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Performance analysis of polar-code transmission experiments over 7.8-km terrestrial free-space optical link using channel equalization
- Source :
- International Conference on Space Optics — ICSO 2020.
- Publication Year :
- 2021
- Publisher :
- SPIE, 2021.
-
Abstract
- Satellite laser communication is a promising solution to satisfy the increasing demand for high-capacity wireless communications. Satellite laser communication has several advantages over its radio frequency counterparts, such as a higher capacity with a broader bandwidth and transmission security provided by highly directional laser beams. However, the received optical power fluctuations induced by atmospheric scintillation cause burst errors, requiring the employment of high-performance error correction codes, such as turbo or low-density parity check (LDPC) codes. Recently, polar code has been attracting significant attention, primarily because of its lower encoding and decoding computational complexity and its high performance, reaching the Shannon limit. We have reported a long-distance experiment using 7.8-km terrestrial free-space optical (FSO) communication links and compared the performance of polar and LDPC codes. Our experimental results revealed the advantage of polar codes over LDPC codes when channel state information (CSI) was not available. In FSO communications suffering from atmospheric fading, it is known that we can enhance the error-correction performance of these codes by utilizing a channel equalization technique based on the estimated CSI. In this study, we present the results of long-distance transmission experiments using polar codes with channel equalization. As a result, equalization improves the error-correction performance. Moreover, even with channel equalization, the block error rate of polar codes is better than that of LDPC codes, as in our previous report.
- Subjects :
- Noisy-channel coding theorem
Transmission (telecommunications)
Polar code
Channel state information
Computer science
Electronic engineering
Fading
Data_CODINGANDINFORMATIONTHEORY
Low-density parity-check code
Error detection and correction
Decoding methods
Computer Science::Information Theory
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- International Conference on Space Optics — ICSO 2020
- Accession number :
- edsair.doi...........03a196cfe6c9def3a8cf80b4b0ea9e85