一种降低OFDM系统峰均比的改进算法

选择映射（SLM）技术是一种无失真降低正交频分复用（OFDM）系统信号峰均比的方法,为更好地降低正交频分复用系统的峰均比,文中提出了一种基于SLM级联抵消技术降低PAPR的优化算法。该算法首先利用改进的SLM算法,对系统PAPR特性进行优化,然后利用抽样信号作为参考函数,实现对系统峰均比的有效降低。通过分析SLM级联峰...     

混沌序列在降低OFDM系统的峰均比中的应用

OFDM较高的峰值平均功率比（PAPR）严重影响了其传输性能,选择性映射（SLM）虽然能无失真降低PAPR,但是边带信息较多。对此,文章提出引入混沌序列对SLM算法进行改进,在介绍了OFDM系统峰均比、SLM算法原理和混沌序列的概念之后,详细阐述了如何使用混沌序列改进SLM算法,并进行了Matlab仿真。仿真结果表明,该法既保证了SLM算法性能,又大大降低了边带信息传输量,提高了系统的传输效率。     

一种降低OFDM系统峰均比的新方案

提出了一种降低OFDM系统峰均比(PAPR)的实现方案,该方案利用编码和选择性映射(SLM)方法相结合来降低OFDM系统的PAPR,可以认为是一种改进的SLM算法。给出了具体的编解码方案、边信息的传输方案,他通过将边信息嵌入到传输数据中,随数据码元一起发送,不会造成系统频谱利用率的下降。最后,对PAPR和误码率(BER)性能进行了仿真研究,结果表明改进SLM算法可以有效降低OFDM系统的PAPR,同时在瑞利衰落信道下可以降低系统的误码率。     

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.     

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。     

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。     

降低OFDM系统峰均比的改进方法

正交频分复用（OFDM）系统最主要的一个缺点就是峰值平均功率（PAPR）比过高,选择性映射（SLM）虽然能无失真地降低OFDM信号峰均比PAPR,但不能完全避免OFDM系统高峰值的出现。提出一种新的算法,将SLM法与迭代限幅滤波算法结合,通过迭代限幅滤波（RCF）来进一步提高系统的性能。仿真结果表明,该方法可以在不增加系统误码率性能的基础上,在降低OFDM信号峰均比方面,比限幅法、迭代限幅滤波法和SLM法均有很大的提高。     

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。     

FrFT-OFDM系统的低复杂度峰均功率比抑制技术研究

针对基于分数阶Fourier变换的OFDM系统(简称FrFT-OFDM系统)的高峰均功率比(PAPR)问题,该文提出一种低复杂度的峰均比抑制算法。通过对随机相位序列采用周期延拓至FrFT-OFDM符号长度,相位因子加权后与子载波调制前的数据相乘的方式,实现对高峰均比的有效抑制。该算法只需要一次逆离散分数阶Fourier变换(IDFrFT),所有备选信号直接通过时域chirp圆周移位的加权和得到。仿真结果表明,当备选信号个数相同时,该算法与选择映射(SeLecting Mapping, SLM)算法的PAPR抑制性能相当,比部分传输序列(Partial Transmit Sequence, PTS)算法具有更好的PAPR抑制性能,同时,该算法较SLM和PTS算法的运算量降低。     

降低OFDM系统PAPR概率类技术的研究

正交频分复用(OFDM)是第四代移动通信的核心技术.然而OFDM系统中存在较高的峰值平均功率比(PAPR),研究了选择性映射法(SLM)和部分传输序列法(PTS)两种方案降低OFDM系统的PAPR,并且研究了子载波和子信道数目对SLM和PTS算法改善PAPR性能的影响.仿真显示这两种算法都能够减少PAPR出现的概率,从而减小PAPR对OFDM通信系统性能的影响.     

基于SLM-PTS算法融合的NC-OFDM峰均比优化

基于非连续正交频分复用（non-continuous orthogonal frequency division multiplexing，NC-OFDM）模型，提出和研究了选择映射（selected mapping，SLM）算法和部分传输序列（partial transmit sequence，PTS）算法，及其SLM-PTS融合优化技术，设计了融合模型和改进流程。仿真结果与其他文献方法进行了对比，验证了SLM-PTS的融合具有优秀的峰值平均功率比（peak to average power ratio，PAPR）降低能力，但缺点是算法实现复杂度过高。因此，又进一步提出了互补型映射和限幅的联合算法（SLM-Clipping）融合解决方案，并利用深度学习方法建立PAPRnet模型。仿真结果验证了此算法对NC-OFDM系统具有PAPR良好的抑制效果，而且能够提高仿真运算效率。     

降低FSO-OFDM系统峰值平均功率比研究

虽然OFDM调制技术在射频领域中已得到了广泛的研究,但在无线光领域中的研究才刚开始.由于FSO-OFDM系统中采用马赫-曾德尔(MZM)调制器进行电光转换,该调制器的转移特性曲线为余弦函数,存在很大的非线性问题,因此,FSO-OFDM系统比射频OFDM系统对PAPR更加敏感.为了降低系统PAPR,重点研究了基于Gola...     

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。     

Performance Analysis of the Clipping Scheme with SLM Technique for PAPR Reduction of OFDM Signals in Fading Channels

Since one of major problems of OFDM-based systems is high peak-to-average-power ratio (PAPR) of its transmitted signal, many PAPR reduction techniques and combined schemes with individual techniques have recently been developed. Among various techniques, the clipping technique has been widely used as a practical scheme owing to its low computational complexity and simplicity in implementation, while the selected mapping (SLM) technique is known to provide good PAPR reduction performance without signal distortion. Generally, the combined scheme of two PAPR reduction techniques, which are the clipping and the SLM, is expected to provide the enhanced performance of PAPR reduction, because the clipping noise of combined scheme would be less than that of single clipping technique, when the SLM technique is employed before clipping. However, the performance of clipping scheme with SLM technique has not been evaluated for practical systems over fading channels. In this paper, the performance of the clipping scheme with the SLM technique is theoretically analyzed and compared with simulation results over fading channels. The performance of combined scheme is analyzed with various clipping ratios, phase sets for SLM, and modulation schemes over flat and frequency selective fading channels. In addition, the effects of the clipping at the receiver and the oversampling on the BER performance are discussed. Based on the results of analysis, therefore, one can design the effective clipping scheme with the SLM technique for the PAPR reduction of OFDM-based systems.     

Reduction of the PAPR in OFDM Systems by Intelligently Applying Both PTS and SLM Algorithms

The orthogonal frequency division multiplex (OFDM) technique, which is used in the 4G communications, has a shortcoming of having a high peak to average power ratio (PAPR), and thus a lot of research has been conducted to reduce the PAPR in OFDM systems. The typical algorithms in this research area are the multi-time clipping algorithm, the \(\mu \)-law compression algorithm, SLM algorithm, PTS algorithm, and Golay complement sequence algorithm. It is found in this paper that the SLM and PTS algorithms have good performance in reducing the PAPR while having less information overhead than the Golay complement sequence algorithm, less distortion than the \({\mu }\)-law compression algorithm, and less BER than the clipping algorithm. Thus, a new PAPR reduction algorithm is proposed, which tries to intelligently apply both PTS and SLM algorithm, while utilizing their complementary advantages and avoiding their disadvantages. According to simulation results, the performance of the proposed algorithm has much better performance in reducing the PAPR than the SLM and PTS algorithms, with comparable computational complexity, BER performance, and information overhead.     

Modified selected mapping technique for PAPR reduction of coded OFDM signal

High peak-to-average power ratio (PAPR) of the transmitted signal is a major drawback of orthogonal frequency division multiplexing (OFDM). In this paper, we propose a modified selective mapping (SLM) technique for PAPR reduction of coded OFDM signal. In this technique, we embed the phase sequence, which is used to lower the PAPR of the data block, in the check symbols of the coded OFDM data block. It is shown that we can achieve both PAPR reduction from the SLM technique as well as error performance improvement from the channel coding with no loss in data rate from the transmission of side information. In addition, approximate expression for the complementary cumulative distribution function (CCDF) of the PAPR of the modified SLM technique is derived and compared with the simulation results.     

A Modified SLM Scheme With Low Complexity for PAPR Reduction of OFDM Systems

In this paper, we propose a new peak-to-average power ratio (PAPR) reduction scheme of orthogonal frequency division multiplexing (OFDM) system, called a modified selected mapping (SLM) scheme, which considerably reduces the computational complexity with keeping the similar PAPR reduction performance compared with the conventional SLM scheme. The proposed scheme is analytically and numerically evaluated for the OFDM system specified in the IEEE 802.16 standard. For the OFDM system with 2048 subcarriers, the proposed scheme with 4 binary phase sequences can reduce the complex multiplications by 63.5% with the similar PAPR reduction compared with the SLM scheme with 16 binary phase sequences.