A Novel Cross-Domain Channel Estimation Scheme for OFDM
Mingcheng Nie, Ruoxi Chong, Shuangyang Li, Weijie Yuan, Derrick Wing Kwan Ng, Michail Matthaiou, Giuseppe Caire, Yonghui Li

TL;DR
This paper introduces a cross-domain channel estimation method for OFDM that exploits delay-Doppler domain characteristics, improving estimation accuracy in high mobility scenarios through a novel 2D twisted-convolution approach and sparse recovery techniques.
Contribution
The paper presents a new cross-domain channel estimation algorithm for OFDM that transforms pilot sequences into the delay-Doppler domain and applies a 2D twisted-convolution for better accuracy.
Findings
Significant performance improvement over conventional methods in high mobility conditions.
Effective sparse signal recovery in the time-frequency domain.
Low-complexity $$-regularized least squares estimator enhances practicality.
Abstract
In this paper, we propose a novel cross-domain channel estimation (CDCE) algorithm for orthogonal frequency division multiplexing (OFDM) systems, leveraging the unique characteristics of the delay-Doppler (DD) domain channel. Specifically, the proposed algorithm transforms the time-frequency (TF) domain pilot sequence of OFDM into the DD domain and applies a two-dimensional (2D) twisted-convolution for acquiring a coarse estimation of the underlying channel delay and Doppler. Then, the OFDM channel estimation is formulated as a sparse signal recovery problem in the TF domain according to the dictionary derived based on the obtained delay and Doppler estimates. Furthermore, a low-complexity -regularized least-square estimator is proposed to effectively solve this problem. Moreover, we further develop a performance analysis framework of the proposed scheme based on the ambiguity…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Sparse and Compressive Sensing Techniques · PAPR reduction in OFDM
