Papr Reduction Filter Design for Ofdm Signals with the Assistance of Machine Learning

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details

Abstract

本計畫將提出使用 PAPR 抑制濾波器的設計方法。目前已確定該方法可以不需要傳送 side information (SI),又因為濾波器的效果可以和通道結合成為等效的通道響應,大部分現有的 OFDM 系統的接收端都可以直接使用。能夠和現有大多數OFDM 系統直接相容是PAPR 抑制濾波器最大的優點。計畫將專注在濾波器的設計方法,並且導入機器學習或深度學習等方法協助濾波器系數的最佳化。

Project IDs

Project ID:PB11207-4414
External Project ID:NSTC112-2221-E182-041
StatusActive
Effective start/end date01/08/2331/07/24

Keywords

  • orthogonal frequency-division multiplexing system
  • peak-to-average power ratio
  • adaptive filter
  • machine learning
  • deep learning
  • differential evolution

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