Cyclic-Auto-Correlation Based Timing Estimation Algorithm for Time-Frequency Overlapping Multi-Carrier Signals

In recent years,the time-frequency overlapping multi-carrier signal has been a novel and valuable topic in blind signal processing,especially in the non-cooperative receiving field.But there is little related research in public published papers.This paper proposes two timing estimation algorithms,which are non-data-aided and based on the cyclic auto-correlation function.In order to evaluate the performance of the proposed algorithms,the theoretical bound of the timing estimation is derived.According to the analyses and simulation results,the effectiveness of the proposed algorithms has been demonstrated.It shows that MethodⅠhas better performance than MethodⅡ.However,MethodⅡdoes not need prior information,so it has a wider range of applications.

SIGNAL CONSTELLATIONS DESIGN FOR DIFFERENTIAL UNITARY SPACE-TIME IN MIMO-OFDM SYSTEM OVER FREQUENCY-SELECTIVE FADING CHANNELS

In this paper, the design of signal constellations parameters is studied for Differential Unitary Space-Time Modulation (DUSTM) based on the design criterion of maximizing the diversity product. Further, noninteger searching method for the signal constellation parameters design is proposed in order to get better codes. Experimental results show that under the different Doppler spread and data transmission rate, the proposed design performs better than the previous design using integer parameters in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system over frequency-selective fading channels.

High resolution range profile analysis based on multicarrier phase-coded waveforms of OFDM radar

Orthogonal frequency division multiplexing（OFDM） radar with multicarrier phase-coded waveforms has been recently introduced to achieve high range resolution.The conventional method for obtaining the high resolution range profile（HRRP） is based on matched filters.A method of synthesizing HRRP based on the fast Fourier transform（FFT） and decoding is proposed.The mathematical expressions of HRRP are derived by assuming an elementary scenario of point-scattering targets.Based on the characteristic of OFDM multicarrier signals,it mainly analyzes the influence on HRRP exerted by several factors,such as velocity compensation errors,the sampling frequency offset,and so on.The conclusions are significant for the design of the OFDM imaging radar.Finally,the simulation results demonstrate the validity of the conclusions.

Blind channel estimation for multiple antenna OFDM system subject to unknown carrier frequency offset

The problem of channel estimation for multiple an- tenna orthogonal frequency division multiplexing （OFDM） systems subject to unknown carrier frequency offset （CFO） is addressed. Multiple signal classification （MUSIC）-Iike algorithm, which generally has been used for direction estimation or frequency estimation, is used for channel estimation in multiple antenna OFDM systems. A reduced dimensional （RD）-MUSIC based algorithm for channel estimation is proposed in multiple antenna OFDM systems with unknown CFO. The Cramer-Rao bound （CRB） of channel estimation in multiple antenna OFDM systems with unknown CFO is derived. The proposed algorithm has a superior performance of channel estimation compared with the Capon method and the least squares method.

PSO算法下GP-周期随机共振的微弱OFDM信号检测

为了解决传统随机共振系统在微弱正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)信号解调应用中存在的人工选择参数困难、解调效果差的问题,提出一种基于粒子群优化(Particle Swarm Optimization,PWO)算法的GP(Gaussian Potential)-周期随机共振系统的微弱OFDM信号检测方法。该方法利用GP-周期随机系统对OFDM信号经正交变换后的两路高频信号分别进行随机共振,同时运用阻尼参数与信号频率之间的关系对两路信号进行降频处理,使得上下两路信号都能够发生随机共振;然后使用PWO算法对随机共振的系统参数进行优化处理,以使得上下两路信号达到最优的共振效果;最后,将上下两路共振之后的信号合成完成OFDM信号解调,得到最终的数字序列。本文探讨了优化前后GP-周期随机共振系统的共振效果,研究了优化前后GP-周期随机共振诱导下的OFDM系统星座图的聚集程度以及误码率情况,对比分析了经典双稳随机共振、经典三稳随机共振和所提模型对OFDM信号检测的影响。仿真结果表明:相比常用的传统随机共振模型,该方法用于OFDM信号检测的星座图中信号点的聚集程度更高,同时OFDM系统误码率在同样的信噪比下降低50%左右。

基于多特征融合的MIMO-OFDM系统单-混信号调制识别算法

为解决非协作通信中多输入多输出正交频分复用(multiple-input multiple-output orthogonal frequency division multiplexing, MIMO-OFDM)系统的单-混信号调制识别问题,提出一种基于多特征融合和决策融合的调制识别方法。首先,利用特征矩阵的联合近似对角化(joint approximate diagonalization of eigenvalue matrix, JADE)算法从接收端恢复发送信号;然后,提取恢复后信号的四次方谱、循环谱和高阶累积量作为输入样本,利用多特征融合网络对输入样本进行训练;最后,使用决策融合策略根据每条支路输出得到最终判决结果。仿真实验结果表明,所提方法可以对MIMO-OFDM系统中的7种信号进行有效识别,在信噪比为10 dB时识别精度可达99.4%。

基于优化CCSK调制的低轨卫星通信导航一体化信号设计方法

给出了一种基于优化循环码移键控(cyclic code shift keying,CCSK)方式的通信导航一体化信号设计方法,使通信信号的互相关函数的正值与导航信号自相关函数的峰值一致,从而克服互相关干扰,提高通信速率。通过频分复用的方式划分通信信号和导航信号的频带,基于正交频分复用(orthogonal frequency division multiplexing,OFDM)技术提出连续分配、交替分配和随机分配3种子载波分配方案。对优化CCSK调制和CCSK调制的一体化信号的自相关峰值性能进行仿真和分析,结果表明,在3种子载波分配方案下,采用优化CCSK调制的一体化信号的自相关峰值性能均优于CCSK调制的一体化信号,且采用优化CCSK调制的通信信号的互相关特性对相应的导航信号的自相关峰值有增强作用,可提升通信导航一体化信号体制下导航信号的码相位同步性能。

采用CNN的MIMO-OFDM可见光通信接收机

为了克服多输入多输出(MIMO)-正交频分复用(OFDM)可见光通信(VLC)系统中存在的信号串扰、高峰均功率比、发光二极管(LED)的带宽受限和非线性效应等问题,提出一种基于卷积神经网络(CNN)的VLC接收机.该接收机通过对接收端失真信号和发射端原始信号的学习,能够实现MIMO-OFDM可见光通信系统的信号解调,有效提升系统对非线性失真的抑制能力并具有较低的复杂度.实验结果表明,与最小二乘法接收机相比,CNN接收机能有效补偿信号受到的线性和非线性失真以及不同用户间的信号串扰,平均误码率提升超过一个数量级,同时有效克服LED带宽受限问题,比特传输速率提升53%.

Coarse-fine joint target parameter estimation method based on AN-RSC in OFDM passive radar

In this paper,we study the accuracy of delay-Doppler parameter estimation of targets in a passive radar using orthogonal frequency division multiplexing(OFDM)signal.A coarse-fine joint estimation method is proposed to achieve better estimation accuracy of target parameters without excessive computational burden.Firstly,the modulation symbol domain(MSD)method is used to roughly estimate the delay and Doppler of targets.Then,to obtain high-precision Doppler estimation,the atomic norm(AN)based on the multiple measurement vectors(MMV)model(MMV-AN)is used to manifest the signal sparsity in the continuous Doppler domain.At the same time,a reference signal compensation(RSC)method is presented to obtain highprecision delay estimation.Simulation results based on the OFDM signal show that the coarse-fine joint estimation method based on AN-RSC can obtain a more accurate estimation of target parameters compared with other algorithms.In addition,the proposed method also possesses computational advantages compared with the joint parameter estimation.

CYCLOSTATIONARITY-BASED OFDM SIGNAL SENSING OVER DOUBLY-SELECTIVE FADING CHANNELS

In this paper,using cyclostationarity-based sensing method to detect the presence of Orthogonal Frequency Division Multiplexing(OFDM) signal over doubly-selective fading channels is studied.By approximating the channel with Basis Expansion Model(BEM),we derive the second-order cyclostationary statistics of the received OFDM signal over doubly-selective fading channels.Theoretical analysis indicates that new cyclostationary signatures produced by Doppler spread and multipath delay can be further exploited in the detecting process.Simulation examples demonstrate that the sensing methods using channel-induced cyclostationary features provide substantial improvements on detection performance.

一种基于神经网络的OFDM信号识别与符号估计改进方法

针对正交频分复用(OFDM)信号调制识别与符号估计问题,提出了一种基于深度学习神经网络(DNN)的新方法。该方法通过深入分析OFDM信号的实际传输模型,同时采用优化的Dropout策略防止过度拟合,可适用于多种调制类型数据集的训练,增强了网络学习的泛化能力;另一方面,基于改进的OFDM导频数据训练结构,提高计算效率。该新思路增强了抗噪性能,无需大量的数据先验需求,具有良好的稳健性和工程实用性。仿真结果表明新方法的识别及估计性能比起过去传统思路更优,且可在低信噪比情况下成功实现识别及估计。

雷达通信一体化5G信号设计方法

随着第五代(Fifth Generation, 5G)通信技术的发展,利用雷达通信一体化5G信号实现低空目标探测具有广泛的应用前景。本文提出一种雷达通信一体化5G信号设计方法,首先建立了雷达通信一体化正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)信号发射接收模型,并提出一种区间线性相位压缩(Interval Linear Phase Compression,ILPC)通信信息调制方法来降低通信加入对信号探测性能的影响;接着以峰均功率比(Peak to Average Power Ratio, PAPR)、雷达脉压后的信噪比(Signal to Noise Ratio, SNR)恢复因子以及通信误码率(Bit Error Rate,BER)为优化目标,以发射信号循环前缀置零和时/频域序列恒模为约束,建立多目标优化问题模型;为了兼顾雷达性能和通信性能,本文提出一种时/频域迭代Clipping加滤波算法求解该优化问题。最后,在典型5G通信工作场景下验证了所提方法的有效性。

CFO条件下的OFDM子载波调制样式识别方法

提出了一种基于信号幅度分布特征与多次方谱线特征相结合的调制样式识别算法。该算法主要基于正交解调后的正交频分复用子载波信号的幅度分布特征,采用直方图统计的方法实现多进制相移键控和多进制正交幅度调制识别,用多方次谱特征实现多进制相移键控类的调制识别。相比基于经典的高阶累积量的调制识别算法,具有更好的载波频率残留偏差适应能力,在载波频率偏差条件下,提高了调制识别率;相比循环平稳方法,具有更好的信噪比适应能力。仿真实验结果表明了该方法的有效性,相同的识别率下能适应更低的信噪比。

OFDM-CPM-LFM雷达通信一体化信号研究

针对雷达通信一体化信号雷达、通信性能无法兼顾的问题,提出了OFDM-CPM-LFM雷达通信一体化信号.首先,通过连续相位调制(Continuous Phase Modulation,CPM)对线性调频信号(Linear Frequency Modulation,LFM)进行调制,降低信号模糊函数旁瓣提高雷达探测能力,在动态调制指数下均衡一体化信号性能;然后结合正交频分复用技术(Orthogonal Frequency Division Multiplexing,OFDM)提高通信传输速率,通过增加循环前、后缀降低干扰影响保证通信性能;最后,利用模糊函数与误码率分析一体化信号性能.仿真结果表明,所提一体化信号在保证雷达探测性能同时,能够实现高效通信,且误码率在信噪比10 dB时可达到10−5以下.

正交频分复用技术在浅海环境水声通信的应用

海洋环境的水声通信不仅在军事领域有重要的意义,在商业和民用领域也具有重要的应用价值,是实现船舶定位、通信和导航必备的关键技术。水声通信具有高噪声背景、衰减性强、通信带宽窄等特点,因此,研究稳定、高质量的水声通信技术是一项行业内的热点研究。正交频分复用技术能够利用频域变换将信号的传输通道变换为若干个子频带,有助于提高水声通信的信号传输效率,提高信噪比。本文介绍正交频分复用技术的关键内容,基于此优化船舶浅海环境水声通信技术,并进行仿真测试。结果表明,基于正交频分复用OFDM技术的水声通信技术具有较高的通信质量,可以较好抑制噪声。

多DC/DC变换器互联直流系统低频OFDM电力线通信策略

在直流供电网络中,设备之间的有效通信是保障系统供电可靠性和安全性的重要基础。针对传统电力线通信电路的复杂性,提出一种基于低频正交频分复用技术的多载波功率信号复合传输方法,通过在参考电压叠加并行载波信号,将调制信号加载在输出电压低频纹波中进行传输,利用单个变换器实现了多个载波信号的调制。针对输出端并联的Buck电路系统,分析了基于正交频分复用技术的多载波PWM/ASK的信号调制解调的原理,并对系统的稳定性和信号传递特性进行分析,并通过仿真和试验验证了该信号调制方法的可行性。

PSO-DBNet for Peak-to-Average Power Ratio Reduction Using Deep Belief Network

Data transmission through a wireless network has faced various signal problems in the past decades.The orthogonal frequency division multiplexing(OFDM)technique is widely accepted in multiple data transfer patterns at various frequency bands.A recent wireless communication network uses OFDM in longterm evolution(LTE)and 5G,among others.The main problem faced by 5G wireless OFDM is distortion of transmission signals in the network.This transmission loss is called peak-to-average power ratio(PAPR).This wireless signal distortion can be reduced using various techniques.This study uses machine learning-based algorithm to solve the problem of PAPR in 5G wireless communication.Partial transmit sequence(PTS)helps in the fast transfer of data in wireless LTE.PTS is merged with deep belief neural network(DBNet)for the efficient processing of signals in wireless 5G networks.Result indicates that the proposed system outperforms other existing techniques.Therefore,PAPR reduction in OFDM by DBNet is optimized with the help of an evolutionary algorithm called particle swarm optimization.Hence,the specified design supports in improving the proposed PAPR reduction architecture.

中波DRM数字调幅广播试验

介绍在模拟中波发射机上开展数字音频广播(Digital Radio Mondiale,DRM)试验的具体情况。利用现有的模拟中波发射机以及天馈线系统简单改造后进行DRM广播试验,对DRM和幅度调制(Amplitude Modulation,AM)两种模式下发射机功率能耗和信号覆盖收听效果进行全面比对分析,取得了良好的效果,进一步验证中波DRM数字调幅广播的优势以及模拟发射机数字化的可行性,为同行DRM改造提供技术基础和支撑数据。

基于生成对抗网络的OFDM信号生成

提出了一种基于图样−星座双判别器生成对抗网络(Pattern-Constellation dual GAN)的正交频分复用(OFDM)信号生成方案。首先,使用快速傅里叶变换(FFT)对时域OFDM信号进行预处理,得到的频域符号向量被拼接为二维数据矩阵,用于GAN的训练和测试。为保证生成的信号具有协议要求的子载波结构和调制方式,设计了双判别器GAN:生成器生成时频二维图样以欺骗两个判别器,而两个判别器分别从子载波结构和调制符号的星座密度两个方面区分生成的图样和真实图样。最后,以Wi-Fi 802.11a协议为例验证了该方案的有效性。

基于OFDM的雷达通信一体化信号设计

随着雷达系统和通信系统的快速发展,二者之间相互融合,能够凸显一体化系统设计和应用便利优势,如在通信系统方面,高数据速率传输能够更好地满足信号大带宽拓展需求,在一定程度上推动通信工作频段往高频段方向发展,有利于进行一体化的信号设计和应用。为此,从正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)信号的峰值平均功率比(Peak to Average Power Ratio,PAPR)性能问题出发,通过仿真分别研究和探讨不同子载波数目以及调制方式对于OFDM一体化信号的PAPR特性的影响,列举两种改善PAPR性能的技术方法,以期达到预设的研究目标。