降低GFDM峰均功率比的低复杂度算法

为降低广义频分复用(GFDM)系统的峰均功率比(PAPR)、实现复杂度,提出了基于T变换和选择性映射(SLM)的TSLM算法,该算法的设计思想是利用SLM算法增加GFDM时域备选信号的数量以降低其PAPR,利用T变换实现串联的沃尔什-哈达玛变换和离散傅里叶反变换以降低GFDM系统的复杂度。为进一步降低GFDM系统的PAPR,提出了将TSLM算法和转换向量(CV)相结合的TCSLM算法,利用CV向量进一步增加GFDM时域备选信号的数量。结果表明,在子载波数为64、子符号数为3、相位序列数为2时,与SLM算法相比,TSLM算法和TCSLM算法的实现复杂度分别降低约21.9%和60.9%;在互补累计分布函数(CCDF)为10^?3时,TSLM算法和TCSLM算法的PAPR分别降低约0.6 dB和1 dB;在误比特率为10^?3时TSLM算法和TCSLM算法的误码性能均改善约2 dB。     

双选择信道中的时间偏移广义频分复用通信

当信道存在时间-频率双选择性时,严重的子载波间干扰和子符号间干扰将导致广义频分复用(GFDM)系统性能显著下降。为此,该文提出一种时间偏移GFDM系统(TO-GFDM),通过对传统GFDM系统的原型滤波器进行时间偏移,来提高双选择信道下GFDM系统的性能。该文推导了GFDM信号在双选择信道中的平均信干比公式,并提出基于离散导频的联合迭代信道估计与符号检测算法,该算法利用信道估计器与串行干扰消除符号检测器之间的信息交换,逐步减小干扰信号,提高信道估计与符号检测的精度。理论分析与仿真实验结果表明,在双选择信道条件下,时间偏移GFDM比传统的GFDM具有更高的平均信干比和误码率性能;并且,联合迭代信道估计与符号检测算法能有效降低系统误码率。     

双选择信道中的时间偏移广义频分复用通信

当信道存在时间-频率双选择性时,严重的子载波间干扰和子符号间干扰将导致广义频分复用(GFDM)系统性能显著下降.为此,该文提出一种时间偏移GFDM系统(TO-GFDM),通过对传统GFDM系统的原型滤波器进行时间偏移,来提高双选择信道下GFDM系统的性能.该文推导了GFDM信号在双选择信道中的平均信干比公式,并提出基于离散导频的联合迭代信道估计与符号检测算法,该算法利用信道估计器与串行干扰消除符号检测器之间的信息交换,逐步减小干扰信号,提高信道估计与符号检测的精度.理论分析与仿真实验结果表明,在双选择信道条件下,时间偏移GFDM比传统的GFDM具有更高的平均信干比和误码率性能;并且,联合迭代信道估计与符号检测算法能有效降低系统误码率.     

基于GFDM的空口波形实现及干扰抑制

广义频分复用(GFDM)具有比正交频分复用(OFDM)更低的峰均功率比(PAPR)和带外频谱泄露。因为本身固有的子载波间干扰(ICI),传统GFDM解调具有较高复杂度。本文基于导频子载波,提出一种适用于卫星通信的数据辅助干扰消除GFDM接收算法,消除了匹配滤波(MF)接收中的子载波干扰,降低了误符号率(SER)。仿真结果与复杂度分析表明,本文所提算法优于传统串行干扰消除匹配滤波算法,有助于促进GFDM在天地一体化通信系统中的应用。     

OFDMA系统降低PAPR的DCT-ACE算法

针对正交频分多址(OFDMA)系统的高PAPR问题,提出一种离散余弦变换(DCT)和动态星座扩展(ACE)的联合算法。首先对调制信号在频域进行DCT变换,从而降低大峰值信号出现的概率。对信号做星座扩展,通过改变星座点位置,减少信号同相的概率,以此降低OFDMA系统的PAPR。在16QAM的OFDMA信号模型下对新算法PAPR、计算复杂度和误码率(BER)进行仿真分析,与DCT算法、ACE算法和一些改进算法相比,所提算法在不增加复杂度的前提下,具有更强的PAPR抑制能力,且基本不会降低BER性能。     

基于DFT-GCS的ACO-OFDM系统PAPR抑制算法

针对ACO-OFDM系统的信号特点,提出了一种基于DFT和GCS相结合的PAPR抑制算法。该方法首先利用DFT预编码降低调制符号之间的相关性,从而达到抑制PAPR的目的。然后将预编码信号进行子块分割,并对其执行分组循环移位(GCS)算法以进一步抑制PAPR。当每次循环得到的PAPR小于预先设定的阈值时,算法则停止迭代以降低计算复杂度。仿真结果表明提出的算法比仅采用DFT预编码或GCS算法具有更低的PAPR。     

降低OFDM信号峰均比融合方法的研究

针对正交频分复用(OFDM)信号峰均比(PAPR)高的问题,提出了一种降低PAPR的融合算法,通过在发射端对OFDM信号进行两次降低PAPR处理来降低系统的峰均比.仿真结果表明,该算法可以大幅度的降低OFDM信号的PAPR.     

降低16QAM-OFDM信号峰均功率比的方法研究

针对0FDM峰均功率比(PAPR)问题,提出利用Golay互补序列(GCS)降低16QAM-0FDM信号PAPR的方法,分析了其PAPR最大值、16QAM序列集合大小以及编码率,讨论了编译码算法和纠错能力.研究结果表明,这些降低PAPR的方法在系统设计有不同要求时具有不同先决应用条件.     

联合限幅和μ律压扩抑制可见光通信系统的峰均功率比北大核心CSCD

直流偏置光正交频分复用(DC-biased optical orthogonal frequency division multiplexing,DCO-OFDM)可见光通信(visible light communication,VLC)系统具有较高的峰均功率比(peak-to-average power ratio,PAPR)。为解决此问题,提出一种联合限幅和归一化μ律压扩算法抑制DCO-OFDM系统的PAPR。首先,该联合算法利用限幅操作对时域信号中的大峰值信号进行削波来降低信号的幅值;其次,对限幅后的信号再进行压扩变换。通过这种联合算法,DCO-OFDM系统的PAPR可以显著降低。实验仿真结果表明,当采用16QAM调制方式,互补累计函数的值为10^(-3)时,相比较于联合限幅和传统μ律压扩算法,此联合算法的PAPR下降了约2.206 dB。     

限幅SLM算法降低DD-OFDM系统PAPR的研究

提出了限幅SLM(Selected Mapping)算法降低直接检测光正交频分复用系统(DD-OFDM)的峰均功率比(peak-to-average power ratio,PAPR).SLM算法降低了PAPR出现的概率,但并不能完全限制高PAPR.限幅SLM算法在传统SLM算法基础上对高PAPR信号进行限幅运算,进而将PAPR控制在所需要的范围内,相对限幅算法又改善了系统误码率性能.该算法可以控制高PAPR,进而降低光信号的功率,其有效性在DD-OFDM系统信道仿真中得到证实.     

PAPR analysis of wavelet based multitaper GFDM system

To guarantee a reliable, accurate communication with reduced latency and increased throughput, one of the 5G candidates Generalized Frequency Division Multiplexing (GFDM) has emerged out. Due to the non-orthogonal nature of GFDM inherent Inter Symbol Interference (ISI), Inter Carrier Interference (ICI) and high Peak to Average Power Ratio (PAPR) may occur. In order to combat such effects prolate windows are incorporated as a prototype filter to design an improved orthogonal system which provides a robust multitaper GFDM (MGFDM) carrier technique for next generation wireless networks, which outperforms conventional GFDM in terms of PAPR. In this paper, we propose a novel wavelet based MGFDM (WM-GFDM) to further reduce the PAPR by considering various wavelet transforms such as Haar, Daubechies, symlets, coiflets, Biorthogonal, Reverse Biorthogonal and Discrete Meyer Wavelets. Here, the conventional Fourier Transforms as used in traditional systems was replaced with Wavelet Transforms. The results show that PAPR performance with wavelet implementation outperformed both conventional GFDM and MGFDM by several dB. In addition, symbol error rate (SER) of WM-GFDM in comparison with conventional GFDM, MGFDM and Orthogonal FDM (OFDM) is analyzed along with spectral comparison where the results suggest that WM-GFDM follows the steps of GFDM and MGFDM.     

A novel turbo GFDM-IM receiver for MIMO communications

Generalized frequency-division multiplexing (GFDM) is a candidate waveform for the fifth generation (5G) wireless communication systems. However, the carrier frequency offset (CFO) causing synchronization problem is very important for GFDM system. In this paper, we propose a turbo receiver with channel estimation, equalization and CFO compensation for MIMO (multiple input multiple output) GFDM system with index modulation (IM). So far, no related researches exist. This paper proposes a novel receiver to solve CFO compensation with two-path transmission and proposes a modified phase rotated conjugate cancellation (PRCC) algorithm for the receiver. On the other hand, GFDM with index modulation (GFDM-IM) can achieve better performance and lower peak-to-average power ratio (PAPR) than those of GFDM by using active index subcarrier. To reduce the system complexity, the log-likelihood ratio (LLR) criteria is also employed to search which subcarrier is active. Moreover, the Kalman filter is employed to trace the time-varying channels. The initial channel estimation is performed by the sparse pilot signals. In the simulations, we compare the proposed receiver with several existing schemes in different time-varying channels and modulations. The proposed scheme outperforms the existing schemes.     

Joint channel mitigation and side information estimation for GFDM systems in indoor environments

Generalized frequency division multiplexing (GFDM) is the foremost contender for physical layer of 5G communication. The flexible nature of GFDM allows multiple symbols in time domain to superimpose, thereby creating high peak to average power ratio (PAPR). The idea of selective mapping (SLM) is to use a sequence of phase rotation vectors for generating alternatives using original GFDM signal. Among them, signal with lowest PAPR is selected for transmission. This procedure requires mandatory side information (SI) estimation or transmission which in turn decreases data reliability or efficiency. To address these issues, authors present a modified approach of pilot-assisted GFDM SLM system without need of SI transmission and to enable joint PAPR reduction and data recovery. In the proposed approach, we utilize a common modulating phase to modulate all subcarriers in a subsymbol assuming that each subsymbol consists of at least two pilots. This creates an inherent SI cancellation mechanism using the pilots which are employed for channel estimation. For practical validation of proposed concepts, we used software-defined radio (SDR) experimental setup employing universal software radio peripheral USRP) 2953R as hardware and Labview as software. Experimental results show a significant reduction in out-of-band spectral leakage without disturbing the estimated channel response.     

面向5G三大应用场景的F-OFDM系统PAPR抑制算法研究

曾作为5G候选波形技术的基于子带滤波的正交频分复用(Filtered-Orthogonal Frequency Division Multiplexing,F-OFDM)是基于正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)发展而来的,和OFDM一样存在峰值平均功率比(Peak to Average Power Ratio,PAPR)的问题。高PAPR的信号在发送时对系统功率放大器的性能要求很高,容易发生信号失真,并且会直接影响整个系统的运行成本和效率。为了提高F-OFDM系统在5G三大应用场景中的PAPR抑制性能,引入一种基于迭代限幅滤波的次优PTS抑制算法。该算法主要分为两个过程,先对F-OFDM系统的各子带的高PAPR值信号进行线性抑制,然后待各子带的信号经过各自的数字子带滤波器合并后再进行迭代限幅滤波处理,从而完成对F-OFDM信号PAPR的抑制。仿真表明,该算法相对于单独使用次优PTS算法或迭代限幅滤波算法,能提高F-OFDM系统的PAPR抑制性能。     

多径信道下基于压缩扩张的OFDM系统PAPR抑制算法

OFDM系统中存在较大的峰均比(Peak-to-Average Power Ratio,PAPR),特别在多径信道中接收的信号严重失真,星座图恶化,严重影响了系统传输性能。针对该问题,对多径信道下OFDM系统PAPR抑制进行研究,采用频域均衡技术,提出了一种多径信道下基于压缩扩张的OFDM系统PAPR抑制算法。仿真结果表明,所提算法在抑制PAPR的同时能消除多径效应影响,避免信号失真和星座图恶化。对比传统算法,所提算法星座图EVM最大降低0.19,抑制PAPR能力提升1 dB。     

DFT扩展OFDM系统中降低信号峰均比的频域成型方法

OFDM(正交频分复用)技术的主要缺点之一是其发送信号具有较高的峰均比。DFT(离散傅里叶变换)扩展OFDM系统的发送方案可以有效降低信号的峰均比。在该系统中,频域成型方法不仅对系统有无码间干扰的特性和抗噪声性能有重要影响,而且对发送信号的峰均比也有重要影响。文中首先在加性高斯白噪声信道下推导了无码间干扰和接收机最大输出信噪比条件下发送频域成型函数及接收频域成型函数所要满足的条件,然后根据该条件设计了几种频域成型方法。仿真结果表明,频域成型方法能进一步有效降低发送信号的峰均比。     

一种改进的PTS算法降低OFDM峰均比研究

部分传输序列(PTS)算法能够有效地降低OFDM通信系统的平均峰值功率比(PA-PR)。文中研究了哈达码矩阵及传统的μ率压缩算法,提出了一种新的能够有效的降低PAPR算法。提出的算法是基于传统的PTS算法,利用哈达码矩阵优化部分传输序列,结合μ率压缩算法进而降低OFDM系统的PAPR值。通过实验仿真证明,文中提出的算法能够降低OFDM系统的PAPR值,而且性能更加优越于单独的μ率压缩以及传统的PTS算法,具有良好的峰值平均功率比性能。