Denoising Higher-Order Moments for Blind Digital Modulation Identification in Multiple-Antenna Systems Article Swipe

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

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1109/lwc.2020.2969157 · OA: W3002740141

The paper proposes a new technique that substantially improves blind digital\nmodulation identification (DMI) algorithms that are based on higher-order\nstatistics (HOS). The proposed technique takes advantage of noise power\nestimation to make an offset on higher-order moments (HOM), thus getting an\nestimate of noise-free HOM. When tested for multiple-antenna systems, the\nproposed method outperforms other DMI algorithms, in terms of identification\naccuracy, that are based only on cumulants or do not consider HOM denoising,\neven for a receiver with impairments. The improvement is achieved with the same\norder of complexity of the common HOS-based DMI algorithms in the same context.\n