OFDM系统中降低峰均比的PTS技术研究

正交频分复用技术(OFDM)的优点是具有较高的频谱利用率和较强的抗多径衰落的能力,被看作是B3G乃至4G系统中的核心技术之一,但是OFDM系统存在较高的峰均功率比(PAPR)。部分传输序列(PTS)方法通过选择合适的相位旋转因子序列以降低信号峰值出现的概率,从而降低OFDM信号的峰均比值,因此不会使信号发生崎变,但是传统的PTS技术计算复杂度大大,因而在保证有效降低OFDM信号峰均比的前提下大幅度降低传统PTS的复杂度就成为PTS技术实用化的关键。     

基于格雷码的低计算量改进PTS方法

部分传输序列(PTS)方法能够有效地降低OFDM系统峰均功率比(PAPR)过高的问题,但是该方法的主要缺点是计算复杂度高.针对这一缺点,提出一种新的低计算复杂度PTS方法,采用格雷码生成加权系数序列,使之在降低运算量的同时更易于硬件实现.分析和仿真结果表明,和传统PTS方法相比,该方法降低了运算量和实现复杂度,同时保持了系统PAPR的性能.     

可见光OFDM系统的峰均比降低方法

分析可见光通信(VLC)系统中OFDM信号的高峰均比(PAPR)概率分布。为降低VLC系统中OFDM信号的峰均比,将部分传输序列(PTS)方法进行适当改进,使之适合在VLC系统中进行传输,将其与离散傅里叶变换展开(DFTS)相结合进一步降低可见光OFDM系统的峰均比。仿真结果表明,与原信号仅采用DFT展开或者PTS方法相比,DFTS-PTS方法使系统的峰均比分别降低了约3.5dB、2.7dB、1.2dB,具有更好的峰均比性能。     

低复杂度部分传输序列算法及其现场可编程门阵列实现

在传统的部分传输序列(PTS)算法中,计算复杂度高,且需传送边带信息,不利于硬件实现。针对传统PTS算法的这些缺点,设计出一种基于导频信息传送相位旋转因子并结合m序列降低复杂度的PTS算法。其中,m序列作为相位旋转因子,可以降低序列产生硬件实现资源的消耗;导频传送相位旋转因子可以免除边带信息的发送。采用Matlab仿真验证了该算法的可行性,并设计出适合在现场可编程门阵列(FPGA)中实现的正交频分复用(OFDM)系统峰均比抑制模块。通过硬件测试,此模块在降低OFDM系统的复杂度的同时,也能够很好完成峰均比抑制功能。     

基于迭代的部分传输序列备选信号相关性降低峰均功率比算法

部分传输序列(PTS)算法能够有效降低正交频分复用(OFDM)系统中高峰均功率比(PAPR)问题,并且不会引入失真,但PTS算法具有较高的复杂度。针对该问题,提出一种称为相关循环迭代的PTS(CC-IPTS)新算法。该算法利用迭代PTS在搜索最优相位因子时相邻相位因子间的关系以及迭代PTS(IPTS)中备选信号间相关性的特点,进行循环迭代。仿真结果表明,所提算法不但取得了较低的算法复杂度,还有效降低了峰均功率比。     

基于改进粒子群算法的PTS抑制OFDM信号PAPR

PTS技术是一种有效抑制OFDM信号峰均功率比(PAPR)技术。本文提出基于改进DPSO算法的PTS技术抑制OFDM信号PAPR。相比DPSO,改进DPSO算法在计算复杂度相同的条件下,抑制PAPR性能增强。     

降低OFDM系统PAPR的PTS算法研究与FPGA实现

正交频分复用是一种多载波传输技术,在无线通信应用中有很好的发展前景.但是在OFDM中存在一个比较大的缺点:过高的峰值平均功率比.研究了OFDM系统中PAPR算法中的部分传输序列(Partial Transmit Sequence,PTS)算法及其峰均比的抑制性能,并在其基础上提出一种能够降低传统PTS算法复杂度的m序列PTS算法,并采用MATLAB仿真验证了算法的可行性.提出了在FPGA中实现的峰均比抑制模块设计方案并加以验证,结果证明此设计方案能够很好完成峰均比抑制功能.     

OFDM系统中低复杂度相位因子优化PTS算法

部分传输序列(partial transmit sequence,PTS)算法能够有效降低正交频分复用(orthogonal frequency division multiple-xing,OFDM)系统的峰均比(peak to average ratio,PAPR),但算法的计算复杂度较高.针对这一问题,提出了低复杂度的相位因子优化的部分传输序列算法(reduced calculation-partial transmit sequence,RC-PTS).上述算法在系统发送端对时域数据乘以相位旋转因子来减少计算复杂度,在系统接收端依据数据星座点欧氏距离最大的原则,给出优化后的相位因子的表达式.仿真分析了所提算法的峰均功率比(peak to average power ratio,PAPR)抑制、计算复杂度降低比(computational complexity reduction ratio,CCRR)和系统误比特率(bit error rate,BER)性能,仿真结果表明,所提算法不仅明显降低了计算复杂度,而且有效抑制了OFDM信号的PAPR,算法的BER性能与原始信号的基本一致.     

改进的GCS序列抑制OFDM峰均比方法

针对格雷互补序列GCS(Golay Complementary Sequence)图案少、只能用在子载波数量少的OFDM系统中的缺点,运用信号复制生成理论和相位预调制技术,提出一种改进的大子载波数OFDM系统PAPR抑制算法。算法能够在保证系统误码性能的情况下,有效降低OFDM系统峰均比,相比传统方法减小了计算的复杂度。仿真结果表明,对于已经采用PAPR抑制而设计的WLAN标准前导序列,该算法仍然可以将PAPR降低约1.3 dB,具有较高的工程应用价值。     

基于部分传输序列的OFDM系统峰值平均功率比优化算法

部分传输序列(Partial transmit sequences, PTS)算法能够有效改善正交频分复用(Othogonal frequency division multiplexing, OFDM)系统的高峰值平均功率比(Peak-to-average power ratio, PAPR),但是计算复杂度较高.提出一种新的粒子群优化(Discrete particle swarm optimization, DPSO)算法,将PTS算法中最优相位因子的求解转化为具有非线性约束的全局优化问题,采用汉明距离衡量信号距离,重新定义了粒子更新公式,使相位因子能够以一定的概率与最优相位序列的排列趋于相同,得到具有较低峰值平均功率比的信号.同时,算法避免了穷举搜索,具有较低的计算复杂度.仿真结果证明,与传统PTS算法相比较,所提算法能够在搜索复杂度较低的情况下,获得良好的峰值平均功率比降低性能.     

Using evolutionary computation technique for trade-off between performance peak-to average power ration reduction and computational complexity in OFDM systems

A low-complexity partial transmit sequence (PTS) technique for reducing the peak-to-average power ratio (PAPR) of an orthogonal frequency division multiplexing (OFDM) system is presented. However, PTS technique requires an exhaustive search over all combinations of allowed phase weighting factors, and the search complexity increases exponentially with the number of sub-blocks in OFDM system. Hence, there has been a trade-off between performance PAPR reduction and computational complexity in PTS OFDM system. The proposed is a sub-optimum PTS for PAPR reduction of OFDM system. Simulation results demonstrate that the superiority of evolutionary computation technique-particle swarm optimization (PSO) based on PTS which can be utilized for finding the optimum phase weighting factors, and can achieve the lower PAPR and computational complexity of OFDM systems. In addition, our evolutionary computation technique can be used to reduce reduction PAPR with comparable performance to genetic algorithm-based PTS, with much less computation cost.     

SER analysis of PTS based techniques for PAPR reduction in OFDM systems

A major drawback of orthogonal frequency division multiplexing (OFDM) is high peak-to-average power ratio (PAPR). An OFDM signal with high PAPR requires power amplifier?s (PAs) with large linear operating ranges but such PAs are difficult to design and costly to manufacture. Therefore, to reduce PAPR various methods have been proposed. One of the existing technique to reduce PAPR is partial transmit sequences (PTS). The major drawback of this technique is that it requires transmission of side information (SI) with each OFDM symbol, which results in low bandwidth efficiency. It is hard to recover the side information from the OFDM signal received at the receiver.The two methods, which do not require SI to decode the OFDM symbol at the receiver, are multi-point square mapping combined with PTS (M-PTS) and concentric circle mapping based PTS (CCM-PTS). In this paper, the SER performance of PTS based methods namely CCM-PTS and M-PTS over AWGN channel is mathematically analyzed. The SER performance of CCM-PTS over AWGN is analyzed using two decoding techniques, namely minimum distance decoding and circular boundary decoding, whereas M-PTS is analyzed using minimum distance decoding. The simulation results for SER performance of CCM-PTS and M-PTS, over fading channel, have been presented using computer simulations and the SER performance of CCM-PTS by both the decoding techniques is compared with M-PTS. Also, a comparison of PAPR reduction capability and computational complexity of CCM-PTS and M-PTS has been presented. CCM-PTS method almost has the same PAPR reduction capability as M-PTS, but its SER performance is better than M-PTS and uses a simpler method to decode the data symbols.     

降低OFDM系统峰均比的PTS重复搜索算法

针对正交频分复用（OFDM）系统在多个子载波信号叠加输出时,容易出现高峰值平均功率比的问题。研究了系统中出现过高峰均功率比的原因,并对现有两种概率类抑制峰均功率比技术进行了相关仿真比较。提出了一种基于部分传输序列技术的抑制PAPR重复搜索算法。该方法采用重复分块搜索方法,对最优的相位序列进行二次搜索。仿真结果证明,与传统PTS算法相比较,改进算法能够在搜索复杂度较低的情况下,获得良好的峰值平均功率比降低性能。     

降低OFDM峰均功率比的选择性映射和部分传输序列技术

对用于降低OFDM系统的峰均功率比的选择性映射SLM和部分传输序列PTS两种技术进行分析研究,并进行相应的仿真。仿真结果表明PTS方法的性能要优于SLM方法,且PTS方法中随着支路数的增加,PAPR性能越好。     

降低FBMC-OQAM峰均值比的低复杂度PTS算法

针对滤波器组多载波/正交幅度调制（FBMC-OQAM）系统中,功率峰均值比（PAPR）过高且传统抑制方法复杂度过高难以实现的问题,提出了一种应用在FBMC-OQAM系统中的新的抑制方法。首先,在传统部分传输序列（PTS）方法的基础上根据系统特性进行改进,得到迭代PTS（IPTS）算法,较传统PTS算法计算复杂度有明显降低;其次,将IPTS算法与限幅（Clipping）算法相结合,作为一种新的IPTS-Clipping联合算法应用在FBMC-OQAM系统中,该算法先利用IPTS算法对FBMC信号进行处理,再利用限幅方法进一步抑制系统的PAPR。理论分析和仿真实验结果表明,与传统PTS算法相比,所提算法减少了约70%的计算次数,当累计分布函数CCDF为10^-3时,所提算法的PAPR值较原始信号降低了约48.5%,较PTS算法降低了33%,抑制效果明显优于其他方法。所提算法不仅能够显著抑制FBMC系统的PAPR,同时复杂度远低于其他原始算法,具有十分良好的性能。     

基于改进离散粒子群的OFDM系统峰均比抑制

部分传输序列(PTS)是抑制正交频分复用系统峰均比的有效方法之一,但该算法需要进行最佳相位因子的全遍历搜索,存在计算复杂度偏高的问题.因此针对这一问题,本文提出一种基于离散粒子群优化PTS的峰均比抑制算法.所提算法首先定义了一种新的确定惯性权重的方法,然后引入变异算子对原始速度更新公式进行改进,解决了传统离散粒子群算法易于早熟,往往很难收敛到全局最优的缺陷.仿真结果表明,本文所提算法能获得优于传统DPSO算法0.3 dB左右的PAPR性能,且计算复杂度低于传统PTS算法.     

A low-complexity multiple signal representation scheme in downlink OFDM-CDMA

OFDM-CDMA is an attractive technique for broadband wireless communication. However, the high peak-to-average power ratio (PAPR) of the downlink signals, generated from multiple spread codes, remains a serious problem. In this paper, a low-complexity multiple signal representation (MSR) scheme is proposed to control the PAPR problem in downlink OFDM-CDMA systems. The proposed scheme generates multiple candidate signals by a novel user grouping scheme, which is without distortion and can provide more PAPR reduction than the conventional MSR schemes, such as partial transmit sequence (PTS) and selective mapping (SLM). Furthermore, a low-complexity processing structure is developed using a novel joint spreading and inverse fast Fourier transform (S-IFFT) to simplify the generation of multiple candidate signals. Complexity analysis and numerical results show that the OFDM-CDMA systems employing the proposed scheme have better tradeoff between PAPR reduction and computational complexity, compared with the conventional MSR schemes.     

Peak-Average-Power Ratio Techniques for 5G Waveforms Using D-SLM and D-PTS

Multicarrier Waveform (MCW) has several advantages and plays a very important role in cellular systems. Fifth generation (5G) MCW such as Non-Orthogonal Multiple Access (NOMA) and Filter Bank Multicarrier (FBMC) are thought to be important in 5G implementation. High Peak to Average Power Ratio (PAPR) is seen as a serious concern in MCW since it reduces the efficiency of amplifier use in the user devices. The paper presents a novel Divergence Selective Mapping (DSLM) and Divergence Partial Transmission Sequence (D-PTS) for 5G waveforms. It is seen that the proposed D-SLM and PTS lower PAPR with low computational complexity. The work highlighted a combination of multi-data block partial transmit schemes along with tone reservation. In this, an overlapping factor is used to determine the number of data blocks for every group. Here, considering only those data blocks that have minimum signal power, the use of DSLM and DPTS are required to eliminate the segment’s peaks. Simulation results reveal that the suggested hybrid technique proves to be better than the conventional PTS scheme. Furthermore, the power saving performance of FBMC and NOMA is compared with the Orthogonal Frequency Division Multiplexing (OFDM) waveform.