浅海聚焦定位中简化地声模型的应用研究

为了提高定位算法的环境宽容性,聚焦法将环境参数纳入了寻优空间。聚焦法虽然降低了对环境测量的要求,但是反演参数的增加也增加了反演的复杂性。基于海底反射特性,用两个参数对海底进行建模。通过标准的反演测试问题对简化地声模型在浅海聚焦定位中的有效性进行了分析。结果表明:基于简化地声模型的聚焦定位是可行的。在获得正确定位结果的同时,随着地声参数个数的减少,匹配场处理的便捷性得到了提高。文中引入的简化地声模型是聚焦问题中参数最少的地声模型,它可以有效减少聚焦定位参数维数以提升反演的便捷性。同时,简化地声模型在参数敏感性和耦合性上有较好的表现,这些优点可以保证定位结果的稳健性。     

测量海底声学参数的匹配场反演方法

在测量海底声学参数的实际海洋环境中，声源和接收位置的距离这两个参数常常无法准确测量，在这种情况下，需要采用匹配场反演方法来估计海底的声学参数。一般情况下，匹配场反演方法可以归纳为2个组成部分，即海洋声场的声学预报模型和搜索控制策略。文中采用受控制的穷举方法作为搜索控制策略，对1996年中美远黄海试验的实验数据进行了匹配场反演试验，用以测定海底参数，由此得到的海底声学参数与实验中测量的声场衰减进行对比，一致性很好。     

海洋生态系统模型中参数空间变化的伴随法反演研究

以气候耦合模式FOAM(Fast Ocean-Atmosphere Model)的气候态为背景场,基于参数的空间分布,定量地研究通过伴随同化方法反演空间变化的参数的能力,探讨影响反演结果的主要因素。通过孪生数值实验同化浮游植物资料,发现在单独反演1个空间变化的参数时,两种给定的参数空间变化都可以被很好地反演出来,参数的平均相对误差在4%以内,说明通过伴随同化方法可以有效地反演出空间变化的参数;而当同时反演作为控制变量的五个参数时,各参数变化趋势的搭配对反演结果影响很大,只有当这种搭配与模型中影响浮游植物生物量变化的生态机制一致时,5个参数才能较准确地得到反演。同化含有10%随机误差的观测数据对反演结果的影响不大,进一步说明了利用伴随同化方法反演参数空间变化的有效性。     

基于同步风场的机载SAR海浪参数反演方法

针对机载合成孔径雷达(SAR)对海探测特点,采用多入射角法从SAR数据本身得到与海浪参数反演区域时空匹配的同步海面风速和风向,并结合线性变换关系,计算得到海浪初猜谱对应的仿真SAR图像谱,将仿真SAR图像谱和观测SAR图像谱输入代价函数中进行迭代运算,通过非线性方程的解算得到最适海浪谱;采用交叉谱法去除海浪传播180°方向模糊,最终得到海浪参数。论文提出的基于同步风场的机载SAR海浪参数反演方法,充分利用了机载SAR海洋环境探测的优势,解决了传统SAR海浪参数反演中初猜谱构造依赖外部风场的问题,机载同步飞行试验的海浪参数反演结果与浮标观测值的有效波高、波向的均方根误差分别为0.23 m和13.23°,验证了该方法的有效性,可为机载SAR海浪参数反演业务化提供支持。     

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。     

基于Sobol法的海底反向散射模型参数敏感度分析

为了对海底声学参数反演中的估计精度做出预估,合理解释反演结果,本文基于Jackson海底声散射模型,利用Sobol算法,对该模型中的耗散系数、速度比等7个参数进行定量的敏感度分析。Sobol算法可以给出参数的一阶敏感度和参数间相互作用的敏感度,适用于分析散射强度的影响因子。仿真结果表明,所选择的声波频率对于参数的敏感度影响不大,模型各参数交互作用较为强烈,速度比的全局敏感度最大,而耗散系数敏感度很小。将参数划分为地声属性参数、粗糙度参数和非均匀性参数,地声属性参数敏感度最大。模型参数敏感度分析结果对于反演有一定的指导作用。     

海底剖面声阻抗分布声遥测模拟实验研究

本文介绍一种声遥测海底平面层系声阻抗分布的模拟实验结果。实验在油漆厂冷却水池中进行,采用取样平均迭代的反演方法,对三介质层系的遥测结果与实测值较好地接近。     

基于VMD对SAR海洋内波参数的自动反演

经验模态分解(empirical mode decomposition,简称EMD)是反演海洋内波参数的有效方法之一,但由于EMD存在模态混叠等问题,对海洋内波进行参数反演时会产生一定误差。相比较于EMD,变分模态分解(variational mode decomposition,简称VMD)能够有效地抑制模态混叠现象。为了更好地对海洋内波进行参数反演,提出了一种基于VMD对合成孔径雷达(synthetic aperture radar,简称SAR)遥感图像中的内波参数进行自动反演的方法。该方法先对SAR图像进行Canny处理,获取图像中的内波条纹信息,再根据内波传播方向自动选取灰度剖面;然后利用集合经验模态分解(ensemble empirical mode decomposition,简称EEMD)信号特征自适应分解模态函数的特点,再将分解得到的有效模态数作为VMD中参数K的参考值;最后利用VMD分解后的数据进行内波参数反演。试验结果表明:通过对Canny预处理后的条纹信息进行灰度剖面自动选取,解决了人为选取剖面所可能导致的误差;通过对剖面信号进行VMD处理不仅解决了EMD模态混叠的问题,成功地反演出内波的前导波振幅,而且所反演的结果与EEMD反演参数以及实测资料数据吻合得很好。     

由垂直入射脉冲和海底回波反演海底声参数

浅海海底声参数是影响声场传播的重要参量。文中根据信号的相位特性对反演稳定性的影响进行了数值模拟;并于2002年8月在黄海海区进行了海底声参数反演实验。利用垂直入射脉冲和海底回波数据进行海底声参数反演,由于海底回波信号随穿透深度增加而导致回波信号的信噪比降低,为了有效地增加海底声阻抗反演深度,提出平滑分段抽取冲激响应,重建声阻抗剖面的方法。结合Hamilton经验公式,分离海底声速、密度,反演结果与海底采样样本分析值、经验值吻合较好。     

高分辨率全极化SAR水上桥梁参数反演

高分辨率SAR中,桥梁的各次反射回波表现为条带状,这给桥梁参数的反演带来了困难。本文提出了一种适用于高分辨率全极化SAR的水上桥梁参数反演方法。首先,通过极化散射特征区分出桥梁的单次、二次和三次反射回波目标。然后,结合微波反射和折射的原理,分析了高分辨SAR图像中桥梁的各次反射回波成条带状的原因,在此基础上提出了各次回波目标的提取方法和桥梁参数反演方法。最后,利用获取的AIRSAR数据反演了桥梁的上下桥高、桥厚、桥宽、桥长及桥塔高度等参数,通过与实测数据对比,结果表明,本文的方法能较准确地反演桥梁的各项参数,其中桥高误差仅为1.3%,结果也表明了在高分辨率条件下,C和L波段的桥梁参数反演能力相当。     

Acoustic inversion of bottom reflectivity and bottom sound-speedprofile

This paper applies a full-field technique to invert bottom sound profile and bottom reflectivity from simulated acoustic data in a shallow water environment. Bottom sound-speed profile and bottom reflectivity have been traditionally estimated using seismic reflection/refraction techniques when acoustic ray paths and travel time can be identified and measured from the data. However, in shallow water, the many multipaths due to bottom reflection/refraction make such identification and measurement rather difficult. A full-field inversion technique is presented here that uses a broad-band source and a vertical array for bottom sound-speed and reflectivity inversion. The technique is a modified matched field inversion technique referred to as matched beam processing. Matched beam processing uses conventional beamforming processing to transform the field data into the beam domain and correlate that with the replica field also in the beam domain. This allows the analysis to track the acoustic field as a function of incident/reflected angle and minimize contamination or mismatch due to sidelobe leakage     

A method minimizing the correlation properties of a noise field andimproving detection of signals embedded in anisotropic noise

This paper deals with the development of a processing technique that improves the signal-to-noise ratio (SNR) at the single sensor for a received signal that is embedded in a partially correlated noise field. The approach of this study is unique in that the noise is treated as being non-white and partially correlated. The concept of the proposed development is based on the time interval over which the temporal coherence or correlation properties of a noise field are defined. For narrowband signals, the associated temporal coherence period is much longer than the correlation time interval of the anisotropic noise field. Thus, a coherent integration of discontinuous segments of received signals will enhance the SNR at the single sensor by lowering the correlation properties of the associated non-white noise. Reconstruction of the narrow-band signal time series, with improved SNR at the sensor will allow the use of the existing high resolution techniques to be utilized more effectively by lowering their threshold values in order to detect very weak signals. The intention here is to integrate the characteristics of the real anisotropic noise field during the preliminary processing stages of the received signals by an array of sensors. Simulations show that the proposed method can be integrated in the signal processing functionality of sonar and radar systems     

海洋地震资料相位控制处理——东海研究实例

为了满足定量解释的需要,地震资料处理必须是高分辨率、振幅保持和相位控制的.面向海洋地震资料的相位控制处理技术包括利用远场信号进行确定性零相位化、Q补偿、预测反褶积及剩余相位校正等.利用模拟远场信号求取确定性去气泡及零相位化算子.此文基于相位控制处理,讨论了海洋地震资料的相位和极性判别方法,探讨了大于24 ms算子长度的预测反褶积对于保持信号形状的必要性,介绍了东海三维地震资料相位控制流程.     

Interrelations between matched-field processing and airborne MTIradar

In matched field processing (MFP) the spatial characteristics of a dispersive wave field are exploited to estimate certain parameters of the acoustic field, such as source location or characteristics of the acoustic channel including environmental parameters. In airborne MTI (AMTI) radar, interfering echoes (clutter) are Doppler colored due to the platform motion. Optimum clutter suppression requires space-time or space-frequency processing. Some thoughts concerning cross-fertilization between these two areas are put forward. In particular, the idea of space-time MFP is stressed. A processor for space-time power estimation is proposed     

A circular passive synthetic array: an inverse problem approach

Based on the general concept of the inverse acoustic radiation problem, the temporal scanning of a stationary acoustic field along a closed contour is used to simplify the measurement approach for obtaining information on source directionality. The mathematical formulation is derived from a model of the two-dimensional acoustic field. The formulation of the inverse problem is also investigated to establish a methodology for improving the angular resolution of the array processing. The fundamental relationship between the sound sources and the circular passive synthetic array is explored, utilizing existing mathematical methods, in order to develop the processing algorithm. Other subjects of practical interest, such as directional ambiguity, effect of Doppler frequency, interference noise, and processing gain are discussed. It is concluded that the results can be used to establish guidelines for engineering design and deployment of this type of synthetic array, and to further exploit the new array signal processing technique     

Forward Scattering Observation With Partially Coherent Spatial Processing of Vertical Array Signals in Shallow Water

In this paper, we address the problem of detecting an inhomogeneity in shallow water by observing changes in the acoustic field as the inhomogeneity passes between an acoustic source and vertical line array of receivers. A signal processing scheme is developed to detect the perturbed field in the presence of the much stronger primary source signal, and to estimate such parameters as the time when the inhomogeneity crosses the source-receiver path, its velocity, and its size. The effectiveness of incoherent, coherent, and partially coherent spatial processing of the array signals is evaluated using models and data obtained from experiments in a lake. The effect of different bottom types is also considered, and it is shown that partially coherent processing can have a significant advantage depending on the bottom type. Estimates of the minimum input signal-to-noise ratios (SNRs) for which the diffracted signal can be observed are presented.     

The Boomer Sound Source as a Tool for Shallow Water Geophysical Exploration

Technical specifications for small seismic sound sources used in seismic profilers may provide details of the pressure signatures as measured on the primary acoustic axis and in the far field but will rarely provide information regarding off-axis emission or of the form of the signatures in the near field. Since shallow water geophysical mapping is now attracting more attention in research establishments and in the commercial sector, off-axis information could become an important issue. The use of a wide angle seismic configuration on a small scale will demand that directional source information be included in data processing activities if the full potential of the data is to be realised. Direct measurement of the full near and far field characteristics of a source are often not practical, however modelling of the acoustic field may offer a tractable alternative and a means of rapidly generating source functions appropriate for advanced data processing. One such modelling approach reviewed here uses a time domain method to synthesise off-axis signatures using a far field, on-axis reference signature.     

基于LabVIEW的深水网箱鱼群监测系统的信号处理

深水网箱鱼群活动状态的实时监测是开展深水网箱渔业资源可持续发展中急需解决的关键技术。文中介绍了深水网箱鱼群监测系统中基于LabVIEW的数据信号处理方法。该方法采用软件编程技术取代传统的硬件电路设计,实现了深水网箱鱼群监测系统的时间增益补偿、信号相关处理、图像处理和鱼群量估计等功能,海上现场实验证明系统具有较高的抗噪声和混响干扰能力,鱼群回波图像显示简洁、海上操作方便,采用鱼群回波能量积分方法能较好地估计鱼群量大小。     

南海磁异常场分区研究──应用人工神经网络方法

首次提出用人工神经网络理论处理磁测资料，进行磁异常场分区的定量计算方法。并将该方法应用于南海研究。该方法将研究区域划分为若干统计单元，确定各统计单元中的特征变量、选择标准模型，并对BP神经网络进行训练。用学习成功的网络识别、分析整个研究区的磁异常场，从而将南海的磁异常场划分为12个特征区。     

渤海海冰现场监测的数字图像技术及其应用

在渤海冰区油气开发中,海冰给平台结构、油气运输和施工作业带来很大影响.油气作业区海冰参数精确、连续、实时的现场监测对分析油气开发的可靠性、检验海冰数值模式、校正海冰卫星遥感数据具有重要意义.针对渤海油气作业区的海冰运动和分布特性,通过数字图像技术对海冰的厚度、运动速度和密集度三个参数的提取进行了算法开发和软件研制.在2...