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Study of Various Algorithms on PAPR Reduction in OFDM System

机译:OFDM系统PAPR减少算法的研究

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摘要

Artificial Bee Colony algorithm (ABC) is a swarm intelligence algorithm proposed by Karaboga in 2005, which is inspired by the behavior of honey bees. In this paper we make use of this algorithm to reduce PAPR in OFDM. Orthogonal frequency division multiplexing (OFDM) is an attractive technique for wireless high-rate data transmission as it minimizes effect due to frequency- selective fading channels. However, OFDM has some drawbacks in the transmission system. One of the major problems of the OFDM system is that OFDM signal has higher peak to-average-power ratio (PAPR) than single carrier signal because OFDM signal is the sum of many narrowband signals in the time domain. The high PAPR can cause inter-modulation and out-of-band radiation due to power amplifier nonlinearity. Therefore, it is highly desirable to reduce the PAPR of an OFDM signal. Many methods have been proposed including Partial Transmit Sequence (PTS), Selective Level Mapping (SLM) and some more. Here a newly suboptimal method based on artificial bee colony (ABC-PTS) algorithm is proposed to search the better combination of phase factors.
机译:人造蜜蜂殖民地算法(ABC)是Karaboga于2005年提出的一种群体智能算法,这是由蜂蜜蜜蜂的行为的启发。在本文中,我们利用这种算法减少了OFDM中的PAPR。正交频分复用(OFDM)是一种有吸引力的无线高速数据传输技术,因为它最小化由于频率选择性衰落通道而最小化的效果。然而,OFDM在传输系统中具有一些缺点。 OFDM系统的一个主要问题是,由于OFDM信号是时域中的许多窄带信号的总和,OFDM信号具有比单载波信号更高的平均功率比(PAPR)。高PAPR可能导致由于功率放大器非线性引起的调制间和带外辐射。因此,非常希望减少OFDM信号的PAPR。已经提出了许多方法,包括部分发射序列(PTS),选择性级别映射(SLM)等等。这里提出了一种基于人造蜂殖民地(ABC-PTS)算法的新次优方法来搜索相位因子的更好组合。

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