ID	原文	译文
54657	为了提高动基座下车载捷联惯导系统(strapdown inertial navigation system,SINS)的初始对准精度和缩短对准时间,在不进行粗对准的前提下,利用5阶容积卡尔曼滤波(cubature Kalman filter,CKF)完成非线性对准。	In order to improve the dynamic base vehicle strapdown inertial navigation system (strapdown inertial navigation system of SINS) on initial alignment accuracy and shorten the time, on the premise of without coarse alignment, using 5 order volume Kalman filtering (cubature Kalman filter, CKF) to complete the nonlinear alignment.
54658	针对3阶CKF滤波精度不高、5阶高斯厄密特滤波器计算量过大的问题,基于多项式逼近的思想详细推导了5阶球面径向容积规则,继而提出了5阶CKF并分析了该算法的滤波精度、采样量和数值稳定性,利用奇异值分解代替Cholesky分解来增强滤波稳定性。	For 3 order CKF filtering precision is not high, 5 order gaussian Hermitian filter the problem of the large amount of calculation, based on the idea of polynomial approximation of five rules of order spherical radial displacement is deduced in detail, and then put forward five order CKF and analyzes the algorithm of filtering precision, sampling amount and numerical stability, using the singular value decomposition to replace the Cholesky decomposition to enhance stability of filtering.
54659	实验结果表明,该方法能够有效完成大失准角下的非线性对准,精度高于3阶CKF。	The experimental results show that the method can effectively accomplish the nonlinear alignment under large misalignment Angle, precision higher than 3 order CKF.
54660	在通信系统的接收端采用与发送端不同的跳频序列,用户的地址码就是这两个序列组成的序列偶。	In the communication system of receiving end and sending end use different frequency hopping sequence, the user's address code is the sequence of the two sequences.
54661	在以跳频序列偶为地址码的跳频通信系统中,跳频序列偶的自相关函数和互相关函数满足的理论界是判断跳频序列偶和跳频序列偶集好坏的标准。	In frequency hopping sequence accidentally to address code of frequency hopping communication system, frequency hopping sequence accidentally autocorrelation function and cross-correlation function meet the theoretical circle is judging frequency hopping sequence and frequency hopping sequence pair set standards of good or bad.
54662	提出了跳频序列偶和跳频序列偶的汉明相关函数的概念,给出了由跳频序列偶的汉明相关值、频隙个数、序列的长度、序列偶的个数构成的理论界。	Proposes the frequency hopping sequence and frequency hopping sequence accidentally, the concept of hamming correlation function, is given by the frequency hopping sequence occasionally hamming correlation value, frequency gap number, the length of the sequence, the sequence of number theory.
54663	针对认知用户在频谱切换过程中无法实时地获取授权用户到达率与服务率的问题,提出了基于隐式马尔可夫模型的参数估计算法。	Cognitive users against in the process of spectral switch unable to real-time access to authorized users of the arrival rate and the service rate, was proposed based on hidden markov model parameter estimation algorithm is proposed.
54664	首先利用排队论对授权用户队列进行建模与分析,推导出授权用户队列状态转移概率;其次利用能量感知算法检测授权用户队列真实状态,获得可观测序列值;然后利用隐式马尔可夫模型描述两种随机过程,即授权用户队列状态变化随机过程和可观测序列随机过程;最后利用forward-backward算法估计隐式马尔可夫模型,从而获得授权用户到达率与服务率。	First use of queues on authorized user queue for modeling and analysis, authorized users queue state transition probability is deduced;Secondly, authorized users were detected by energy awareness queue true state, obtain an observation sequence value;Then hidden markov model is used to describe two kinds of random process, the authorized user queue status change random process and an observation sequence random process;The forward - backward algorithm is used to estimate the implicit markov model, arrival rate and the service rate for authorized users.
54665	仿真结果表明,该方法能够实现实时的、较为精确的估计,从而实时地为认知用户选择频谱切换策略提供依据。	Simulation results show that the method can achieve real-time and accurate estimation, thus real-time to provide the basis for the cognitive spectrum to switch the user to select strategy.
54666	针对较大规模静态武器目标分配问题中算法实时性差、分配方案不适用于发生变化的战场态势的问题,分析了装甲分队动态武器目标分配问题的特点,以解效用最大为目标函数,提出了一种算法终止控制策略,其综合考虑了解的质量、继续计算改善解质量的效率、模型参数变化的影响。	For large-scale static weapon target assignment problem in algorithm real-time performance, the scheme is not suitable for change of battlefield situation, analyzes the characteristics of armored brigade dynamic weapon target assignment problem, with the goal of maximizing the solution of the utility function, this paper proposes a algorithm to end control strategy, the comprehensive consideration to understand quality, continue to improve the solution quality of efficiency, the influence of model parameters.