Underwater Acoustic Image Transmission System Based on DSP

The underwater acoustic image transmission system based on the high-speed DSP device TMS320C549 has been studied.We use Goertzel algorithm for source decoding and MFSK for modulation.Turbo code is used for channel coding and decoding.The purpose is to implement underwater video image data transmission.     

A simulation involving MAPS video bandwidth reduction, acoustic channel errors, and error checking

The reliable acoustic transmission of images that have been processed by a video bandwidth reduction technique such as Micro-Adaptive Picture Sequencing (MAPS) necessitates a robust coding scheme. This is due to the fact that errors effect compressed data more seriously than uncompressed data. For this reason image quality is a function of three system variables: image compression, channel noise, and error checking. A real-time simulation has been developed to determine the relationship between the three system variables. The simulator uses two 68000 microcomputers connected by a serial link; one does image compression and noise modeling while the other performs error checking and image reconstruction. The noise model uses 17 characteristics and operating parameters of the acoustic channel to corrupt the image data with single bit random errors. At the receiver the error checking can correct up to 90 percent of the most serious single bit errors.     

Low-bit-rate coding of underwater video using wavelet-basedcompression algorithms

Recent advances in autonomous underwater vehicle (AUV) and underwater communication technology have promoted a surge of research activity within the area of signal and information processing. A new application is proposed herein for capturing and processing underwater video onboard an untethered AUV, then transmitting it to a remote platform using acoustic telemetry. Since video communication requires a considerably larger bandwidth than that provided by an underwater acoustic channel, the data must be massively compressed prior to transmission from the AUV. Past research has shown that the low contrast and low-detailed nature of underwater imagery allows for low-bit-rate coding of the data by wavelet-based image-coding algorithms. In this work, these findings have been extended to the design of a wavelet-based hybrid video encoder which employs entropy-constrained vector quantization (ECVQ) with overlapped block-based motion compensation. The ECVQ codebooks were designed from a statistical source model which describes the distribution of high subband wavelet coefficients in both intraframe and prediction error images. Results indicate that good visual quality can be achieved for very low bit-rate coding of underwater video with our algorithm     

Optimum design of the ocean acoustic tomography system for the Sea of Japan

An ocean acoustic tomography system covering the region of 800×1000 km with the spatial resolution of eddy-resolving scales has been designed on the basis of computer experiments using the hydrographic data collected in the Sea of Japan. The optimum number of acoustic sources required for 20 acoustic receivers was estimated as 13 by changing the source number. The spatial resolution for the optimum system was 41 km smaller than the dominant size of meso-scale eddies in the Sea of Japan. The effect of travel-time errors on tomographic maps is also quantified.     

MUSIC算法在国产多波束测深仪中的应用研究

针对现有以常规波束形成技术为基础的多波束测深算法中存在空间分辨率不足的问题,将子空间类高分辨算法MUSIC应用到国产多波束测深系统中,探索提高多波束系统空间分辨力的方法。对MUSIC算法原理进行了数学表达式推导和性能分析,并通过计算机仿真、湖上试验数据处理验证了本算法能降低回波到达角度的估计误差,有效地提高了空间方位估计精度,具有实际应用的可行性。     

Angular-spectral decomposition beamforming for acoustic arrays

The method of principal component beamforming described in this paper is an array data reduction method that allows one to observe the statistically uncorrelated components of wave energy arriving at an array of acoustic sensors. The method can be used to process array data so as to observe and identify the sources of noise, both environmental and self noise. After identifying the sources of noise, the method of principal components can be used to discriminate signal from noise. The method can be applied to active systems (subbottom profilers) as well as passive systems. A model of isotropic noise and incident bandlimited plane waves is used to study array resolution and bandwidth effects. Experimental data from a2 times 3planar acoustic array were used to identify sources of hydro-flow related noise in an underwater vehicle. In all cases studied, the technique provides a maximum spatial information analysis method to the observer.     

Adaptive multiuser detection for underwater acoustical channels

An underwater acoustic local area network (ALAN) provides multipoint-to-point telemetry between many high-rate, ocean-bottom sensors and a central, surface-deployed receiver in the 10-30 kHz vertical acoustical channel. Ocean-bottom modems initiate the transmission process by requesting data channel time slots via a common narrow-band request channel. Request packets overlap in time and frequency in this channel, and the throughput and average transmission delay rely heavily on the successful resolution of the request packet collisions. This paper presents the design, analysis, and experimental demonstration of a request channel receiver capable of resolving collisions between several asynchronous and cochannel packets. The receiver algorithm differs from standard capture schemes (by demodulating the data from both strong and weak transmitters), conventional spread-spectrum receivers (by overcoming the near-far problem), and existing multiple-access demodulation techniques (by adapting to the number of interfering signals, and the unknown phase, Doppler, amplitude, and timing of each signal in the collision). The receiver demodulates the collided packets by decision-directed techniques through a novel method of estimating the interference for each user which minimizes error propagation due to inaccurate tentative decisions. An inwater experiment illustrates that this technique is extremely desirable for collision resolution in underwater acoustic local area networks, and also for underwater autonomous vehicles with both sidescan sonar as well as acoustic telemetry links     

Spatial and temporal pulse design considerations for a marinesediment classification sonar

A linear FM sonar system was developed to support the objective of remote acoustic classification of seafloor sediments. It is a calibrated, wideband, digital, frequency modulated sonar that provides quantitative, high-resolution, low-noise sub-bottom data. Since the linear sonar system can precisely transmit a specified waveform, the calibrated digitally recorded reflection data can be processed to estimate the acoustic impulse response of the seabed and sediment attenuation. An acoustic pulse with special frequency domain weighting characteristics is designed to provide low temporal sidelobe levels and a nearly constant resolution with depth even after passing through a sediment with high losses such as sand. After correlation processing, the wideband acoustic pulse yields an effective beam pattern with high spatial resolution and insignificant sidelobe levels. Data sets generated with the FM profiler indicate that the required temporal and spatial characteristics of the sonar are realized in practice     

基于DSP的水下图像传输系统研究

本文研究了基于高性能的DSP芯片TMS320C549的水下图像传输系统，并采用Goertzel算法进行信源编码和MFSK调制方式、运用Turbo码进行信道的编、解码，来实现水下视频图像高速数据传输的目的。     

高分辨率SAR影像在海岛监视监测中的应用

高分辨率合成孔径雷达(SAR)是先进的成像微波遥感器,可全天候和全天时工作,在海岛监视监测中发挥特殊作用。文章概述高分辨率SAR的成像原理和国际应用进展,通过介绍海岛礁在高分辨率SAR影像上的表现,直观展示高分辨率SAR在小海岛识别和海岛开发工程监视监测等方面的应用,尤其提出利用SAR影像特征区分小海岛和船只的方法,同时提出将高分辨率SAR影像与中分辨率光学影像相结合的应用建议,助力我国海岛保护管理和监视监测工作。     

基于深度学习的视频观测潮位技术研究——以厦门高崎码头为例

近岸潮位观测是海洋工程应用、海岸防灾减灾、海岸带管理以及海洋有关科研工作中最基础的工作之一。文章基于视频图像深度学习的方法,使用YOLOv5目标检测算法从安装在近岸的固定摄像机拍摄的视频帧中提取潮汐水位特征进行潮位分析。研究采用厦门高崎码头的分辨率为1920×1080的高清摄像头2023年2月的影像数据作为训练集和验证集,2023年3月的影像数据作为测试集,利用岸边验潮井逐时潮位数据进行标注,采用YOLOv5目标检测算法来训练。计算结果显示,通过视频观测潮位在训练集和测试集上的误差分别为3.9 cm和5.3 cm。视频中1个像素点代表3.8 cm,因此潮位观测的平均误差为像素级。研究表明在近岸通过高清摄像头基于图像深度学习进行潮位观测的方法是可行的,观测精度取决于图像目标物的分辨率。     

基于小波变换和零树法的水声信道彩色图像压缩编解码研究

基于小波变换和“改变了的”零树法编解码原理 ,结合水声信道的特点 ,构建了一个以 DSP为核心的图像处理系统。在不同压缩比的情况下 ,完成了对一幅 6 4× 6 4点阵的静态彩色图像数据的压缩和解压缩。当压缩比与传统的 JPEG算法的压缩比相近的情况下 ,解压缩后图像的总体观感效果有明显的改善 ,从而对在水声信道中传输彩色图像作出了积极的尝试     

Coastal acoustic tomography system and its field application

The coastal acoustic tomography system (CATS), composed of five moored acoustic stations, has been constructed to measure current fields. The system is developed with special considerations in mind, including the use of Global Positioning System clock signals in the synchronization of the system clock timing among the multiple acoustic stations, and the use of the differently coded Gold sequences to identify the acoustic signals corresponding to individual stations from a received signal. The CATS was successfully applied to map the structure of strongly nonlinear tidal currents in the coastal sea. In spite of the limited spatial resolution caused by inadequate sound transmission data, the two-dimensional tidal vortices features of growth, translation, and decay processes are reconstructed through an inverse analysis of the acoustic travel time obtained among the station pairs. It is evident that the CATS is a powerful tool for measuring variable current fields generated in the coastal seas     

高空间分辨率遥感影像融合方法探讨

针对高空间分辨率遥感影像特点,利用IHS变换、Brovey变换、PCA主成分变换、Gram_Schmidt变换以及Pansharp变换等五种融合方法对QuickBird影像进行了融合实验,并从目视效果、波谱剖面图以及定量分析三方面对融合后影像质量做出了科学的比较,结果表明Pansharp和Gram_Schmidt融合算法更适合高分辨遥感影像融合。     

水声信道高速率数据传输技术

本文介绍近年来水声信道高速率数所传输技术的一些研究进展，并结合本所研究的水声数据遥测，数字语音通讯和视频图像传输实验样机，讨论了具有抗多途干扰的声传输系统在调制信号设计及信号处理上所采用的关键技术。     

水声通信中基于小波变换的图像编码研究

提出了一种高误比特率传输条件下的图像编码方法，它适用于水声信道的图像传输。针对水下图像的特点，选取合适的小波基和变换参数对图像进行离散小波变换；依据小波系数的能量分布特性，对不同的子带采用不同的量化和定长编码，编码率为0．8比特／像素。水声通信试验表明，在传输误比特率达到10^-2时，仍能得到可接受的图像质量。     

HY-1C卫星CZI载荷的黄海绿潮提取研究

海洋一号C（HY-1C）卫星是中国首颗海洋水色业务卫星,其搭载的海岸带成像仪（CZI）在近海海洋环境监测中正发挥越来越重要的作用;随着搭载有相同传感器的HY-1D卫星发射,双星组网观测,可形成3天2次的高频次、大范围对海观测能力,在海洋漂浮藻类、海洋溢油等目标探测方面具备优异的效能。高空间分辨率光学数据中包含了丰富的海洋环境信息,给特定目标的识别提取带来一定干扰。本研究面向HY-1C卫星CZI载荷开展中国近海漂浮藻类识别提取的业务化应用需求,发展基于藻类缩放指数与虚拟基线高度融合的海洋漂浮藻类识别提取算法,算法优选适用于无短波红外波段国产数据的虚拟基线高度指数来增强藻类信号,通过藻类缩放指数滑动窗口运算,有效剔除高空间分辨率光学数据中的复杂干扰信息,实现了基于CZI数据的海洋漂浮藻类高精度提取,且具有较好的计算运行效率。此外,结合准同步高分卫星16 m多光谱数据,开展CZI数据含藻像元的不确定性分析,发现CZI数据反演结果对近海小斑块漂浮藻类存在不可忽视的高估现象。研究还指出,光学数据用于漂浮藻类监测,其不确定性不仅来源于传感器的空间分辨率差异,还与海洋漂浮藻类形态特征的空间分异性有关。明晰海洋漂浮藻类的形态学空间分异特征,将有助于提高光学数据反演结果的精度,并阐明不确定性。     

基于LZW的海底声学探测数据压缩方法研究

针对海底声学探测仪器采集数据量大而存储容量有限、数据传输带宽不足的实际问题,基于Lempel-Ziv-Welch(LZW)无损压缩算法,研究海底声学探测数据的实时压缩方法,提高数据压缩效果、节省传输带宽。并在LZW无损压缩算法的基础上结合数据存储的特点对压缩结果进行内存重新分配,极大提高压缩比(压缩数据大小/原始数据大小)。利用海底地震仪(OBS)采集的原始声学探测数据进行测试验证,结果表明该方法对于OBS声学探测数据有很好的压缩比,可用于对OBS采集的声学探测数据进行压缩处理,对于海底探测仪器的研发有很好的指导意义。     

矢量曲线数据的"流媒体"传输

网络环境下的空间数据采用从低分辨率到高分辨率逐级追加细节信息的“流媒体”传输,可以使用户在感到显示的信息能满足要求时随时暂停传输,从而提高传输效率,同时辅助从粗到细的信息导航。然而,矢量空间数据要实现这种渐进式的传输与可视化方式,要比栅格、DEM、TIN结构的空间数据复杂。基于Douglas曲线化简算法,在曲线层次化剖分基础上,将综合化简的中间过程由二又树作完整的记录,通过序列三角形的连续叠加,实现曲线的“流媒体”传输。     

Acoustic tracking of a freely drifting sonobuoy field: experimental results

This paper describes a regularized acoustic inversion algorithm for tracking individual elements of a freely drifting sonobuoy field using measured acoustic arrival times from a series of impulsive sources. The acoustic experiment involved 11 sonobuoys distributed over an 8/spl times/6-km field, with a total of six sources deployed over 72 min. The inversion solves for an independent track for each sonobuoy (parameterized by the sonobuoy positions at the time of each source transmission), as well as for the source positions and transmission instants. Although this is a strongly under-determined problem, meaningful solutions are obtained by incorporating a priori information consisting of prior estimates (with uncertainties) for the source positions and initial sonobuoy positions and a physical model for sonobuoy motion along preferentially smooth tracks. The inversion results indicate that the sonobuoys move approximately 260-700 m during the source-deployment period. Closely spaced sonobuoys move along similar tracks; however, there is considerable variability in track directions over the entire field. Positioning uncertainties in horizontal coordinates are estimated using a Monte Carlo appraisal procedure to be approximately 100 m in an absolute sense and 65 m in a relative sense. A sensitivity study indicates that the uncertainties of the a priori position estimates are the limiting factor for track accuracy, rather than data uncertainties or source configuration.