Denoising higher-order moments for blind digital modulation identification in multiple-antenna systems
Kharbech, Sofiane, Simon, Eric Pierre, Belazi, Akram, and Xiang, Wei (2020) Denoising higher-order moments for blind digital modulation identification in multiple-antenna systems. IEEE Wireless Communications Letters, 9 (6). pp. 765-769.
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Abstract
This letter proposes a new technique that substantially improves blind digital modulation identification (DMI) algorithms that are based on higher-order statistics (HOS). The proposed technique takes advantage of noise power estimation to make an offset on higher-order moments (HOM), thus getting an estimate of noise-free HOM. When tested for multiple-antenna systems, the proposed method outperforms other DMI algorithms, in terms of identification accuracy, that are based only on cumulants or do not consider HOM denoising, even for a receiver with impairments. The improvement is achieved with the same order of complexity of the common HOS-based DMI algorithms in the same context.
Item ID: | 67184 |
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Item Type: | Article (Research - C1) |
ISSN: | 2162-2345 |
Keywords: | Cognitive radio, denoising features, higher-order statistics, modulation identification, multiple-antenna systems |
Copyright Information: | © 2020 IEEE |
Funders: | Beijing Natural Science Foundation (BNSF) |
Projects and Grants: | BNSF Grant L182032 |
Date Deposited: | 11 May 2021 01:38 |
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