Denoising Higher-order Moments for Blind Digital Modulation Identification in Multiple-antenna Systems

TL;DR

This paper introduces a noise-aware denoising technique for higher-order moments that significantly enhances blind digital modulation identification accuracy in multiple-antenna systems without increasing computational complexity.

Contribution

It presents a novel HOM denoising method leveraging noise power estimation, improving DMI performance over existing cumulant-based approaches in multi-antenna scenarios.

Findings

Outperforms existing DMI algorithms in accuracy

Effective even with receiver impairments

Maintains same computational complexity

Abstract

The paper 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.