基于声纳浮标的反潜直升机应召搜潜仿真研究

反潜直升机使用声纳浮标应召搜潜是其搜潜的主要方式之一.在分析声纳浮标应召搜潜特点的基础上,对仿真环境进行假设,并建立声纳浮标应召搜潜蒙特卡洛法模型,通过仿真试验对反潜直升机在一定条件下使用声纳浮标应召搜潜时声纳浮标间隔系数、螺旋系数、浮标数目和搜索阵型进行研究.得出的结论对于制定反潜作战方案具有一定的参考价值.     

综合声纳仿真软件VVA技术应用研究

针对潜艇指控算法研究对综合声纳仿真软件提出的逼真度要求,本研究采用VV&A的技术方法对软件循序进行了校验工作：首先对软件按功能模块进行功能校核;接着依据设备工作流程对声纳仿真模型进行验证;最后构建联机测试系统,输入实测海试数据对输出的仿真误差和海试误差进行统计分析,并在此过程中发现、定位和修改了一些不足之处。验证结果证明仿真软件满足设备各项战技指标要求,且符合实测海试数据特性,能够满足潜艇指控算法研制的需求。     

一种基于模糊竞争网络的主动声纳目标分类器

提出了一种基于模糊竞争网络的主动声纳目标分类器。该分类器结构简单,学习速度快,仅用少量样本进行训练便可获得良好的推广性能．便于实时学习和应用。通过对模式属于各类别的隶属度的分析,可以知道判决的可靠性,具有较好的应用价值。     

探雷声纳背景图像仿真的快速实现

为了真实地模拟海底背景,提出了一种适用于探雷声纳模拟训练的背景图像仿真快速实现方法,该方法将声波照射三维起伏海底掠射角的随机性体现在海底底质的比例系数中,可以逼真地仿真出各种起伏海底的背景图像,仿真计算时间小于探雷声纳最小重复周期,满足了探雷声纳模拟训练的需要。     

自导作用距离影响因素的分析

本文以声纳方程为核心,探讨诸参数对鱼雷自导作用距离的影响,着重分析 SL,GL,DT 以及鱼雷自噪声 NL 与自导作用距离的关系,并且提出了降低鱼雷自噪声的几种途径。     

Research on simultaneous localization and mapping for AUV by an improved method: Variance reduction FastSLAM with simulated annealing

At present, simultaneous localization and mapping (SLAM) for an autonomous underwater vehicle (AUV) is a research hotspot. Aiming at the problem of non-linear model and non-Gaussian noise in AUV motion, an improved method of variance reduction fast simultaneous localization and mapping (FastSLAM) with simulated annealing is proposed to solve the problems of particle degradation, particle depletion and particle loss in traditional FastSLAM, which lead to the reduction of AUV location estimation accuracy. The adaptive exponential fading factor is generated by the anneal function of simulated annealing algorithm to improve the effective particle number and replace resampling. By increasing the weight of small particles and decreasing the weight of large particles, the variance of particle weight can be reduced, the number of effective particles can be increased, and the accuracy of AUV location and feature location estimation can be improved to some extent by retaining more information carried by particles. The experimental results based on trial data show that the proposed simulated annealing variance reduction FastSLAM method avoids particle degradation, maintains the diversity of particles, weakened the degeneracy and improves the accuracy and stability of AUV navigation and localization system.