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1.
吴宗秀  吴超 《海洋工程》2021,39(6):99-110
针对水下航行器在二维信号场中的场源搜索问题,提出了一种基于径向基函数神经网络(radial basis function neural network,简称RBFNN)的在线自主寻源算法。在神经网络中引入全局正则化参数以保证泛化性和稳定性,通过最小化广义交叉验证误差(generalized cross-validation,简称GCV)进行正则化参数的迭代优化,并利用增量式奇异值分解(incremental SVD)对迭代过程进行加速,此外通过基于样本新颖性的资源分配网络算法(resource-allocating network,简称RAN)进行径向基函数的分配,在此基础上使用动量梯度算法进行航行器运动方向的规划。最后,以热泉区硫化氢浓度分布场中的搜索作业为背景,使用该算法与其他研究中的算法进行单峰值信号场的场源搜索模拟计算对比,结果显示该算法对于信号场梯度的估计更加准确,且搜索过程的路径更短。此外在多峰值信号场的寻源模拟中该算法能够以较高的成功率通过局部最大值区域。证明该算法具有良好的拟合、预测性能以及稳定性,并且能在一定程度上避免陷入局部最优解。  相似文献   

2.
Range and bearing estimation using polynomial rooting   总被引:2,自引:0,他引:2  
Simultaneous estimation of the range and bearing of near-field emitters usually involves a multidimensional search. The authors examine an alternative algorithm which involves search in the range direction combined with polynomial rooting, which replaces the search in the azimuth direction. The proposed algorithm requires a smaller amount of computation than algorithms based on two-dimensional search. The performance of the algorithm is evaluated by Monte Carlo simulation, and is compared to the Cramer-Rao bound on the bearing/range estimation errors. Formulas for computing the bound are derived  相似文献   

3.
Opposition-based firefly algorithm for earth slope stability evaluation   总被引:2,自引:1,他引:1  
This paper introduces a new approach of firefly algorithm based on opposition-based learning (OBFA) to enhance the global search ability of the original algorithm. The new algorithm employs opposition based learning concept to generate initial population and also updating agents’ positions. The proposed OBFA is applied for minimization of the factor of safety and search for critical failure surface in slope stability analysis. The numerical experiments demonstrate the effectiveness and robustness of the new algorithm.  相似文献   

4.
一种优化模糊度搜索方法的研究   总被引:1,自引:0,他引:1  
刘立龙  文鸿雁  唐诗华 《海洋测绘》2006,26(1):37-39,53
对于高精度测量和导航,GPS载波相位整周模糊度的快速求解仍然是一个难点,尤其对于单频接收机。提出一种快速求解整周模糊度的方法,其基本思想采用分步求解,首先应用最小二乘模糊去耦调节法(LAMBDA)搜索出来的模糊度作为初始值,然后应用卫星分组方法降低搜索维数,并应用极大似然准则,构造搜索函数,最后应用最优化原理,搜索出最优的模糊度参数,并从三个方面对其进行检验,即RATIO检验,OVT检验,多项式拟合残差检验。为验证该算法,我们用单频GPS接收机进行了实验,利用本文方法在11 S以内正确确定了模糊度,其基线长误差小于3MM,表明该方法不但可以改进模糊度的搜索速度,而且可以进一步提高其可靠性和成功率。该方法可广泛应用于定向及姿态测量。  相似文献   

5.
改进的最短路径搜索A*算法的高效实现   总被引:8,自引:0,他引:8  
在交通领域中,对最短路径搜索问题的效率和应用研究较多,尤其最短路径搜索算法的效率是人们普遍关注的重点。在A 算法的基础上,进一步改进其启发搜索策略,提出了改进的A 算法,极大地减小了算法搜索的规模,提高了算法的效率,实验结果显示了本文提出的搜索策略的合理性和有效性。  相似文献   

6.
The determination of optimal values for three parameters required in the original particle swarm optimization algorithm is very difficult.It is proposed that two new parameters simulating the harmony search strategy can be adopted instead of the three parameters which are required in the original particle swarm optimization algorithm to update the positions of all the particles.The improved particle swarm optimization is used in the location of the critical slip surface of soil slope,and it is found that the improved particle swarm optimization algorithm is insensitive to the two parameters while the original particle swarm optimization algorithm can be sensitive to its three parameters.  相似文献   

7.
In this study, we improve Lévy walk model, and make it suitable for simulating the collective behaviours of humans. Here we show how rescuers find missing persons by collective cooperative search in a natural background. In the search process, the search strategy represents an optimal algorithm which is used to maximize the success rates for finding missing persons. We simulate the rescuer's movement pattern, and find some basic laws governing the rescuer's cooperative search. For example, the probability that each rescuer finds missing persons shows a power law distribution.  相似文献   

8.
在分析传统无人机路径规划方法应用局限的基础上,针对传统A星算法启发函数单一、拐点冗余,以及效率不够高等系列问题,以虚拟城市地理环境为研究背景,通过提出面向起讫节点方位角的A星算法加速优化、启发式搜索中动态加权重构评价函数的A星算法加速优化和顾及Floyd算法插点策略的A星算法路径优化等层次递进的算法优化策略,解决了对A星算法搜索方向的量化约束、搜索权重数值的优化重构及冗余拐点的插点删除等技术问题,实现了改进后的A星算法运行效率的显著提高及最短路径判定准确性的明显提升。  相似文献   

9.
A trajectory-cell based method was proposed for unmanned surface vehicle (USV) motion planning to combine the expression of the dynamic constraints and the discretization of the search space. The dynamic constraints were expressed by the USV trajectories produced by the mathematical model. The search space was performed by the discretization rules with the consideration of the path continuity, the search convenience and the maneuvering simplification. Therefore, the trajectory-cells were the discretized trajectories, which made the search space meet the USV dynamic constraints, and guaranteed the final spliced path continuous. After abstracting the characteristics of those cells, the available waypoints and headings were represented as the search indexes. Finally, a trajectory-cell based path searching strategy was proposed by determining the cost function of the A* algorithm. The results showed that the proposed algorithm can plan a practical motion path for the USV.  相似文献   

10.
合成孔径雷达在海洋环境监测和海洋研究中扮演着越来越重要的角色。受其成像机制的影响,合成孔径雷达图像总是受到斑点噪声的污染。斑点噪声的存在会增大目标识别、跟踪和分类的难度,也会降低雷达信号的信噪比。合成孔径雷达海洋图像具有一些特殊的性质:海洋现象在雷达图像中主要呈现为条带状或斑块状的结构。这些条带状或斑块状的结构呈现出高度的自相似性或信息冗余。非局部平均方法能够衡量图像中不同图像块之间纹理结构的相似性,并利用图像的自相似性对图像进行去噪。但非局部平均去燥方法存在计算量巨大、计算耗时长的缺点,这几乎限制了其实际应用。本文采用一种自适应方法将雷达图像中的像素点区分为纹理区像素点和平坦区像素点。对纹理区像素点,采用较大的相似窗和搜索窗,对平坦区像素点,采用较小的相似窗和搜索窗,从而提高计算速度。进一步,本文基于计算统一设备并行架构(CUDA)技术,利用计算机图形处理器(GPU)对前述算法进行并行加速。与经典非局部平均算法相比,加速后算法的计算效率提高了200倍。  相似文献   

11.
基于密度峰值聚类的中尺度涡轨迹自动追踪方法   总被引:1,自引:1,他引:0  
中尺度涡信息的提取包括涡旋的识别和轨迹追踪,其自动识别与追踪对于基于海量数据的中尺度涡分析十分重要。传统涡旋轨迹自动追踪方法一般需要预先设定搜索半径的阈值,存在一定的主观性。针对传统中尺度涡轨迹追踪方法存在的问题,论文从聚类的角度出发,提出基于密度峰值聚类算法实现对涡旋轨迹的自动追踪,并以南海中尺度涡追踪为例,将基于聚类的追踪算法与传统的相似度追踪算法进行比较分析。结果表明:(1)基于密度峰值聚类算法,可实现对海洋中尺度涡的自动追踪,该算法涡旋追踪准确率优于传统相似度算法;(2)该涡旋追踪算法对资料的完整性依赖度较低,特别是对于存在部分缺损数据的情况仍能较准确追踪;(3)该追踪算法克服了传统涡旋追踪算法需要预先设定搜索半径阈值的问题,自适应性更强。  相似文献   

12.
提出了面向应用的成像光谱数据分类技术,旨在从根本上、全方位地削弱各种不利因素对分类精度的影响。该项技术主要包括利用IEM算法获取更为精确的类别分布信息,采用禁忌搜索算法进行原始特征空间的降维,运用基于混合规则的组合分类器来判断待识样本的类别标签。实验表明,按照该方法进行成像光谱数据的分类处理,可以得到很高精度的分类结果。  相似文献   

13.
A source that emits a constant frequency tone and moves at a constant course and speed can be localized through measurements of the Doppler shifted frequencies (DSF). With five unknowns, namely, the rest frequency and the positions and speeds in the x-y directions, five separate sensors would normally be necessary to give five DSP measurements for instantaneous localization. The equations are nonlinear, and the standard solution is by grid search or iteration. The high dimensionality leads to a large computational requirement. By incorporating DSF rates, a quantity available from frequency line trackers, a one-dimensional grid search solution is possible which requires only three sensors and reduces the computational load. The derivation of the grid search technique is given, together with simulation results. The conclusion is that at high signal-to-noise ratios (SNR), the scheme reaches the three-sensor Cramer-Rao lower bound; at lower SNR's or with increased sensors, the grid search answer is a good initializer for a nonlinear optimization algorithm that gives a maximum likelihood estimate  相似文献   

14.
重物在落水和着底过程中都会产生瞬态声信号,这类信号可被运用于浅水区域水下目标定位。 针对浅水区域目标定位的问题,提出了一种基于小型立体五元基阵的瞬态声源快速被动定位算法。 在分析重物落水信号特征的基础上,选取合适的广义互相关加权函数求得传声器之间的声程差,运用快速最小二乘搜索算法进行声源定位。 结果表明:运用 5 传声器阵列可以同时兼顾定位精度和鲁棒性,且满足实时性要求,该方法可运用于浅水区域瞬态声源定位等领域。  相似文献   

15.
GNSS/声纳定位精度主要取决于GNSS浮标阵列构型和测距精度。优化水面GNSS浮标阵列对提高定位精度和可靠性有重要意义。本文提出了基于高度角约束条件的GNSS浮标阵列优化搜索算法。基于GNSS浮标位于海平面和高度角约束条件,本文提出了优化PDOP算法。我们以5个浮标为例对该算法进行了验证,并且获得了完整解。最后,为了在PDOP最小的解中搜索到最优构型,我们提出了一个用来获取最小GDOP解的搜索算法。算法表明:在区域范围内,区域中心点处GDOP最小与区域PDOP均值最小是等价的。我们用中国南海实测数据阐明了5枚浮标情况下定位图形与定位精度的关系。  相似文献   

16.
三维激光点云配准是点云三维建模的关键问题之一。经典的ICP算法对点云初始位置要求较高且配准效率较低,提出了一种改进的ICP点云配准算法。该算法首先利用主成分分析法实现点云的初始配准,获得较好的点云初始位置,然后在经典ICP算法的基础上,采用k-d tree结构实现加速搜索,并利用方向向量夹角阈值去除错误点对,提高算法的效率。实验表明,本算法流程在保证配准精度的前提下,显著提高了配准效率。  相似文献   

17.
An approach for modelling of multipeaked directional wave spectra is proposed. For model identification, a numerical optimization technique that uses the random linear search algorithm is applied. This technique allows the fitting of spectral models to measured or hindcast data. The HIPOCAS hindcast data for North Atlantic are used for an application study.  相似文献   

18.
A method is described for the estimation of geoacoustic model parameters by the inversion of acoustic field data using a nonlinear optimization procedure based on simulated annealing. The cost function used by the algorithm is the Bartlett matched-field processor (MFP), which related the measured acoustic field with replica fields calculated by the SAFARI fast field program. Model parameters are perturbed randomly, and the algorithm searches the multidimensional parameter space of geoacoustic models to determine the parameter set that optimizes the output of the MFP. Convergence is driven by adaptively guiding the search to regions of the parameter space associated with above-average values of the MFP. The performance of the algorithm is demonstrated for a vertical line array in a shallow water enviornment where the bottom consists of homogeneous elastic solid layers. Simulated data are used to determine the limits on estimation performance due to error in experimental geometry and to noise contamination. The results indicate that reasonable estimates are obtained for moderate conditions of noise and uncertainty in experimental geometry  相似文献   

19.
藻种和悬浮物光谱辨别算法研究   总被引:3,自引:1,他引:3  
海洋浮游生物和悬浮泥沙对光都有一定的物理、化学反应,通过纯种藻试验和悬浮泥沙试验可以得到相应的交流谱线,以及浓度与特征参数的关系,本文提出一种辨别算法,并进行了相关的推理、探讨.  相似文献   

20.
基于蚁群算法深海采矿机器人工作路径规划   总被引:1,自引:0,他引:1  
针对深海采矿机器人路径规划问题,提出一种适合于采矿作业的改进蚁群算法。该算法利用位图法建立环境模型,依据构型空间的思想将路径规划问题简化为质点运动问题;利用改进的蚁群算法对问题进行描述,蚁群搜索中采用邻居搜索原则和中线偏移策略。最后通过仿真实验表明,该算法精度高,在海底环境中,能够完成机器人采矿作业的要求。  相似文献   

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