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Satellite navigation double-frequency cycle slip detection method based on random forest

A technology of cycle slip detection and satellite navigation, which is applied in satellite radio beacon positioning systems, measuring devices, radio wave measurement systems, etc., can solve problems affecting positioning accuracy, failure to detect half cycle slips, and failure to detect cycle slips, etc., to achieve low False alarm rate, high detection rate, improved effect of inherent defects

Pending Publication Date: 2021-02-05
BEIJING INSTITUTE OF TECHNOLOGYGY
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AI Technical Summary

Problems solved by technology

The carrier phase cycle slip is a full-cycle or half-cycle deviation generated by the receiver carrier loop when outputting the carrier phase due to reasons such as the reduction of the carrier-to-noise ratio, which will affect the process of full-cycle ambiguity resolution in high-precision positioning, and ultimately affect positioning accuracy
Modern receivers are generally dual-frequency or multi-frequency receivers, which can detect cycle slips through simultaneous dual-frequency observations. The ionospheric residual method commonly used in practical engineering is a typical representative. Compared with other methods, it It has a strong ability to detect small cycle slips. However, the ionospheric residual method has some inherent defects. For example, it cannot distinguish cycle slip frequency points, cannot detect dual-frequency cycle slips that occur in proportion to the carrier frequency, and cannot detect dual-frequency Simultaneous equal half cycle slips

Method used

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  • Satellite navigation double-frequency cycle slip detection method based on random forest
  • Satellite navigation double-frequency cycle slip detection method based on random forest
  • Satellite navigation double-frequency cycle slip detection method based on random forest

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Embodiment Construction

[0032] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0033] The invention provides a random forest-based satellite navigation dual-frequency cycle-slip detection method.

[0034] The present invention fully combines the single-frequency detection method and the dual-frequency detection method, and constructs the phase-reduced pseudo-range detection amount PML1 including the frequency point 1, the phase-reduced pseudo-range detection amount PML2 of the frequency point 2, the ionospheric residual error detection amount GF, the width Lane phase narrowing lane pseudo-range detection amount MW, carrier phase distance variation residual DPL1 of frequency point 1 in the observation vector, frequency point 2 carrier phase distance variation residual error DPL2 of the observation vector, and DPL1 and DPL2 about Carrier frequency linear combination DDPL cycle slip detection features, and based on the random forest cla...

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Abstract

The invention discloses a satellite navigation double-frequency cycle slip detection method based on a random forest. According to the method, satellite navigation double-frequency pseudorange, carrier phase and Doppler observed quantity are combined to construct cycle slip detection features including three double-frequency features and four single-frequency features, a random forest classification model is used for classification, whether cycle slips occur or not and frequency points of cycle slip occurrence are identified, inherent defects of an ionospheric residual error method are effectively overcome. The cycle slip frequency points can be distinguished, cycle slips generated by double frequencies according to the carrier frequency proportion and equal half cycle slips simultaneouslygenerated by the double frequencies can be detected, detection of the cycle slip frequency points and the specific cycle slip combination is realized, and advantages of the method for high detectionrate and low false alarm rate of small cycle slips are furthest maintained.

Description

technical field [0001] The invention relates to the technical fields of GNSS data processing and machine learning of a global navigation satellite system, in particular to a random forest-based satellite navigation dual-frequency cycle-slip detection method. Background technique [0002] Global Navigation Satellite System (GNSS) is a radio navigation and positioning system that adopts three-stage control, divided into space segment, ground control segment and user segment, and can provide users with positioning, speed measurement and timing services in real time. Satellite navigation technology is ubiquitous and has a wide range of applications in agriculture, transportation, environmental protection, aerospace, exploration, rescue and other fields, and it also bears heavy responsibilities in military warfare. In recent years, many countries and regions are actively building GNSS systems. Among them, the more complete ones are the United States' Global Positioning System (G...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S19/37G01S19/43
CPCG01S19/37G01S19/43
Inventor 李健徐图刘峰罗怡然郝子焕
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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