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

机译:集成式地面高定位本地定位系统/ INS系统的惯性辅助滑移检测和修复

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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:地面高精度本地定位系统(GH-LPS)是一种地面定位系统,它可以在有限的区域内独立提供高精度,高可靠性和高环境适应性。弥补地面天基导航系统的定位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。为了确保其稳定的性能,有必要检测并修复由于高动态,信号损伤和信号锁定丢失而导致的周跳。因此,本文建立了地面高精度本地定位系统/ INS的集成定位模型,提出了一种利用惯性信息辅助地面高精度本地定位系统进行周跳检测的方法。 。我们使用INS预测的位置信息来计算周期滑移检测决策,并使用假设检验确定是否发生周期滑移,并正确识别发生周期滑移的大小和位置。通过对仿真场景和实测场景的实验分析,验证了所提出算法对周期滑移检测的性能,有效地检测了小周期滑移的发生。针对不同噪声方差的影响,本文提出的周跳检测方法还可以使准确检测周跳的概率保持在86%以上。根据定位结果,检测和修复周跳可将定位精度提高64%。

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