| ID | 原文 | 译文 |
| 14275 | 联合概率数据关联(JPDA)算法在解决多目标跟踪时需要目标准确的动力学模型,动力学模型失配在多机动目标跟踪中时常发生,而作为有效的解决方法之一——强跟踪滤波(STF)是针对无杂波环境下的单机动目标设计的。 | The Joint Probabilistic Data Association ( JPDA) algorithm needs accurate dynamic model of thetarget when solving the problem of multi-target tracking． However the dynamic model mismatch often occursin tracking multiple maneuvering targets． As one of the effective solutions the Strong Tracking Filter ( STF)is designed for a single maneuvering target in an environment without clutter． |
| 14276 | 为了提高杂波环境下多机动目标跟踪精度,提出一种联合概率数据关联强跟踪滤波(JPDA-STF)算法。 | In order to improvethe tracking accuracy of multiple maneuvering targets in clutter environment a Joint Probabilistic DataAssociation and Strong Tracking Filter ( JPDA-STF) algorithm is proposed． |
| 14277 | 该算法为了能够实现各个目标的渐消因子计算,采用对与目标关联的量测进行加权融合的方式获取目标新息协方差,其中,量测权重的计算则是通过JPDA的方式获取。 | In order to obtain the fadingfactor of each target the algorithm uses the weighted fusion of the measurement which is associated with thetarget to obtain the target innovation covariance and the measurement weight is calculated by JPDA． |
| 14278 | 通过各目标渐消因子获取状态预测协方差,随后在卡尔曼滤波框架下即可实现目标状态的更新。 | The state prediction covariance can be obtained through the fading factor and then the target state can beupdated under the Kalman filter framework． |
| 14279 | 实验结果表明,该算法相比于传统的JPDA算法能够更有效地降低跟踪误差。 | The experimental results show that this algorithm has highertracking accuracy than the JPDA |
| 14280 | 针对临近空间拦截弹滑翔段离线弹道优化问题,提出一种满足多约束条件的弹道规划方法。 | A trajectory planning method satisfying multiple constraints is proposed for the off-line trajectoryoptimization in the gliding phase of interceptor projectiles in near space． |
| 14281 | 首先,通过对拦截弹中制导段运动模型的简化得出滑翔段运动模型。 | First the gliding motion model isobtained by simplifying the midcourse guidance motion model of the interceptor． |
| 14282 | 然后,利用庞特里亚金极小值原理推导出满足多约束条件的间接法模型,将弹道优化问题转化为协态变量初值猜测的两点边值问题。 | Then by using Pontryagin'sprinciple of minimum value the indirect method model that satisfies multiple constraints is derived and thetrajectory optimization problem is transformed into a two-point boundary value problem of guessing the initialvalue of co-state variables． |
| 14283 | 采用邻近极值法进行协态变量初值选取,降低了初值猜测的难度和计算量。 | The adjacent extreme value method is used to select the initial value of the costate variable which reduces the difficulty and calculation amount of initial value guessing． |
| 14284 | 仿真结果表明,相较比例导引弹道和高斯伪谱弹道,所提方法弹道可同时满足终端约束条件和多种过程约束条件,且优化结果精度更高,可有效解决离线弹道优化问题。 | The simulation results show that compared with proportional guidance ballistics and Gaussian pseudo-spectral ballisticsthe proposed ballistics can satisfy terminal constraints and multiple process constraints at the same time and the optimization results have higher accuracy which can effectively solve the offline ballistic optimization problem． |