-1499},
abstract={This letter discusses the performance of online SNR estimation including fading parameter estimation for parallel combinatorial SS (PC/SS) systems. The PC/SS systems are partial-code-parallel multicode SS systems, which have high-rate data transmission capability. Nakagami-m distribution is assumed as fading channel model to cover a wide range of fading conditions. The SNR and fading parameter estimation considered in this letter is based on only a statistical ratio of correlator outputs at the receiver. Numerical results show that SNR estimation performance with fading parameter estimation is close to the one in the case of perfect fading parameter information, if the number of transmitting PN codes is less than a half of assigned PN codes.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Online SNR and Fading Parameter Estimation for Parallel Combinatorial SS Systems in Nakagami Fading Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1495
EP - 1499
AU - Kazuyuki UENAGA
AU - Shigenobu SASAKI
AU - Ken-ichi TAKIZAWA
AU - Jie ZHOU
AU - Shogo MURAMATSU
AU - Hisakazu KIKUCHI
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E87-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2004
AB - This letter discusses the performance of online SNR estimation including fading parameter estimation for parallel combinatorial SS (PC/SS) systems. The PC/SS systems are partial-code-parallel multicode SS systems, which have high-rate data transmission capability. Nakagami-m distribution is assumed as fading channel model to cover a wide range of fading conditions. The SNR and fading parameter estimation considered in this letter is based on only a statistical ratio of correlator outputs at the receiver. Numerical results show that SNR estimation performance with fading parameter estimation is close to the one in the case of perfect fading parameter information, if the number of transmitting PN codes is less than a half of assigned PN codes.
ER -
English
