In this study, the authors have proposed a low complexity companding function for peak-to-average-power ratio (PAPR) reduction in orthogonal frequency division multiplexing systems. This function transforms the signals into a probability density function with a cumulative distribution function an anti-trigonometric function. By carefully choosing the transform parameters, the bit error rate (BER) performance can be improved significantly during the reduction of PAPR. In addition, the proposed companding function offers design flexibility. Simulation results show that for the same PAPR performance, the proposed companding scheme can offer better BER performance. For example, upon assigning BER = 10 ⁻⁴ in an additive white Gaussian noise channel without a solid-state power amplifier, the minimum required bit energy to noise power spectral ratio ( E _b / N _o ) for the proposed companding scheme with c = 0 and A = 1.414 is 11 dB. It is 5, 4.2, and 3 dB lower than exponential companding function, root-based μ -law companding function, and amplitude limiting companding schemes, respectively. Also, their PAPR performance is the same.

中文翻译：

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用于降低OFDM系统中PAPR的低复杂度压扩函数设计

在这项研究中，作者提出了一种低复杂度的压扩函数，用于降低正交频分复用系统中的峰均功率比（PAPR）。该函数将信号转换为具有累积分布函数和反三角函数的概率密度函数。通过仔细选择变换参数，可以在降低PAPR的过程中显着提高误码率（BER）性能。另外，建议的压扩功能提供了设计灵活性。仿真结果表明，对于相同的PAPR性能，提出的压扩方案可以提供更好的BER性能。例如，在分配BER = 10 ^-4时 在没有固态功率放大器的加性高斯白噪声通道中，所需的最小位能量与噪声功率谱之比（ Ë _b / ñ _o ）对于建议的压扩方案C = 0且 一种= 1.414为11 dB。比基于根的指数压扩函数低5 dB，4.2 dB和3 dBμ 律压扩函数和幅度限制压扩方案。而且，它们的PAPR性能相同。