ID 原文 译文
51107 针对分布式小卫星体制提出联合多普勒解模糊SAR成像算法，实现低方位重频采样下的高分辨宽测绘带SAR成像。 For distributed small satellite system combined doppler fuzzy SAR imaging algorithm, to implement low bearing heavy sampling of surveying and mapping with high resolution wide frequency SAR imaging.
51108 该算法可以有效校正垂直基线，进而解决其对多普勒解模糊性能的影响。 The algorithm can effectively calibrate vertical baseline, and then solve its effect on the properties of doppler solution of fuzzy.
51109 不但校正了垂直基线对应的非空变部分和空变部分，而且结合多普勒解模糊算法校正了残余的垂直基线相位项，从而可以保证多普勒解模糊算法精确实现。 Vertical baseline correction not only not empty change part and an empty part of the corresponding, and the fuzzy algorithm combined with doppler solution vertical baseline correction for the residual phase, in order to ensure the accuracy doppler fuzzy algorithm implementation.
51110 另外，针对算法精度进行详细分析，增强文章的工程应用价值。 In addition, the algorithm precision for detailed analysis, enhance the article value of engineering application.
51111 最后，利用仿真实验数据验证算法的有效性。 At last, the validity of the algorithm is validated with simulation data.
51112 传统定位方法一般是在假设传感器位置信息准确已知的前提下进行的。 The traditional positioning method is usually under the assumption that sensors under the premise of accurate location information is known.
51113 然而在实际情形中，传感器位置信息往往含有随机误差，这些误差会严重影响目标的定位精度。 In practical situations, however, sensor location information often contain random errors, these errors will seriously affect the location accuracy of target.
51114 针对这一问题，提出了一种存在传感器误差情况下的线性校正TOA定位算法。 In order to solve this problem, this paper proposes a case of sensor error exists linear correction TOA positioning algorithm.
51115 首先将非线性TOA定位方程组转化为一组关于目标位置的伪线性方程，利用加权最小二乘估计进行初始求解; First convert nonlinear TOA positioning equations into a set of target location of pseudo linear equation, using the weighted least squares estimation for initial solution;
51116 然后在此基础上把伪线性方程组转化为关于估计偏差的求解问题，进而对初始解进行线性校正。 Then on the basis of the pseudo linear system of equations into to solve the problem about estimate deviation, and linear correction on initial solution.