ID 原文 译文
48446 其次利用Laplace变换,求解了方位旋转式平台惯导系统误差; Secondly by using Laplace transform, solving the azimuth rotating platform inertial navigation system error;
48447 然后基于舒拉振荡和平台旋转周期,利用间断获得的外测信息建立系统短时速度、位置误差模型并作不确定度评估;最后采用Kalman滤波对惯性器件误差作了事后估计。 Then spin cycle based on shura oscillation and platform, the use of continuous access to the outer information system short-term speed, the position error model is established and the uncertainty assessment;Finally using Kalman filter to inertial instrument error estimate made afterwards.
48448 仿真结果表明,建立的速度、位置误差模型可信度高,算法可准确估计出东、北向陀螺常值漂移以及加速度计零位偏置,有效抑制导航误差发散,提高导航精度。 Simulation results show that the established credibility, high speed, the position error model algorithm can accurately estimate the east, north to the gyro constant drift and accelerometer zero offset, effectively restrain the navigation error, improve the navigation accuracy.
48449 提出了一种正交指数约束的平滑非负矩阵分解方法,该方法将非负矩阵分解为基矩阵、列归一化平滑矩阵和系数矩阵之积,同时在目标函数中加入了正交指数约束,保证了低维特征的非负性和局部化,减小了分解误差,提高了稀疏性的调节能力。 Proposed a constrained orthogonal index smooth nonnegative matrix decomposition method, this method will be nonnegative matrix decomposition based matrix, column normalized smoothing matrix and the products of the coefficient matrix, at the same time to join the orthogonal index constraints in the objective function, to ensure the low-dimensional features of negative and localization, reduces the error and improve the regulation of the sparse sexual ability.
48450 将该方法应用于数据降维、特征稀疏性比较、有遮挡人脸识别和视频运动特征提取。 The method was applied to data dimension reduction, the comparison of characteristics of sparse, covered face recognition and video motion feature extraction.
48451 实验结果表明,该方法比同类方法具有更好的性能。 The experimental results show that the proposed method has better performance than comparable method.
48452 为提高武器-目标分配(weapon-target assignment,WTA)模型求解的实时性与精确度,针对人工免疫算法(artificial immune algorithm,AIA)提出了一系列改进措施。 To improve the weapon target assignment (weapon - target the assignment, WTA) model to solve the real-time and accuracy, in view of the artificial immune algorithm (artificial immune algorithm, AIA) put forward a series of improvement measures.
48453 在采用自适应锦标赛选择算子的基础上,引入(1+λ)-选择全局更新技术以提高算法的全局寻优能力,引入Memetic局部更新技术以提高算法的局部搜索能力,采用最优抗体抑制机制减小了AIA陷入局部最优的危险。 Using adaptive tournament selection operator, on the basis of introducing (1 + lambda) - select global update technology to improve the algorithm of global optimization ability, Memetic local update technology is introduced to improve the local search ability of the algorithm, using the optimal antibody inhibition mechanism to reduce the risk of the AIA into local optimum.
48454 仿真实验结果显示,改进的人工免疫算法(improved AIA,IAIA)具有较快的收敛速度及较高的收敛精度,满足WTA问题解算需求。 Simulation experiment results show that the improved artificial immune algorithm (improved AIA, IAIA) has faster convergence speed and higher convergence precision and meet the demand of WTA problem solving.
48455 作为一类重要的对地观测卫星,成像卫星多星组网协同工作可提高处理复杂任务的能力,其中的任务规划属于多时间窗口、多优化目标和多约束条件的组合优化问题。 As a kind of important earth observation satellites, satellite imaging more star network work together can improve the ability to handle complex tasks, one of the mission planning belongs to much time window, multiple optimization objectives and constraint conditions of combinatorial optimization problems.