基于Chebyshev混沌序列的正交宽带调制解调方法

针对常规的相干解调和非相干解调在水声信道通信中可靠性差的问题,文中提出了一种基于Chebyshev混沌序列的正交宽带调制解调方法。该方法基于海洋水声信道环境与传播特点,采用统计特性接近环境噪声且具有尖锐自相关、宽带特性的Chebyshev混沌序列作为信息载体和同步信号,并利用欧氏距离分类器对接收信号进行非相干分类判决解调。该方法可有效抑制水声信道因多途传播而引起的频率选择性衰落和码间干扰,从而更好地实现低信噪比条件下可靠水声通信。仿真实验证明,在-10 dB以上信噪比环境下,文中所提通信方法在具有多途效应的水声信道上具有良好的通信性能。     

水声多径信道多普勒因子精确估计方法

由水下平台运动导致的多普勒效应是影响高数据率水声通信性能的主要因素,现有多普勒估计方法在复杂水声多径信道条件下估计精度急剧下降。针对此问题,提出了一种可自动匹配水声多径信道的精确多普勒频移估计方法。仿真结果表明：该方法可显著提高水声多径信道的多普勒频移估计精度,信道适应性强,在信噪比大于-5 dB时,估计精度始终保持在10^-4左右,满足高数据率水声通信对多普勒因子估计精度的要求。     

一种基于OFDM-chirp的雷达通信一体化波形设计与处理方法

雷达通信一体化波形设计是近年来的研究热点.有学者提出利用正交频分复用(OFDM)信号的奇偶载波分别调制雷达与通信功能来实现一体化.但OFDM通信系统一般采用循环前缀(CP)来避免多径效应带来的载波间干扰(ICI)和符号间干扰(ISI),这会降低能量利用率,并会形成虚假目标,影响雷达性能;此外,传统的OFDM一体化信号对...     

LS码在水声扩频中的应用及估计

水声多径干扰限制了水声直接扩频通信系统的进一步应用,选取性能更好的扩频序列可以提高水声扩频系统的抗干扰性能。在讨论了LS码特性的基础上,提出了将LS码应用于水声直接扩频通信中,并分析了LS码应用的优势。通过多径瑞利水声信道模型仿真,验证了LS码水声扩频通信的良好性能。利用了二次谱和奇异值分解的方法对LS码水声直扩信号的扩频序列进行了估计。仿真结果表明,该方法在信噪比为-11dB时还能准确的估计出LS码。     

Synchronization techniques for underwater acoustic communications

Underwater acoustic channel is a challenging medium for communication due to the presence of significant multipath, high noise, frequency-dependent propagation loss, and high and non-uniform Doppler spread. Doppler shift is non-negligible in underwater communication due to the low velocity of underwater signals. Synchronization and Doppler estimation are important requirements for achieving good performance in this channel. Synchronization algorithms that give good performance in radio communication do not work well in underwater communication. Hence, this area has received a lot of attention from researchers. This paper surveys important works in the area. The techniques proposed in the literature for frame synchronization, frequency and phase synchronization, and timing synchronization in single carrier communications are reviewed here. The synchronization techniques proposed for OFDM, MIMO OFDM, and spread spectrum communication are also surveyed. Doppler estimation methods proposed in the literature are also reviewed. It is found that most of the recent works in underwater acoustic communication focus on OFDM synchronization. Deep learning-based methods proposed in the literature are also reviewed. Key open problems and areas that require future research attention in the field of synchronization and Doppler estimation in underwater communications are highlighted in this paper. The area needing most attention of underwater communication researchers was found to be MIMO OFDM due to the difficulty in synchronization in such systems while used in underwater communication. Reducing the computational complexity of the algorithms used is also important for future work. Schemes that work with Doppler due to relative velocity over 10 m/s also need to be developed.     

Adaptive blind estimation algorithm for OFDM-MIMO radio systems over multipath channels

This paper investigates the blind algorithm for channel estimation of Orthogonal Frequency Division Multiplexing-Multiple Input Multiple Output (OFDM-MIMO) wireless communication system using the subspace decomposition of the channel received complex baseband signals and proposes a new two-stage blind algorithm. Exploited the second-order cyclostationarity inherent in OFDM with cyclic prefix and the characteristics of the phased antenna, the practical HIPERLAN/2 standard based OFDM-MIMO simulator is established with the sufficient consideration of statistical correlations between the multiple antenna channels under wireless wideband multipath fading environment, and a new two-stage blind algorithm is formulated using rank reduced subspace channel matrix approximation and adaptive Constant Modulus (CM) criterion. Simulation results confirm the theoretical analysis and illustrate that the proposed algorithm is capable of tracking matrix channel variations with fast convergence rate and improving acceptable overall system performance over various common wireless and mobile communication links.     

Detection, Synchronization, and Doppler Scale Estimation with Multicarrier Waveforms in Underwater Acoustic Communication

In this paper, we propose a novel method for detection, synchronization and Doppler scale estimation for underwater acoustic communication using orthogonal frequency division multiplex (OFDM) waveforms. This new method involves transmitting two identical OFDM symbols together with a cyclic prefix, while the receiver uses a bank of parallel self-correlators. Each correlator is matched to a different Doppler scaling factor with respect to the waveform dilation or compression. We characterize the receiver operating characteristic in terms of probability of false alarm and probability of detection. We also analyze the impact of Doppler scale estimation accuracy on the data transmission performance. These analytical results provide guidelines for the selection of the detection threshold and Doppler scale resolution. In addition to computer-based simulations, we have tested the proposed method with real data from an experiment at Buzzards Bay, MA, Dec. 15, 2006. Using only one preamble, the proposed method achieves similar performance on the Doppler scale estimation and the bit error rate as an existing method that uses two linearly-frequencymodulated (LFM) waveforms, one as a preamble and the other as a postamble, around each data burst transmission. Compared with the LFM based method, the proposed method works with a constant detection threshold independent of the noise level and is suited to handle the presence of dense multipath channels. More importantly, the proposed approach does not need to buffer the whole data packet before data demodulation, which facilitates future development of online realtime receivers for multicarrier underwater acoustic communications.     

Optimum Receiver Design for Broadband Doppler Compensation in Multipath/Doppler Channels With Rational Orthogonal Wavelet Signaling

In this paper, we address the issue of signal transmission and Doppler compensation in multipath/Doppler channels. Based on a wavelet-based broadband Doppler compensation structure, this paper presents the design and performance characterization of optimum receivers for this class of communication systems. The wavelet-based Doppler compensation structure takes account of the coexistence of multiple Doppler scales in a multipath/Doppler channel and captures the information carried by multiple scaled replicas of the transmitted signal rather than an estimation of an average Doppler as in conventional Doppler compensation schemes. The transmitted signal is recovered by the perfect reconstruction (PR) wavelet analysis filter bank (FB). We demonstrate that with rational orthogonal wavelet signaling, the proposed communication structure corresponds to a Lth-order diversity system, where L is the number of dominant transmission paths. Two receiver designs for pulse amplitude modulation (PAM) signal transmission are presented. Both receiver designs are optimal under the maximum-likelihood (ML) criterion for diversity combination and symbol detection. Good performance is achieved for both receivers in combating the Doppler effect and intersymbol interference (ISI) caused by multipath while mitigating the channel noise. In particular, the second receiver design overcomes symbol timing sensitivities present in the first design at reasonable cost to performance.     

基于滤波器组多载波梳状谱的雷达通信一体化信号技术

源于频谱利用率高、抗多径衰落能力强、子载波调制灵活等优点,正交频分复用（Orthogonal Frequency Division Multiplexing,OFDM）是当前主流的雷达通信一体化信号备选技术之一。但是该技术存在多普勒敏感、带外辐射强、峰均比较大等缺点。与之相比,滤波器组多载波（Filter-bank multicarrier,FBMC）带外辐射低、多普勒容限高、不需要循环前缀（Cyclic Prefix,CP）,具备更高的应用价值。为此,本文基于FBMC框架,从子载波复用角度提出了兼具高速无线通信和chirp优良模糊函数的梳状谱信号技术,并进一步设计了融合辅助导频和干扰利用的前导序列,解决了FBMC通信信道估计中固有的虚部干扰问题。最后,在应对快时变信道时,本文联合前导序列和离散的梳状chirp谱,在完成高性能雷达探测的同时,保障了高速无线通信性能。仿真实验有效验证了技术可行性。     

一种新的基于快速功控的多普勒估计

针对采用快速功控的移动通信系统提出了一种简便的多普勒估计方法。该方法利用功控后的接收信号电平的平稳性与最大多普勒频移有密切关系这一特点，通过测量接收信号电平的平稳性估计多普勒频移。文中在单径瑞利衰落信道条件下对这一方法进行了仿真验证，并同文献中提出的COV方法进行了比较，仿真结果表明在信道变化不是太快时本方案有较好的估计精度。     

大频偏卫星扩频信号的基带处理算法的FPGA实现

多普勒频偏一直是卫星通信中不可忽视的消极因素。针对多路混叠的卫星扩频信号下变频以后所产生的大多普勒频偏,在匹配滤波结构中采取改进的部分相关算法,在基于并行导频的信道估计中根据信道状况改变估计长度,实现了大频偏下卫星扩频信号的基带处理。     

一种水声信道自适应均衡算法研究

由声波传播的多途效应所引起的码间干扰及信号衰落,使得水下数据传输的速率和可靠性都大大降低。针对多途干扰严重的水声信道,将一种基于最小均方误差算法的信道自适应均衡器应用于水声信号处理中。对该均衡器的基本理论及其结构进行了归纳,结合水声多途信道的基本特点,建立了仿真模型,重点分析了步长参数、信噪比等对算法收敛速度和稳态误差等方面性能的影响,为实现高质量的水下信息传递提供技术支持。     

多径信道下TD-LTE系统中定时同步算法的研究

多径传播是无线信道所固有的特性,信道时延的存在将会导致符号间干扰(ISI),严重影响接收端信号的解调.本文重点研究了多径信道下TD-LTE系统中的定时同步模块,并对基于循环前缀(CP)的能量差分算法加以改进,联合主同步信号(PSS)精确估计定时同步位置.仿真结果表明,该算法在多径衰落信道下能获得较好的定时同步性能,即使在信道时延较大的情况下也能够稳定地工作.     

移动水声通信多径传输非一致多普勒估计方法研究

现有水声通信中的多普勒估计方法一般都假定多径信道每条路径的多普勒因子相等,当各路径多普勒因子存在差异时,该类方法往往无法正确估计出每径的多普勒因子,导致补偿后的信号存在较大误差。为此该文在分析水声信道稀疏特性的基础上,提出一种基于稀疏表示理论的非一致多普勒估计方法。该方法结合水声多径信道与非一致多普勒稀疏特性生成包含信道信息的超完备字典,将每径的非一致多普勒因子估计转化为基于超完备字典的稀疏重构求解,实现非一致多普勒因子的准确估计。仿真结果表明,所提方法不仅能估计出差异较大的非一致多普勒因子,而且对于大多普勒频偏的估计也相当有效,特别适合于高速移动水声通信中的多普勒估计。     

在OFDM系统中用循环前缀对时变色散信道进行估计

目前，正交频分复用（OFDM）技术困能在无线时变信道中进行高速数据传输而受到广泛的关注。在相干的OFDM系统中，接收机能否获得准确的信道状态信息（CSI）是系统性能提高的关键。为了能在接收端获得准确的CSI和提高系统的传输速率，文中将文献[3]的算法由单路发射推广为I/Q两路发射，采用复抽头系数的FIR滤波器对多径衰落信道进行建模，并用通常被丢弃的循环前缀作为训练序列对信道进行估计和均衡，仿真结果表明改进的算法在相同的子数和子载波和比文献[3]传输效率提高一倍的情况下能有效地自动跟踪信道的变化。     

城市微区角度色散移动信道特性的建模与仿真

城市微蜂窝数字移动通信网无线电信道的一个非常重要的传播特征就是多径传播环境结构所造成的电波入射角度色散。这种现象是移动台在随机游走过程中，由于周围随机分布的复杂建筑结构和随机变化的人为及自然环境使得经过等效反射路径到达接收机的电波入射角度随着移动速度而产生的其分布不断变化的任意扩散结果。因此角度色散信道是在多普勒效应的作用下伴随着频率色散而出现的，而对其信道特性进行研究的关键就是了解各种传播环境下的电波入射角分布结构。本文在研究角度色散信道传播特性理论模型的基础上，构造了一种用代表其信道物理量的特征参数表示任意传播信道电波入射角分布的一般结构模型，并根据这种入射角分布模型来研究和分析在不同城市环境中移动无线电多径色散信道的信号传播特性，最后通过计算机模拟仿真进一步分析了不同的电波入射角角度分布对信道传播特性的影响。     

基于AR模型的水声信道盲估计算法

给出了基于AR模型的水下通信系统模型,利用基于输出序列自相关阵的Levinson-Durbin递推算法,在不需要训练序列的条件下估计得到信道传递函数,并恢复出原信号。与基于高阶统计特性方法相比,该算法运算复杂度低,估计速度快,更适合高速数据传输信道的估计。通过对水声信道参数盲估计的计算机仿真,验证了该算法具有较高的精度。     

基于循环相关的LFM脉冲雷达宽带回波Doppler和多径时延的联合估计

基于循环相关特性,该文提出了针对线性调频(LFM)脉冲雷达宽带回波Doppler和多径时延联合估计的方法。该方法首先利用雷达回波的循环相关变换,通过多径分量的能量累积估计Doppler频移尺度参数,然后结合发射信号的先验信息构造降阶函数,将回波信号降为多个单频信号,最后利用零频率截面循环谱能够将时间上有重叠的多径回波信号在该截面上分开且分辨率加倍的特性,估计出各多径分量的时延值。该方法只需要一个脉冲信号即可完成Doppler和多径时延的联合估计,对低信噪比噪声有较强的容忍性,能抑制各径相关交叉项的影响,并且具有较高的多径时延估计分辨率。文中给出了计算机仿真实验,仿真结果表明了该算法的有效性。     

MISO-CDMA多径系统中空时分组码的译码方法

空时编码是实现宽带无线数据通信和下一代移动通信系统的一种极有潜力的技术。为有效的将空时分组码应用到多径衰落环境下的码分多址系统，以充分利用多个路径的信号能量，现提出了一种多径环境下空时分组译码的新方法。由于空时分组码译码与信道估计紧密相关，为此本文对多径信道估计以及信道估计误差对本方法产生的影响作研究。仿真结果表明，采用多路径译码方法可以明显提高系统的误码性能。     

战术自组网下非平稳信道测量与建模

为研究城市战场环境下战术自组织网络（tactical mobile ad hoc network,TacMAN）通信节点间的信道特性,针对城区场景超短波频段展开信道测量与建模。测量结果表明,TacMAN通信场景下,多径信号存在明显的非平稳性和生灭现象。针对信道非平稳性,首先设计了一种多径识别与跟踪算法,有效地估计出多径信号的存在概率。其次,使用基于马尔科夫链的改进型抽头延迟线（tapped delay line,TDL）模型对实测数据的非平稳过程进行建模。最后基于赤池信息准则（akaike information criterion,AIC）给出了小尺度衰落的统计模型,分析表明双高斯混合分布（bimodal Gaussian mixture distribution,BGMD）和Ricean分布分别是描述模型首径与最强径幅度分布的最佳模型。论文建立的非平稳信道模型可以较好地描述TacMAN场景下信道特性,为提高相关军事通信场景下通信系统的性能提供参考。