光OFDM系统中一种联合改进的LC-SLM峰均比抑制技术

由于光正交频分复用(O-OFDM)系统中的峰值平均功率比(PAPR)较高,针对传统的选择性映射(C-SLM)方案计算复杂度较高,而一些低复杂度SLM(LC-SLM)方案的峰均比抑制性能不佳的问题,为了在降低计算复杂度的同时兼顾PAPR的抑制性能,提出一种基于LC-SLM方案和Clipping技术联合改进的PAPR抑制方案。在低复杂度方案中,O-OFDM信号的实部和虚部被分开处理以期获得更多的备选信号,再结合Clipping技术把信号限定在门限值范围内,最后再选择PAPR最小的一路信号从而得到最优的PAPR抑制性能。仿真结果表明该方案具有较好的优越性以及较高的利用价值。     

光OFDM系统中一种改进的SLM峰均比抑制方案

针对光正交频分复用(O-OFDM)系统中峰值平均功 率比(PAPR)较高的缺点,对PAPR抑制技术的选择性 映射法(SLM) 进行了深入研究。基于低复杂度SLM方案的深入研究,提出了一种改进的次PAP R选择的思 想与低复杂度SLM相结合的PAPR抑制方案。改 进的SLM方案能够成倍降低传统SLM方案的计算复杂 度。仿真分析表明,改进的SLM方案在载波数为256的O-OFDM系统中,计算复杂度能降低50%以上,并 且随着子载波数的增加,其复杂度降低程度更为高效;同时,该改进的SLM方案又能使其PAPR抑制性能优于传统的SLM方案,从而进一步提升了低复杂度SLM 方案的实用价值。     

次优化SLM法降低OFDM系统PAPR

正交频分复用（OFDM）系统的主要缺点是发射机输出信号的高峰均功率比（PAPR）。选择性映射（SLM）法能有效地降低OFDM信号的PAPR概率,但它需要一组逆快速傅立叶变换（IFFT）来产生候选传输信号,这将导致高的计算复杂度。本文给出一种低复杂度的次优化SLM算法。仿真结果表明该次优化SLM算法在降低PAPR相似的情况下,具有更小的计算复杂度。     

一种降低MIMO-OFDM系统PAPR的低复杂度SLM算法

为了降低MIMO-OFDM(多输入多输出正交频分复用)系统中传统SLM(选择性映射)算法的计算复杂度,文章提出将原始频域信号分成实部和虚部后分别进行不同的相位旋转,再通过IFFT(快速傅里叶逆变换)调制模块得到相应的时域序列,最后通过多天线间实部和虚部序列的不同组合来产生更多的具有不同PAPR(峰均功率比)的备选序列。仿真结果表明,所提算法能有效地抑制MIMO-OFDM信号的PAPR。相比传统SLM算法能有效降低计算复杂度。     

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.     

OFDM系统中基于SLM降低PAPR的新算法

SLM(选择性映射)算法能解决OFDM(正交频分复用)系统中的高PAPR(峰均功率比)问题,但是基本的SLM算法具有较高的计算复杂度。提出一种G-SLM(分组SLM)算法,该算法通过将输入信号进行分组的方式来降低其与相位因子结合时的算法复杂度。仿真结果表明,该算法不但保持了较低的算法复杂度,同时又有效地降低了PAPR。     

用时域自相关匹配方法降低OFDM系统的PAPR

对时域自相关匹配方法降低 OFDM (正交频分复用)系统的PAPR (峰均功率比)进行了研究。该方法的基本思想是在时域加入一个随机序列发生器,随机序列与原始信号在时域叠加,以达到降低 OFDM系统 PAPR的目的,并可以在接收端实现信号的盲检测。该方法的信号处理过程是在时域,故仅需要一个 IFFT (快速傅里叶逆变换)操作,就能降低计算复杂度。仿真结果表明,该方法可以获得与传统 SLM (选择性映射)方法相似的PAPR和BER (误码率)性能,但计算复杂度比传统的SLM方法降低了很多,从而验证了该方法的有效性。     

光OFDM系统中一种联合改进的低复杂度PTS峰均比抑制技术

光正交频分复用系统(O-OFDM)的缺点之一是存在高的峰值平均功率比(PAPR),部分传输序列(PTS)技术能够有效降低高PAPR出现的概率,但其计算复杂度较高。针对该问题,提出一种可降低计算复杂度的二阶PTS和削波(Clipping)联合改进的PAPR抑制方案。该方案首先将初始的输入信号进行d级逆快速傅里叶变换(IFFT)运算,再进行子块划分,然后进行剩下的n-d级IFFT运算。仿真结果表明,该方案大大降低了计算复杂度,并且在峰均比抑制效果和系统误码率(BER)方面都得到了较好的改善,具有较高的实际应用价值。     

一种基于SLM的抑制PAPR的改进算法研究

正交频分复用(OFDM)作为一种特殊的多载波传输(MCM)方案,具有较高的频带利用率和良好的抗多径干扰能力。但较高的峰均功率比(PAPR)是限制其应用的一个主要缺点。选择性映射(SLM)算法是无失真降低OFDM系统PAPR的有效方法,但其复杂度较高。因此提出了一种基于SLM的抑制PAPR的改进算法。仿真结果表明,该方法即有效地降低了SLM实现的复杂度,又大幅降低了PAPR,提高了OFDM系统性能。     

一种降低OFDM系统PAPR的低复杂度算法

选择映射(SLM)是一种无失真降低OFDM信号峰平比(PAPR)的有效方法,但该方法通过串并转换将一路信号变为U路信号,再对U路信号进行IFFT处理,计算量大,同时也降低了信号传输速率。文中提出了一种改进的随机筛选法方案,该方法在IFFT模块之前就对序列进行选择,根据判决门限选择其中随机性最好的一路信号进行传输。其与SLM法相比,只进行一路信号的IFFT计算,复杂度大幅降低,且提高了信号传输效率,并在较大程度上降低了OFDM信号的峰平比。     

Low-complexity PAPR reduction technique for OFDM systems using modified widely linear SLM scheme

In this paper, a modified widely linear selective mapping (MWL-SLM) scheme is proposed to reduce the peak-to-average power ratio (PAPR) of the orthogonal frequency-division multiplexing (OFDM) systems. In the proposed MWL-SLM scheme, through partition one complex signals into two real signals and combining the linear properties of the Fourier Transform, at most 4M² candidate signals can be obtained but only require M inverse fast Fourier transform (IFFT) operations. As a result, the proposed SLM scheme has the ability to generate more candidates when compared with conventional SLM (C-SLM) and widely linear SLM (WL-SLM). Therefore, MWL-SLM outperforms C-SLM and WL-SLM for the same computational cost of IFFT operations. Alternatively, for a given number of candidates, MWL-SLM has slightly inferior PAPR reduction performance to C-SLM and WL-SLM but requires less IFFT operations to be implemented, thus resulting in a lower computational complexity. Simulation results demonstrate the effectiveness of the proposed scheme.     

A Low Complexity VCS Method for PAPR Reduction in Multicarrier Code Division Multiple Access

This paper investigates a peak to average power ratio (PAPR) reduction method in multicarrier code division multiple access (MC-CDMA) system. Variable code sets (VCS), a spreading codes selection scheme, can improve the PAPR property of the MC-CDMA signals, but this technique requires an exhaustive search over the combinations of spreading code sets. It is observed that when the number of active users increases, the search complexity will increase exponentially. Based on this fact, we propose a low complexity VCS (LC-VCS) method to reduce the computational complexity. The basic idea of LC-VCS is to derive new signals using the relationship between candidature signals. Simulation results show that the proposed approach can reduce PAPR with lower computational complexity. In addition, it can be blindly received without any side information.     

A Low Complexity VCS Method for PAPR Reduction in Multicarrier Code Division Multiple Access

This paper investigates a peak to average power ratio (PAPR) reduction method in multicarrier code division multiple access (MC-CDMA) system. Variable code sets (VCS), a spreading codes selection scheme, can improve the PAPR property of the MC-CDMA signals, but this technique requires an exhaustive search over the combinations of spreading code sets. It is observed that when the number of active users increases, the search complexity will increase exponentially. Based on this fact, we propose a low complexity VCS (LC-VCS) method to reduce the computational complexity. The basic idea of LC-VCS is to derive new signals using the relationship between candidature signals. Simulation results show that the proposed approach can reduce PAPR with lower computational complexity. In addition, it can be blindly received without any side information.     

SFBC MIMO-OFDM系统中基于循环移位和盲检测的低复杂度SLM算法

为了降低空频分组编码的多输入多输出正交频分复用(Space Frequency Block Coding Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing,SFBC MIMO-OFDM)系统中传统选择性映射(Selected Mapping,SLM)算法的计算复杂度,本文提出了结合时域信号的循环移位和等效SFBC编码来产生更多具有不同峰均功率比(Peak to Average Power Ratio,PAPR)的备选序列的方法.接收端通过比较反向旋转序列与最近星座点的距离来恢复出循环移位因子和相位旋转因子,从而实现接收信号的盲检测.仿真结果表明,本文提出方法能有效地抑制SFBC MIMO-OFDM系统的PAPR.另外,本文提出方法明显降低了传统SLM算法的计算复杂度,而且可以获得与传统SLM算法在已知边带副信息情况下相似的比特误码率(Bit Error Rate,BER)性能.     

A Low Complexity Selected Mapping Scheme by Use of Time Domain Sequence Superposition Technique for PAPR Reduction in OFDM System

By using the time domain sequence superposition (TDSS) technique, in this paper, we propose a low complexity selected mapping (LC-SLM) scheme for the peak-to-average power ratio (PAPR) reduction of the orthogonal frequency division multiplexing (OFDM) system. Unlike the conventional selected mapping (SLM) scheme which needs several inverse fast Fourier transform (IFFT) operations for an OFDM signal, the proposed scheme requires to implement two IFFT operations only. Thus, it can remarkably reduce the computational complexity. Simulation results show that the proposed scheme can achieve similar PAPR performance as the conventional SLM scheme.      

Low-complexity selected mapping schemes for peak-to-average power ratio reduction in OFDM systems

Orthogonal frequency-division multiplexing (OFDM) is an attractive transmission technique for high-bit-rate communication systems. One major drawback of OFDM is the high peak-to-average power ratio (PAPR) of the transmitter's output signal. The selected mapping (SLM) approach provides good performance for PAPR reduction, but it requires a bank of inverse fast Fourier transforms (IFFTs) to generate a set of candidate transmission signals, and this requirement usually results in high computational complexity. In this paper, we propose a kind of low-complexity conversions to replace the IFFT blocks in the conventional SLM method. Based on the proposed conversions, we develop two novel SLM schemes with much lower complexity than the conventional one; the first method uses only one IFFT block to generate the set of candidate signals, while the second one uses two IFFT blocks. Computer simulation results show that, as compared to the conventional SLM scheme, the first proposed approach has slightly worse PAPR reduction performance and the second proposed one reaches almost the same PAPR reduction performance.     

MIMO-OFDM系统中基于循环移位和信号联合的改进SLM算法

为降低多输入多输出正交频分复用(MIMO-OFDM, multiple input multiple output orthogonal frequency division multiplexing)系统中传统选择性映射(SLM, selected mapping)算法的计算复杂度,提出了通过信号时域循环移位和天线间信号联合产生更多具有不同峰均功率比(PAPR, peak to average power ratio)的备选序列集合的方法。接收端先根据发射端序列选取情况恢复出频域旋转信号,再比较反向旋转序列与最近星座点的距离来恢复原始序列。仿真结果表明,所提出的方法能有效地抑制MIMO-OFDM信号的PAPR。另外,与传统SLM算法相比,提出方法明显降低了计算复杂度,而且可以获得传统SLM方法在已知边带副信息情况下近似的比特误码率性能。