ID 原文 译文
20305 由于模型处理后的数据带有部分奇异值，该文提出了一种改进的中值滤波算法。 Since the model processed data has partial singular values, an improved median filtering algorithm is proposed.
20306 对于陀螺仪零偏噪声问题，提出零偏不稳定性抑制算法，并对该算法模型进行了详细的描述。 For the problem of gyro zero-bias noise, a zero-bias stability suppression algorithm is proposed.
20307 将某项目研究中列车姿态测量系统的实验数据应用到该算法模型中。 In this paper,the algorithm model is described in detail, and the experimental data of the train attitude measurement systemin a project research are applied to the algorithm model.
20308 测试实验分为静态、动态两组，其结果均表明：该算法减小了信号中的噪声，有效地抑制了MEMS陀螺仪随机漂移，提高了姿态解算的精度。 The test experiments are divided into static anddynamic groups. The results show that the algorithm reduces the noise in the signal, suppresses effectively therandom drift of the MEMS gyroscope and improves the accuracy of the attitude calculation.
20309 肯定了该算法对陀螺仪输出信号噪声去除，以及使用精度提升的可行性和有效性。 The feasibility and effectiveness of this method are affirmed to remove the signal noise of the gyroscope output and improve the accuracy of the use.
20310 运动目标速度估计是机载单天线高分辨率合成孔径雷达(SAR)实现运动目标成像和定位的关键环节。 Velocity estimation of moving targets is a key part of ground moving target imaging and positioning in airborne single-antenna high-resolution SAR system.
20311 针对现有方法运算量大、易受距离徙动干扰等缺点，该文提出一种基于回波序列最小二乘拟合的速度估计方法。 In order to solute the defects of traditional algorithms,such as high computation brought by searching and interpolation and low reliability caused by range cellmigration, a novel method based on least square fitting of echo sequence is proposed.
20312 利用该方法，首先通过包络相关提取相邻回波序列的距离变化量，然后对其做最小二乘线性拟合，目标的距离向速度和方位向速度可由拟合系数计算得到。 Range changes between adjacent echo sequences are extracted using envelope correlation, and coefficients of range change equation are obtained by least square linear fitting, from which radial velocity and along-track velocity can be derived.
20313 与传统方法相比，该方法不仅计算量小，而且无须先做距离徙动校正(RCMC)。 Compared with the traditional algorithms, the new method has less computation and can work without RCMC.
20314 该文给出了新方法的数学模型和参数选取原则，分析了该方法的估计精度、计算量和适用条件，并通过仿真和实际数据处理验证了该方法的有效性。 The mathematical model is presented and the principle of parameter selection is provided, and accuracy,computation and applicable conditions of the algorithm are analyzed. The effectiveness of the proposedalgorithm is validated by simulation and real data.