Estimation of Rice factor ratio for doubly selective fading channels
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 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.
Rice factor ratio, Rician doubly selective fading channels, second-order and fourth-order statistics
31330-31340
Wang, Junfeng
9031b7ba-b852-4f8d-9741-db3a4afc69de
Cui, Yue
e29f71e9-9d32-488f-a4af-0aaf45c23aa3
Jiang, Hao
766e403b-02f5-439f-85a7-debcfcfaa517
Pan, Gaofeng
2c3c7fed-1612-4e22-bb23-5940b4dfe33c
Sun, Haixin
7af149b8-4f08-4068-8662-964388b2715d
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
Esmaiel, Hamada
2413020b-5b14-4923-976c-c7eea05ce3a8
11 February 2020
Wang, Junfeng
9031b7ba-b852-4f8d-9741-db3a4afc69de
Cui, Yue
e29f71e9-9d32-488f-a4af-0aaf45c23aa3
Jiang, Hao
766e403b-02f5-439f-85a7-debcfcfaa517
Pan, Gaofeng
2c3c7fed-1612-4e22-bb23-5940b4dfe33c
Sun, Haixin
7af149b8-4f08-4068-8662-964388b2715d
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
Esmaiel, Hamada
2413020b-5b14-4923-976c-c7eea05ce3a8
Wang, Junfeng, Cui, Yue, Jiang, Hao, Pan, Gaofeng, Sun, Haixin, Li, Jianghui and Esmaiel, Hamada
(2020)
Estimation of Rice factor ratio for doubly selective fading channels.
IEEE Access, 8, , [8993829].
(doi:10.1109/ACCESS.2020.2973180).
Abstract
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.
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More information
Accepted/In Press date: 30 January 2020
Published date: 11 February 2020
Additional Information:
Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61671394 and Grant 61971362, in part by the National Key Research and Development Program of China under Grant 2018YFC0809200, in part by the Science and Technology Program of Shenzhen, China, under Grant JSGG20170414090428464, and in part by the European Union’s Horizon 2020 Research and Innovation Program under Grant 654462 (STEMM-CCS).
Publisher Copyright:
© 2013 IEEE.
Keywords:
Rice factor ratio, Rician doubly selective fading channels, second-order and fourth-order statistics
Identifiers
Local EPrints ID: 441287
URI: http://eprints.soton.ac.uk/id/eprint/441287
ISSN: 2169-3536
PURE UUID: e2effc0a-a260-4722-8a81-d81a41798a9c
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Date deposited: 08 Jun 2020 16:32
Last modified: 16 Mar 2024 08:04
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Contributors
Author:
Junfeng Wang
Author:
Yue Cui
Author:
Hao Jiang
Author:
Gaofeng Pan
Author:
Haixin Sun
Author:
Hamada Esmaiel
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