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Blind parameter estimation of M-FSK signals in the presence of alpha-stable noise
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Zhang, Junlin, Zhao, Nan, Liu, Mingqian, Qian, Cheng, Chen, Yunfei, Gong, Fengkui and Yu, F. Richard (2020) Blind parameter estimation of M-FSK signals in the presence of alpha-stable noise. IEEE Transactions on Communications . (In Press)
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Abstract
Blind estimation of parameters for M-ary frequency-shift-keying (M-FSK) signals is great of importance in intelligent receivers. Many existing algorithms have assumed white Gaussian noise. However, their performance severely degrades when grossly corrupted data, i.e., outliers, exist. This paper solves this issue by developing a novel approach for parameter estimation of M-FSK signals in the presence of alpha-stable noise. Specifically, the proposed method exploits the generalized first- and second-order cyclostationarity of M-FSK signals with alpha-stable noise, which results in closed-form solutions for unknown parameters in both time and frequency domains. As a merit, it is computationally efficient and thus can be used for signal preprocessing, symbol timing estimation, signal and noise power estimation. Furthermore, substantial theoretical analysis on the performance of the proposed approach is provided. Simulations demonstrate that the proposed method is robust to alpha-stable noise and that it outperforms the state-of-the-art algorithms in many challenging scenarios.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
| Divisions: | Faculty of Science > Engineering | ||||||
| Library of Congress Subject Headings (LCSH): | Signal processing, Signal processing -- Digital techniques, Electromagnetic noise, Radio frequency modulation | ||||||
| Journal or Publication Title: | IEEE Transactions on Communications | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 0090-6778 | ||||||
| Official Date: | 2020 | ||||||
| Dates: |
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| Date of first compliant deposit: | 10 September 2020 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | In Press | ||||||
| Publisher Statement: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
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