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针对地球紫外中心指向高精度提取问题,提出一种基于梯度统计的快速、低存储需求的紫外地平圆盘中心提取算法。首先,考虑到星载计算机与高内存消耗的滤波算法、实时导航需求的冲突,采用结合Sobel边缘算子与局部二值模式(LBP)算子的改进边缘快速提取方法,有效剔除背景噪声并准确提取地球紫外临边特征。然后对非完整临边边缘采用最小二乘拟合得到中心的精确位置。实验结果表明,该方法抗噪声,可实现亚像素级地球中心提取,并显著降低存储需求和计算时间开销。对于1046×746的图像,该算法需要的存储空间仅为1100kByte,运算时间在20ms内,满足自主导航的需求。 相似文献
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《中国航空学报》2021,34(10):210-219
In kinematic navigation and positioning, abnormal observations and kinematic model disturbances are one of the key factors affecting the stability and reliability of positioning performance. Generally, robust adaptive filtering algorithm is used to reduce the influence of them on positioning results. However, it is difficult to accurately identify and separate the influence of abnormal observations and kinematic model disturbances on positioning results, especially in the application of kinematic Precise Point Positioning (PPP). This has always been a key factor limiting the performance of conventional robust adaptive filtering algorithms. To address this problem, this paper proposes a two-step robust adaptive filtering algorithm, which includes two filtering steps: without considering the kinematic model information, the first step of filtering only detects the abnormal observations. Based on the filtering results of the first step, the second step makes further detection on the kinematic model disturbances and conducts adaptive processing. Theoretical analysis and experiment results indicate that the two-step robust adaptive filtering algorithm can further enhance the robustness of the filtering against the influence of abnormal observations and kinematic model disturbances on the positioning results. Ultimately, improvement of the stability and reliability of kinematic PPP is significant. 相似文献
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高分辨率多径时延测量算法 总被引:1,自引:1,他引:0
提出一种基于最小二乘准则的高分辨率多径信号时延测量方法。对参考信号作三阶样条插值获得每条多径信号最小二乘意义的最优估计,用每条多径信号的测量值重构接收信号,通过反复迭代使重构信号是接收信号最小二乘意义的最优估计,实现多径信号的时延测量。仿真结果表明:新算法在低信噪比、窄带信号条件下仍能获得较高的时延测量精度,性能优于MUSIC类时差测量算法。 相似文献
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分析了工业铂、铜热电阻电阻-温度特性,以工业铂电阻温度传感器为例,给出了一种提高热电阻测温准确度的方法。通过对工业铂电阻进行多点测试,利用最小二乘法对测得数据进行拟合,得出新的电阻-温度转换公式和分度表。通过试验数据的比较表明,使用该方法可以提高传感器的测温准确性。 相似文献
36.
M.A. Sharifi E. Forootan M. Nikkhoo J.L. Awange M. Najafi-Alamdari 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2013
The Caspian Sea has displayed considerable fluctuations in its water level during the past century. Knowledge of such fluctuation is vital for understanding the local hydrological cycles, climate of the region, and construction activities within the sea and along its shorelines. This study established a point-wise satellite altimetry approach to monitor the fluctuations of the Caspian Sea using a complete dataset of TOPEX/Poseidon for the period 1993 to the middle of 2002, and its follow-on Jason-1 for the period 2002 to August 2009. Therefore, 280 virtual time-series were constructed to monitor the fluctuations. The least squares spectral analysis (LSSA) method is, then employed to find the most significant frequencies of the time-series, while the statistical method of principle component analysis (PCA) is applied to extract the dominant variability of level variations. The study also used the observations of TOPEX/Poseidon and Jason-1 over the Volga River along with 5 years of Volga’s water discharge to study its influence on the Caspian Sea level changes. The LSSA results indicate that the lunar semidiurnal (M2) and the Sun semidiurnal (S2) frequencies are the main tidal frequencies of the Caspian Sea with the mean amplitude of 4.2 and 2.8 cm, respectively. A statistically significant long-term frequency (12.5-years period) is also found from altimetry and tide gauge observations. A phase lag, related to the inter-annual frequencies of the Volga River was detected from the point-wise time-series showing level propagation from the northwest to the southeast of the sea. The cross-correlation between the power spectrum of Volga and that of the northern-most, middle, and southern-most points within the Caspian Sea were respectively 0.63, 0.51 and 0.4 of zero-lag correlation, corroborating the influence of the Volga River. The result of PCA also shows that different parts of the Caspian Sea exhibit different amplitudes of level variations, indicating that the point-wise approach, when employing all available satellite measurements could be a suitable method for a preliminary monitoring of this inland water resource as it gives accurate local fluctuations. 相似文献
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针对导航星座自主导航系统的重要组成部分———自主守时系统,提出了一种简便易行的新算法:根据星间测距数据,采用条件平差进行自主守时计算;并且介绍了此方法基本原理和实现思路。自主守时仿真计算表明,此方法守时同步误差不累积,距离测量误差0.1m时,时间同步误差均方根小于0.4m。 相似文献
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