浅海声传播和混响的选频衰减

在强负跃层浅海的爆炸声实验中,发现当声源和接收器都位于跃层之上时,平均混响强度和某一航向的声传播损失在频率1000-2000Hz之间出现强烈的异常衰减现象,而且很有意思的是发射和接收均无指向性的平均混响强度的异常衰减与该航向声传播损失的异常衰减具有中心频率相同、带宽一致、附加衰减值相近的窄带共振或选频衰减特权.显然,这一异常衰减现象无法用各向异性的机理(内波、海面或海底的有规律起伏等)来解释.根据本文实验所得的传播损失和混响强度的深度结构以及一些间接的证据,我们认为这一选频附加衰减是由分散活动干跃居上部的有鳔鱼(极可能是鱼)所引起的.     

海底沉积物声衰减同轴差距衰减测量法与其他测量方法的对比研究

以精度较高的现场测量Hamilton的原位测量所得数据为标准,对比研究了钱正明的直立同轴衰减测量法、刘强的垂直轴差距衰减测量法和我们课题组的同轴差距衰减测量法等3种研究海底沉积物声衰减的实验室测量方法。通过3种实验测量方法所得数据跟Hamilton原位测量所得数据进行对比,分析了以上实验室方法的优缺点,并分析了声衰减与样品长度和测量频率的关系。同轴差距衰减测量法与直立同轴衰减测量法相比,前者在消除测量仪器和耦合衰减误差方面,以及在实验样品长度方面更合理。同轴差距衰减测量法与垂直轴差距测量法相比,同轴差距衰减测量法在原理上保证了声波传播能量接收的同轴性和同指向性,其实验数据比利用相同实验仪器的垂直轴差距测量法的数据更准确。     

由远程声传播估算海洋pH值的一种方法

海洋中的低频(<1000Hz)声吸收主要决定于海洋的pH值.虽然测得的远程(1000km量级)声传播的绝对幅度相当复杂地依赖于海洋的介质和环境参数,但对不同频率间的相对吸收差的测量能给出有用的信息.此外,沿海面反射声线(RSR)的传播衰减还应附加上海面散射引起的损失.原则上通过比较发射和接收到的声信号的频谱能估算海洋的pH值和表面粗糙度.我们分析了北太平洋750km声传播实验的部分数据.实验结果与理论估算定性地相符,但其测量精度还不足以进行定量的比较(该实验并不是为测量相对吸收差而设计的).估算表明,为了获得0.05的pH测量精度,当信号频率为550±100Hz,传播距离为750km时,对北太平洋(pH≈7.7)和大西洋(pH≈8.0)海域分别需要对100和60个独立测量样本进行平均以消除内波及噪声引起的幅度谱畸变.     

Biot反演在夏威夷钙质沉积物原位测量声速和衰减中的应用

对夏威夷檀香山岛的两个站(H3和H4)钙质沉积物进行了20～100kHz的原位纵波声速和声衰减测量.它们均有轻微的频散.随频率的增加H3站位声速从1691m/s增加到1708m/s,H4站位的声速从1579m/s增加到1585m/s.随频率的增加H3站位的有效衰减从15dB/m增加到75dB/m,H4站位的有效衰减从22dB/m增加到62dB/m.运用Biot-Stoll模型对所测得的纵波速度和声衰减数据进行了Biot模型未知参数反演,发现粒径较大的H3站的沉积物(孔隙率为45%)比粒径较小的H4站的沉积物(孔隙率为56%)具有曲率小和渗透率及孔隙半径都大的性质.     

基于训练序列的水声信道多普勒频移估计

由于水声通信媒介(声波)速度远远小于陆地通信媒介(无线电波)速度,水声通信多普勒频移比陆地无线通信多普勒频移要大几个数量级,因此多普勒频移估计是水声通信的一个重要问题。文中提出了一种水声通信系统中基于训练序列的多普勒频移估计方法。在接收端先由已知训练符号构造无噪声干扰下的理论接收信号;再根据理论接收信号与实际接收信号之间的误差平方和最小,得到含有信道衰减因子A和多普勒因子Δ的双变量目标函数,根据此目标函数的曲面图以及对其的分析,发现A的不同取值基本不影响Δ的寻优,从而可将双变量目标函数变成单变量目标函数;然后利用全局优化理论中求解有限区间内多峰值函数最值的区间斜率算法,求解多普勒因子的最小二乘估计值,从而得到多普勒频移的估计值。文中还分析了区间斜率算法的收敛性,且仿真结果显示所提算法优于现有算法。     

一种针对小多普勒扩展水声信道的OFDM接收算法

在水声正交频分复用（OFDM）通信系统中,水声信道中的多径时延扩展会带来频域选择性衰落,多普勒效应会带来子载波间干扰（ICI）。传统接收算法需要开展复杂的二维（时延/多普勒）信道估计,再进行复杂的信道均衡和符号检测。针对有限多普勒扩展的信道条件下多普勒矩阵元素变化缓慢、ICI干扰范围有限的特点,借鉴多项式拟合思想,提出了一种创新的接收算法。该算法将多普勒矩阵元素近似为多项式函数,迭代进行多项式拟合和数据符号频域均衡。和传统方法相比,该算法无需进行信道多普勒估计,仅需信道的一维（时延）估计即可实现较好的性能。利用Bellhop产生的水声信道仿真结果验证了该算法的可行性。     

海洋沉积物特性的现场测量方法

把二只电声换能器安装在静力采样器箱体底部,测量声脉冲通过箱体中沉积物的传播时间,获得沉积物声速值;检测接收幅度,观察不同沉积物的衰减系数;利用LDC1—1型静力采样器的箱体与底架的相对位移带动多圈电位器的动臂,提供一个随取样深度而变化的电压值,由X—Y函数记录器记录。在取样的同时现场测量沉积物的声速和衰减的垂直分布。结果表明:实验室和现场所得的沉积物声速、声衰减与沉积物的类型密切相关。     

消频散变换反演海底地声参数

提出1种将消频散变换应用到海底地声参数反演的方法。对单一水听器接收声压信号进行消频散处理后,根据群延时差建立代价函数,反演得到主要海底参数,最后根据贝叶斯统计理论给出了待反演地声参数的边缘后验概率密度。对单层波导进行仿真证明这种新方法的有效性。     

北极冰下声传播特性实验研究

通过2017年8月6日在北极海域开展的一次声传播实验,开展了冰下声传播特性实验研究。结合Burke-Twersky （BT）散射模型与射线模型,分析了冰下声传播的多途到达结构,研究了接收声强变化规律,解释了接收声强在30 min内衰减20 dB的现象,分析了接收信号的时间相关性,探讨了接收信号相关性较低的原因。实验结果表明,表面接收信号主要由小角度多次反转反射声线、一次海底反射声线和二次海底反射声线依次构成,表面声道到达信号显著强于海底反射信号。试验冰站在试验期间的运动导致了声传播信号强度和相关性的迅速衰减,并通过仿真得到了验证。     

OTFS水声通信技术研究现状与展望

正交时频空调制是近年来提出的一种用于高速移动无线通信场景的调制技术,通过将时变多径信道转换到时延–多普勒域,使得所有符号都经历几乎相同且变化缓慢的稀疏信道。与正交频分复用系统相比,正交时频空技术具有较低的峰均功率比,且能够有效抵抗多普勒效应,在高时延、高多普勒的信道条件下具备性能优势。简要介绍了正交时频空技术的基本原理,以及目前无线电及水声通信领域正交时频空技术研究与应用现状,梳理了正交时频空技术在工程应用中亟待解决的关键问题,如波形设计、信道估计和均衡以及接收机结构设计等。最后对正交时频空技术在水声通信系统中面临的挑战和应用前景进行了分析和展望。     

子波在水声信道多分辨率均衡方法中的应用

本文在确定了水声信道的数学描述后，提出了在信道自适应过程中，可以应用子波对信号进行多分辨率分解，逐尺度地对信道进行均衡，这样，不但减少了运算数据量，也减少了均衡所需的权系数个数，计算机仿真结果令人满意。     

Adaptive equalization techniques for acoustic telemetry channels

A tutorial review of adaptive equalization techniques for combating intersymbol interference in high-speed digital communications over time-dispersive channels is given. Various equalizer structures and the associated adaptive algorithms, including both fractionally spaced and symbol-spaced equalizers, are presented. Also considered is the application of adaptive equalization techniques to underwater acoustic telemetry channels     

Phase-coherent digital communications for underwater acousticchannels

High-speed phase coherent communications in the ocean channel are made difficult by the combined effects of large Doppler fluctuations and extended, time-varying multipath. In order to account for these effects, we consider a receiver which performs optimal phase synchronization and channel equalization jointly. Since the intersymbol interference in some underwater acoustic channels spans several tens of symbol intervals, making the optimal maximum-likelihood receiver unacceptably complex, we use a suboptimal, but low complexity, decision feedback equalizer. The mean squared error multiparameter optimization results in an adaptive algorithm which is a combination of recursive least squares and second-order digital phase and delay-locked loops. The use of a fractionally spaced equalizer eliminates the need for explicit symbol delay tracking. The proposed algorithm is applied to experimental data from three types of underwater acoustic channels: long-range deep water, long-range shallow water, and short-range shallow water channels. The modulation techniques used are 4- and 8-PSK. The results indicate the feasibility of achieving power-efficient communications in these channels and demonstrate the ability to coherently combine multiple arrivals, thus exploiting the diversity inherent in multipath propagation     

Simulations of an adaptive equalizer applied to high-speed oceanacoustic data transmission'

Computer simulations are carried out to study the feasibility of an adaptive equalizer applied to an hydroacoustic data-transmission channel. The channel is examined with a comprehensive acoustical model to acquire worst-case examples of the ocean acoustic transmission channel. The equalizer performance is investigated by simulations with a computer-generated channel response. Equalizer behavior in a mobile time-variant environment is also studied by use of a simplified, time-discrete multipath channel model. A stochastic gradient lattice equalizer is simulated for a channel which varies due to movement of the transmitter platform. The equalizer was able to track a velocity of up to 0.4 m/s for a favorable transmission geometry, using a transmitter beamwidth of 10°. The results demonstrate the feasibility of coherent modulation schemes for medium-distance ocean acoustic telemetry. It was found that small beamwidths are imperative in maintaining signal coherence and in facilitating adaptive equalization. In particular, narrow-beam transducers will reduce equalizer complexity as well as the frequency spread     

北极冰下水声通信中改进的最小均方/四次方直接自适应均衡器

本文提出了一种适用于北极冰下水声通信的最小均方/四次方直接自适应均衡器（LMS/F-DAE）。它能处理基带复信号,与LMS相比,具有更好的均衡效果。考虑到均衡器的稀疏特性,在其代价函数中加入自适应范数（AN）作为约束。它能根据均衡器系数的大小自适应变化：对于小系数,此约束项存在以加快收敛速度;对于大系数,此约束项不存在以减小均衡误差。利用第九次中国北极科学考察得到的实验数据验证AN-LMS/F-DAE的性能。结果表明,与传统的LMS/F-DAE相比,AN-LMS/F-DAE能提升均衡器的稀疏性且均衡性能更优。     

Shipborne Underwater Acoustic Communication System and Sea Trials with Submersible Shenhai Yongshi

The Shipborne acoustic communication system of the submersible Shenhai Yongshi works in vertical, horizontal and slant channels according to the relative positions. For ease of use, an array combined by a vertical-cone directional transducer and a horizontal-toroid one is installed on the mothership. Improved techniques are proposed to combat adverse channel conditions, such as frequency selectivity, non-stationary ship noise, and Doppler effects of the platform’s nonlinear movement. For coherent modulation, a turbo-coded single-carrier scheme is used. In the receiver, the sparse decision-directed Normalized Least-Mean-Square soft equalizer automatically adjusts the tap pattern and weights according to the multipath structure, the two receivers’ asymmetry, the signal’s frequency selectivity and the noise’s spectrum fluctuation. The use of turbo code in turbo equalization significantly suppresses the error floor and decreases the equalizer’s iteration times, which is verified by both the extrinsic information transfer charts and bit-error-rate performance. For noncoherent modulation, a concatenated error correction scheme of nonbinary convolutional code and Hadamard code is adopted to utilize full frequency diversity. Robust and low-complexity synchronization techniques in the time and Doppler domains are proposed. Sea trials with the submersible to a maximum depth of over 4500 m show that the shipborne communication system performs robustly during the adverse conditions. From the ten-thousand communication records in the 28 dives in 2017, the failure rate of the coherent frames and that of the noncoherent packets are both below 10%, where both synchronization errors and decoding errors are taken into account.     

Spatial diversity equalization applied to underwater communications

Underwater acoustic digital communication is difficult because of the nature of the fading multipath channels. Digital signal processing, such as adaptive equalization, is known to greatly improve the communication data rate by limiting intersymbol interference (ISI). However, existing underwater acoustic equalization studies are limited to single-channel techniques, and spatial diversity processing is limited to selection or combining. In this paper, we design minimum mean-square error (MMSE) equalizers jointly among all spatial diversity channels. We call this spatial diversity equalization (SDE). Results are based on a very sparse vertical array in a midrange underwater acoustic channel. We study the effect of element number and placement, the length of the equalization filters, and linear feedforward versus nonlinear decision feedback algorithms. A suboptimum equalizer combiner (EC) is studied to alleviate the computational intensity of JCE. We first design the system for a known acoustic channel; later, some results are verified using adaptive algorithms. Results are presented both in terms of the mean-square error (MSE) and the probability of a symbol error. The latter is important as it is the ultimate interest for a digital communication system. We found that system performance improves rapidly with an increase in the number of spatial channels     

A Variable-Rate Spread-Spectrum System for Underwater Acoustic Communications

A key research area in underwater acoustic (UWA) communication is the development of advanced modulation and detection schemes for improved performance and range-rate product. In this communication, we propose a variable-rate underwater data transmission system based on direct sequence spread spectrum (DSSS) and complementary code keying (CCK), particularly for shallow-water acoustic channels with severe multipath propagation. We provide a suboptimum receiver that consists of a bidirectional decision feedback equalizer (BiDFE) to cancel both postcursor and precursor intersymbol interference (ISI). We also develop iterative signal processing and time-reversal (TR) diversity processing to mitigate the effect of error propagation in BiDFE. We present performance analysis on bit error rate (BER) for different data rates. Our works show that this new variable-data-rate DSSS-CCK is a suitable candidate for UWA communications over varying channel conditions and distance.      

Performance limitations in underwater acoustic telemetry

Performance limitations in digital acoustic telemetry are addressed. Increases in computational capabilities have led to a number of complex but practical solutions aimed at increasing the reliability of acoustic data links. These solutions range from ocean-basin scale data telemetry to video-image transmission at a few hundred yards' distance. The opportunity to implement highly complex tasks in real time on modest hardware is a common factor. The data rates range from 1 to 500 kb/s and are much slower than satellite channels, while acceptable system complexity is higher than virtually any other channel with comparable data throughput. The basic performance bounds are the channel phase stability, available bandwidth, and the channel impulse response fluctuation rate. Phase stability is of particular concern for long-range telemetry, channel fluctuation characteristics drive equalizer, and synchronizer design; the bandwidth limitation is a direct constraint on data rate for a given signaling method     

MIMO Underwater Acoustic Communication in Shallow Water with Ice Cover

Although multiple-input multiple-output(MIMO) underwater acoustic(UWA) communication has been intensively investigated in the past years, existing works mainly focus on open-water environment. There is no work reporting MIMO acoustic communication in under-ice environment. This paper presents results from a recent MIMO acoustic communication experiment which was conducted in Bohai Gulf during winter. In this experiment, high frequency MIMO signals centered at 10 kHz were transmitted from a two-element source array to a four-element vertical receiving array at 1 km range. According to the received signal of different array elements, MIMO acoustic communication in under-ice environment suffers less effect from co-channel interference compared with that in open-water environment. In this paper, time reversal followed by a single channel decision feedback equalizer is used to process the experimental data. It is demonstrated that this simple receiver is capable of realizing robust performance using fewer hydrophones(i.e. 2) without the explicit use of complex co-channel interference cancelation algorithms, such as parallel interference cancelation or serial interference cancelation.