Adaptive F-FFT Demodulation for ICI Mitigation in Differential Underwater Acoustic OFDM Systems

TL;DR

This paper introduces an adaptive F-FFT demodulation method for differential OFDM in underwater acoustic channels, effectively mitigating ICI caused by Doppler shifts and outperforming classical methods.

Contribution

The paper proposes an adaptive fractional Fourier transform (A-FFT) with a coordinate descent-based estimation algorithm for improved ICI mitigation without additional pilots.

Findings

A-FFT significantly reduces MSE compared to F-FFT and P-FFT.

A-FFT effectively tracks Doppler fluctuations in underwater acoustic channels.

Simulation shows A-FFT outperforms classical methods at various Doppler factors and SNR levels.

Abstract

This paper addresses the problem of frequency-domain inter-carrier interference (ICI) mitigation for differential orthogonal frequency-division multiplexing (OFDM) systems. The classical fractional fast Fourier transform (F-FFT), adopting the fixed sampling interval, would suffer from the limited accuracy of ICI mitigation and low adaptability in dynamic Doppler spread. To target the above challenges, we propose an adaptive fractional Fourier transform (A-FFT) demodulation method, in which an estimation algorithm based on the coordinate descent approach is designed to compute the fiducial frequency offset without increasing pilots. By means of compensating ICI at fractions of the fiducial frequency offset adapted to the time-varying Doppler shift, the A-FFT has the capability of tracking Doppler fluctuations over the underwater acoustic channels, thus extending the application range of frequency-domain ICI mitigation. Simulation results show that the A-FFT is significantly superior to the existing classical methods, the partial fast Fourier transform (P-FFT) and the F-FFT, for both medium and high Doppler factors and large carrier numbers in terms of the mean squared error (MSE). Numerically, the MSE of the A-FFT is reduced by $\bf{39.88\%-72.14\%}$ compared to that of the F-FFT with the input signal-to-noise ratio ranging from 10 dB to 30 dB at a Doppler factor of $\bf{2.5\times 10^{-4}}$ and a carrier number of 1024, while the P-FFT even cannot work well.