A Low-Complexity Compressive Sensing Algorithm for PAPR Reduction

One of the major challenges in orthogonal frequency division multiplexing system is its high peak-to-average-power ratio (PAPR). Among the existing PAPR reduction technologies, clipping is the most often used one due to its simplicity of implementation. But it induces signal distortion. In this paper, we propose a new PAPR reduction method which introduces compressive sensing theory to help the clipping and signal recovery processes. Our method has superior symbol-error-rate (SER) performance compared with traditional clipping, and at the same time has better PAPR reduction performance compared with traditional tone reservation based algorithms. What is more, different from the existing high-complexity compressive sensing based scheme which tries to solve an optimization problem, the proposed algorithm uses orthogonal matching pursuit scheme to recover the distorted signals, thereby it significantly reduces the computational complexity with the same PAPR reduction efficiency. Simulation results show that our proposed scheme can achieve dramatic PAPR reduction with only about \(10\,\%\) of the existing method, while still keeps good SER performance.     

Low-Complexity PAPR Reduction of MC-SS Signals in PAN

A peak-to-average power ratio (PAPR) reduction scheme with low complexity is proposed for the multicarrier spread spectrum (MC-SS) system in personal area network (PAN). Traditional clipping and filtering scheme requires a high oversampling rate to meet the emission mask requirements. This would cause high power consumption for mobile PAN devices in personal network. To solve the problem, upsampling is introduced between clipping and filtering in this paper to reduce the oversampling rate. A simplified implementation structure is also derived for the proposed scheme. Simulation results show that its complexity is about 65% of the conventional scheme while achieving satisfying performance.

Low-Complexity Cyclostationarity Feature Detection Scheme of Localized SC-FDMA Uplink System for Application to Detect and Avoid

This paper proposes a low-complexity cyclostationarity feature detection scheme for detect and avoid (DAA) of Ultra-Wideband (UWB) system in order to solve the coexistence issues between UWB system and Long Term Evolution-Advanced (LTE-Advanced) system. The proposed scheme is suitable for the detection of a localized Single-carrier Frequency Division Multiple Access (SC-FDMA) signal utilized in the uplink of LTE-Advanced system. Compared with conventional cyclostationarity feature detection, the proposed scheme utilizes all possible cyclic-spectrums located in a distributed window function, which is decided by the frequency distribution of the Primary User (PU) signal. The computational complexity of the proposed scheme is low, due to only one window width instead of all occupied spectrum interval will be searched for the possible cyclic-spectrums. On the other hand, the proposed scheme can also avoid the estimation of the cyclic-spectrums when the type of PU signal is unclear or the cyclic-spectrums are hard to estimate. Simulation results indicate that the proposed scheme can make a tradeoff between detection performance and computational complexity. The low-complexity cyclostationarity feature detection also provides a substitute for the energy detection when the later approach suffers from the noise uncertainty and cannot distinguish the target signal type.     

Novel Low-Complexity Partial Transmit Sequences Scheme for PAPR Reduction in OFDM Systems Using Adaptive Differential Evolution Algorithm

A low-complexity partial transmit sequence (PTS) technique for reducing the peak-to-average power ratio (PAPR) of an orthogonal frequency division multiplexing signal is presented. However, the conventional PTS scheme requires an exhaustive searching over all combinations of allowed phase factors. Consequently, the computational complexity increases exponentially with the number of the subblocks. This paper presents a novel approach to the PAPR problem to reduce computational complexity based on the relationship between phase weighing factors and transmitted bit vectors. In this paper, we aim to obtain the desirable PAPR reduction with the low computational complexity. Since the process of searching the optimal phase factors can be categorized as combinatorial optimization with some variables and constraints, we propose a novel scheme, which is based on a stochastic optimization technique called modified differential evolution, to search the optimal combination of phase factors with low complexity. To validate the analytical results, extensive simulations have been conducted, showing that the proposed schemes can achieve significant reduction in computational complexity while keeping good PAPR reduction.     

A Low-Complexity PTS-Based Radix FFT Method for PAPR Reduction 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) signal is presented. Signals at the middle stages of an -point radix FFT using decimation in frequency (DIF) or decimation in time (DIT) are considered for PTS subblocking. We show that DIF has a lower multiplicative complexity than DIT for similar PAPR reduction. A higher radix based FFT achieves better PAPR reduction per stage with less multiplicative complexity compared with a lower radix FFT. We further reduce the computational complexity by proposing a new technique, called decomposition PTS (D-PTS) subblocking, where subblocks are assigned through different stages of the transform. This new technique reduces the multiplicative complexity, while providing PAPR reduction similar to other techniques such as original PTS (O-PTS). Moreover, it has lower additive complexity.     

预留载波法在同轴电缆调制解调系统中的实现

阐述了一种改进的预留载波方法,结合一个基于OFDM技术的同轴电缆调制解调系统给出了其实现结构,并在FPGA上完成了这种方法的实现.     

基于编码法降低MC-CDMA系统峰均比技术研究

分析了多载波码分多址（MC-CDMA）系统模型及扩频码序列性能,根据MC-CDMA系统特点,研究了采用GOLAY码、Gold码及Walsh码等不同扩频序列及不同序列长度对MC-CDMA系统峰均比的影响。仿真分析了序列长度为16、32及64位时MC-CDMA系统峰均比性能。     

预留载波法在同轴电缆调制解调系统中的实现

阐述了一种改进的预留载波方法,结合一个基于OFDM技术的同轴电缆调制解调系统给出了其实现结构,并在FPGA上实现了这种方法。     

HD Radio系统中预留子载波降低PAPR的方法研究

HD Radio标准中使用的“带内同频（ IBOC）”技术在现有FM模拟广播的同频带内实现数字广播,无需打破现有的频率规划,是调频模拟广播数字化的最佳选择。然而模拟信号和数字信号同时通过混合天线发射时产生的耦合损耗非常大,降低数字信号的峰均比是减小损耗的有力措施。在降低峰均比的所有方案中,预留子载波法由于不引起信号的失真而受到广泛的关注,而预留子载波法的核心即是预留子载波位置的选取。基于HD Radio系统提出一种基于度量的预留子载波位置的选取方法,该方法通过一个度量值来衡量每个子载波对时域大幅度采样值的贡献,并选取具有最大的正度量值的子载波作为预留子载波。仿真结果表明,当使用30个预留子载波时,在概率为10-3时,提出的方案至少能带来0.79 dB的PAPR增益。     

A Low-Complexity PTS-based PAPR Reduction Technique for OFDM Signals without Transmission of Side Information

Increased peak-to-average power ratio (PAPR) imposes a design challenge for orthogonal frequency division multiplexing-based signals. An efficient technique to address the increased PAPR problem is the partial transmit sequences (PTS) approach. A significant drawback of PTS is the fact that it multiplies the transmitted symbol with weighting factors selected by the transmitter. Since the weighting factors are required for decoding, they are explicitly transmitted, in most cases. This paper proposes a new low-complexity technique for retrieving the weighting factors in the receiver. The proposed decoder uses the predefined values of pilot tones and explores all the permissible combinations of weighting factors in order to identify the factor combination employed by the transmitter. The proposed decoder requires no additional pilot tones or explicit transmission of side information, therefore no data rate loss is implied. Furthermore this paper presents a digital very large scale integration implementation of the proposed PTS decoder and demonstrates its low-power properties.     

Improved PAPR Reduction Using Gamma Correction in SC-FDMA Systems Under Multipath Fading Channels

Wireless Personal Communications - Single-carrier frequency division multiple access (SC-FDMA) has become one of the most attractive standards for next-generation wireless communication systems....     

降低OFDM峰均比的无边信息传输低复杂度PTS算法

部分传输序列(PTS)技术是正交频分复用(OFDM)系统中一种非常有效的降低峰均功率比方法.其缺点是在发送端需要选择权重因子与发送符号相乘来进行发送,而权重因子通常会作为边信息被额外地传输.本文首先讨论了一种基于导频音来恢复权重因子的PTS算法,它在接收端通过收到的导频音进行判决恢复.采用这种算法,能有效抑制系统的PA...     

一种基于黎曼序列降低PAPR的新方法

正交频分复用（OFDM）可以有效地对抗多径衰落,能够以较高的频谱利用率来实现高速数据传输,已成为通信领域的研究热点。但是OFDM技术中存在的高峰均功率比（PAPR）,为其实用化设置了障碍。本文在总结了目前国内外降低PAPR多种技术的基础上,给出了PAPR的定义和分布,分析了选择映射算法的基本原理,并提出了一种基于黎曼序列降低峰均功率比的新方法,其核心思想是选择归一化黎曼矩阵的行向量作为相位序列。最后进行了蒙特卡罗仿真,仿真结果表明,该方法能够明显改善OFDM信号的PAPR特性,降低了计算的复杂度,提高了频带利用率。      

一种降低SC-FDMA信号峰均比的低复杂度方法

针对已有方法复杂度过高或者需要引入额外带宽的缺点,在深入分析单载波频分多址(SC-FDMA)信号大峰值形成原因的基础上,提出了一种不需要额外带宽的简单易行的降峰均比(PAPR)方法。所提方法以引入极少数误比特为代价将造成SC-FDMA信号PAPR值高于给定数值的星座图外部星座点变换为内部星座点,使得发送信号的PAPR大大降低。在收端经过信道译码,可大大减少星座变换带来的极少数误比特。提出的方法所需计算量很低,不会增加额外的带宽开销,同时可有效地降低发送信号的PAPR。     

Non Linear Companding Transform to Mitigate PAPR in DCT Based SC-FDMA System

Wireless Personal Communications - As a result of the rapid progress in editing techniques, fakes and forgeries in images became easy and pervasive. Image forgery detection methods have been...     

A Phase Adjustment Based Partial Transmit Sequence Scheme for PAPR Reduction

The peak-to-average power ratio (PAPR) of an orthogonal frequency division multiplexing signal is normally very large and is crucial for the analog amplifier in the transmitter. It is therefore necessary to reduce the PAPR before the signal is transmitted. In this paper, a PAPR reduction scheme is presented based on the partial transmit sequence (PTS) method. By allowing each subblock of data to be rotated by an arbitrary angle, a simple yet efficient phase search algorithm is proposed. With a prespecified number of iterations, the proposed method gives the best phase vector for a combination of data blocks to achieve the smallest PAPR value. Our simulation results show that the proposed scheme provides significant computational savings while yielding a performance similar to that of the conventional PTS method.     

Low-Complexity Intra-Coding Scheme for HEVC

Compared with H.264/AVC, the latest video standard High Efficiency Video Coding (HEVC) known as H.265 improves the coding efficiency by adopting the quadtree splitting structure which is flexible in representing various textural and structural information in images. However, the computational complexity is dramatically increased, especially in the intra-mode decision process owing to supporting more partitions and modes. In this paper, we propose a low-complexity algorithm for HEVC intra-coding, which consists of a fast coding unit (CU) size decision (FCUSD) method and a fast prediction unit (PU) mode decision (FPUMD) method. In FCUSD, unnecessary CU sizes are skipped early according to the depth level of neighboring CUs and the rate distortion (RD) cost threshold derived from the former coded frame. In FPUMD, the PU mode and RD cost correlations between different depth levels are utilized to terminate unnecessary candidate modes. Experimental results demonstrate that the proposed algorithm can achieve about 50.99 % computational complexity reduction on average with 1.18 % BD-rate increase and 0.08 dB BD-psnr loss.     

A Low-BER Clipping Scheme for PAPR Reduction in STBC MIMO-OFDM Systems

Clipping is a simple scheme to reduce the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. Further, it can be extended to space-time block coding (STBC) multiple-input multiple-output (MIMO) OFDM systems for the PAPR reduction. In the conventional clipping schemes for STBC MIMO-OFDM systems, the input symbols are first encoded and then clipped. In this paper, a new scheme is proposed, where the clipping operation is performed before space-time block coding. We theoretically prove that the proposed scheme has better bit-error rate (BER) performance while maintaining the same PAPR reduction as the conventional schemes. Additionally, we derive the symbol-error rate (SER) and BER expressions for the new scheme over multipath fading channels. The simulation results show a good match with our analysis.     

降低OFDM系统中PAPR的技术分析

正交频分复用(OFDM)具有较高的频谱利用率、良好的抗多径干扰能力,长期以来一直受到广泛的关注。目前,OFDM已经被公认为是下一代移动通信系统的核心技术之一,但其较高的峰值平均功率比(PAPR)却一直是制约OFDM技术发展的问题之一。如何降低OFDM系统的PAPR是目前通信领域的研究热点之一,本文对目前常用的降低PAPR方法进行了综合分析和比较,并讨论了各方法的优缺点。     

Low-Complexity Equalization for SC-FDMA Uplink Systems Over Time and Frequency Selective Channels

Wireless Personal Communications - In this paper, we propose novel equalization schemes for compensating the adverse effects caused by carrier frequency offsets (CFOs), timing errors and doubly...