Abstract
This paper introduces a new semi-blind single in-put multiple output (SIMO) channel estimation algorithm. The algorithm exploits both the training-based samples and the received samples to estimate the channel state information. The structure-subspace blind method, which uses the inherent Toeplitz structure that exists in many systems, combined with the least squares approach are used. The proposed algorithm is tested via simulation and showed an improved performance.
Original language | English |
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Title of host publication | ICCE 2022 - 2022 IEEE 9th International Conference on Communications and Electronics |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 295-299 |
Number of pages | 5 |
ISBN (Electronic) | 9781665497442 |
DOIs | |
State | Published - 2022 |
Event | 9th IEEE International Conference on Communications and Electronics, ICCE 2022 - Nha Trang City, Viet Nam Duration: 27 Jul 2022 → 29 Jul 2022 |
Publication series
Name | ICCE 2022 - 2022 IEEE 9th International Conference on Communications and Electronics |
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Conference
Conference | 9th IEEE International Conference on Communications and Electronics, ICCE 2022 |
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Country/Territory | Viet Nam |
City | Nha Trang City |
Period | 27/07/22 → 29/07/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- SIMO
- Semi-Blind
- Structured Subspace
- System Identification
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Signal Processing
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Instrumentation