ACCOUNT FOR CONSTRAINTS IN ESTIMATING PRECISE PONT POSITIONING ERROR UNDER STOCHASTIC UNCERTAINTY

机译：在随机不确定性下估计精确的Pont定位误差的约束

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The paper formulates the problem and describes the algorithm for estimating the signal in piecewise-polynomial form with account for constraints on the signal and its derivative under stochastic uncertainty of the signal dynamics model. The estimator is tested on real data obtained on a stationary foundation using GLONASS/GPS equipment. Integrating PPP and differential solutions and using constraints provides better positioning accuracy as compared with the algorithm not allowing for constraints.

机译：该纸张制定了该问题，并描述了用于在信号动力学模型的随机不确定性下对信号和其导数的分段 - 多项式形式估计信号的算法。使用Glonass / GPS设备在固定基础上获得的实际数据测试估算器。与不允许约束的算法相比，集成PPP和差分解决方案并使用约束提供更好的定位精度。

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《Saint Petersburg International Conference on Integrated Navigation Systems》|2017年|476 p.|共3页
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作者
O. V. Zaitsev;
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中图分类导航设备、水声设备;
关键词
stochastic uncertainty; estimation; constraints on the studied process; integration; Kalman filter; piecewise-polynomial presentation;

机译：随机不确定性;估计;对研究过程的限制;集成;卡尔曼滤波器;分段 - 多项式介绍;

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ACCOUNT FOR CONSTRAINTS IN ESTIMATING PRECISE PONT POSITIONING ERROR UNDER STOCHASTIC UNCERTAINTY

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