...
首页> 外文期刊>Journal of ambient intelligence and humanized computing >Peak to average power ratio reduction of ZT DFT-s-OFDM signals using improved monarch butterfly optimization-PTS scheme
【24h】

Peak to average power ratio reduction of ZT DFT-s-OFDM signals using improved monarch butterfly optimization-PTS scheme

机译:使用改进的Monarch蝶形优化-PTS方案达到ZT DFT-S-OFDM信号的平均功率比降低

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

For traditional orthogonal multiplexing frequency division (OFDM) systems, a novel Zero Tail Discrete Fourier Transform Spread Orthogonal Frequency Division Multiplexing Division (ZT DFT-s-OFDM) waveform architecture has recently been proposed as a problem solution of low peak to average power ratio (PAPR) efficiency. The ZT DFT-s-OFDM system allows the delay in the transmission of the channel with multipath to be dynamically copied, thus the limitations to be rectified with the hard-coded Cyclic Prefix (CP). However it is affected by few roadblocks during the transmission of data, and the primary one involves the high peak-to-average power ratio (PAPR), which results in saturation observed in the power amplifier, production of more amount of interference and decreased resolution in elements such as digital/analog converters, which were considered as nonlinear. Partial transmit sequences (PTSs) is a promising plan and direct technique, ready to accomplish a viable PAPR decrease execution, yet it requires a thorough hunt to locate the ideal stage factors, which causes high computational multifaceted nature expanded with the quantity of sub-blocks. Right now, the author proposed a reduced computational complexity PTS scheme, in view of a new swarm knowledge algorithm, which is termed as Improved Monarch Butterfly Optimization (IMBO) for PAPR decrease with the ZT DFT-s-OFDM framework. The IMBO is a new swarm intelligence algorithm, with the capability of achieving an efficient optimization search that implements phase weighting process with less complexity for selecting optimum phase factors. Also, the proposed technique is quite efficient in looking for a fusion with optimal character of phase rotation factors for minimizng the computational difficulty involved. The outcomes of simulation indicate that IMBO-based PTS algorithm can substantially reduce PAPR employing an easy network structure in comparison with classical algorithms such as PTS scheme for conventional OFDM and PTS with ZT-DFT-s-OFDM.
机译:对于传统的正交多路复用频分(OFDM)系统,最近已经提出了一种新颖的零尾离散傅里叶变换扩展正交频分复用分割(ZT DFT-S-OFDM)波形架构作为低峰值到平均功率比的问题解决方案( PAPR)效率。 ZT DFT-S-OFDM系统允许使用多路径传输通道的延迟进行动态复制,因此用硬编码的循环前缀(CP)校正的限制。然而,在数据传输过程中,它受到少数障碍的影响,并且主要人员涉及高峰平均功率比(PAPR),这导致在功率放大器中观察到的饱和度,产生更多的干扰和降低的分辨率在诸如数字/模拟转换器的元素中,被认为是非线性的。部分发射序列(PTS)是一个有前途的计划和直接技术,准备完成可行的PAPR减少执行,但它需要彻底的狩猎来定位理想的阶段因素,这导致高计算多方面的性质随着子块的数量扩展。 。目前,鉴于一种新的群体知识算法,作者提出了减少的计算复杂性PTS方案,该算法被称为PAPR与ZT DFT-S-OFDM框架的PAPR降低的改进的帝王蝶形优化(IMBO)。 IMBO是一种新的群体智能算法,具有实现有效优化搜索的能力,其实现相加权处理,以便选择最佳相位因子的复杂性更低。此外,所提出的技术在寻找具有相位旋转因子的最佳特征的融合方面是非常有效的,用于最小化所涉及的计算难度。模拟结果表明,基于IMBO的PTS算法可以大大减少采用易于网络结构的PAPR,与诸如具有ZT-DFT-S-OFDM的传统OFDM和PTS的PTS方案,如PTS方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号