Reduced-Overhead Channel Estimation and Iterative Detection of FTN Signaling Based on Pilot Superimposition and Spectral Interference Alignment

TL;DR

This paper introduces a low-overhead channel estimation method for FTN signaling using pilot superimposition and spectral interference alignment, significantly reducing overhead and complexity while maintaining estimation accuracy.

Contribution

It presents a novel CE scheme that employs pilot superimposition and spectral interference alignment, reducing overhead by 50% and eliminating interference effects.

Findings

Theoretical MSE of the proposed CE is derived.

The scheme achieves 50% reduction in overhead.

Interference is effectively eliminated by spectral interference alignment.

Abstract

This paper proposes low-overhead and low-complexity channel estimation (CE) of frequency-domain equalization aided faster-than-Nyquist (FTN) signaling. In the proposed CE scheme, the concept of pilot superimposition is employed, where the FTN block is designed to superimpose pilot symbols with information symbols, and thus, no dedicated time and frequency resources nor guard bands are required, resulting in a 50% reduction of the overhead. Furthermore, interference induced by the pilot superimposition is eliminated by invoking a novel scheme, referred to as spectral interference alignment, where a data-dependent sequence is subtracted from transmitted information symbols. The theoretical mean-square error (MSE) of the proposed CE is derived, which verifies that the MSE is no longer affected by interference due to the pilot superimposition.