The estimation of the shape of an array using a hidden Markov model

A hidden Markov model (HMM) technique for the estimation of the shape of a towed array is presented. It is assumed that there is a far-field source radiating sound containing possibly weak spectral lines. The technique uses either the Fourier coefficients at a given frequency computed from a single time block or the maximal eigenvector of a sample spectral covariance matrix. The technique is illustrated using several simulations. The results of these simulations indicate that the HMM technique yields shape and bearing estimates more accurate than those provided by a maximum-likelihood array shape estimation technique     

Uncertainty of the sea state parameters resulting from the methods of spectral estimation

The uncertainty of some commonly used spectral wave parameters resulting from the spectral estimation procedure is assessed. It is observed that the methods of spectral estimation produce a significant uncertainty for all parameters examined, but this is of considerable importance only for the peak period, which is one of the most important parameters to model the wave climate.     

Some applications of maximum entropy spectral estimation to ocean waves and linear systems response in waves

In traditional spectral analysis the use of windows is required because the assumption is made that the data outside the sample are zero. A data window is simply equal to unity inside, and zero outside the sample. This is equivalent to the truncation of the autocovariance function beyond some lag after which zeros are added. In Fast Fourier Transform spectral estimation a spectral window with smaller or greater negative side lobes is used. Any use of windows results in a smearing or spectral leakage that limits the spectral resolution. Maximum entropy spectral estimation (MEM) is equivalent to an extrapolation of the autocovariance function being consistent with some model assumptions. The result of the extrapolation is an increased spectral resolution in the frequency domain. In applications of MEM no kind of windows are used. MEM is applied to describe wind wave scalar spectra. The technique can also be used in the plane to estimate directional spectra. Our results show that MEM is a powerful tool for estimation of scalar spectra and simulation of the sea surface. There are also theoretical reasons for assuming that MEM are superior to traditional methods when only short samples are available. Our preliminary results verify this assumption. We propose a data acquisition system based on MEM, and also show that the response of linear systems can be calculated and simulated by MEM.     

Two-Dimensional Spectral Estimation: A Radon Transform Approach

A new technique for two-dimensional (2-D) spectral estimation of a stationary random field (SRF) is investigated in this paper. This is based on the extension of the Radon transform theory to stationary random fields (SRF's), proposed by Jain and Ansari [19]. Using the Radon transform, the 2-D estimation problem is reduced to a set of one-dimensional (1-D) independent problems, which could then be solved using 1-D linear prediction (LP) or by any other high-resolution estimation procedure. This is unlike previous methods which obtain the 2-D power spectral density OPSD) estimate by using 1-D high-resolution techniques in the spirit of a separable estimator [2]. Examples are provided to illustrate the performance of the new technique. Various features of this approach are highlighted.     

On the Spectral Moments of Wind Waves

In order to obtain high order spectral moments, the residual moment , as proposed by De-nis, is presented for approximate estimation of spectral moment Glazman's partial averaging idea isdiscussed. It is pointed out that Glazman's method and definition of non-dimensional spectral moment can not be used to es-timate spectral moments for engineering purposes and that method is not supported by theory and computation. The non-dimensional spectral moment of PM spectrum, which should be expressed as is related to wind speed. The0 - 8th moments of PM spectrum are estimated for wind speeds of 10, 20 and 30 m/s and some discussions are given.     

基于谱分析的GPS浮标测量参数提取方法

介绍采用谱分析原理提取海浪信息的方法。根据GPS浮标测量得到的海浪高度数据,先通过滑动平均的方法分离海浪信息和潮流潮位信息,然后对海浪信息采用AR模型法进行功率谱估计,并对海浪信息进行连续小波变换,对AR模型法功率谱估计结果和小波变换结果进行综合研究,提取海浪特征参数———周期。最后通过一个GPS浮标试验对上述方法进行了验证。     

The determination of confidence limits associated with estimates of the spectral peak frequency

A Monte-Carlo simulation technique is used to evaluate the suitability of proposed techniques for the estimation of the spectral peak frequency. Due to the statistical variability of spectral estimates and the discrete frequency resolution of spectra, the calculated values of peak frequency are stochastic variables. The probability density functions for such estimates are functions of the frequency resolution and the number of degrees of freedom of the spectrum from which they are derived as well as the spectral peakedness. The mean values of all techniques are biased high, indicating the derived values of peak frequency are an overestimate of the true value. The probability density functions do not follow an obvious analytical form. Tabular values are, however, presented to enable the determination of confidence limits for estimates of the peak frequency.     

波谱仪调制功率谱估计算法性能的仿真研究

基于星载波谱仪海浪方向谱探测原理,仿真了不同海况、风速下的海浪波谱仪接收信号,并采用周期图法、Welch法、AR模型法以及最小方差法共4种不同的调制谱估计方法反演出海浪谱,比较各种调制谱估计方法的海浪方向谱反演性能。仿真结果表明:对于一定方位向下的一维海浪谱反演,不同调制谱估计方法反演海浪谱性能优劣没有绝对的顺序。对于二维海浪谱反演,在成长中海浪条件下周期图法反演性能最差,其他3种方法的反演性能没有绝对优劣顺序;对于成熟风浪,最小方差法在积分能量误差、有效波高误差两个指标上的反演性能最好,在主波波向、主波波长误差上,周期图法反演性能最差,其他3种方法没有绝对优劣顺序。在涌浪条件下,AR模型法反演性能优于其他3种方法。在不同海况下,随着波谱仪中心入射角的下降,反演性能会下降。基于这些仿真结果,本文推荐最小方差法作为充分成长海浪的海浪方向谱反演的调制谱估计方法,AR模型法作为涌浪海浪方向谱反演的调制谱估计方法。     

抗冰导管架平台冰激疲劳寿命估计

基于安全寿命设计理论,论述了抗冰平台冰激疲劳寿命估计的方法,给出了谱分析和时间域分析方法的内容和流程,其中疲劳冰荷载和冰疲劳环境模型是冰激疲劳估计的两个关键问题。基于渤海冰情和冰荷载连续多年现场观测数据,初步建立了渤海JZ20-2海域海冰疲劳环境模型和锥体结构冰力谱,并利用谱分析方法,对新建的JZ20-2NW平台进行了详细冰激疲劳估计。此方法对抗冰平台的安全评估与动力分析具有一定的借鉴意义。     

On the possibility of differentiation of natural waters by the data on multiband fluorometry of dissolved organic matter

A submersible eight-channel filter-fluorometer was constructed for the estimation of the variability of the ratio between the integral intensities of several bands of the fluorescence spectrum of dissolved organic agents in natural water excited in specified wavelength intervals. The filter-fluorometer was used to obtain three vertical profiles of the fluorescence intensity at 18 points in Kaliningrad Bay of the Baltic Sea in the spectral bands at 415, 458, and 510 nm emitted simultaneously from the water column excited by the ultraviolet radiation in the interval from 320 to 380 nm. It was shown that a pronounced (tens of times as much) relative (between the spectral bands) variability of the fluorescence allows a number of water conditions to be recognized. The correlations of the multiband fluorometric information with the biohydrochemical and ecological characteristics of the water still require clarification.     

A comparison of sea-state parameters from nautical radar images and buoy data

Nautical radar and scalar buoy measurements of ocean wind generated waves have been analysed to compare the spectral parameters estimated from both sensors. The time series of different sea-state parameters and the differences and ratios of the values obtained from radar and buoy data using different analysis methods are compared. It has been observed that main differences between the sea-state parameters derived by using measurements obtained from both sensors result both from device characteristics and from the method of spectral estimation. In particular, it is shown that the Nyquist frequency has an important effect on the value of the sea-state parameters depending on spectral moments of order higher than zero.     

ROTARY SPECTRAL ESTIMATION AND ITS APPLIED EXAMPLES FOR OCEAN CURRENT VECTOR TIME SERIES

The mathematical background of the rotary spectral estimation of the ocean current vector and the related rotary variates are described briefly in this paper, some achievements in the confidence intervals of the rotary spectral estimator of the vector are summerized. On this basis, the expectation and variance expressions for the autospectral estimator of the rotary spectrum of vector are derived by resorting to some hypotheses and results of the scalar spectral estimator. And then its confidence interval is given. Finally, some computation examples for the rotary spectral estimator of vector are furnished.     

Oceanic incoherent Doppler sonar spectral analysis by conventional and finite-parameter modeling methods

The spectral structure of oceanic incoherent Doppler sonar data is analyzed with Fourier and two finite-parameter modeling methods (Spectral Moment Estimation (SME) and AutoRegressive (AR)). Fourier spectral analysis, applied to long-range segments of echo return data, validates a theoretical point scattering model. It is demonstrated that Fourier spectral techniques, applied to data from incoherent sonar systems, cannot be used to probe oceanic spectral and velocity fields on the scales that frequently are important in oceanographic applications. The finite-parameter methods model the spectral structure on closely spaced range intervals. The SME method calculates the first moment of the Doppler spectrum at each range interval and the AR method provides spectral estimates at these same intervals. Trade-offs in estimating scatterer radial velocity using the various algorithms are considered. It is shown that a frequency-integrated AR technique has velocity estimation performance comparable to the SME method. In addition, the AR technique reveals that several regions of data possess asymmetric spectral structure. The implications of this spectral structure for oceanic velocity estimates are discussed.     

光谱预处理方法对硝酸盐测量模型影响实验研究及软件设计

基于Savitzky-Golay(SG)卷积平滑、正态变量变换(SNV)、一阶导数法、附加散射校正(MSC)和小波去噪(WDS)等信号处理方法,对水中硝酸盐偏最小二乘(PLS)测量模型的影响进行实验研究,采用评估均方差(RMSEE)、预测标准差(RMSEP)、相关系数(R)、预测值与样本浓度值回归关系显著性F检验对预处理效果进行考察。实验结果表明,经SG卷积平滑预处理的PLS模型预测准确性优于其他处理方法。同时编写了该5种光谱预处理方法软件,实现了光谱数据采集与预处理、谱图绘制和光谱保存等功能。     

Four-element CODAR beam forming

An HF radar called the Coastal Ocean Dynamics Applications Radar (CODAR) is presently being used in several forms to measure ocean surface parameters. The original version was developed by the National Oceanic and Atmospheric Administration (NOAA) and utilizes a four-element receive array. The array consists of four equally spaced elements arranged on a circle with a radius of 0.2151 wavelengths (at 25.4 MHz). It was designed to measure ocean currents using a direction-finding technique based on an extension to a simple two-element interferometer. The problem of determining the bearing of a radiating source can be readily shown to be equivalent to that incurred in spectral estimation. In an attempt to improve upon the processing of existing data, modern nonlinear spectral estimation techniques are applied in a beam-forming bearing estimation procedure and compared against several direction-finding algorithms. Enhancement of bearing estimators via analysis of the eigenstructure of a spatial correlation matrix is included. Antenna response patterns are calculated and used to investigate properties of direction-finding algorithms. Simulated data are used for a comparison of direction finding and beam forming. The asymmetrical bias of each method is investigated to determine its effect on the error in estimating the angle of arrival of a radar target.     

波致应力的近似求解及其太平洋特征分析

基于波致应力计算中对海浪谱和波浪增长率公式的敏感性分析,选择适当的波致应力近似求解方法,计算和探讨了太平洋波致应力的时空分布特征。敏感性分析中,选择了4种常用的波浪增长率公式和3种经验解析海浪谱。推导了计算波致应力的单波公式,并将其与JONSWAP谱积分公式和Elfouhaily谱积分公式进行比较,同时使用了由风速和有效波高资料构造的Elfouhaily谱积分公式计算太平洋波致应力。结果表明:Belcher等(1993)的波浪增长率计算公式估算的波致应力与实验数据吻合度较好,同时适用ERA-interim数据;当波龄小于1.2时运用Elfouhaily谱积分公式更合适,当波龄大于1.2时运用单波公式更快速有效;太平洋的波致应力分布与风场之间存在明显的相关性;2009年1月、4月、7月和10月太平洋波致应力的季节性特征分析表明四个季节的西风带波致应力较其他地区都更强盛,而在时间变化上1月和10月为波致应力整体较为强盛的时期。     

On the stability of the moments of the maximum entropy wind wave spectrum

The stability of some current wind wave parameters as a function of high-frequency cut-off and degrees of freedom of the spectrum has been numerically investigated when computed in terms of the moments of the wave energy spectrum.From the Pierson-Moskovitz wave spectrum type, a sea surface profile is simulated and its wave energy spectrum is estimated by the Maximum Entropy Method (MEM). As the degrees of freedom of the MEM spectral estimation are varied, the results show a much better stability of the wave parameters as compared to the classical periodogram and correlogram spectral approaches. The stability of wave parameters as a function of high-frequency cut-off result the same as obtained by the classical techniques.     

基于自扩展深度置信网络的原油油膜绝对厚度反演研究

海上溢油事故危害海洋生态安全、人类健康与经济发展.开展基于遥感技术的海面溢油量的估算研究,对于保护海洋生态环境具有重要意义,而油膜厚度反演是溢油量估算的核心环节.本文通过搭建室外实验场景,模拟真实海面溢油环境,基于现场实测高光谱遥感数据,开展海面溢油厚度反演研究.本文将深度学习与遥感技术融合,提出了基于自扩展深度置信网...