PAPR reduction of OFDM signal by neural networks without side information and its FPGA implementation
PAPR reduction of OFDM signal by neural networks without side information and its FPGA implementation
复制标题
无边信息神经网络降低 OFDM 信号 PAPR 及其 FPGA 实现
DOI：
10.1002/ecj.10081
复制
发表时间：
2008
影响因子：
0.3
通讯作者：
K. Yamashita
中科院分区：
文献类型：
--
作者：
M. Ohta;Y. Ueda;K. Yamashita
正交频分复用（OFDM）的一个主要缺点是发送信号的高峰均功率比（PAPR）。为了降低OFDM发射机中的峰均比问题，提出了利用神经网络降低峰均比的技术。这些技术需要从发射机向接收机发送辅助信息，以便从接收信号中恢复原始数据符号。本文提出了一种降低OFDM信号峰均比的新方法。所提出的技术基于音调注入（TI），并且不使用从发射机发送到接收机的任何边信息。此外，所提出的模型是用VHDL设计的FPGA器件，我们报告的性能评估。© 2008 Wiley Periodicals，Inc. Electron Comm Jpn，91（4）：52-60，2008;在线发表于Wiley InterScience（www.interscience.wiley.com）。DOI 10.1002/ecj.10081
A major drawback of orthogonal frequency division multiplexing (OFDM) is the high peak-to-average power ratio (PAPR) of the transmitted signal. PAPR reduction techniques by using neural networks have been proposed to reduce the PAPR problem in OFDM transmitter. These techniques require side information to be transmitted from the transmitter to the receiver in order to recover the original data symbol from the receive signal. In this paper, we propose a novel technique to reduce PAPR of OFDM signal. The proposed technique is based on tone injection (TI) and does not use any side information to be transmitted from the transmitter to the receiver. Moreover, the proposed model is designed with VHDL for an FPGA device, and we report evaluation of the performance. © 2008 Wiley Periodicals, Inc. Electron Comm Jpn, 91(4): 52–60, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecj.10081