ID 原文 译文
48246 所提出的不可分辨目标CPHD滤波器具有更加精确和稳定的多目标个数和状态估计,但它的计算量要大于不可分辨目标PHD滤波器。 the proposed target indiscernibility CPHD filter has a more precise and stable number of multi-objective and state estimation, but it is much bigger than the amount of calculation of indiscernibility target PHD filter.
48247 卫星之间的高精度自主距离测量是卫星自主相对定位的基础,提出了一种基于半无调制数据的伪噪声(pseudo-random noise,PRN)码高精度星间自主测距方法。 High precision of autonomous distance between satellite measurement is the basis of the satellite autonomous relative positioning, this paper proposes a data based on half without modulation of pseudo noise (pseudo - random noise, PRN) code and high precision autonomous ranging method between star.
48248 首先在无调制数据的同相支路完成信号的捕获、跟踪过程, In-phase branch in the first place in the absence of modulation data complete signal capturing and tracking process,
48249 然后利用同相和正交支路之间的相位关系,在携带数据的正交支路直接完成数据的解调过程, and then use the same phase and the phase relationship between orthogonal branch, carry on the data of orthogonal branch with the demodulation process of data directly,
48250 并借助非等量采样技术以及带通信号采样定理,使得卫星之间的自主相对距离测量精度理论上达到了4.6mm。 and with the aid of the equivalent sampling technology and bandpass sampling theorem, for the autonomous relative distance between satellites, measuring accuracy theoretically reached 4.6 mm.
48251 在信噪比(signal-to-noise ratio,SNR)为-20dB的环境下,仿真实验结果表明测量精度优于2cm。 The SNR (signal - to - noise thewire, SNR) for 20 db environment, the simulation experiment results show that the measurement precision is better than 2 cm.
48252 针对传统多模型机动目标跟踪算法对模型数量的增长会产生组合爆炸和模型竞争现象,降低跟踪系统的性能,提出了一种模型集自适应的变结构多模型算法。 For more than the traditional model of maneuvering target tracking algorithm to the combination explosion in the increase of the number of the model and the model of competition, reduce the performance of tracking system, this paper proposes a model of adaptive variable structure multiple model algorithm.
48253 采用基于Kullback-Liber(K-L)信息因子分析多模型算法中模型集各模型之间的匹配程度, Based on Kullback - Liber (K - L) information factor analysis model in the multiple model algorithm sets the degree of match between each model,
48254 并在此基础上实现对模型集的自适应调节, and on this basis to realize the adaptive adjustment of model set,
48255 同时推导了各时刻模型概率与模型之间的模型转换概率矩阵,从而为变结构多模型算法的实现提供了基础。 the moment model was deduced at the same time probability model transformation between model and probability matrix, thus the realization of the variable structure multiple model algorithm provides the basis.