Training-based channel estimation and de-noising for the UMTS TDD mode

نویسندگان

  • Samson Lasaulce
  • Philippe Loubaton
  • Eric Moulines
  • Soodesh Buljore
چکیده

In this paper we provide a theoretical framework of de-noising for UMTS TDD-like mobile radio communication systems. Based on the Bayesian approach, we show how to denoise channel estimates provided by the Training-based estimation procedure. The proposed schemes allow not only for eliminating major drawbacks of hard thresholding but also for a low complexity implementation.

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تاریخ انتشار 2001