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

Kharbech, Sofiane;Simon, Eric Pierre;Belazi, Akram;Xiang, Wei

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.

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IEEE Wireless Communications Letters

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2162-2345

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Institute of Electrical and Electronics Engineers

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DOI

10.1109/LWC.2020.2969157