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Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein Method.

Tongtong Xu1, Zheng Xiang1, Hua Yang2

  • 1Department of Telecommunication Engineering, Xidian University, Xi'an, China.

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Summary
This summary is machine-generated.

This study introduces a new blind equalization method combining modified constant modulus algorithm and decision-directed scheme with the Barzilai-Borwein method to improve wireless communication data anti-interference and signal recovery.

Keywords:
Barzilai-Borwein methodblind equalizationdecision-directedmodified constant modulus algorithmrobot technology

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Telecommunications

Background:

  • Wireless communication systems face challenges with data anti-interference due to multi-path propagation causing Inter-symbol Interference (ISI).
  • Blind equalization is crucial for recovering transmitted signals without pilot signals in noisy wireless channels.

Purpose of the Study:

  • To propose a novel blind equalization algorithm for wireless communication systems (WCS).
  • To enhance data anti-interference and signal recovery in wireless communications.

Main Methods:

  • A concurrent modified constant modulus algorithm (MCMA) and decision-directed scheme (DDS) were developed.
  • The Barzilai-Borwein (BB) method was integrated to optimize the step size of the DD equalizer.
  • The algorithm combines existing blind equalization techniques with the BB optimization method.

Main Results:

  • Theoretical analysis indicated rapid convergence of the proposed algorithm.
  • Simulations demonstrated improved equalization performance compared to existing methods.
  • The concurrent MCMA and BB-optimized DDS effectively mitigated Inter-symbol Interference.

Conclusions:

  • The proposed blind equalization technique offers enhanced performance for wireless communication systems.
  • Integrating the Barzilai-Borwein method significantly improves the convergence and effectiveness of blind equalization.
  • This approach provides a robust solution for data recovery in challenging wireless environments.