Abstract
Orthogonal time frequency space (OTFS) modulation is a promising candidate to support reliable information transmission in high-mobility wireless communications. In this paper, we consider the channel estimation problem for OTFS in the presence of fractional Doppler. We first propose a statistical channel model based on the hidden Markov model (HMM) to characterize the structured sparsity of the effective delay-Doppler (DD) domain channel. The HMM prior is then incorporated with the unitary approximate message passing (UAMP) algorithm to solve the structured sparse channel estimation problem. Finally, simulation results verify that the proposed algorithm can achieve a significant gain over various state-of-art algorithms.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022 |
| Publisher | IEEE |
| Pages | 304-308 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781665459778 |
| ISBN (Print) | 9781665459785 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022 - Sanshui, Foshan, China Duration: 11 Aug 2022 → 13 Aug 2022 |
Conference
| Conference | 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022 |
|---|---|
| Country/Territory | China |
| City | Sanshui, Foshan |
| Period | 11/08/22 → 13/08/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- chan-nel estimation
- hidden Markov model (HMM)
- orthogonal time frequency space (OTFS)
- unitary approxi-mate message passing (UAMP)