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拖曳式诱饵干扰下目标和诱饵DOA参数的准确估计是导引头实现目标分选的前提条件。波束内目标和诱饵的存在引起雷达回波混叠和观测耦合,导致常规观测提取与参数测量方法失效。通过挖掘雷达接收回波和、差通道信号条件概率分布协方差所包含的未知参数信息,获得了目标和诱饵DOA估计的解析表达式,针对估计求解中所需相对功率比未知的情况,提出了基于干扰检测、雷达测量与目标跟踪信息辅助循环估计相对功率比的DOA二次联合估计方法。不同干扰条件的仿真实验验证了估计方法的有效性。 相似文献
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针对航程最大的再入问题,研究了高超声速滑翔式再入飞行器的飞行轨迹特性.使用Legendre伪谱法进行轨迹优化,得到最优轨迹.分析了路径约束对轨迹的影响,以及在路径约束下控制量对飞行轨迹的影响.根据控制量的取值规律,提出一种升力系数的分段直线取值模型.数字仿真表明,通过该模型得到的飞行轨迹与最优轨迹类似,且航程相差很小,可以作为一种使航程最大的轨迹控制方法. 相似文献
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Customer acquisition and customer retention are the most important challenges in the increasingly competitive telecommunications industry. Traditional studies of customer switching always assume that customers are homogeneous, and thus that model customer switching behavior follows a Markov formulation. However, this postulation is obviously inappropriate in most instances. Blumen et al. (Cornell Studies of Industrial and Labor Relations, Cornell University Press, Ithaca, NY, 1955) developed the Mover–Stayer (MS) model, a generalization of the Markov chain model, to relax the requirement of homogeneity and allow the presence of heterogeneity with two different types of individuals—“stayers,” who purchase the same kinds of products or services throughout the entire observation period; and “movers,” who look for variety in products or services over time. There are two purpose of this article. First, we extend the MS model to a Double Mover‐Stayer (DMS) model by assuming the existence of three types of individuals in the market: (1) stable and loyal customers, who have stable usage within the same company; (2) instable but loyal customers, whose usage varies within the same company over time; and (3) disloyal customers, who switch from one company to another to seek for new experiences or/and benefits. We also propose an estimation method for the DMS model. Second, we apply the DMS model to telecommunications data and demonstrate how it can be used for pattern identification, hidden knowledge discovery, and decision making. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012 相似文献
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长管水击最大水击压强的解析 总被引:2,自引:0,他引:2
从管道水击微分方程的特征分析入手,提出了水击特征方程的黎曼不变量和网格分析解,建立了管道水击问题的近似解析解,给出了长管水击最大水击压强的计算表达式。通过实际算例对解析解和数值解结果进行了比较。对水击微分方程的重力项也进行了讨论。 相似文献
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基于粗集和最大熵的模式识别方法 总被引:2,自引:1,他引:2
用基于属性约简的粗集理论找出条件属性的最小属性集。对属性间为不确定因果关系的模式,计算在最大熵情况下发生的概率,通过比较概率来进行模式识别,实例分析和结论部分说明这种方法是有效的。 相似文献
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In this paper, we study the on‐line parameter estimation problem for a partially observable system subject to deterioration and random failure. The state of the system evolves according to a continuous time homogeneous Markov process with a finite state space. The system state is not observable, except for the failure state. The information related to the system state is available at discrete times through inspections. A recursive maximum likelihood (RML) algorithm is proposed for the on‐line parameter estimation of the model. The RML algorithm proposed in the paper is considerably faster and easier to apply than other RML algorithms in the literature, because it does not require projection into the constraint domain and calculation of the gradient on the surface of the constraint manifolds. The algorithm is illustrated by an example using real vibration data. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006 相似文献