OTFS-inspired joint channel and data estimation for OFDM
摘要
The orthogonal frequency division multiplexing (OFDM) is a prominent modulation technique used in modern communication systems. In OFDM, the wireless channel is modeled as an inter-symbol interference (ISI) channel, not considering the channel reflectors’ Doppler component. This results in serious performance degradation in doubly spread multipath channels. This paper proposes a channel estimation scheme for OFDM to estimate the delay-Doppler (DD) domain, thus overcoming this shortcoming. The proposed technique is inspired by the orthogonal time frequency space (OTFS) waveform structure, a two-dimensional modulation technique designed to handle wireless communication in high-mobility scenarios. The principles of convex optimization and active constellation extension (ACE) optimize the signal in both the time-frequency (TF) and DD domains. The proposed approach strengthens OFDM performance against mobility-induced impairments, thereby enabling OFDM to achieve BER performance comparable to OTFS in high-mobility scenarios. A comparative study of the proposed method with three popular techniques for channel estimation in OTFS, namely impulse-based estimation, embedded pilot-based estimation, and orthogonal matching pursuit (OMP)-based estimation was performed. The efficacy of the proposed technique is illustrated with Monte Carlo simulations.