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Estimation and analysis of propagation channels based on stochastic methods

This project focuses on satellite communication and the analysis of propagation channels based on stochastic methods. It covers topics such as multi-path environment, the Rayleigh channel model, PDF/CDF of electric field, selection diversity, and more. The results obtained from simulations match well with theoretical results.

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Estimation and analysis of propagation channels based on stochastic methods

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  1. Estimation and analysis of propagation channels based on stochastic methods BinhTran – Manoj Adhidari ECEn 670 - Project Brigham Young University Binh Tran

  2. INTRODUCTION • Satellite communication • Applications • Multi paths environment • Rayleigh channel model • pdf/ CDF of E field • pdf/CDF of SNR • Single Tx, single Rx • Single Tx, multiple Rx • Selection Diversity • Future Work Binh - Manoj

  3. Satellite communication • Satellite communication: Wireless form of communication between two satellites satellite and multiple antennas • Applications: Wide area network communications, weather forecasting, radio communication, internet access, global position system • This project: Satellite is the fixed transmitter Dish antenna as a moving receiver Array antenna at receiver Scatters randomly located between Tx/Rx Signal uncorrelated Binh - Manoj

  4. Propagation Channels • Multipath Effects: Reflection from earth Blockage or shadowing Diffraction Interference due to multipath • Propagation Chanel: Characterize multipath effects Long term averaged signal reduction Distance between the Tx and Rx • Rayleigh Channel Model: No strong line of sight between Tx and Rx Uncorrelated signals The reflections add coherently at the receiver Fading phase differences between propagation paths Pdf of E is Rayleigh distribution Binh - Manoj

  5. Single Transmitter, Single Receiver • SNR: Mean SNR Pdf of SNR CDF of SNR More scatters, more loss More dense (small variance), more loss • Rayleigh Model : pdf of electric field CDF of electric field Electric field model Nscat = 10 R = 100 m Var= 10*R Binh - Manoj

  6. Selection Diversity One branch the probability of the received SNR Probability that all M branches will have SNR less than threshold Average SNR Nscat = 50 R = 100 m Var= 10*R Higher the number of element, antenna steeper the slope of the CDF Higher number of antenna, the probability of getting SNR is better Binh - Manoj

  7. Single Transmitter, Multiple Receivers More antenna at receiver, better SNR Improvement is not linear with increasing number of receiver antennas Binh - Manoj

  8. CONCLUSION Raleigh Fading occurs in a no line of sight propagation environment Various probability distributions were plotted which characterized the SNR SNR for multiple receiver system was also obtained and discussed The results obtained from simulation matched well with the theoretical results Depending on different applications, assumptions and models were used This model helps us analyze and predict the performance of the system The future work will focus on applying different algorithms to estimate the propagation channels and steering beam pattern for maximum SNR Binh - Manoj

  9. THANK YOU FOR YOUR TIME • Acknowledgements: Dr. Mazzeo for his help and guidance Classmates for their opinions, suggestions and discussions Binh - Manoj

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