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Inertial Aided Cycle Slip Detection and Repair for Integrated Ground-Based High-Positioning Local Positioning System /INS System

机译:集成地面高定位局部定位系统/ INS系统的惯性辅助循环滑动检测和修复

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Ground-based High-precision Local Positioning System (GH-LPS) is a ground-based positioning system, it can provide high-precision, high reliability, and high environmental adaptability independently within a limited area. The location services to make up for space-based navigation systems on the ground are limited by many factors. It mainly uses the carrier phase measurement value for positioning. To ensure its stable performance, it is necessary to detect and repair the cycle slip caused by high dynamics, signal impairments, and loss of lock on the signal. Therefore, in this paper, we establish the integration positioning model of Ground-based High-precision Local Positioning System /INS, we propose a method for using the inertial information to assist the Ground-based High-precision Local Positioning System for cycle slip detection. We use the position information predicted by the INS to calculate the cycle slip detection decision, and use the hypothesis test to determine whether the cycle slip occurs and correctly identify the size and position of the occurrence of the cycle slip. The experimental analysis of the simulated and measured scenes validates the performance of the proposed algorithm for cycle slip detection, effectively detects the occurrence of small cycle slip. For the effect of different noise variance, the cycle slip detection method proposed in this paper can also keep the probability of accurate detection of cycle slips above 86%. From the positioning result, detection and repair of cycle slip can improve positioning accuracy by 64%.
机译:基于地面的高精度局部定位系统(GH-LPS)是基于地面定位系统,它可以在有限区域内独立提供高精度,高可靠性和高环境适应性。在地面上弥补基于空间的导航系统的位置服务受到许多因素的限制。它主要使用载波相位测量值进行定位。为确保其稳定的性能,有必要检测和修复由高动态,信号损伤和信号锁丢失引起的循环滑移。因此,在本文中,我们建立了基于地面高精度局部定位系统/ INS的集成定位模型,我们提出了一种使用惯性信息来帮助地基高精度局部定位系统进行循环滑动检测的方法。我们使用INS预测的位置信息来计算循环滑动检测决定,并使用假设测试来确定循环滑移是否发生并正确识别循环滑动的发生的尺寸和位置。模拟和测量场景的实验分析验证了循环滑动检测算法的性能,有效地检测了小循环滑动的发生。对于不同噪声方差的效果,本文提出的循环滑动检测方法还可以保持精确地检测循环滑块的概率高于86%。从定位结果,循环滑动的检测和修复可以将定位精度提高64%。

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