ID 原文 译文
47866 仿真结果表明,所提算法在跟踪具有剧烈动态特性的载体信号时能够显著提高跟踪精度,且跟踪门限信噪比能够降低约3dB。 The simulation results show that the proposed algorithm in tracking with intense dynamic characteristics of the carrier signal can significantly improve the tracking accuracy, and track the threshold SNR can reduce about 3 db.
47867 针对战时抢修资源不满足抢修任务需求时如何进行抢修资源重组决策的问题,首先,通过约束满足问题的方法建立了以总抢修效益最大为目标的抢修资源重组决策数学模型。 For wartime emergency resources do not meet the demand of emergency task how to repair resources reorganization of decision-making problem, first of all, is established by using the method of constraint satisfaction problem with the objective of maximizing the total repair efficiency of emergency resources reorganization decision-making mathematical model.
47868 然后,设计了一种结合基于总消耗率贪婪算法和粒子群算法的混合粒子群算法及相应的操作方案。 Then, we design a combined with greedy algorithm and particle swarm optimization (pso) algorithm based on total consumption of hybrid particle swarm optimization (pso) algorithm and the corresponding solutions.
47869 最后,进行了仿真实验,结果表明了该方法解决抢修资源重组决策问题的有效性。 Finally, the simulation experiment, the result shows that the method to solve the problem of emergency resources reorganization decision-making effectiveness.
47870 为利用多机实现对目标的快速高精度无源跟踪,提出了一种新的迭代无味卡尔曼滤波(unscented Kalman filter,UKF)算法。 For using machine realize the rapid and high precision of target passive tracking, this paper proposes a new iteration unscented Kalman filter (unscented Kalman filter, UKF) algorithm.
47871 所提算法利用随机变量的概率密度函数变换,求得了直接关于目标状态的似然函数,并据此利用最大似然估计迭代求解当前时刻的目标状态,推导了能达到最大似然面的迭代求解准则,将该准则与UKF算法结合得到新的迭代UKF算法。 Proposed algorithm of random variable of probability density function transform, obtained the likelihood function about the state of the target directly, and using the maximum likelihood estimates iteration to solve the current moment of target state, to achieve maximum likelihood was deduced the iteration criterion, the criterion and the UKF algorithm combining with new iterative UKF algorithm.
47872 以多机只测角跟踪为例,对所提算法的性能进行仿真分析,仿真结果表明,相对于已有的迭代UKF算法,所提算法具有更好的跟踪性能,实用性强。 In multimachine only Angle tracking, for example, the simulation analysis on the performance of the proposed algorithm, the simulation results show that compared with the existing iterative UKF algorithm, the proposed algorithm has better tracking performance, and strong practicability.
47873 针对目标辐射信号未知时的时延差估计问题,提出一种基于频率方差加权的时延差估计方法。 Target radiation problem of time delay estimation of unknown signal, puts forward a kind of time delay estimation method based on weighted frequency variance.
47874 所提方法利用非真值时延差对应频率单元随机、真值时延差对应频率单元稳定的特点,对所有时延差进行频率方差加权统计,突出目标辐射信号频率单元的时延差估计结果。 Proposed method using the true value of time delay differential frequency random, true time delay differential frequency units and stable characteristics, for all of the time delay difference frequency weighted variance statistics, highlight the target radiation signal frequency unit of time delay estimation results.
47875 理论分析和仿真结果表明,相比常规互相关法,所提方法具有较好的鲁棒性,为弱信号时延差估计提供了一个参考思路。 Theoretical analysis and simulation results show that compared with the conventional cross-correlation method, the proposed method has good robustness, for weak signal time delay estimation provides a reference.