车载GNSS接收机多径抑制技术

在GNSS接收机的实际应用中,多径是影响定位精度的主要因素之一。在车载应用条件下,多径的影响由于快速的多径信道变化而变得更加明显,车载接收机的GNSS信号接收处理部分会受到包含周围运动车辆及其自身结构影响在内的复杂多径干扰。针对接收机的各个组成部分分析了天线设计、多径估计、多频测量、传感器融合等多种可用的多径抑制方法,并根据分析和比较结果指出:信号处理方法、基于导航的方法以及传感器融合方法是实现车载接收机多径消除的首选方法。     

一次典型CINRAD/SA接收机动态范围异常分析与处理

从一次典型的CINRAD/SA雷达数字化接收机动态范围异常故障人手,分析了影响接收机动态范围和动态极限性能扩展的主要因素,重点对动态异常进行了翔实分析.通过分步、分模块的动态范围调整与故障排查等一系列过程,详细诊断了导致接收机动态范围异常的故障原因,并迅速、准确的定位了故障单元,为数字中频接收机故障维修提供方法与借鉴.     

多波束测深误差源对测点位置归算影响研究

针对Rob Hare提出的多波束测点位置归算精度估计模型的不足,建立了顾及各项改正数之间相关性的改进模型.在多波束测点位置归算模型的基础上,分析了影响测点位置归算的各项误差来源,推导了各误差源对测点位置归算精度估计的影响量,结合算例,分别利用两种模型计算了各误差源对测点位置归算精度的影响量级,绘制了各误差源的误差曲线图与总位置误差曲线图,通过对计算结果的分析比较,得出了两种模型在评估多波束测点位置归算精度时存在的差异,由于顾及到改正数间的相关性,认为改进模型更加科学合理.     

The morphotectonics and its evolutionary dynamics of the central Southwest Indian Ridge (49° to 51°E)

The morphotectonic features and their evolution of the central Southwest Indian Ridge （SWIR） are dis- cussed on the base of the high-resolution flfll-coverage bathyraetric data on the ridge between 49°-51°E. A comparative analysis of the topographic features of the axial and flank area indicates that the axial topogra- phy is alternated by the ridge and trough with en echelon pattern and evolved under a spatial-temporal mi- gration especially in 49°-50.17°E. It is probably due to the undulation at the top of the mantle asthenosphere, which is propagating with the mantle flow. From 50.17° to 50.7°E, is a topographical high terrain with a crust much thicker than the global average of the oceanic crust thickness. Its origin should be independent of the spreading mechanism of ultra-slow spreading ridges. The large numbers of volcanoes in this area indicate robust magmatic activity and may be related to the Crozet hot spot according to RMBA （residual mantle Bouguer anomaly）. The different geomorphological feature between the north and south flanks of the ridge indicates an asymmetric spreading, and leading to the development of the OCC （oceanic core complex）. The tectonic activity of the south frank is stronger than the north and is favorable to develop the OCC. The first found active hydrothermal vent in the SWIR at 37°47＇S, 49°39＇E is thought to be associated with the detach- ment fault related to the OCC.     

Determination of Precise Instantaneous Height at Multibeam Transducer

To overcome the shortcomings of the traditional multibeam survey and data processing, a new method is presented for the precise determination of the instantaneous height at the multibeam transducer by ...     

利用深层卷积神经网络实现地形辅助的多波束海底底质分类

海底底质分类对于海洋资源开发与利用、海洋科学研究等多方面具有重要意义。目前,多波束探测是实现大范围海底底质分类的有效手段之一,通常基于多波束反向散射强度提取角度响应(AR)特征及反向散射图像特征进行底质分类。由于特征来源较单一,分类器结构简单,往往分类精度不高。为此,本文提出了一种基于深层卷积神经网络(CNN)的多波束海底底质分类方法。除反向散射强度特征外,还利用地形特征,将特征向量转换为波形图,再输入卷积神经网络进行训练和分类。试验对比不同特征组合以及BP网络、支持向量机(SVM)、K近邻(KNN)、随机森林(RF)4种常规分类器,本文模型算法总体分类精度达到94.86%,Kappa系数为0.93,精度具有明显优势,效率也比较高。表明该方法有效利用两种数据类型所蕴含的海底底质信息,充分发挥卷积神经网络权值共享、高效率等特点,实现高分辨率海底底质分类,可对海底底质分类研究提供参考。     

Frontiers in Seafloor Mapping and Visualization

Over the past few years there have been remarkable and concomitant advances in sonar technology, positioning capabilities, and computer processing power that have revolutionized the mapping, imaging and exploration of the seafloor. Future developments must involve all aspects of the “seafloor mapping system,” including, sonars, ancillary sensors (motion sensors, positioning systems, and sound speed sensors), platforms upon which they are mounted, and the products that are produced. Current trends in sonar development involve the use of innovative new transducer materials and the application of sophisticated processing techniques including focusing algorithms that dynamically compensate for the curvature of the wavefront in the nearfield and thus allow narrower beam widths (higher lateral resolution) at close ranges . Future developments will involve “hybrid”, phase-comparison/beam-forming sonars, the development of broad-band “chirp” multibeam sonars, and perhaps synthetic aperture multibeam sonars. The inability to monitor the fine-scale spatial and temporal variability of the sound speed structure of the water column is often a limiting factor in the production of accurate maps of the seafloor; improvements in this area will involve continuous monitoring devices as well as improved ocean models and perhaps tomography. Remotely Operated Vehicles (ROV’s) and particularly Autonomous Underwater Vehicles (AUV’s) will become more important as platforms for seafloor mapping systems. There will also be great changes in the products produced from seafloor mapping and the processing necessary to create them. New processing algorithms are being developed that take advantage of the density of multibeam sonar data and use statistically robust techniques to “clean” massive data sets very rapidly. A range of approaches are being explored to use multibeam sonar bathymetry and imagery to extract quantitative information about seafloor properties, including those relevant to fisheries habitat. The density of these data also enable the use of interactive 3-D visualization and exploration tools specifically designed to facilitate the interpretation and analysis of very large, complex, multi-component spatial data sets. If properly georeferenced and treated, these complex data sets can be presented in a natural and intuitive manner that allows the simple integration and fusion of multiple components without compromise to the quantitative aspects of the data and opens up new worlds of interactive exploration to a multitude of users.