ID 原文 译文
50487 该方法先根据信号系统的基带物理结构和信号模型来建立信号相关函数的选择标准， The method according to the baseband signal system first physical structure and signal model to establish the signal correlation function selection criteria,
50488 然后估计出这些相关函数对应的四阶累积量， and then estimate the correlation function corresponds to the fourth order cumulants,
50489 接着把四阶循环累积量跟信道的参数结合起来建立一个循环统计量， then put the fourth-order cyclic cumulants combined with the parameters of the channel to set up a cyclic statistics,
50490 最后把这个循环统计量与检测门限进行比较，实现信号识别。 finally the circulation statistics compared with the detection threshold, realize signal recognition.
50491 计算机模拟仿真表明，该算法能在较低的输入信噪比条件下良好地工作。 Computer simulations show that the proposed algorithm can at low input SNR work well.
50492 为了提高非线性序贯式融合跟踪算法的精度，提出了基于平方根容积卡尔曼滤波器的多传感器序贯式融合跟踪算法。 In order to improve the precision of nonlinear sequential type fusion tracking algorithm, kalman filter is proposed based on square root volume of multi-sensor sequential fusion tracking algorithm.
50493 该算法使用三阶容积数值积分原则计算非线性过程的均值和方差，克服了扩展卡尔曼滤波器存在的滤波精度低及平方根无迹卡尔曼滤波器存在的参数复杂的缺点。 The algorithm using the third order volume numerical integration principle of calculating the mean and variance of nonlinear process, overcome the filtering precision of the extended kalman filter is low and the square root no trace kalman filter parameters of complex faults.
50494 同时，在滤波递归过程中以协方差平方根矩阵代替协方差矩阵，这样确保了滤波算法的数值稳定性，提高了跟踪的精度。 At the same time, in the process of filtering of recursion with covariance matrix instead of the square root of covariance matrix, so that ensure the numerical stability of the filtering algorithm, improves the tracking accuracy.
50495 最后用已知弹道系数的再入段弹道跟踪模型对所提算法的性能进行仿真测试。 With known finally ballistic coefficient of reentry ballistic track model simulation tests on the performance of the proposed algorithm.
50496 仿真结果表明，所提算法具有很好的跟踪性能，是一种有效的非线性序贯式融合跟踪算法。 The simulation results show that the proposed algorithm has good tracking performance, is a kind of effective nonlinear sequential fusion tracking algorithm.