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Coarse frame synchronization simulation

This simulation study, guided by professors Huang Wen-jie and Gao Yong-an, evaluates coarse frame synchronization techniques using Minimum Mean Square Error (MMSE), Minimum Likelihood Sequence Estimation (MLSE), and Minimum Conditional Sequence Estimation (MCSE). The simulation conditions demonstrate a Signal-to-Noise Ratio (S/N) of 3.9964, with specific results for various Clock Frequency Offsets (CFO). The findings indicate that MLSE outperforms MMSE and MCSE in accuracy, with error distribution concentrated around zero, demonstrating superior position estimation effectiveness across 500 trials.

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Coarse frame synchronization simulation

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  1. Coarse frame synchronization simulation 指導老師:黃文傑 高永安 姓名:吳政修

  2. outline • Methods • Simulation

  3. MMSE

  4. 11

  5. MLSE

  6. MCSE • 111

  7. Simulation • Condition • Signal=0.1085 • Noise=0.0271 • S/N=3.9964 • S/(S+N)=0.7999

  8. 正確位置是y(40), CFO=0.1 • 11

  9. 11

  10. 11

  11. 試驗500次 • 11

  12. 11

  13. 11

  14. CFO=0.5

  15. 正確的位置y(42)CFO=0.1

  16. 正確位置y(37)CFO=0.1

  17. Conclusion • MMSE與MLSE比MCSE來的要準確. • 由上面的圖中可以發現MLSE比MMSE誤差分佈較集中於零點.

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