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Beginnt 5 June 2026 13:03

Endet 5 June 2026

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Estimation of Channel Frequency Response in an IEEE 802.11ax SISO-OFDM Channel - Experiment 4

Join us in an in-depth exploration of channel frequency response estimation in IEEE 802.11ax SISO-OFDM channels. This experiment focuses on employing BPSK modulation alongside L-LTF fields and uses Least Squares methods to provide accurate estimations. The session includes a comprehensive MATLAB implementation and a detailed analysis of simul.
Centre for Networked Intelligence, IISc via YouTube

Centre for Networked Intelligence, IISc

6076 Kurse


29 minutes

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Übersicht

Join us in an in-depth exploration of channel frequency response estimation in IEEE 802.11ax SISO-OFDM channels. This experiment focuses on employing BPSK modulation alongside L-LTF fields and uses Least Squares methods to provide accurate estimations.

The session includes a comprehensive MATLAB implementation and a detailed analysis of simulation results. Perfect for enthusiasts in artificial intelligence and computer science courses.

Lehrplan

  • Introduction to IEEE 802.11ax and SISO-OFDM
  • Overview of IEEE 802.11ax technology
    Fundamentals of SISO-OFDM systems
  • BPSK Modulation Principles
  • Basics of BPSK modulation
    Application in OFDM systems
  • Understanding Channel Frequency Response
  • Definition and importance
    Role in wireless communication
  • L-LTF Fields in IEEE 802.11ax
  • Structure and purpose of L-LTF
    Utilization in channel estimation
  • Least Squares Method for Channel Estimation
  • Introduction to Least Squares
    Application in OFDM channel estimation
  • MATLAB Implementation
  • Setting up the simulation environment
    Step-by-step implementation of channel estimation
    Code walkthrough and explanation
  • Simulation Result Analysis
  • Evaluating estimation accuracy
    Discussion of results and insights
  • Practical Considerations and Challenges
  • Real-world channel estimation challenges
    Approaches to optimize accuracy and efficiency
  • Conclusion and Future Work
  • Summary of key learning points
    Potential advancements in channel estimation techniques
  • References and Further Reading
  • Suggested articles and books for advanced learning
    Websites and online resources for continued exploration

Fachgebiete

Computer Science