IEICE TRANSACTIONS on Fundamentals
Online SNR Estimation for Parallel Combinatorial SS Systems in Nakagami Fading Channels
Summary :
In this paper, an online SNR estimator is proposed for parallel combinatorial SS (PC/SS) systems in Nakagami fading channels. The PC/SS systems are called as partial-code-parallel multicode DS/SS systems, which have the higher-speed data transmission capability comparing with conventional multicode DS/SS systems referred to as all-code-parallel systems. We propose an SNR estimator based on a statistical ratio of correlator outputs at the receiver. The SNR at the correlator output is estimated through a simple polynomial from the statistical ratio. We investigate the SNR estimation accuracy in Nakagami fading channels through computer simulations. In addition, we apply it to the convolutional coded PC/SS systems with iterative demodulation and decoding to evaluate the estimation performance from the viewpoint of error rate. Numerical results show that the PC/SS systems with the proposed SNR estimator have superior estimation performance to conventional DS/SS systems. It is also shown that the bit error rate performance using our SNR estimation method is close to the performance with perfect knowledge of channel state information in Nakagami fading channels and correlated Rayleigh fading channels.
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- IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.12 pp.2847-2858
- Publication Date
- 2002/12/01
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- Type of Manuscript
- Special Section PAPER (Special Section on Spread Spectrum Techniques and Applications)
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Ken-ichi TAKIZAWA, Shigenobu SASAKI, Jie ZHOU, Shogo MURAMATSU, Hisakazu KIKUCHI, "Online SNR Estimation for Parallel Combinatorial SS Systems in Nakagami Fading Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 12, pp. 2847-2858, December 2002, doi: .
Abstract: In this paper, an online SNR estimator is proposed for parallel combinatorial SS (PC/SS) systems in Nakagami fading channels. The PC/SS systems are called as partial-code-parallel multicode DS/SS systems, which have the higher-speed data transmission capability comparing with conventional multicode DS/SS systems referred to as all-code-parallel systems. We propose an SNR estimator based on a statistical ratio of correlator outputs at the receiver. The SNR at the correlator output is estimated through a simple polynomial from the statistical ratio. We investigate the SNR estimation accuracy in Nakagami fading channels through computer simulations. In addition, we apply it to the convolutional coded PC/SS systems with iterative demodulation and decoding to evaluate the estimation performance from the viewpoint of error rate. Numerical results show that the PC/SS systems with the proposed SNR estimator have superior estimation performance to conventional DS/SS systems. It is also shown that the bit error rate performance using our SNR estimation method is close to the performance with perfect knowledge of channel state information in Nakagami fading channels and correlated Rayleigh fading channels.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_12_2847/_p
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@ARTICLE{e85-a_12_2847,
author={Ken-ichi TAKIZAWA, Shigenobu SASAKI, Jie ZHOU, Shogo MURAMATSU, Hisakazu KIKUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Online SNR Estimation for Parallel Combinatorial SS Systems in Nakagami Fading Channels},
year={2002},
volume={E85-A},
number={12},
pages={2847-2858},
abstract={In this paper, an online SNR estimator is proposed for parallel combinatorial SS (PC/SS) systems in Nakagami fading channels. The PC/SS systems are called as partial-code-parallel multicode DS/SS systems, which have the higher-speed data transmission capability comparing with conventional multicode DS/SS systems referred to as all-code-parallel systems. We propose an SNR estimator based on a statistical ratio of correlator outputs at the receiver. The SNR at the correlator output is estimated through a simple polynomial from the statistical ratio. We investigate the SNR estimation accuracy in Nakagami fading channels through computer simulations. In addition, we apply it to the convolutional coded PC/SS systems with iterative demodulation and decoding to evaluate the estimation performance from the viewpoint of error rate. Numerical results show that the PC/SS systems with the proposed SNR estimator have superior estimation performance to conventional DS/SS systems. It is also shown that the bit error rate performance using our SNR estimation method is close to the performance with perfect knowledge of channel state information in Nakagami fading channels and correlated Rayleigh fading channels.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Online SNR Estimation for Parallel Combinatorial SS Systems in Nakagami Fading Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2847
EP - 2858
AU - Ken-ichi TAKIZAWA
AU - Shigenobu SASAKI
AU - Jie ZHOU
AU - Shogo MURAMATSU
AU - Hisakazu KIKUCHI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2002
AB - In this paper, an online SNR estimator is proposed for parallel combinatorial SS (PC/SS) systems in Nakagami fading channels. The PC/SS systems are called as partial-code-parallel multicode DS/SS systems, which have the higher-speed data transmission capability comparing with conventional multicode DS/SS systems referred to as all-code-parallel systems. We propose an SNR estimator based on a statistical ratio of correlator outputs at the receiver. The SNR at the correlator output is estimated through a simple polynomial from the statistical ratio. We investigate the SNR estimation accuracy in Nakagami fading channels through computer simulations. In addition, we apply it to the convolutional coded PC/SS systems with iterative demodulation and decoding to evaluate the estimation performance from the viewpoint of error rate. Numerical results show that the PC/SS systems with the proposed SNR estimator have superior estimation performance to conventional DS/SS systems. It is also shown that the bit error rate performance using our SNR estimation method is close to the performance with perfect knowledge of channel state information in Nakagami fading channels and correlated Rayleigh fading channels.
ER -
English
