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Article Dans Une Revue IEEE Wireless Communications Letters Année : 2020

Denoising higher-order moments for blind digital modulation identification in multiple-antenna systems

Résumé

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.

Dates et versions

hal-03321568 , version 1 (17-08-2021)

Identifiants

Citer

Sofiane Kharbech, Eric Pierre Simon, Akram Belazi, Wei Xiang. Denoising higher-order moments for blind digital modulation identification in multiple-antenna systems. IEEE Wireless Communications Letters, 2020, 9 (6), pp.765-769. ⟨10.1109/LWC.2020.2969157⟩. ⟨hal-03321568⟩
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