基于部分传输序列和选择映射的ICI消除方法

OFDM(正交频分复用)是第4代移动通信系统的核心技术之一,在OFDM基本系统中,各载波间正交性的损失会导致ICI(载波间干扰)的产生。文中在介绍和比较多种传统消除ICI的方法的基础上,提出了一种新的ICI消除技术:PTS(部分传输序列)法和SLM(选择映射)法,并针对PTS算法的缺陷提出了改进优化算法。仿真结果表明PTS和SLM算法都能减小系统的ICI,对系统误码率有所改善,从而使系统的性能得到了提高。     

一种新的OFDM系统中ICI消除算法

根据一种典型的OFDM系统模型，证明了载波间干扰（ICI）系数矩阵为酉阵，并利用其容易求逆的性质，提出了一种基于发送训练码的ICI消除方法，以较小的计算复杂度对接收信号进行处理来消除ICI。分析及仿真结果表明，与两种现有的ICI消除方法一一自消除法和加窗法相比较，该方法可以较好的消除ICI，同时，避免了自消除法和加窗法的缺陷。     

时变信道OFDM系统一种改进的连续ICI消除法

提出了一种改进的连续子信道间干扰(ICI)消除法,有效地消除OFDM信号在时变信道下产生的ICI。该方法检测出每一子信道上的数据后,立即估计并消除该数据对其他所有子信道产生的ICI,因此提高了下一子信道的检测精度。在Jakes模型产生的时变信道下进行仿真,结果表明,与传统的并行ICI消除法在迭代次数和运算量相同条件下,本算法具有较快的收敛性和较高的性能。     

基于软频率复用规划的LTE小区间干扰抑制

主要分析了LTE系统的小区间干扰（ICI）协调技术和ICI消除技术。针对传统软频率复用规划的不足提出了改进方案,并且通过迭代ICI消除技术,达到更好的干扰抑制效果。     

Turbo编码MIMO OFDM系统多径干扰抵消

正交频分复用(OFDM)利用保护间隔(GI)消除因多径时延而产生的符号间干扰(ISI)和载波间干扰(ICI),但是太长的GI会占用过多的信道资源。为此,在保持一定GI长度的情况下,提出了利用减法抵消法消除ISI和加法抵消法抵消ICI的多径干扰抵消(MPIC)方法,使得当多径时延大于GI时,仍然可以保持系统的低误码率以及较强的抗多径干扰的优异性能。蒙特卡洛仿真结果表明,有多径干扰的情况下,在Turbo码编码的MIMO OFDM系统中使用提出的多径干扰抵消方法可以更有效地减少ISI和ICI。     

PSA-OFDM系统在时变衰落信道中的ICI消除

针对移动信道的时变衰落特性引起的载波间干扰(ICI)对无线OFDM系统性能的严重影响,介绍研究了一种利用循环前缀(CP)和导频信号来消除ICI的方法.仿真结果表明,通过消除时变衰落信道中ICI的影响,有效地提高了系统的性能.     

基于MMSE准则的改进型并行迭代ICI消除算法

无线信道的时变性破坏了OFDM系统各子载波间的正交性,造成子载波间功率泄漏,从而产生子载波间干扰(ICI).ICI的产生严重影响了OFDM系统的性能.本文首先从ICI的特性出发,对MMSE准则进行了修正,在此基础上,提出一种改进的并行迭代(PIC)均衡算法消除ICI的影响.Jakes谱瑞利衰落信道上的仿真结果表明,该方...     

DVB-T/H移动接收的信道估计和ICI消除

移动衰落信道中正交频分复用(OFDM)系统的子载波间干扰(ICI)是引起系统性能下降的主要因素.通过对时变信道中ICI的分析,给出了DVB-T/H系统中的一种信道估计和ICI消除算法,并进一步提出改进算法.最后经过仿真并在FPGA上实现,并通过接收机系统的联调与测试,验证了设计的合理性与可靠性.     

CO-OFDM系统中基于维纳滤波的相位噪声ICI抑制算法

针对相干光正交频分复用(CO-OFDM)通信系统中相位噪声引起的载波间干扰(ICI)问题,提出一种基于维纳滤波的相位噪声ICI抑制算法。算法不需要改变OFDM符号原有的结构,只需要利用相位噪声预先得到的统计数据,通过相关计算,得到ICI的修正项。由于没有在OFDM符号中添加额外的辅助数据,所以与ICI自消除算法相比,所提出的ICI抑制算法具有较高的频谱利用率。仿真结果表明,在相位噪声比率为10-4级别时,基于迭代检测的ICI消除算法的误码率(BER)趋于10-4,出现错误平层;而本文所提出的ICI抑制算法能够有效地降低错误平层,改善BER性能。     

一种快变信道中的正交频分复用系统均衡算法

当信道参数随时间的快速变化时,正交频分复用通信系统(OFDM)子载波间的正交性遭到破坏,出现了载波间的相互干扰(ICI),传统的单抽头频域均衡不再适用。虽然可采用最小均方误差(MMSE)均衡来补偿信道失真,但其计算量太大。为此,常用的方法是:先对接收信号进行ICI消除,恢复载波间的正交性,然后再进行单抽头频域或均衡。现有文献对ICI的分析均在频域进行,在此基础上提出的ICI消除与均衡算法存在计算量大或频谱利用率低的缺点。本文对ICI的产生机理和性质进行了时域和频域两方面的分析,利用现有OFDM标准中的空闲子载波信息,提出了一种ICI消除与均衡算法。理论分析和计算机仿真结果表明:该算法具有ICI消除效果好、计算量小和频谱利用率高等优点。     

Dual symbol optimization‐based partial transmit sequence technique for PAPR reduction in WOLA‐OFDM waveform

Weighted overlap and add‐orthogonal frequency division multiplexing (WOLA‐OFDM) is a new waveform proposed recently for meeting the requirements of fifth generation (5G) telecommunication standards. In spite of being a serious 5G waveform candidate, WOLA‐OFDM is exposed to the problem of high peak to average power ratio (PAPR) similar to the other waveforms in which multicarrier transmission strategy is employed. Due to the overlapping nature of WOLA‐OFDM waveform, where the extension of the current symbol is overlapped with the extension of the previous symbol, it will not be efficient to apply conventional PTS (C‐PTS) directly to the WOLA‐OFDM waveform. Therefore, in this paper, we propose dual symbol optimization‐based partial transmit sequence (DSO‐PTS) technique for PAPR reduction in WOLA‐OFDM waveform. In our proposed technique, two adjacent symbols are jointly considered when searching for the optimal data block with minimum PAPR unlike the C‐PTS where the adjacent symbols are optimized individually. In the simulations, our proposed DSO‐PTS technique, C‐PTS, and GreenOFDM that is developed recently by modifying the conventional selective mapping (SLM) method are compared with each other with regard to PAPR reduction performance for different search numbers (SNs). In addition, the effects of DSO‐PTS, C‐PTS, and GreenOFDM on the amount of out of band (OOB) radiation in the power spectral density (PSD) graph of WOLA‐OFDM employing solid state power amplifier (SSPA) is measured for different SNs and input back off (IBO) values. According to the simulation results, our proposed DSO‐PTS technique clearly demonstrates a superior PAPR reduction and PSD performance.     

PTS with Non-Uniform Phase Factors for PAPR Reduction in OFDM Systems

Partial transmit sequence (PTS) is one of the effective and uncomplicated PAPR reduction methods for OFDM systems. The phase factors applied in the weighting sequences are assumed to be uniformly distributed within [0, 2pi). By carefully investigating the phase distribution of OFDM signals, we proposed a modified PTS scheme outperforming the conventional PTS scheme in PAPR reduction performance. The process of the proposed scheme is the same as the conventional PTS, except for applying the new non-uniform phase factors. The required side information is the same as the conventional PTS applying uniform phase factors.     

OFDM系统降低峰平比方法的研究

采用部分传输序列(PTS)降低OFDM系统中的峰平比.虽然PTS法具有不会使信号发生畸变,应用不受载波数限制,频谱损失小等优点,但是其实现起来计算量较大,限制了它在实际中的应用.在充分研究了基于汉明距离的PTS算法后,在其中加入门限值,仿真证明这种方法在不损失PAPR性能的前提下,可以进一步降低复杂度,具有较强的实用性.     

A hybrid technique for the PAPR reduction of NOMA waveform

Non-orthogonal multiple access (NOMA) is a great contender for future cellular modulation due to its desirable properties like massive connectivity, high data rate transmission, and high spectral efficiency. However, its peak-to-average power ratio (PAPR) is significant, which becomes a significant disadvantage for the efficient operability of the NOMA waveform compared to current techniques. Several PAPR reduction algorithms like selective mapping (SLM), partial transmission sequence (PTS), and companding techniques have been proposed to lower the PAPR of multicarrier waveforms (MCWs). PTS reduces the PAPR but has high complexity. On the other hand, SLM has a less complex framework, but its PAPR performance is not as efficient as PTS. Companding methods reduce the PAPR by compressing the signals at the transmitter, which unfortunately reduces the dynamic range of the signal. In this work, we propose a hybrid algorithm (SLM + PTS) with a companding method for the first time for the NOMA waveform, which efficiently reduces the PAPR with low computational complexity. Furthermore, we compare the performances of a host of candidate algorithms like SLM, PTS, hybrid (SLM + PTS), hybrid + A law (SLM–PTS–A law), and hybrid + Mu law (SLM–PTS–Mu law). The results of the experiments show that the hybrid + Mu law did a better job than the existing PAPR reduction algorithms.     

PAPR reduction of an OFDM signal by use of PTS with low computational complexity

One of the major drawbacks of orthogonal frequency division multiplexing (OFDM) is the high peak-to-average power ratio (PAPR) of the transmitted OFDM signal. Partial transmit sequence (PTS) technique can improve the PAPR statistics of an OFDM signal. However optimum PTS (OPTS) technique requires an exhaustive search over all combinations of allowed phase factors, the search complexity increases exponentially with the number of sub-blocks. By combining sub-optimal PTS with a preset threshold, a novel reduced complexity PTS (RC-PTS) technique is presented to decrease the computational complexity. Numerical results show that the proposed approach can achieve better performance with lower computational complexity when compared to that of other PTS approaches.     

SLM and PTS peak-power reduction of OFDM signals without side information

Selected mapping (SLM) and partial transmit sequence (PTS) are well-known techniques for peak-power reduction in orthogonal frequency-division multiplexing (OFDM). We derive a simplified maximum likelihood (ML) decoder for SLM and PTS that operates without side information. This decoder exploits the fact that the modulation symbols belong to a given constellation and that the multiple signals generated by the PTS or SLM processes are widely different in a Hamming distance sense. Pairwise error probability (PEP) analysis suggests how SLM and PTS vectors should be chosen. The decoder performs well over additive white Gaussian noise (AWGN) channels, fading channels, and amplifier nonlinearities.     

PAPR Reduction in VLC-OFDM System Using a Combination of Shuffled Frog Leaping Algorithm and Hill-Climbing Algorithm

Orthogonal frequency division multiplexing (OFDM) technique has been widely used in visible light communications (VLC) system (VLC-OFDM). To minimize the performance degradation of VLC-OFDM system caused by high peak-to-average power ratio (PAPR), we propose a SFLAHC-PTS technique to reduce the PAPR of signal in this paper. The proposed SFLAHC-PTS is an improved PTS technique which takes advantages of shuffled frog leaping algorithm and hill-climbing algorithm to optimize conventional PTS technique, reducing the computational complexity of conventional PTS technique. We compare SFLAHC-PTS technique with other PTS techniques on the CCDF performance, as well as computational amount to analyze the superiority of SFLAHC-PTS technique. The results show that the proposed technique can greatly reduce the computational load of conventional PTS technique and has better performance in reducing PAPR than GA-PTS, SFLA-PTS technique.

     

A novel ant colony optimization algorithm for PAPR reduction of OFDM signals

The high peak‐to‐average power ratio (PAPR) is the main challenge of orthogonal frequency division multiplexing (OFDM) systems. Partial transmit sequence (PTS) is a useful approach to diminish the PAPR. Although the PTS approach significantly decreases the PAPR, it requires to explore all possible sequences of phase weighting factors. Hence, the computational cost exponentially increases with the number of divided subblocks. This paper proposes a novel PTS technique based on ant colony optimization (ACO) to diminish the high PAPR and computational cost of OFDM systems. By the new representation of phase factors as a graph, the improved ACO algorithm is combined with the PTS method to explore the optimal compound of the phase rotation factors. Simulation results represent that the proposed ACO‐based PTS approach significantly reduces the PAPR and improves the computational cost at the same time. A comparative analysis of the other meta‐heuristics shows that the ACO‐PTS approach outperforms the genetic algorithm, particle swarm optimization, and gray wolf optimization in terms of reducing PAPR.     

用部分传输序列方法降低实数OFDM信号峰均值比

该文分析了部分传输序列方法(PTS)用于降低实数OFDM信号峰均值比(PAPR)时存在的问题,分别研究并提出用于降低实数OFDM信号PAPR的相邻分割PTS(APTS)及交织分割PTS(IPTS)具体实现方法。仿真结果表明,APTS和IPTS能够有效降低信号的PAPR;在相同待选传输序列情况下,APTS算法性能与IPTS算法基本相当;APTS算法需要多次的IDFT运算,而IPTS仅需要一次IDFT运算。     

PAPR reduction of OFDM signals using partial transmit sequence: an optimal approach using sphere decoding

Partial transmit sequence (PTS) is a promising technique for peak-to-average-power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems. Computation of optimal PTS weight factors via exhaustive search requires exponential complexity in the number of subblocks; consequently, many suboptimal strategies have been developed to date. In this letter, we introduce an efficient algorithm for computing the optimal PTS weights that has lower complexity than exhaustive search.