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Peak-to-average power ratio analysis and reduction in transform domain communication system

机译:变换域通信系统的峰均功率比分析及降低

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Transform domain communication system (TDCS) is a potential candidate for cognitive radio (CR). It is immune to the interception and has the characteristics of high spectral utilization. Nevertheless, large peak-to-average power ratio (PAPR) of the time domain signal inherently makes TDCS particularly sensitive to nonlinear distortion caused by the high power amplifier (HPA). In this paper, we analyze the statistical distribution of PAPR, derive the complementary cumulative distribution function (CCDF) and put forward an algorithm to reduce PAPR by adding a power controllable signal on the transmit signal in TDCS. This algorithm is acquired by modifying the tone reservation (TR) algorithm in orthogonal frequency division multiplexing (OFDM). This algorithm provides an ability to fast respond to the spectrum environment and a lower computation complexity compared with approximation projection onto complex sets (APOCS). Simulation results reveal that the proposed algorithm reduces PAPR effectively without extra loss in bit error rate (BER).
机译:变换域通信系统(TDCS)是认知无线电(CR)的潜在候选者。它对拦截免疫,具有高光谱利用的特点。然而,时域信号的大峰平均功率比(PAPR)固有地使TDC对由高功率放大器(HPA)引起的非线性变形特别敏感。在本文中,我们分析了PAPR的统计分布,推出了互补累积分布函数(CCDF)并提出了一种通过在TDC中的发射信号上添加功率可控信号来减少PAPR的算法。通过在正交频分复用(OFDM)中修改音调预留(TR)算法来获取该算法。与近似投影相比,该算法提供了快速响应频谱环境的能力和较低的计算复杂性,与复合集(APOC)进行近似投影。仿真结果表明,所提出的算法有效地减少了PAPR,而无需略微损失(BER)。

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