基于弧形阵的声呐体目标尺度模拟技术研究

分析并给出水下尺度目标回波的亮点结构模型和基于分裂波束互谱法对目标尺度识别的模型,以及稳态反射亮点与随机散射亮点数字时间序列生成方法。给出了一种在消声水池中布放弧形阵模拟目标尺度的方法,该阵列同步发射经时变投影矩阵加权变换的多亮点时间序列。将该方法应用于实现自导仿真试验系统,仿真试验结果表明该方法能够较好地模拟目标空间尺度,除了能够模拟普通靶标的多亮点延迟重发,还具备模拟包括平滑连续、阶跳及其组合等在内的复杂目标空间方位变化的能力,并能够用于水下航行体制导系统半实物仿真。     

用小波变换进行水下回波边缘特征提取与分类识别

提出一种运用小波变换提取宽带回波信号中的一种暂态特征─边缘特征以进行目标分类识别的方法．文中探讨了宽带回波的边缘与其所对应的目标特性之间的联系，提出运用离散二进小波变换提取出回波的多尺度边缘特征，并在此基础上构造了一个良好的特征空间．对实际采集的四种对应于不同湖底沉积物的宽带回波信号进行特征提取及分类识别，平均正确率可达95％以上．     

基于分数阶傅里叶变换的水下目标宽带回波精确提取

线性调频信号可能将成为水下目标强度宽带测试的一种主要信号形式。本文在分析水中目标回声构成特点的基础上,探讨了一种滤除界面反射精确提取目标回波的方法。利用线性调频信号在一定分数阶傅立叶域呈现高度聚集的特性,将线性调频信号作为收发合置换能器的发射信号,在适当的分数阶傅立叶域中,目标回波和界面反射波如果表现为两个可分离的谱峰,就可以用窄带滤波的方法去除界面反射。本文给出了算法仿真及水池试验结果,即使对于和线性调频回波相距很近的界面反射,仍然可以有效去除,精确提取出目标回波。     

基于亮点模型的典型水下目标回波信号仿真

本文对典型水下目标回波信号进行了仿真研究。此仿真基于声纳目标回波的亮点模型理论,通过成分及时序分析,针对具有球冠形头部和圆柱壳体的典型水下目标的结构特征,建立计算模型并仿真回波信号。仿真结果与湖海试实验结果的对比表明此仿真模型与实际情况基本一致,可以为声纳信号处理、目标识别等方面的研究提供支持。     

基于DFT插值的线性约束最小方差宽带自适应阵列

本文提出一种具有频率不变波束图的线性约束最小方差宽带自适应算法。首先给出了具有频率不变波束图的连续线阵的灵敏度函数与离散线列阵加权系数之间的关系，然后给出了使用DFT插值法求解各子带阵列权系数的方法，最后将DFT插值法应用于线性约束最小方差宽带自适应阵列。理论分析及仿真结果表明，该算法可以在实现最小方差波束形成的同时保持波束图基本不随频率变化，且该方法可以降低宽带自适应阵列的运算量。     

基于矢量线阵的目标低频线谱提取方法

主动声呐系统常采用线性调频信号探测水下目标。利用分数阶傅里叶变换处理线性调频回波时,可在低信噪比和强混响背景下获得目标参数的有效估计。主动声呐系统常通过增大发射信号的时间带宽积来提升系统的距离分辨力和速度分辨力,但却带来了计算复杂度的显著增加,尤其是奈奎斯特采样下基于分数阶傅里叶变换的回波处理方法,导致数据处理时间难以满足功耗和体积受限的无人水下航行器平台的实时性要求。针对此问题,该文提出分数阶傅里叶变换的带通采样实现方法,通过对线性调频信号时频特性直线在分数阶域的投影进行修正,使利用分数阶傅里叶变换方法处理带通采样的回波数据时,可获得正确的目标参数估计。计算机仿真数据和无人水下航行器湖试数据处理结果验证了分数阶傅里叶变换的带通采样实现方法的正确性,数据处理时间能够满足无人水下航行器平台处理的实时性要求。     

磁偶极子阵列模型的适用性研究与优化分析

随着我国水下探测、通信技术的发展,传统的磁性测量模型已无法满足高精度、高效率建模的需要.本文从舰船磁场积分模型出发,综合分析模型离散化为磁偶极子阵列模型产生的复化中矩形,以及Gauss-Legendre积分余项分析过程引起的离散误差、算法误差,模型简化产生的拟合误差、模型误差等,对模型适用性条件进行分析;同时,以建模精度和计算复杂度为目标构造多目标优化函数,通过NSGA-Ⅱ算法对多目标函数进行求解,得到使精度、复杂度较为均衡的最优解集,提出了不同精度、复杂度需求下的选择规则.为了保证结果的有效性,在舰船磁场混合模型的基础上利用数值实验对模型进行验证,充分考虑模型拟合误差,通过对磁性均匀、磁性不均匀潜艇的仿真分析得到模型达到适用范围时距离与磁偶极子数目的相关关系;在保证模型适用的条件下,基于NSGA-Ⅱ算法的多目标优化过程所得结果运算效率、精度高,具有很好的工程应用价值.     

水下无源声呐目标听觉域张量特征提取方法

特征提取是水下无源声呐目标分类识别的关键步骤,提出了一种基于听觉Patterson-Holdsworth耳蜗模型的听觉域张量特征提取方法。将耳蜗模型的滤波器冲激响应视为信号分解的基函数,根据听觉模型非线性尺度或常规线性尺度确定不同通道的中心频率,然后计算出相应通道的增益和带宽,并量化冲激响应的阶数和相位参数,得到信号分解基,再根据信号分解原理得到通道数×阶数×相位数的三阶张量特征,并通过计算测试样本张量特征与训练样本张量特征间的相似性实现了水下无源声呐目标的分类识别。海上实录无源声呐目标的分类识别实验表明,提取的张量特征具有比较好的分类识别性能,听觉模型等效矩形带宽尺度优于线性尺度划分中心频率,能够提高无源声呐的目标指示能力。      

水下连续波有源探测的回波检测算法

研究线性调频连续波在水下探测中的信号模型、回波信号的检测和目标参数估计方法,通过分析回波信号与发射信号间的差拍信号,提出差拍-分数阶傅里叶变换结构的处理算法。为了减少分数阶傅里叶变换二维搜索时的计算量,首先使用Radon-Ambiguity变换估计差拍信号的调频斜率,再做相应阶次的分数阶傅里叶变换。数值仿真说明提出的算法能够有效消除线性调频连续波的距离-速度耦合现象,准确估计目标参数。通过湖上试验比较线性调频脉冲信号和线性调频连续波的处理增益,提出的算法处理的连续波比匹配滤波方法处理的脉冲信号处理增益大13 dB。研究结果表明该算法在连续波水下探测中可行有效,不仅能够准确估计目标参数,还具有良好的检测性能。      

水下宽带源方位估计的克拉美-罗界研究

推导了水下宽带源方位估计的克拉美-罗界(CRB)解析式。它揭示了宽带CRB的特点和影响方位估计性能的因素:(1)单源的宽带CRB可分为两部分:与阵列相关的部分包括阵列结构、目标方位及基阵参考点等因素;与信号相关的部分包括信号频率二阶矩及信噪比等。(2)相互独立的两个目标源,每个源的CRB与单源时相应目标源得到的结果相等。(3)两个相关源之间的夹角大于一个波束宽度时,每个源的CRB与单源结果也很接近。(4)由于信源数估计错误,单源误以为是双源,将使CRB值趋于无穷大。仿真结果验证了理论分析的正确性。因此,宽带CRB除给出宽带方位估计算法的最佳估计性能外,还能从方位估计的角度,为宽带阵列及信号波形设计等提供有益的指导。      

浅海非均匀水平阵宽带声场信号无源孔径扩展

大孔径水平阵对于浅海低频水声物理实验研究和应用至关重要,然而受实际情况制约,通常使用的水平基阵孔径十分有限,通过孔径扩展处理来扩展基阵孔径是一条重要途径。传统的无源孔径扩展方法是建立在均匀线阵、匀速相对运动和相干窄带连续信号的基础上的,难以适用于非均匀阵以及非连续宽带声源的情况。针对这些问题,提出了非均匀阵宽带声场信号的无源孔径扩展方法。使用静止布设在海底的非均匀水平短阵接收运动声源重复发射的宽带声信号,先开展均匀空间插值,然后在阵元域和波束域进行宽带扩展孔径处理。仿真和实验结果表明,在水深约70 m的浅海波导环境中,纵向间隔27.5 m的2个阵元接收20~200 Hz宽带声场,其空间插值结果与真值的相关系数大于0.99,说明宽带声场插值方法的合理性。在水平非均匀、纵向孔径250 m的短阵接收声场无法分析简正波频散特征的情况下,仿真和实验数据经过宽带无源孔径扩展处理得到孔径大于1 km的均匀线阵的声场,能高分辨区分各阶简正波,证明所提方法是有效的。      

A unified model for reverberation and submerged object scattering in a stratified ocean waveguide

A unified model for reverberation and submerged target scattering in a stratified medium is developed from wave theory. The advantage of the unified approach is that it enables quantitative predictions to be made of the target-echo-to-reverberation ratio in an ocean waveguide. Analytic expressions are derived for both deterministic and stochastic scattering from the seafloor and subseafloor. Asymptotic techniques are used to derive expressions for the scattering of broadband waveforms from distant objects or surfaces. Expressions are then obtained for the scattered field after beamforming with a horizontal line array. The model is applied to problems of active detection in shallow water. Sample calculations for narrow-band signals indicate that the detection of submerged target echoes above diffuse seafloor reverberation is highly dependent upon water column and sediment stratification as well as array aperture, source, receiver, and target locations, in addition to the scattering properties of the target and seafloor. The model is also applied to determine the conditions necessary for echo returns from discrete geomorphologic features of the seafloor and subseafloor to stand prominently above diffuse seafloor reverberation. This has great relevance to the geologic clutter problem encountered by active sonar systems operating in shallow water, as well as to the remote sensing of underwater geomorphology.     

水声信号稀疏重构高分辨角度-多普勒成像

针对傅氏空时二维谱估计分辨率低以及声呐空时采样数据样本数不足给角度-多普勒成像带来困难的问题,提出一种水声信号稀疏重构的高分辨角度-多普勒成像方法和抗混响空时滤波器的稀疏重构方法。该方法在声呐阵列单测量向量的极少观测样本条件下,建立阵列信号的空时稀疏表示模型,应用稀疏表示的匹配追踪算法和基追踪算法重构回波与混响的高分辨角度-多普勒像。并根据运动声呐回波与混响的空时分布规律及声呐待检测距离单元位置的先验信息,沿着混响空时分布脊线设计混响稀疏表示的专用空时导向向量字典,通过重构抗混响空时滤波器来抑制角度-多普勒平面的混响干扰。对运动声呐前视和侧视阵列的计算机仿真结果表明,在混响背景中,该方法采用声呐阵列单测量向量重构了低速运动目标多亮点回波的高分辨角度-多普勒像,频率分辨率突破傅里叶分辨率,角度分辨率突破阵列瑞利限,分辨率明显优于傅氏空时谱估计。      

High-resolution angle-Doppler imaging by sparse recovery of underwater acoustic signals

The low resolution of Fourier two-dimensional spatial temporal spectrum estimation and the insufficient sample size of sonar space time sampling data often caused difficulties in high-resolution space time spectrum estimation. Aiming to solve this problem, we proposed a high-resolution angle-Doppler imaging method and designed an anti-reverberation space time filter based on the sparse recovery of underwater acoustic signals. The proposed imaging method established the spatial temporal sparse representation model of array signal under the condition of few observation samples of single measurement vector(SMV), and reconstructed the high-resolution angle-Doppler profile of echo and reverberation through the matching pursuit(MP) algorithm and basis pursuit(BP) algorithm. By utilizing the space time distribution characteristics of echo and reverberation and the prior information of sonar rangecell under test(RUT), a reverberation dictionary composed of special space time guidance vectors was designed, and was used to reconstruct the reverberation and formed an anti-reverberation space time filter to suppress the reverberation interference of angle-Doppler plane. Computer simulations indicated that, under two conditions of forward and side-view array of moving sonar, the single measurement vector of sonar array was successfully used in the reverberation background to reconstruct the high-resolution angle-Doppler profile of low-speed moving target multi-spot echo. Its frequency resolution had a better performance than the Fourier resolution and the angle resolution broke through the Rayleigh limit of the array, the resolution was obviously superior to the Fourier space time spectrum estimation.     

Measurement of in vivo multi-component T2 relaxation times for brain tissue using multi-slice T2 prep at 1.5 and 3 T

The objective of this study was to implement a clinically relevant multi-slice multi-echo imaging sequence in order to quantify multi-component T2 relaxation times for normal volunteers at both 1.5 and 3 T. Multi-echo data were fitted using a nonnegative least square algorithm. Twelve echo data with nonlinear echo sampling were acquired using a receive-only eight-channel phased array coil and volume head coil for phantoms and normal volunteers, and compared to 32-echo data with linear echo sampling. It was observed that the performance of the 180 degrees refocusing trains was more spatially uniform for the receive-only eight-channel phased array coil than for the head coil, particularly at 3 T. The phantom study showed that the estimated T2 relaxation times were accurate and reproducible for both single- and multi-slice acquisition from a commercial phantom with known T2 relaxation times. Short T2 components (T2 <50 ms) were mainly observed within the white matter for normal volunteers, and the fraction of short T2 water components (i.e., myelin water) was 7-12% of total water. It was observed that the calculated myelin water fraction map from the nonlinearly sampled 12-echo data was comparable with that from the linearly sampled 32-echo data. Quantification of T2 relaxation times from multi-slice images was accomplished with a clinically acceptable scan times (16 min) for normal volunteers by using a nonselective T2 prep imaging sequence. The use of the eight-channel head coil involved more accurate quantification of T2 relaxation times particularly when the number of echoes was limited.     

扩展拖曳阵宽带频域逆波束形成技术研究

为了提高扩展拖曳阵在低信噪比下对目标的探测性能,本文将基于扩展拖曳阵方法的被动合成孔径技术与宽带频域逆波束形成技术进行了结合,形成了一种新的被动合成孔径测向技术,有效地提高了扩展拖曳阵技术的探测性能,改善了传统基于被动合成孔径测向技术在低信噪比下性能急剧下降的问题,在低信噪比下获得了更高的方位分辨率,同时对于多目标及弱目标检测能力也更为优异。计算机仿真和海试数据的处理都证明了这一算法的良好性能。     

利用深海回声多途结构匹配估计目标深度EI北大核心CSCD

提出一种利用深海目标回声多途亮点簇时延和幅度结构匹配估计目标深度的方法。目标回声结构是双程信道传递函数和目标声散射函数的卷积,在深海近海面或近海底条件下表现出回声亮点簇的特性,且亮点簇时延幅度结构与目标深度相关,可用于估计目标深度。建立了在深度-距离网格上利用非线性规划代价函数对目标深度进行匹配估计的方法。分别对簇间时延偏差和海水声速剖面(SVP)偏差对匹配估计的影响进行了仿真分析。一次南海冬季试验结果显示,在水深1 km、距离5~8 km条件下,水下40 m处的目标回声呈现出3个时延间隔约0.3 s的亮点簇结构,将其用于目标深度匹配估计的误差范围在0~65 m。     

Echolocation signals of free-ranging killer whales (Orcinus orca) and modeling of foraging for chinook salmon (Oncorhynchus tshawytscha)

Fish-eating "resident"-type killer whales (Orcinus orca) that frequent the coastal waters off northeastern Vancouver Island, Canada have a strong preference for chinook salmon (Oncorhynchus tshawytscha). The whales in this region often forage along steep cliffs that extend into the water, echolocating their prey. Echolocation signals of resident killer whales were measured with a four-hydrophone symmetrical star array and the signals were simultaneously digitized at a sample rate of 500 kHz using a lunch-box PC. A portable VCR recorded the images from an underwater camera located adjacent to the array center. Only signals emanating from close to the beam axis (1185 total) were chosen for a detailed analysis. Killer whales project very broadband echolocation signals (Q equal 0.9 to 1.4) that tend to have bimodal frequency structure. Ninety-seven percent of the signals had center frequencies between 45 and 80 kHz with bandwidths between 35 and 50 kHz. The peak-to-peak source level of the echolocation signals decreased as a function of the one-way transmission loss to the array. Source levels varied between 195 and 224 dB re: 1 microPa. Using a model of target strength for chinook salmon, the echo levels from the echolocation signals are estimated for different horizontal ranges between a whale and a salmon. At a horizontal range of 100 m, the echo level should exceed an Orcinus hearing threshold at 50 kHz by over 29 dB and should be greater than sea state 4 noise by at least 9 dB. In moderately heavy rain conditions, the detection range will be reduced substantially and the echo level at a horizontal range of 40 m would be close to the level of the rain noise.     

基于双向反射函数的水下激光引信回波仿真方法

针对鱼雷激光近炸引信探测水下近场目标的需求,开展了水下激光引信回波蒙特卡洛仿真方法研究.结合水下激光引信探测特点建立水下目标回波的蒙特卡洛仿真模型.为了提高水中非朗伯目标表面回波仿真的准确度,推导了基于双向反射函数的光子反射方向概率分布,根据概率分布随机抽样光子反射方向.仿真了不同距离和入射角度条件下的水中目标回波信号.仿真结果表明:目标回波幅度随目标距离和入射角度的增大迅速下降,目标距离在6~12m内变化时,信号峰值动态范围为11.5dB;目标距离为8m,激光入射角在0~45°内变化时,信号峰值动态范围为9.2dB.为验证仿真方法的正确性,在水池中进行水中目标蓝绿激光探测实验,实验结果和仿真结果一致.研究成果可为解决传统蒙特卡洛方法在水中非朗伯面目标回波仿真中的适用性问题及水下激光引信优化设计提供参考.     

机载多脉冲激光雷达目标信号模拟器的研究

研究多脉冲激光雷达目标信号模拟器,用以评估回波数字信号处理算法及其实现平台的性能。结合信号能量与波形关系指出由激光雷达方程建立回波信号波形模型是不充分的。对空中目标回波脉冲展宽进行建模及数值仿真,得到不同倾角、目标距离及目标尺寸下的波形展宽时间数据。根据展宽前后能量保持不变的性质,利用高斯脉冲函数特征参数求解建立回波波形数学模型。基于目标距离误差及目标回波噪声统计特性建立回波仿真模型,提出了依信噪比发生回波观测信号的方法。对比两种模拟器的信噪比误差、最小模拟信噪比、连续工作时间等性能指标,总结了新型模拟器的优势。