正交频分复用无源时间反转信道均衡方法研究

针对水声信道多途信号引起的正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)水声通信系统符号间干扰的问题,提出了无源时间反转均衡的方法,将发送的探测信号时间反转与OFDM信号做卷积,利用无源时间反转镜的时间聚焦原理减小信道多途带来的符号间干扰,在OFDM符号中不使用导频的情况下实现信道均衡,简化了均衡步骤并提高了OFDM符号频带利用率。分析比较了无源时反均衡方法与最小平方信道均衡在水声多途信道下的误码性能。仿真研究和湖上实验表明,无源时反信道均衡算法可以有效的减小多途信道对OFDM水声通信系统带来的影响。     

时间反转滤波器组多载波水声通信方法

针对水声滤波器组多载波(Filter Bank MultiCarrier,FBMC)传统均衡方法效率低、复杂度高等问题,提出了单阵元无源时间反转镜(Passive Time Reversal Mirror,PTRM)和虚拟时间反转镜(Virtual Time Reversal Mirror,VTRM)的均衡算法,该算法利用时间聚焦原理可以降低水声信道带来的符号间干扰(Inter Symbol Interference,ISI),并且不需要在FBMC符号中插入导频,进一步提高了通信速率.通过仿真和外场实验验证了水声FBMC系统采用单阵元PTRM和VTRM的有效性,结果表明,这两种均衡方法能够有效减少ISI,提高系统可靠性能。      

无源时间反转镜在水声通信中的应用

提出单阵元无源时间反转镜(PTRM),在对声信道没有任何先验知识的情况下可与信道自动匹配,实现自适应聚焦。并将其应用于Pattern时延差编码(PDS)水声通信体制,构成无源时间反转镜Pattern时延差编码水声通信系统(PTRM- PDS)。通过计算机仿真研究及湖试,验证了PTRM-PDS系统能够抑制声信道多途扩展产生的码间干扰,可在时变、空变的声信道中实现低误码率通信,具有很好的鲁棒性。     

点对点移动水声通信技术研究

点对点移动水声通信是实现由活动和静止节点共同构成的水声数据通信网的关键技术之一. 对移动水声通信声信道特性进行了分析,指出不同途径到达的声线对应的多普勒频偏不一致,进一步加大了多途扩展产生的码间干扰的复杂性,不利于水声通信. 提出单阵元被动式相位共轭镜信道均衡技术,可实时自动补偿多普勒频偏,并聚焦多途信号. 将单阵元被动式相位共轭应用于Pattern时延差编码移动水声通信系统,进行了移动水声通信试验,湖试结果验证了其消除码间干扰性能及本文水声通信系统的鲁棒性. 关键词： 移动水声通信 被动式相位共轭镜 时变信道 码间干扰     

采用时反和时频差分OFDM的水声语音通信方法

针对水声信道多径、时变、多普勒等恶劣传输特点对水声语音通信的严重影响,本文采用多通道时间反转和时频差分OFDM进行水声语音通信技术方案设计,该方法首先通过多通道时间反转进行时间域和空间域多径聚焦,进而结合时频差分OFDM调制解调抑制残留多径的影响。由于无需采用信道估计和均衡算法,系统实现方便、复杂度低,同时对信道具有一定程度的稳健性。该方法语音压缩编码采用混合激励线性预测编码。仿真实验和海试实验表明了本文方案的有效性。     

浅海环境中的时间反转多用户水声通信

在无线电通信中,多用户通信可以采用时分多址(TDMA)、频分多址(FDMA)或者码分多址(CDMA)技术来实现,在水声通信中,信道的多途传播特性带来的空间差异,提供了另外的多用户通信手段。时间反转(或相位共轭)技术,能够实现对空间中指定点的聚焦接收和多途压缩,它为空间位置不同的多个用户提供了相互独立的通信通道,能够很好地克服用户之间的同道干扰(CI)。本文在垂直阵接收的基础上,利用时间反转技术来实现不同用户在同一信道中的同时通信,结合带锁相环的自适应判决反馈均衡技术来消除残余的多途码间干扰,并进行了初步的海上试验,实现了两个不同深度上用户的同时通信。     

基于多径分集的啁啾扩频正交频分复用水声通信系统

针对传统正交频分复用系统在具有复杂多途和深度频率选择性衰落特点的水声信道中性能下降的问题,提出了啁啾扩频正交频分复用水声通信方案.该方案对原信息码扩频,子载波变为相同调频斜率、不同中心频率、频带相互重叠的正交啁啾信号.经过水声相干多途信道后在接收端解扩,使多个途径信号在频域上拓展,多径信号彼此分离.结合虚拟时间反转镜技术,聚焦多途信道能量,完成信道多径分集接收,不仅可以抑制频率选择性衰落的影响,还充分利用信道多径分集增益提高系统性能.通过仿真研究和湖试验证,表明该方案具有较好的有效性和可靠性.     

水声多途信道的维纳误差限信道质量量化分析方法

提出了一种定量分析不同多途结构的时不变水声信道对单载波水声通信系统性能影响程度的方法。该方法利用水声信道下信号线性均衡的残留均方误差与通信系统误比特率性能相关性强的特点,计算信号线性均衡的残留均方误差极限,并将其表示为只与信道冲激响应有关的变量,称之为维纳误差限(WEB),将此作为多途信道质量量化指标来评估多途信道对通信性能的影响。为验证方法性能,对比分析了大量海试实测水声信道下,线性均衡、判决反馈均衡以及Turbo均衡等单载波通信中3种常用信道均衡方法的误比特率与多种水声信道质量量化指标的相关性,利用Spearman相关系数对相关性进行量化分析,实验结果表明,相比于时延扩展、相干带宽、频谱衰落深度和信号多径比等传统信道多途特性量化指标,维纳误差限与均衡后误比特率的Spearman相关系数更高,平均相关系数可达0.71。利用维纳误差限可有效量化和分类不同质量的多途信道,定量体现不同水声信道多途结构对于通信性能的影响程度。     

相干水声通信幅相加权空间分集均衡算法

水声信道的典型特点为多普勒频移严重、可利用带宽窄以及强多径干扰。空间分集均衡技术是相干水声通信中克服信道多径干扰,消除码间干扰的一种有效手段。为了极大化地输出阵增益,结合无源相位共轭方法和多通道均衡算法,本文设计了组合信噪干比的全新信道评价方法。利用改进的Sigmoid函数对各通道接收信号的幅度进行加权处理;采用二阶锁相环跟踪各通道信号的相位变化,实现各通道信号同相累加。将各通道低通滤波后的信号能量归一化,采用了分数阶-判决反馈分集均衡器,加入各通道权重系数实现了水声通信系统的分集均衡接收。仿真结果和湖试数据处理结果均表明,优化的幅相加权分集均衡接收算法能抵消多径和噪声的干扰,性能优于等增益合并接收算法。湖试数据处理结果误码率降低了1.8%。      

海豚Whistles为信息载体的正交频分复用循环移位键控扩频伪装水声通信

提出一种伪装水声通信调制方法,将原始海豚whistles信号表示为以自身DFT系数为数据符号的正交频分复用(OFDM)块,采用m序列对OFDM块中的子载波幅度进行指数调制实现正交频分复用循环移位键控(OFDM-CSK)扩频调制,分别采用PEAQ算法与相关系数计算听觉与波形相似度,作为两个客观评价结果约束OFDM子载波幅度的修改程度,保证伪装的效果。提出匹配滤波与正交匹配追踪结合的自同步算法,使伪装通信信号帧结构的设计保持原始whistles叫声的模式,提高了伪装的效果。通过CSK扩频技术很大程度地提高系统的频带利用率且通过垂直阵虚拟时间反转信道均衡技术提高了通信系统的稳健性。海上试验验证了伪装通信方法的可行性。      

Exploiting joint sparsity for underwater acoustic MIMO communications

MIMO communication has been recognized as a potential solution for high speed underwater acoustic communication, which unfortunately encounters significant difficulties posed by simultaneous presence of multipath and Co-channel interference (CoI). Sparsity contained in the multipath structure of underwater acoustic channels offers an effective way for improving channel estimation quality and thus enhancing the communication performance in the form of time reversal or channel estimation based equalization. However, for MIMO channels with extensive multipath and CoI, the performance gain achieved by classic sparsity exploitation channel estimation methods such as orthogonal matching pursuit (OMP) is still not enough to yield satisfactory performance. Under quasi-stationary assumption, underwater acoustic channels of adjacent data blocks exhibit correlated multipath structure, namely, multipath arrivals with similar time delay but different magnitude, which has not been exploited. In this paper, a joint sparse recovery approach is proposed to exploit the sparse correlation among adjacent data blocks to improve the performance of channel estimation. Under the framework of distributed compressed sensing (DCS), a joint sparse model which treats the multipath arrivals as sparse solutions with common time support is adopted to derive a joint sparse recovery algorithm for efficient channel estimation, the results of which are used to initialize and periodly update a channel estimation based time reversal receiver. Finally, underwater MIMO communication experimental results obtained in a shallow water channel are provided to demonstrate the effectiveness of the proposed method, compared to the same type of receiver that do not exploit the joint sparse.     

Spatial diversity and combination technology using amplitude and phase weighting method for phase-coherent underwater acoustic communications

The UWA channel is characterized as a time-dispersive rapidly fading channel,which in addition exhibits Doppler instabilities and limited bandwidth. To eliminate intersymbol interference caused by multipath propagation, spatial diversity equalization is the main technical means. The paper combines the passive phase conjugation and spatial processing to maximize the output array gain. It uses signal-to-noise-plus-interference to evaluate the quality of signals received at different channels. The amplitude of signal is weighted using Sigmoid function. Second order PLL can trace the phase variation caused by channel, so the signal can be accumulated in the same phase. The signals received at different channels need to be normalized. It adopts fractional-decision feedback diversity equalizer(FDFDE) and achieves diversity equalization by using different channel weighted coefficients. The simulation and lake trial data processing results show that, the optimized diversity receiving equalization algorithm can improve communication system's ability in tracking the change of underwater acoustic channel,offset the impact of multipath and noise and improve the performance of communication system.The performance of the communication receiving system is better than that of the equal gain combination. At the same time, the bit error rate(BER) reduces 1.8%.     

Coherent underwater communication using passive time reversal over multipath channels

Passive time reversal exploits underwater acoustic channels’ spatial and temporal diversity. It can refocus multipath propagated signal at the receiver and can be realized simply by the passive phase conjugation (PPC) method. By the temporal focusing, time delay spread caused by multipath propagation is mitigated for spectral efficient coherent communications. However, the PPC method is unable to eliminate multipath and is limited by channel variations. An adaptive equalizer is therefore needed to compensate residual multipath after refocusing and to track channel temporal variations. Spatial diversity is obtained by using a vertical receiving array. In this paper we used 4-hydrophone array and demonstrated that the adaptive decision feedback equalization in conjunction with PPC significantly decreased the bit error rate.     

Time reversal multiple-input/multiple-output acoustic communication enhanced by parallel interference cancellation

Multiple-input/multiple-output (MIMO) techniques can lead to significant improvements of underwater acoustic communication capabilities. In this paper, receivers based on time reversal processing are developed for high frequency underwater MIMO channels. Time reversal followed by a single channel decision feedback equalizer, aided by frequent channel updates, is used to compensate for the time-varying inter-symbol interference. A parallel interference cancellation method is incorporated to suppress the co-channel interference in the MIMO system. The receiver performance is demonstrated by a 2008 shallow water experiment in Kauai, Hawaii. In the experiment, high frequency MIMO signals centered at 16 kHz were transmitted every hour during a 35 h period from an 8-element source array to a wide aperture 16-element vertical receiving array at 4 km range. The interference cancellation method is shown to generate significant performance enhancement, on average 2-4 dB in the output signal-to-noise ratio per data stream, throughout the 35 h MIMO transmissions. Further, communication performance and achieved data rates exhibit significant changes over the 35 h period as a result of stratification of the water column.     

水声通信中基于信道辨识的盲turbo均衡方法

水声信道多途效应明显,造成接收信号存在严重的码间干扰(ISI,Intersymbol interference)。基于最小均方误差(MMSE,Minimum mean square error)准则的turbo均衡器级联了均衡和信道译码,能够有效去除ISI,并获得优良的性能。由于水声信道的时变性,传统MMSE-turbo均衡需要周期性的训练序列,以实现连续可靠的通信。训练序列虽然提高了通信的可靠性,但降低了信息的有效传输速率。因此,为提高通信效率,本文提出了一种盲turbo均衡方法,该方法通过引入新的盲信道辨识器来同时获得信道估计响应和已去除部分ISI的初步均衡输出信号,并为turbo均衡提供初始的响应参数和比特软信息。与水声通信中应用较多的盲判决反馈均衡器(DFE,Decision feedback equalizer)相比,海上实验结果证明本文提出的盲turbo均衡方法抗信道多途衰落的能力较强,并且与传统MMSE-turbo均衡相比无需训练序列,因此提高了信息的有效传输速率。