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A comparison of several gradient based optimization algorithms for PAPR reduction in OFDM systems

机译:几种基于梯度基于梯度优化算法的OFDM系统的PAPR减少

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The aim of this paper is to evaluate and compare different optimization algorithms for Peak to Average Power Ratio (PAPR) reduction in Orthogonal Frequency Division Multiplexing (OFDM) systems. Based on Tone Reservation (TR) method, we exploit the unused subcarriers of the studied standard to generate the peak canceling signal without data rate loss. Gradient, Conjugate-Gradient with two directions search and QuasiNewton methods have been investigated and evaluated on the basis of spectral regrowth, convergence speed and ability to improve the high peak-to-average reduction in multicarriers systems. As an example, the simulations are performed in the case of Local Area Network WLAN (IEEE 802.11a standard). Simulation results show that a PAPR reduction gain around 3 dB can be achieved.
机译:本文的目的是评估和比较与平均功率比(PAPR)降低的不同优化算法(PAPR)减少正交频分复用(OFDM)系统。基于音调预留(TR)方法,我们利用所研究标准的未使用的子载波来生成峰值取消信号而不进行数据速率损耗。已经研究了具有两个方向搜索和Quasinewton方法的梯度,共轭梯度,并根据光谱再生,收敛速度和改善多载波系统的高峰平均降低的能力来评估。作为示例,在局域网WLAN(IEEE 802.11a标准)的情况下执行模拟。仿真结果表明,可以实现3 dB的PAPR降低增益。

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