联合星座扩展的预留子载波OFDM信号峰均比抑制算法

针对现有预留子载波TR技术对无线OFDM信号峰均比（PAPR）抑制性能效率低,且难以同时兼顾峰均比抑制、误码率（BER）性能损失及带外频谱分量扩展的问题,提出一种联合智能梯度映射主动星座扩展ACE的预留子载波峰均比抑制ACE-TR算法,能以较低的复杂度同时对信号峰均比和接收端误码率性能进行联合优化,并在迭代过程中消除因限幅处理所导致的信号带外频谱分量再生;特别是,由于在优化迭代过程中可以对迭代参数进行自适应调整,能够有效提高算法的适用灵活性。对算法进行了全面深入的理论分析,推导了其可获得的PAPR抑制增益理论界和接收信号误码率性能理论值。理论分析与仿真表明,ACE-TR算法能以更快的收敛速度产生所需的削峰信号,并同时获得优异的峰均比抑制、误码率及带外功率谱性能。     

一种降低正交频分复用调制信号峰平比的融合方法

提出了一种降低峰平比(PAPR)的融合算法,该算法在发射端对正交频分复用(OFDM)调制信号进行两次降低峰值处理,因而降低PAPR的能力远远优于常规的选择性映射法和压扩法,而该新方法传输信号的性能与压扩法相当。     

自适应压扩和IDFT技术降低光OFDM系统的PAPR

在光正交频分复用系统中,由于光功率放大器、调制器和光纤本身的非线性,高峰均功率比会大大降低系统的性能.为抑制光OFDM系统的PAPR,提出一种新的基于线性变换和自适应压扩技术的方案.仿真结果表明,与传统压扩方法相比,该方法既能更加有效地抑制光OFDM的PAPR,又能够使系统得到更好的误码率性能.     

光OFDM系统中基于PTS算法对峰均比抑制技术的分析

针对光正交频分复用(OFDM)系统中峰值平均功率比(PAPR)较高的缺点,重点研究了基于部分序列传输法(PTS)的峰均比抑制技术,提出一种改进的加强迭代PTS搜索技术(EIA-PTS),该技术能够降低原PTS的计算复杂度.仿真表明:原PTS方法随着相应参数的增加,迭代次数呈指数型增长,而EIA-PTS技术的迭代次数基本保持平稳且低于原PTS方法.在此基础上,又将EIA-PTS与削波(Clipping)技术相结合,提出了峰均比EIA-PTS-Clipping联合抑制技术.与EIA-PTS技术相比,该技术进一步提升了系统PAPR的抑制性能,能在系统误码率(BER)性能与PAPR抑制效果之间取得更好的折衷,具有较高的利用价值.     

水下DCO-OFDM系统峰均比抑制算法

针对直流偏置光正交频分复用(DCO-OFDM)水下光无线通信(UOWC)系统存在高峰均功率比(PAPR)问题,文中采用自适应迭代限幅滤波(AICF)法降低信号PAPR,并根据均方误差最小准则(MMSE)对限幅后的失真信号进行补偿,使失真信号与原始信号间的误差达到最小。仿真结果表明:与传统方法相比,该方案在相同的迭代次数条件下,能进一步降低PAPR,并且保证误码率(BER)性能不受影响。     

基于载波干涉和压扩技术的OFDM系统PAPR降低算法

提出一种新的基于联合使用载波干涉技术和μ-law压缩扩张技术的正交频分复用(OFDM)系统峰均比(PAPR)降低算法.该方案通过载波干涉扩展在一定程度上降低了系统的峰均比,并获得了较大的频率分集增益.此外,更为显著的峰均比降低在压缩扩张单元获得.仿真结果表明,通过合理选取压扩参数,该方案以较低的计算复杂度有效地降低了OFDM系统的峰均比,同时获得可靠的系统误码率性能.     

抑制OFDM信号PAPR的改进脉冲整形

脉冲整形(PS)技术是一种有效可行的针对OFDM信号的PAPR抑制方法,它可以对发射信号进行频谱整形,降低系统误码率(BER),还可以用来抑制信号的峰均比,但不同的整形脉冲波形具有不同峰均比(PAPR)抑制性能和系统BER。提出一种改进的奈奎斯特脉冲,可以提高OFDM信号PAPR的抑制性能,同时不降低系统的BER,频带利用率高。仿真结果表明,其综合性能明显优于传统的升余弦和反转指数脉冲,是一种低复杂度的有效解决方案。     

基于压扩变换的直接检测O-OFDM系统的实验研究

仿真研究并实验验证了直接检测光正交频分复用（O-OFDM）系统中引入压扩变换（CT）技术可降低OFDM信号峰值平均功率比（PAPR）和提高接收灵敏度。仿真结果表明,压扩系数μ越大,信号PAPR越低;随着μ的增大,系统误码率（BER）呈现先下降后上升的趋势。权衡PAPR的降低度和系统BER,选择μ=2时为最佳。实验研究表...     

自适应调制STBC-OCT预编码在MIMO-OFDM VLC系统中的研究

为改善多入多出正交频分复用(MIMO-OFDM)的可见光通信(VLC)系统的性能,提出将自适应调制、空时分组码(STBC)及正交循环矩阵变换(OCT)相结合应用于该系统中,设计并建立了一个2×2 MIMO-OFDM系统,来评估所提出的自适应调制STBC-OCT预编码方案的性能。在不同的调制方式、不同的编码方案下研究其误码率（BER）性能、峰均功率比(PAPR)性能、不同的直流偏置（DC）与驱动电压峰值(V_PP)下的BER性能。结果表明:与其它预编码方法相比,采用自适应调制STBC-OCT预编码方案能获得相对均衡且高的信噪比（SNR）值及更低的PAPR。当传输距离为0.5 m,DC为2.7 V、V_PP为2.7~2.8 V时所提方案能获得最佳的BER性能,并始终低于前向纠错(pre-FEC)门限7%的阈值3.8×10?3。该方案能够有效地克服MIMO-OFDM VLC系统带宽限制的问题并提供最佳的可靠性。     

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。     

Reduction of PAPR of OFDM Signals Using Nonlinear Companding Transform

In this paper, we propose and evaluate a novel nonlinear companding transform (NCT) scheme for peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems. The key idea of the proposed scheme is to transform the original Gaussian-distributed OFDM signals into a specific statistics form, whose target probability density function is defined by a piecewise function with an inflexion point. By properly choosing the transform parameters, this scheme can enable more flexibility and freedom in the companding form so that a favorable tradeoff between PAPR reduction and bit error rate (BER) performance can be achieved. Moreover, compared to existing NCT techniques, this scheme dramatically decreases the impact of companding distortion on the BER performance to reach a given PAPR level. The analytical expressions regarding the achievable transform gain in PAPR, complementary cumulative density function, attenuation coefficient, and selection criteria of transform parameters are derived. Simulation results justify the significance and accuracy of the analytical expressions presented.     

Transforming the Statistical Distribution of Wireless OFDM Signal for PAPR Reduction

To reduce the high peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signal, a novel nonlinear companding transform (CT) scheme is proposed in this paper. This scheme can reallocate both the amplitude/power as well as statistical distribution of the companded signal more reasonably and flexibly than existing CT methods with low computational complexity. By choosing an appropriate companding parameter, it can provide more effective PAPR reduction but at the price of a minimal amount of bit-error-rate (BER) performance degradation caused by the companding distortion. The closed-form expressions including the achievable PAPR gain, signal attenuation factor, and corresponding selection criteria for the companding parameter were derived. Computer simulations demonstrate that the scheme significantly improves the overall performances of OFDM system in terms of PAPR, BER and bandwidth efficiency under the multipath fading channel or with the high power amplifier.

     

Threshold-based piecewise companding transform for PAPR reduction in OFDM systems

Piecewise companding transform is a flexible and efficient way to solve the high peak-to-average power ratio (PAPR) problem for orthogonal frequency division multiplexing (OFDM) systems. A novel threshold-based piecewise companding transform is proposed in this paper. Based on the statistical characteristics of amplitudes, OFDM signals are classified into three groups (i.e., small, average and large signals). Different from conventional approaches, two dedicated designed thresholds are set to amplify the small signals and compress the large signals, respectively. Simulation results verify the improvement in PAPR reduction of the proposed scheme. Moreover, a lower bit error rate (BER) performance loss can be obtained by introducing the iterative detection with a moderate increase in complexity.     

Nonlinear companding transform for reducing peak-to-average power ratio of OFDM signals

A new nonlinear companding transform scheme is proposed to reduce the peak-to-average ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) signals. By exploiting statistical distribution of transmitted OFDM signals, the proposed scheme effectively reduces the PAPR by compressing the peak signals and expanding the small signals, while maintaining the average power unchanged by properly choosing transform parameters. The fact that the proposed companding scheme is described by a single-valued function allows to be transformed before amplification and to be restored the signals at the receiver. The proposed scheme can be applicable with any modulation format and subcarriers. Our simulations results confirm that the suggested scheme exhibits a good ability to reduce PAPR and a good BER performance with a solid state power amplifier (SSPA) in an additive white Gaussian noise (AWGN) channel.     

降低OFDM信号峰均功率比的压扩方法研究

本文通过理论推导和分析,确定了基于误差函数降低正交频分复用(OFDM)系统峰均功率比的非线性压扩方法中两个关键参数的取值,修正了以前的结果,并在此基础上提出了一种新的压扩函数来降低OFDM系统的峰均功率比.理论分析和仿真结果表明,新的压扩方法能够在保持原信号平均功率不变的情况下使峰均功率比降低到7.8dB以下,并且系统具有较好的误比特率性能.     

IGCC for PAPR Reduction in OFDM Systems Over the Nonlinearity of SSPA and Wireless Fading Channels

High peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems seriously impacts power efficiency in radio frequency section due to the nonlinearity of high-power amplifiers. In this article, an improved gamma correction companding (IGCC) is proposed for PAPR reduction and investigated under multipath fading channels. It is shown that the proposed IGCC provides a significant PAPR reduction while improving power spectral levels and error performances when compared with the previous gamma correction companding. IGCC outperforms existing companding methods when a nonlinear solid-state power amplifier (SSPA) is considered. Additionally, with the introduction of \(\alpha , \beta , \gamma \), and \(\varDelta \) parameters, the improved companding can offer more flexibility in the PAPR reduction and therefore achieves a better trade-off among the PAPR gain, bit error rate (BER), and power spectral density (PSD) performance. Moreover, IGCC improves the BER and PSD performances by minimizing the nonlinear companding distortion. Further, IGCC improves signal-to-noise ratio (SNR) degradation (\(\varDelta _{\mathrm{SNR}}\)) and total degradation performances by 12.2 and 12.8 dB, respectively, considering an SSPA with input power back-off of 3.0 dB. Computer simulation reveals that the performances of IGCC are independent of the modulation schemes and works with arbitrary number of subcarriers (N), while it does not increase computational complexity when compared with the existing companding schemes used for PAPR reduction in OFDM systems.     

电力线通信中降低峰均比的有效方法

针对应用于低压电力线通信的OFDM系统具有较高的峰均比的特点,本文通过比较已有的降低峰均比的技术,提出了一种预编码与压扩技术相结合的改进方案,给出了其实现方法,并通过建立的电力线信道仿真平台,对其进行了仿真.仿真结果表明所提算法能够改善信号的峰均比,减小误码率.     

Linear Companding Transform for the Reduction of Peak-to-Average Power Ratio of OFDM Signals

A major drawback of orthogonal frequency-division multiplexing (OFDM) signals is their high peak-to-average power ratio (PAPR), which causes serious degradation in performance when a nonlinear power amplifier (PA) is used. Companding transform (CT) is a well-known method to reduce PAPR without restrictions on system parameters such as number of subcarriers, frame format and constellation type. Recently, a linear nonsymmetrical companding transform (LNST) that has better performance than logarithmic-based transforms such as $mu$-law companding was proposed. In this paper, a new linear companding transform (LCT) with more design flexibility than LNST is proposed. Computer simulations show that the proposed transform has a better PAPR reduction and bit error rate (BER) performance than LNST with better power spectral density (PSD).      

低复杂度OFDM信号峰均功率比压缩技术

本文提出了一种用于减小OFDM信号峰均功率比(Peak-to-Average Power Ratio,PAPR)的压缩扩张变换技术.该技术能够以相对较低的计算复杂度大大降低OFDM信号的PAPR.作为应用实例,本文分析了线性压缩扩张、非线性对称压缩扩张和非线性准对称压缩扩张的PAPR改善幅度、计算复杂度、及其用于OFDM系统时对系统误比特率(BER)的改善等方面的性能.实验仿真表明,与采用传统的限幅滤波方法相比,本文提出的技术可以获得较明显的性能增益.     

Two novel nonlinear companding schemes with iterative receiver to reduce PAPR in multi-carrier modulation systems

Companding transform is an efficient and simple method to reduce the Peak-to-Average Power Ratio (PAPR) for Multi-Carrier Modulation (MCM) systems. But if the MCM signal is only simply operated by inverse companding transform at the receiver, the resultant spectrum may exhibit severe in-band and out-of-band radiation of the distortion components, and considerable peak regrowth by excessive channel noises etc. In order to prevent these problems from occurring, in this paper, two novel nonlinear companding schemes with a iterative receiver are proposed to reduce the PAPR. By transforming the amplitude or power of the original MCM signals into uniform distributed signals, the novel schemes can effectively reduce PAPR for different modulation formats and sub-carrier sizes. Despite moderate complexity increasing at the receiver, but it is especially suitable to be combined with iterative channel estimation. Computer simulation results show that the proposed schemes can offer good system performances without any bandwidth expansion.