Channel Estimation for Pilot-Aided MIMO-OCDM Transmissions
Orthogonal chirp division multiplexing (OCDM) has emerged as an attractive modulation scheme due to its double-spreading property in both the time and frequency domains. Meanwhile, it is well known that multiple-input multiple-output (MIMO) techniques enhance spatial diversity to combat channel fading. Thus, MIMO-OCDM is promising for reliable high rate wireless communications. When deploying MIMO-OCDM systems, most studies assume perfect channel knowledge at the receivers. However, channel estimation is crucial and should be considered in the system design. In this paper, we apply Alamouti code for MIMO-OCDM over frequency-selective fading channels. In order to facilitate the channel estimation, three pilot-aided transmission (PAT) schemes are proposed, where the pilots are inserted in the frequency, time, and Fresnel domains, respectively. The first two schemes enjoy higher bandwidth efficiency, while the third one is more resistant to burst interference. The channel estimation methods and the optimal PAT designs are developed accordingly for these PAT schemes. Simulation results corroborate the superior performance of the proposed MIMO-OCDM system and channel estimation methods.
Authors
- Xiaoli Ma (ORCID: https://orcid.org/0000-0002-3076-2589)
- Rongxin Zhang (ORCID: https://orcid.org/0000-0002-0664-294X)
- Yiyin Wang (ORCID: https://orcid.org/0000-0002-4464-6589)
- Lingya Liu (ORCID: https://orcid.org/0000-0002-4877-5951)
- D. Lu (ORCID: https://orcid.org/0009-0006-1229-5848)
Institutions
- Georgia Institute of Technology (US)
- Shanghai Jiao Tong University (CN)
- Xiamen University (CN)
- East China Normal University (CN)
- Xiamen University of Technology (CN)
- Shanghai Maritime University (CN)
Publication Details
- Journal
- IEEE Transactions on Communications
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1109/tcomm.2025.3562365
- Citations
- 4
- Primary Topic
- graph theory and CDMA systems
- Type
- article
- Field-Weighted Citation Impact
- 2.92
Funders
- National Natural Science Foundation of China
- National Mobile Communications Research Laboratory, Southeast University