新的低复杂度降低OFDM信号峰均功率比的压缩扩张技术

本文提出了一种新的降低OFDM信号峰均功率比的压缩扩张技术.文中通过与传统压缩扩张技术的对比,详细介绍了新压缩扩张技术的方法和计算复杂度、并从统计角度分析了对峰均功率比及其用于OFDM系统时对系统误比特率的改善等方面的性能.数值仿真说明,与传统压缩扩张技术相比较,新压缩扩张技术不仅具有更低的计算复杂度,而且可以获得更为高效的性能增益.     

一种降低PTS复杂度的新方法

正交频分复用(OFDM)的主要缺点是峰平比(PAPR)过高,由于OFDM发射端功率放大器的非线性,高的峰平比会导致信号的频谱扩展,同时降低了放大器的工作效率.提出了一种基于部分传输序列(PTS)改善正交频分复用信号峰平比(PAPR)的优化算法.仿真结果表明,优化算法大大降低了系统的复杂性,实现更容易,在性能和计算复杂度之间取得了较好的折衷.     

一种基于压扩变换降低OFDM系统峰均比的方法

对一种用于减小OFDM信号峰均比的压缩扩展技术进行了分析,该技术能够以相对较小的计算复杂度大大降低OFDM信号的PAPR。作者采用μ率压扩算法,其中的压扩拐点值取为均值而不是传统方法中的峰值。计算机仿真表明这种方法能大大降低OFDM信号的PAPR,并且与PTS技术相比这种方法更有效,计算复杂度也比PTS技术低。     

一种降低OFDM系统PAPR的改进压扩方法

正交频分复用（OFDM）技术是一种多载波调制方式。作为第四代移动通信系统的核心技术,OFDM己成为当今高速无线通信领域的研究热点。正交频分复用（OFDM）系统存在高峰值平均功率比（PAPR）问题,这一问题会导致系统性能降低,为其实用化设置了障碍。文中研究了一种改进的降低PAPR的非线性压缩与扩展算法,可以得到更好的PAPR性能。该方法的特点在于采用一种计算复杂度较低的非线性压扩函数,同时融合了叠加训练序列方法的改进非线性压扩算法,从而有效地降低系统PAPR。理论研究和仿真结果表明,与传统方法相比,所提出的改进压缩与扩展方法可以在降低系统复杂度的同时得到更好的PAPR性能。     

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.     

一种降低OFDM信号PAPR的改进PTS方法

正交频分复用(OFDM)系统的一个主要缺点是信号的峰值功率与平均功率比(PAPR)很高。本文研究了利用信号扰码技术降低OFDM系统峰均比的一种典型算法:部分传输序列法(PTS),提出了一种将随机分割方法、交织分割方法与迭代移位搜索加权因子相结合的改进PTS算法。仿真结果表明,改进后的算法在改善PAPR性能和计算的复杂度之间取得了较好的折衷。     

降低OFDM系统中PAPR的次优化PTS算法

正交频分复用(OFDM)系统的主要缺点是峰均功率比(PAPR)增大会严重地降低了发射机中高功率放大器(HPA)的效率.部分传输序列(PTS)算法能有效地降低OFDM信号的PAPR概率,但随着PTS中分割子块的增多也带来了高的计算复杂度.为此,文中提出一种新的PTS算法,该算法比传统的穷尽搜寻法具有更佳的性能.仿真结果表明,文中所提PTS算法在降低PAPR相似的情况下,具有更小的计算复杂度.     

基于多层循环搜索的部分传输序列算法

高峰均功率比是OFDM(Orthogonal Frequency Division Multiplexing)信号的主要缺点之一,峰均比过高会加重OFDM系统的非线性失真.部分传输序列算法(Partial Transmit Sequences,PTS)是有效降低OFDM信号峰均功率比的传统算法.该算法由于采用穷尽式搜索方式搜索最优相位因子组合,因此具有较高的计算复杂度,并且随着子数据块分组数的增加部分传输序列算法计算量呈指数形式上升,很难在实际的通信系统中得到应用.本文提出了一种具有较低计算复杂度的多层循环部分传输序列算法( Multi-Loop PTS),该算法通过对相位因子进行多层循环计算比较,舍去了部分冗余计算,且避免了相位因子搜索陷入局部最优点,在保证算法性能的同时降低了算法复杂度.并且通过仿真分析证明了本文提出的MLPTS算法能够较好的权衡PAPR性能和计算复杂度之间的关系.     

降低OFDM系统峰平比的改进PTS技术研究

正交频分复用(OFDM)技术被认为是第四代移动通信系统的核心技术之一,但是该系统中的高峰平比(PAPR)问题一直是将该技术实用化的一大障碍。本文研究了利用信号扰码技术降低OFDM系统峰平比的一种典型算法:部分传输序列法(PTS),指出其适用的场合,提出了一种将随机分割子序列与迭代移位搜索加权因子相结合的改进PTS算法。仿真结果表明:改进后的算法在改善PAPR性能和计算的复杂度之间取得了很好的折衷。     

一种降低OFDM系统PAPR的改进限幅噪声压缩方法

为降低正交频分复用(Orthogonal Frequency Division Multip lexing,OFDM)系统峰均功率比(Peak to Average Power Ratio,PAPR),在最近提出的限幅噪声压缩(Clipping noise Compression,CNC)方法基础上,提出了一种基于改进的艾里压缩函数来抑制限幅噪声的方法(CNC Improved Airy Function,CNC IAF)。改进的艾里压缩函数形式简单,计算复杂度较小,并且对归一化限幅噪声的取值条件没有CNC方法的严格。仿真结果表明,CNC IAF方法能够抑制OFDM信号的PAPR同时有效地降低系统误码率,性能比CNC方法均有改善。     

降低OFDM峰均比的压扩变换方法研究

基于压扩变换的OFDM信号PAPR抑制方法具有实现简单、抑制效果明显的优点。对现有压扩变换PAPR抑制方法进行了分析和研究,并在此基础上,提出了一种基于均匀分布的压扩变换方法。该方法能够将任何分布的调制信号均变为均匀分布。仿真结果表明,与现有方法相比,该方法抑制PAPR的效果较为明显,且易于实现,具有较好的实用性。     

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.

     

联合迭代滤波与压扩参数优化的OFDM信号峰平比抑制

针对现有基于压扩变换处理的信号峰平比抑制方法性能单一且参数固定等缺陷,提出一种联合迭代滤波与自适应压扩参数优化的OFDM信号峰平比抑制方案。该方案能够同时对信号的峰平比PAPR和接收端误码率BER性能进行联合优化,并在迭代过程中有效消除因信号幅度畸变所引起的带外频谱再生;所提信号压扩及解压扩函数形式简单,计算复杂度较小;推导并给出了该方案可获得的PAPR抑制增益和BER理论性能界。仿真结果表明,该方案可同时获得较好的信号PAPR抑制、误码率以及带外功率谱性能,并在迭代过程中对压扩参数进行自适应调整,能够有效提高算法的适用灵活性。     

降低OFDM信号峰均功率比的分段线性压扩变换

为了降低OFDM信号的峰均功率比(PAPR),设计了一种分段线性压扩变换.对小幅度通过数乘变换进行线性放大,而对大幅度先利用数乘变换进行线性缩小,再对缩小后的幅度进行等量放大.得到的压扩变换是分段线性且连续的,用低复杂度的线性运算抑制峰均比,同时用分段的方法减小压扩对系统性能的影响.理论分析和仿真表明,通过数乘因子和增...     

A low‐complexity companding technique using Padé approximation for PAPR reduction of an OFDM system

Orthogonal Frequency Division Multiplexing (OFDM) systems have become the most promising wireless communication systems in the recent years. For OFDM systems, there is one major drawback, which is the high peak‐to‐average power ratio (PAPR). Companding techniques have been frequently proposed to reduce PAPR. Exponential companding technique offers efficient PAPR reduction with a low bit error rate (BER). However, the exponential companding technique is difficult to implement. This paper utilizes the Padé approximation to simplify the exponential companding technique. The simulation results demonstrate that the proposed companding technique offers the same performance results as those of the exponential companding technique, while Additive White Gaussian Noise (AWGN) or multipath fading channel is considered. Further, the hardware implementation results show that the complexity of the proposed companding technique is less than that of the exponential companding technique. Copyright © 2011 John Wiley & Sons, Ltd.     

A computationally efficient selected mapping technique for reducing PAPR of OFDM

In orthogonal frequency division multiplexing (OFDM) system, high value of peak-to-average power ratio (PAPR) is an operational problem that may cause non-linear distortion resulting in high bit error rate. Selected mapping (SLM) is a well known technique that shows good PAPR reduction capability but inflicts added computational overhead. In this paper, using Riemann sequence based SLM method, we applied reverse searching technique to find out low PAPR yielding phase sequences with significant reduction in computational complexity. Additionally, we explored side-information free transmission that achieves higher throughput but sacrifices PAPR reduction. Finally, to overcome this loss in PAPR reduction, we proposed application of Square-rooting companding technique over the output OFDM transmitted signal. Simulation results show that the proposed method is able to compensate the sacrifice in PAPR and achieved PAPR reduction of 8.9 dB with very low computational overhead.     

Exponential companding technique for PAPR reduction in OFDM systems

In this paper, a new nonlinear companding technique, called "exponential companding", is proposed to reduce the high Peak-to-Average Power Ratio (PAPR) of Orthogonal Frequency Division Multiplexing (OFDM) signals. Unlike the /spl mu/-law companding scheme, which enlarges only small signals so that increases the average power, the schemes based on exponential companding technique adjust both large and small signals and can keep the average power at the same level. By transforming the original OFDM signals into uniformly distributed signals (with a specific degree), the exponential companding schemes can effectively reduce PAPR for different modulation formats and sub-carrier sizes. Moreover, many PAPR reduction schemes, such as /spl mu/-law companding scheme, cause spectrum side-lobes generation, but the exponential companding schemes cause less spectrum side-lobes. Computer simulations, which consider a baseband OFDM system with Additive White Gaussian Noise (AWGN) channels and a Solid State Power Amplifier (SSPA), show that the proposed exponential companding schemes can offer better PAPR reduction, Bit Error Rate (BER), and phase error performance than the /spl mu/-law companding scheme.     

降低OFDM系统峰均比的压扩算法对系统误码率的影响

讨论了降低OFDM系统峰均比所采用的基于数值变换的压缩扩张算法,给出了几种压扩函数,推导出了使用压扩变换后OFDM系统的误码率公式,由此分析了压扩算法对OFDM系统性能的影响。可以看出,该算法不仅能有效降低OFDM系统的峰均比,而且能降低系统的误码率。仿真结果表明,本文给出的公式较好地反映了使用该算法后OFDM系统的误码性能。     

Hybrid Zadoff‐Chu and multilateral piecewise exponential companding transform–based PAPR reduction technique in OFDM systems

The orthogonal frequency‐division multiplexing (OFDM) is a multicarrier modulation system that is used to transmit the large volume of data to the receiver. Reducing the peak‐to‐average power ratio (PAPR) in OFDM system is one of the demanding and crucial task in recent days. For this reason, various precoding and companding mechanisms are developed in the traditional works, but it remains with the limitations of increased complexity, reduced performance, and nonlinear distortion. The reduction of PAPR is achieved by minimizing the companding distortion with the enhancement of the bit error rate (BER) performance significantly. Then, in order to avoid clipping in OFDM, a multilateral piecewise exponential companding transform (MPECT) method has been utilized rather than using piecewise exponential companding transform (PEC) where PAPR is getting reduced. The OFDM is very sensitive to synchronizing error. To overcome this sensitivity, employ the Zadoff‐Chu sequence to carrier frequency offsets. Zadoff‐Chu matrix transform (ZCMT) has numerous merits among the other ODFM systems such as the improvement in the performance of the channels that are fading away and provides an ideal periodic autocorrelation and a constant magnitude periodic cross correlation. Both of these techniques provide improvement in the ODFM systems. To get more efficiency, this paper aims to develop a hybrid technique by integrating the ZCMT and MPECT techniques for reducing the PAPR in OFDM systems. Further, convolutional encoding is applied for better BER and PAPR. The simulation results of the proposed ZCMT‐MPECT technique are evaluated and compared with the conventional OFDM and other precoding methods.