ID 原文 译文
48666 最后对仿真结果进行了分析,结果表明,75%的神经网络预测值分布在±10%误差范围之内,86%的神经网络预测值分布在±20%误差范围之内,验证了预测模型的可靠性和有效性。 Finally, the simulation results are analyzed, and the results show that the neural network predictive value of 75% distribution in the range of error of plus or minus 10%, 86% of the neural network predictive value distribution in the range of error of plus or minus 20%, the reliability of the prediction model and effectiveness.
48667 提出一种在无高精度测试转台的场合下,精确辨识加速度计误差参数的方法。 Put forward a high precision test turntable occasions, accurate identification method of accelerometer error parameters.
48668 所提方法以静态多位置加速度模方为观测量,以重力加速度模方误差的标准方差为指标,利用人工鱼群算法对加速度计误差进行辨识。 Proposed method in a static position acceleration model for the observed quantity, to the standard variance of acceleration of gravity die square error as an index, artificial fish algorithm is used to analyse the accelerometer error identification.
48669 对静态24位置进行仿真分析,在此基础上,对实验室自行研制的光纤捷联惯导系统进行加速度计参数辨识,并进行了24h静态导航试验。 Simulation analysis was carried out on the static 24 position, on this basis, the laboratory to develop the fiber strapdown inertial navigation system for parameter identification of the accelerometer and static navigation test and 24 h.
48670 仿真和试验均表明,所提方法是一种有效的加速度计参数辨识方法,具有一定的工程实用价值。 Simulation and test results show that the proposed method is an effective parameter identification method of accelerometer, have some practical value in engineering.
48671 针对目前两坐标雷达组网系统误差估计忽略了目标高度影响的问题,采用模块化方法,将3部两坐标雷达组网分成平面与空间两个模块进行目标高度与系统误差的联合估计,提高了系统误差估计的精度。 In view of the present two coordinate radar networking system error estimation ignored the influence of target height problem, using modular method, three two coordinate radar network is divided into two modules for plane and space target height and the combination of system error estimation, improve the accuracy of the system error estimation.
48672 首先分析目标高度对系统误差估计的影响,接着详细推导基于极大似然估计法的目标高度与系统误差联合估计模型,并给出估计流程图,最后建立仿真模型对算法进行验证,并和传统方法进行比较。 First analysis the target height on the influence of system error estimation, then deduced in detail based on maximum likelihood estimation method of target height and joint estimation model of error, and the flow chart of estimate and finally establish a simulation model to verify this algorithm, and compares the traditional method.
48673 仿真结果显示,所建立的模型能够精确估计出目标平面位置和高度信息,实现目标的三维准确定位,并且同样能精确估计出传感器系统误差,验证了算法的准确性和有效性。 The simulation results show that the established model can accurately estimate the target plane position and height information, achieve the goal of three-dimensional accurate positioning, and also can accurately estimate the sensor system error, verify the accuracy and effectiveness of the proposed algorithm.
48674 基于低地球轨道和静止地球轨道(low Earth orbit&geo-synchronous Earth orbit,LEO&GEO)双层卫星网络结构,对其覆盖特性和星间链路(inter-satellite-link,ISL)特性进行了仿真分析。 Based on low Earth orbit and static Earth orbit (low Earth orbit&geo - synchronous Earth orbit, LEO&GEO) double satellite network structure, the link between features and star for its coverage (Intel - satellite - link, ISL) features are analyzed in the simulation.
48675 提出了分层分簇的管理方法,只有主簇头与GEO卫星有连接关系,简化了互联关系的复杂性。 The management of hierarchical clustering method is proposed, and only the main cluster heads have connection relationship with GEO satellite, simplifies the complexity of interconnected relations.