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| Content Provider | IET Digital Library |
|---|---|
| Author | Dai, Jingke Chen, Xiao Zhang, Fenggan Kang, Kai |
| Abstract | The asymptotic performance and optimisation of systematic fountain codes are investigated on Rayleigh fading and Nakagami fading channels. Firstly, the closed-form bit error rates (BER) of systematic LT (SLT) codes and systematic Raptor (SR) codes are derived based on Gaussian approximation method, the results of which are close to that obtained by discretised density evolution. Secondly, a novel optimisation model combining linear programming and theoretical error probability is proposed to design the degree distributions of SLT/SR codes on fading channels. The simulation results show that the optimised codes provide better BER performance than the codes originally designed for binary erasure channel and additive white Gaussian noise channel. Moreover, the proposed method is easily extended to Rician fading channel and unfading channel. |
| Starting Page | 3369 |
| Ending Page | 3376 |
| Page Count | 8 |
| ISSN | 17518628 |
| Volume Number | 13 |
| e-ISSN | 17518636 |
| Issue Number | Issue 20, Dec (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/13/20 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0426 |
| Journal | IET Communications |
| Publisher Date | 2019-09-20 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Additive White Gaussian Noise Channel Asymptotic Performance AWGN Channel BER Performance Binary Erasure Channel Channel Coding Closed-form Bit Error Rates Code Error Statistics Fading Channel Gaussian Approximation Method Linear Programming Nakagami Channel Novel Optimisation Model Optimisation Design Optimised Code Radio Link And Equipment Rayleigh Channel Rician Channel Statistics Systematic Fountain Code Systematic LT Code Systematic Raptor Code Theoretical Error Probability Unfading Channel |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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