Marchese, M.; Wymeersch, H.; Spallaccini, P.; Savazzi, P. Progressive Inter-Path Interference Cancellation Algorithm for Channel Estimation Using Orthogonal Time–Frequency Space. Sensors2024, 24, 4414.
Marchese, M.; Wymeersch, H.; Spallaccini, P.; Savazzi, P. Progressive Inter-Path Interference Cancellation Algorithm for Channel Estimation Using Orthogonal Time–Frequency Space. Sensors 2024, 24, 4414.
Marchese, M.; Wymeersch, H.; Spallaccini, P.; Savazzi, P. Progressive Inter-Path Interference Cancellation Algorithm for Channel Estimation Using Orthogonal Time–Frequency Space. Sensors2024, 24, 4414.
Marchese, M.; Wymeersch, H.; Spallaccini, P.; Savazzi, P. Progressive Inter-Path Interference Cancellation Algorithm for Channel Estimation Using Orthogonal Time–Frequency Space. Sensors 2024, 24, 4414.
Abstract
Fractional delay-Doppler (DD) channel estimation in Orthogonal Time Frequency Space (OTFS) systems poses a significant challenge considering the severe effects of Inter-Path Interference (IPI). To this end, several algorithms have been extensively explored in literature for accurate low-complexity channel estimation in both integer and fractional DDs scenarios. In this work, we develop a variant of the state-of-the-art Delay-Doppler Inter-Path Interference Cancellation (DDIPIC) algorithm which progressively cancels the IPI as estimates are obtained. The key advantage of the proposed approach is that it requires only a final refinement procedure reducing the complexity of the algorithm. Specifically, the time difference in latency between the proposed approach and the DDIPIC algorithm is almost proportional to the square of the number of estimated paths. Numerical results show that the proposed algorithm outperforms the other channel estimation schemes achieving lower Normalized Mean Square Error (NMSE) and Bit Error Rate (BER).
Computer Science and Mathematics, Signal Processing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
