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1.
A novel classification algorithm based on abnormal magnetic signals is proposed for ground moving targets which are made of ferromagnetic material. According to the effect of diverse targets on earth's magnetism,the moving targets are detected by a magnetic sensor and classified with a simple computation method. The detection sensor is used for collecting a disturbance signal of earth magnetic field from an undetermined target. An optimum category match pattern of target signature is tested by training some statistical samples and designing a classification machine. Three ordinary targets are researched in the paper. The experimental results show that the algorithm has a low computation cost and a better sorting accuracy. This classification method can be applied to ground reconnaissance and target intrusion detection.  相似文献   

2.
The JTC technology deals with the problem of target tracking and target classification simultaneously within a unified framework. The fundamental idea of the JTC technology is that by taking advantage of the mutual exchange of useful information between the tracker and classifier, significant improvements in performance of both target tracking and target classification can be expected. The principle of JTC technology is introduced. The existing JTC technologies are broadly categorized into two classes, i. e., point-target-motion-model-based JTC and rigid-target-motion-based JTC, which are then compared in detail. The advance of the JTC technology is surveyed with comments on some related litera- tures. Finally, some opening topics of the JTC technology are discussed.  相似文献   

3.
A rough set probabilisfic data association (RS-PDA) algofitlml is proposed for reducing the complexity and time consumption of data association and enhancing the accuracy of tracking results in multi-target tracking appiication. In this new algorithm, the measurenlents lying in the intersection of two or more validation regions are allocated to the conesponding targets through rough set theory, and the multi-target tracking problem is transformed into a single target tracking after the classification of measurenaents lying in the intersection region. Severed typical multi-target tracking applications are given. The simulation results show that the algorithm can not ouly reduce the complexity and time consumption but also enhance the accuracy and stability of the tracking results.  相似文献   

4.
5.
To address a problem of autonomous attitude determination algorithm using gravitational field and geomagnetic field observation, a new recursive optimization autonomous attitude estimation algorithm is proposed. The algorithm is based on unscented Kalman fiher(UKF), and can synchronously provide the attitude rate information. The simulated results show that the measurement precision of the method could be increased by 2 times compared to that of the common methods.  相似文献   

6.
A New Single DIFAR Sonobuoy Target Location Algorithm   总被引:1,自引:0,他引:1  
In order to solve the problem of target location of single direction finding and ranging(DIFAR) sonobuoy, a new target location algorithm is proposed. Based on the new generation of high performance sonobuoy signal processing platform, the new algorithm makes full use of the Doppler information of the targets while using the target location data, and successfully implements the target detection, location and tracking. In the calculation of target parameters, the new algorithm utilizes the repeated measurement data to further improve the calculation accuracy of the target parameters using the principle of Least Square. The simulation results indicate the correctness of the new algorithm. The algorithm is simple, stable and easily implemented in engineering. And besides, it overcomes the weakness of the traditional algorithm which requires at least two DIFAR buoys to locate the targets.  相似文献   

7.
As only a little information can be obtained from torpedo's lake and sea tests, and the torpedo's life does not distribute typically. If conventional methods are used to convert the environment factor for torpedo's lake and sea tests, their results can not reflect the actual conditions. A conversion model of the environment factor for torpedo's lake and sea tests is set up based on the GM(1,2) model of the grey system theory. For the merit of the grey system, the problem of uncertain life distributions and few samples can be solved. The calculation results show that the method is easy, realistic and high precise.  相似文献   

8.
In order to recognize the jamming pattern in anti-jamming, a novel fuzzy jamming recognition method based on statistic parameters of received signal’s power spectral density (PSD) is proposed. It exploits PSD’s shape factor and skewness of received signal as classified characters of jamming pattern. After the mean center and variance of each jamming pattern are calculated by using some jamming samples, an exponential fuzzy membership function is used to calculate the membership value of the recognized sample. Finally, the jamming pattern of received signal is recognized by the maximum membership principle. The simulation results show that the proposed algorithm can recognize common eight jamming patterns accurately.  相似文献   

9.
There exists MUSIC (multiple signal classification) algorithm for direction of arrival (DOA) estimation. This paper is to present a different MUSIC algorithm for more accurate estimation of low altitude target. The possibility of better performance is analyzed using a void reference sensor (VRS) in MUSIC algorithm. The following two topics are discussed: 1) the time delay formula and VRS-MUSIC algorithm with VRS located on the minus of z-axes; 2) the DOA estimation results of VRS-MUSIC and MUSIC algorithms. The simulation results show VRS-MUSIC algorithm has three advantages compared with MUSIC: 1) When the signal to noise ratio (SNR) is more than - 5 dB, the direction estimation error is 1/2 as much as that obtained by MUSIC; 2) The side lobe is more lower and the stability is better; 3) The size of array that the algorithm requires is smaller.  相似文献   

10.
As weapon system effectiveness is affected by many factors,its evaluation is essentially a multi-criterion decision making problem for its complexity.The evaluation model of the effectiveness is established on the basis of metrics architecture of the effectiveness.The Bayesian network,which is used to evaluate the effectiveness,is established based on the metrics architecture and the evaluation models.For getting the weights of the metrics by Bayesian network,subjective initial values of the weights are given,gradient ascent algorithm is adopted,and the reasonable values of the weights are achieved.And then the effectiveness of every weapon system project is gained.The weapon system,whose effectiveness is relative maximum,is the optimization system.The research result shows that this method can solve the problem of AHP method which evaluation results are not compatible to the practice results and overcome the shortcoming of neural network in multilayer and multi-criterion decision.The method offers a new approach for evaluating the effectiveness.  相似文献   

11.
支持向量机( SVM)在处理分类问题时,纯粹从样本的角度出发,其分类效果取决于训练样本的特性,不考虑待分类问题的当前信息。本文从导弹武器系统的数据交叉现象出发,通过对支持向量机的决策函数增加反映待分类问题当前信息的先验概率项,将Bayes准则融于支持向量机算法中,提高支持向量机的分类效果;给出了算法的推导以及实现步骤。通过导弹武器系统中的两个实例对算法进行验证,新算法比传统支持向量机算法具有更好的分类效果,并且算法的鲁棒性和敏感性都得到提高。  相似文献   

12.
王自营  邱绵浩  安钢  王凯 《兵工学报》2009,30(10):1368-1374
利用支持向量机( SVM)进行机械故障诊断时,分类效果与核函数紧密相关。但核函数的选取一直缺少明确的理论指导,而且由于学习过程中常采取近似计算,致使分类结果远非期望水平。本研究首先利用匀幅、互信息指标构造特征向量;而后基于自适应助推法得到一系列基本SVM;并基于多样性准则对这些基本SVM进行筛选,最后对满足条件的基本SVM加权得到集成SVM。将集成SVM应用到某型坦克柴油机的故障诊断中,性能评价及分类结果表明,集成SVM比单- SVM具有更好的分类性能,故障诊断准确率更高。  相似文献   

13.
杨咪  王安丽  胡正 《兵工自动化》2019,38(12):54-57
摘要:为解决数据链信号识别分类的问题,提出一种基于支持向量机(support vector machine,SVM)决策树的数 据链识别分类方法。通过分析美军常用的数据链通信信号特征,采用小波变换法分析数据链的特征信息,得出小波 系数与信号能量分布的关系,根据SVM 算法原理,构建目标特征模型,对信号特征量进行识别分类,对SVM 分类 器的关键参数进行优化设计,并与BP 神经网络算法进行对比实验仿真。结果表明:SVM 决策树网络分类器在进行 收敛速度和准确率表现优异,能改善分类识别效能。  相似文献   

14.
针对舵机故障样本数量不足、诊断知识不完备的实际情况,提出一种基于支持向量机(support vectormachine,SVM)的故障诊断方法。根据航舵故障输入输出映射非线性的特点,分析SVM的分类机理,对基于SVM的故障诊断步骤进行介绍,解决了小样本模式的分类问题,并通过仿真对该方法的有效性进行验证。仿真结果表明:该方法对舵机故障分类准确性可达92%。  相似文献   

15.
基于粗糙集(RS)的支持向量机(SVM)分类模型用RS预处理原始样本数据,通过属性和对象的约简消除输入样本数据冗余条件和样本,简化样本数据空间维数.预处理后数据作为样本数据训练SVM,其模型采用模糊离散.用C 编程实现仿真,选用RBF核函数训练SVM,仿真证明该分类模型提高训练速度和分类精度.  相似文献   

16.
基于SVM 的导弹自由飞行阶段可靠性评估   总被引:1,自引:0,他引:1       下载免费PDF全文
薛继明  左磊  黄岩  李春 《兵工自动化》2011,30(11):24-28
为更好地评估巡航导弹自由飞行阶段的可靠性,对小样本回归问题进行研究。首先对实验数据进行特征选择与提取得到学习样本,在此基础上利用支持向量机(supportvectormachine,SVM)方法进行可靠性评估研究,然后通过仿真实验对比神经网络与支持向量机2种方法的评估效果。结果证明:SVM的训练学习效率更高,同时能够保证较好的泛化性能,提高自由飞行阶段可靠性的评估效果。  相似文献   

17.
为克服支持向量机和Dempster方法的不足,提出一种基于SVM多分类器的识别结果概率输出方法。以BPA函数的形式输出SVM多分类结果,对Dempster证据合成方法进行了改进:根据证据之间的相似性程度判断是否存在证据;中突,对于证据数目在3条以上且存在冲突的证据组合,引用统计理论中马氏距离的计算公式计算各证据与其余证据组合之间的距离,导出各证据的重要性权系数,由此对证据的BPA函数进行转化,采用Dempster方法对转化后的BPA函数进行合成。然后,将SVM多分类器的BPA输出作为参与融合的各传感器对应的BPA函数,采用改进的证据合成方法进行合成,得到最后识别结果。结果表明,SVM识别方法能降低错误率,其输出形式包含更多信息量。  相似文献   

18.
支持向量机(Support Vector Machines,SVM)故障分类器,在不易取得训练样本的情况下,实现较高准确率的故障诊断,并且具有较强的通用性和实用性。提出三种支持向量多类分类器(一对一算法、一对多算法,以及改进型一对多算法),通过将其应用到实际电路进行故障诊断当中对其性能进行比较,得出串行支持向量机无论在分类速度上还是在分类精度上都好于其它两种方法,核函数的选择对故障诊断的性能也存在着一定的影响。  相似文献   

19.
将支持向量机方法用于某大型液体火箭发动机稳态试车数据的挖掘,建立了多故障分类器,采用23次试车数据对上述挖掘结果进行了测试,将测试结果与人工神经网络方法等所得结果进行了比较.并利用28类仿真稳态故障数据对该方法进行了进一步验证.结果表明,支持向量机方法是一种可基于小样本的、有效的液体火箭发动机故障检测与诊断方法.  相似文献   

20.
隐马尔可夫模型和支持向量机混合模型声识别   总被引:2,自引:0,他引:2  
为弥补单一模型在识别低空飞行目标时的不足,进一步提高低空飞行目标的识别率,提出一种基于HMM和SVM混合结构的低空飞行目标声识别算法.针对战场环境下声信号的特点,算法综合考虑HMM适合处理连续动态信号及SVM小样本情况下的强分类能力,利用HMM处理待辨识的连续动态信号,将HMM易混淆的信号作为与待辨识信号较为相似的模式类,形成候选模式集,再由SVM在候选模式中对待辨识信号作最后决策.实际数据的识别结果表明相对于单一的HMM和SVM,混合模型的识别率有一定的提高.  相似文献   

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