Estimation of Rice Factor Ratio for Doubly Selective Fading Channels
In wireless communication systems, Rice factor ratio (RFR) defined as K/(1 + K) is a key parameter not only to evaluate the quality of communication channel since it can reveal the severity of the small-scale fading, but also to be employed as a priori information for estimation of other parameters...
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doaj-3548a12f5f804c6bba7c958459fcf5352021-03-30T01:26:23ZengIEEEIEEE Access2169-35362020-01-018313303134010.1109/ACCESS.2020.29731808993829Estimation of Rice Factor Ratio for Doubly Selective Fading ChannelsJunfeng Wang0https://orcid.org/0000-0003-0837-7577Yue Cui1https://orcid.org/0000-0001-8912-3573Hao Jiang2https://orcid.org/0000-0002-6757-4231Gaofeng Pan3https://orcid.org/0000-0003-1008-5717Haixin Sun4https://orcid.org/0000-0002-6876-2939Jianghui Li5https://orcid.org/0000-0002-2956-5940Hamada Esmaiel6https://orcid.org/0000-0001-7317-8908School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, ChinaCollege of Computer and Information Engineering, Tianjin Normal University, Tianjin, ChinaCollege of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, ChinaCEMSE Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaSchool of Information Science and Engineering, Xiamen University, Xiamen, ChinaInstitute of Sound and Vibration Research, University of Southampton, Southampton, U.K.Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, EgyptIn wireless communication systems, Rice factor ratio (RFR) defined as K/(1 + K) is a key parameter not only to evaluate the quality of communication channel since it can reveal the severity of the small-scale fading, but also to be employed as a priori information for estimation of other parameters such as frequency. Consequently, its estimation is important for a variety of wireless application scenarios. In this paper, we propose an estimation algorithm on the RFR for the received signals that are disturbed by the Rician doubly selective fading channels and additive noise. During the estimation periods, we initially utilize the known signals to multiply the received signals. Second-order and fourth-order statistics are then employed to further deal with the processed signals mentioned above, which disposes of influence of some unnecessary parameters, e.g., indistinguishable multipaths, maximum Doppler shift, Doppler shift, and noise variance. Finally, a useful expression on the RFR estimation is derived for the Rician frequency selective fast fading channels by flexibly mathematical calculation. Furthermore, the presented method only uses the maximum estimation values of the second-order and fourth-order statistics defined in this paper, which can reduce the computational complexity. Importantly, the investigated scheme is robust to the signal-to-noise ratio over 0 dB and frequency offset (maximum Doppler shift and Doppler shift), and shows a slight improvement on the estimation performance with an increase of the aided data length. The performance and benefits of the proposed approach are verified and evaluated through computer simulations.https://ieeexplore.ieee.org/document/8993829/Rice factor ratioRician doubly selective fading channelssecond-order and fourth-order statistics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Junfeng Wang Yue Cui Hao Jiang Gaofeng Pan Haixin Sun Jianghui Li Hamada Esmaiel |
spellingShingle |
Junfeng Wang Yue Cui Hao Jiang Gaofeng Pan Haixin Sun Jianghui Li Hamada Esmaiel Estimation of Rice Factor Ratio for Doubly Selective Fading Channels IEEE Access Rice factor ratio Rician doubly selective fading channels second-order and fourth-order statistics |
author_facet |
Junfeng Wang Yue Cui Hao Jiang Gaofeng Pan Haixin Sun Jianghui Li Hamada Esmaiel |
author_sort |
Junfeng Wang |
title |
Estimation of Rice Factor Ratio for Doubly Selective Fading Channels |
title_short |
Estimation of Rice Factor Ratio for Doubly Selective Fading Channels |
title_full |
Estimation of Rice Factor Ratio for Doubly Selective Fading Channels |
title_fullStr |
Estimation of Rice Factor Ratio for Doubly Selective Fading Channels |
title_full_unstemmed |
Estimation of Rice Factor Ratio for Doubly Selective Fading Channels |
title_sort |
estimation of rice factor ratio for doubly selective fading channels |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
In wireless communication systems, Rice factor ratio (RFR) defined as K/(1 + K) is a key parameter not only to evaluate the quality of communication channel since it can reveal the severity of the small-scale fading, but also to be employed as a priori information for estimation of other parameters such as frequency. Consequently, its estimation is important for a variety of wireless application scenarios. In this paper, we propose an estimation algorithm on the RFR for the received signals that are disturbed by the Rician doubly selective fading channels and additive noise. During the estimation periods, we initially utilize the known signals to multiply the received signals. Second-order and fourth-order statistics are then employed to further deal with the processed signals mentioned above, which disposes of influence of some unnecessary parameters, e.g., indistinguishable multipaths, maximum Doppler shift, Doppler shift, and noise variance. Finally, a useful expression on the RFR estimation is derived for the Rician frequency selective fast fading channels by flexibly mathematical calculation. Furthermore, the presented method only uses the maximum estimation values of the second-order and fourth-order statistics defined in this paper, which can reduce the computational complexity. Importantly, the investigated scheme is robust to the signal-to-noise ratio over 0 dB and frequency offset (maximum Doppler shift and Doppler shift), and shows a slight improvement on the estimation performance with an increase of the aided data length. The performance and benefits of the proposed approach are verified and evaluated through computer simulations. |
topic |
Rice factor ratio Rician doubly selective fading channels second-order and fourth-order statistics |
url |
https://ieeexplore.ieee.org/document/8993829/ |
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