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Clipping-based PAPR reduction of optical OFDM signals using compressive sensing: Bayesian signal reconstruction approach
Optical Fiber Technology ( IF 2.6 ) Pub Date : 2021-04-07 , DOI: 10.1016/j.yofte.2021.102527
Ghanbar Azarnia , Abbas Ali Sharifi

Peak-to-average power ratio (PAPR) is the main challenge of the conventional and optical orthogonal frequency division multiplexing (OFDM) systems. In this paper, we implement the clipping technique to reduce the high PAPR of DC-biased optical OFDM (DCO-OFDM) signals. Then, the clipped peaks are sent to the receiver as extra data because of possessing valuable information to reconstruct the original transmission signal. Since the subtraction of the original and clipped signal is sparse, we compress the signal using the compressive sensing approach at the transmitter and the Bayesian algorithm at the receiver to reconstruct the original signal. Computer simulation results show the PAPR reduction performance of the clipping technique and the effectiveness of the suggested reconstruction approach in terms of bit error rate performance.



中文翻译:

使用压缩感测的基于削波的光OFDM信号PAPR降低:贝叶斯信号重构方法

峰均功率比(PAPR)是常规和光学正交频分复用(OFDM)系统的主要挑战。在本文中,我们实现了削波技术以降低DC偏置光OFDM(DCO-OFDM)信号的高PAPR。然后,由于拥有可重构原始传输信号的有价值的信息,削波后的峰值将作为额外数据发送到接收器。由于原始信号和限幅信号的减法比较稀疏,因此我们使用发射机处的压缩感测方法和接收机处的贝叶斯算法对信号进行压缩,以重建原始信号。计算机仿真结果显示了削波技术的PAPR降低性能以及建议的重构方法在误码率性能方面的有效性。

更新日期:2021-04-08
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