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631.
用改进的"当前"统计模型对机动目标快速跟踪 总被引:2,自引:0,他引:2
当空中目标机动时,如何快速实现对机动目标的自适应跟踪,是雷达情报处理系统中必须解决的问题之一.对多种目标模型进行比较,选用了"当前"统计模型,并对模型进行改进,以达到对机动目标快速跟踪.此算法已在雷达情报指挥自动化系统中得到广泛应用. 相似文献
632.
概述了基于雷达成像的目标类型识别技术。阐述了多层前向网络的分类特性,提出一种网络结构自整定算法来训练网络,并构造分类器,对基于转台成像实验的雷达目标类型识别问题进行了仿真研究。研究结果表明,经结构自整定算法训练后的前馈网络对成像雷达目标具有较好的推广识别能力,识别率达到90%。 相似文献
633.
通过顺解法,利用录取的目标现在点数据,已知的射表数据及对有关偏差量的修正,可求解出斜距离4500m,高低角0°至84°范围内的标准值 相似文献
634.
Tracking maneuvering target in real time autonomously and accurately in an uncertain environment is one of the challenging missions for unmanned aerial vehicles(UAVs).In this paper,aiming to address the control problem of maneuvering target tracking and obstacle avoidance,an online path planning approach for UAV is developed based on deep reinforcement learning.Through end-to-end learning powered by neural networks,the proposed approach can achieve the perception of the environment and continuous motion output control.This proposed approach includes:(1)A deep deterministic policy gradient(DDPG)-based control framework to provide learning and autonomous decision-making capa-bility for UAVs;(2)An improved method named MN-DDPG for introducing a type of mixed noises to assist UAV with exploring stochastic strategies for online optimal planning;and(3)An algorithm of task-decomposition and pre-training for efficient transfer learning to improve the generalization capability of UAV's control model built based on MN-DDPG.The experimental simulation results have verified that the proposed approach can achieve good self-adaptive adjustment of UAV's flight attitude in the tasks of maneuvering target tracking with a significant improvement in generalization capability and training efficiency of UAV tracking controller in uncertain environments. 相似文献
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《防务技术》2020,16(3):737-746
Infrared target intrusion detection has significant applications in the fields of military defence and intelligent warning. In view of the characteristics of intrusion targets as well as inspection difficulties, an infrared target intrusion detection algorithm based on feature fusion and enhancement was proposed. This algorithm combines static target mode analysis and dynamic multi-frame correlation detection to extract infrared target features at different levels. Among them, LBP texture analysis can be used to effectively identify the posterior feature patterns which have been contained in the target library, while motion frame difference method can detect the moving regions of the image, improve the integrity of target regions such as camouflage, sheltering and deformation. In order to integrate the advantages of the two methods, the enhanced convolutional neural network was designed and the feature images obtained by the two methods were fused and enhanced. The enhancement module of the network strengthened and screened the targets, and realized the background suppression of infrared images. Based on the experiments, the effect of the proposed method and the comparison method on the background suppression and detection performance was evaluated, and the results showed that the SCRG and BSF values of the method in this paper had a better performance in multiple data sets, and it’s detection performance was far better than the comparison algorithm. The experiment results indicated that, compared with traditional infrared target detection methods, the proposed method could detect the infrared invasion target more accurately, and suppress the background noise more effectively. 相似文献
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本文采用文献资料法、归纳法,对体育教育与健康教育的关系及实践体育教学"健康第一"指导思想的目标途径进行分析研究,以促进体育教学健康有效开展,更好地适应新世纪人才培养的需要。 相似文献
640.
海军岸基指挥自动化模拟系统中,目标数据录取及数据综合处理是非常重要的两个模块。本文介绍了在该模拟系统中这两个模块的仿真实现。首先简要介绍系统结构组成、信息流程,及目标数据录取和数据综合处理模块的基本功能;并着重介绍其软件流程,实现的关键技术;最后介绍其仿真实现。 相似文献