吴建霞,杨永立.一种降低FBMC-OQAM系统PAPR的算法[J].计算机科学,2018,45(6):89-95
一种降低FBMC-OQAM系统PAPR的算法
Algorithm for Reducing PAPR of FBMC-OQAM System
投稿时间:2017-03-30  修订日期:2017-06-18
DOI:10.11896/j.issn.1002-137X.2018.06.015
中文关键词:  基于滤波器组的多载波通信系统,峰均功率比,载波预留,非线性压扩变换,联合法
英文关键词:FBMC-OQAM,Peak-to-average power ratio,Tone reservation,Nonlinear compressing and expanding transform,Hybrid method
基金项目:
作者单位E-mail
吴建霞 武汉科技大学信息科学与工程学院 武汉430081 1169474032@qq.com 
杨永立 武汉科技大学信息科学与工程学院 武汉430081 553116411@qq.com 
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中文摘要:
      滤波器组多载波(Filter Bank Multi-Carrier,FBMC)与偏移正交振幅调制(Offset Quadrature Amplitude Modulation,OQAM)相结合的FBMC-OQAM技术在无线通信系统中具有频谱效率高和无需同步等特点。然而,FBMC-OQAM系统较高的峰均功率比(Peak-to-Average Power Ratio,PAPR)容易导致信号失真、频谱扩展、系统性能下降。鉴于此,文中提出一种载波预留(Tone Reservation,TR)和μ-律压扩联合的新方法(TR-μLaw)来降低FBMC-OQAM系统的PAPR。TR方法具有无失真特性,而μ-律压扩法虽然给FBMC-OQAM系统带来了一定失真,但是能显著降低PAPR。TR-μLaw方法将二者结合,实现了两种方法的利弊互补。仿真结果表明,TR-μLaw方法 在降低PAPR方面的性能优于μ-律压扩法和TR方法,在μ=3和Iterations=8时TR-μLaw方法的PAPR较后两者分别降低约1.0dB和3.4dB,且BER性能优于μ-律压扩法。
英文摘要:
      FBMC-OQAM technique combining filter bank multi-carrier (FBMC) and offset quadrature amplitude modulation (OQAM) shows the characteristics such as high spectrum efficiency and without synchronization in wireless communication system.However,the higher peak-to-average power ratio (PAPR) in FBMC-OQAM systems can easily lead to signal distortion,spectrum extension and system performance degradation.Therefore,this paper proposed a method to reduce the PAPR by applying a new expansion hybrid method for FBMC-OQAM systems.The new method called TR-μLaw combines Tone Reservation (TR) and μ-law companding scheme.The TR method has no distortion characteristic and the μ-law companding method causes the distortion to FBMC-OQAM system,but it has obvious effects of reducing PAPR.Therefore,TR-uLaw hybrid method realizes the complementary advantages of the two me-thods.The simulation results show that the performance of reducing PAPR is better than that of both μ-law and TR methods which reduce about 1.0dB and 3.4dB at μ=3 and Iterations=8,respectively,and the BER performance of the TR-μLaw method is better than that of μ-law method.
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