Real-time glonass phase deviation estimation method based on particle swarm optimization algorithm

A technology of particle swarm optimization and phase deviation, which is applied in the field of satellite positioning system and positioning measurement, and can solve problems such as unavailability of correction parameters

Active Publication Date: 2018-08-14
LIAONING TECHNICAL UNIVERSITY
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Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention proposes a real-time GLONASS phase deviation estimation method based on the particle swarm optimization algorithm to solve the problems caused by the linear correlation between IFB and ambiguity, and improve the accuracy of searching for the IFB change rate. The purpose of avoiding the unavailability of existing IFB change rate correction parameters due to changes in observation conditions

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  • Real-time glonass phase deviation estimation method based on particle swarm optimization algorithm
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  • Real-time glonass phase deviation estimation method based on particle swarm optimization algorithm

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[0087] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings.

[0088] In the embodiment of the present invention, the real-time GLONASS phase deviation estimation method based on the particle swarm optimization algorithm, such as figure 1 shown, including the following steps:

[0089] Step 1: Obtain the GLONASS observation data of the reference station and the mobile station, including GLONASS pseudorange and carrier observation data, and read them epoch by epoch;

[0090] In the embodiment of the present invention, an 8.6km long baseline data is selected, and the baseline uses two different types of receivers for data collection. The two types of receivers are TRIMBLE NETR9 and JPS EGGDT respectively, and the corresponding antennas are TRM57971.00 and AOAD / M_T; baseline data sampling interval is 30s, observation time is 11h20min;

[0091] Step 2. Obtain the approximate coordinates of the base station and the ro...

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Abstract

The invention proposes a real-time GLONASS phase deviation estimation method based on a particle swarm optimization algorithm, which belongs to the technical field of satellite positioning system and positioning measurement. The IFB change rate particles are used to correct all single-difference ambiguity parameters, and the LAMBDA method is used to perform double-difference ambiguity. degree is fixed, the obtained RATIO value is used as the evaluation of the fitness of each particle, and the particle swarm optimization algorithm is used to search for the group optimal position of the IFB change rate particles, and finally the optimal IFB change rate estimate is obtained; Problems caused by linear correlation with ambiguity; real-time online estimation of IFB change rate, avoiding the unavailable phenomenon of existing IFB change rate correction parameters due to changes in observation conditions, suitable for real-time dynamic positioning; using real-time GLONASS phase deviation The estimation method realizes real-time ambiguity fixation and further expands the application field of GLONASS.

Description

technical field [0001] The invention belongs to the technical field of satellite positioning system and positioning measurement, and in particular relates to a real-time GLONASS phase deviation estimation method based on particle swarm optimization algorithm. Background technique [0002] On December 8, 2011, Russia's GLONASS system control center announced that GLONASS has full operational capability. So far, except for GPS, only GLONASS has the ability of global positioning and timing, so many research teams are studying the precise positioning method of GLONASS. GLONASS adopts frequency division multiple access technology. Due to the different frequencies used by the satellites, the uncalibrated phase delays (UPD) of different satellites at the GLONASS receiver end are also different. This difference is called the inter-frequency deviation of the phase observation value at the receiver end. (inter-frequency bias, IFB). Although the UPD at the GLONASS satellite terminal ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/23
CPCG01S19/23
Inventor 隋心徐爱功王春艳郝雨时车丽娜杨东辉王长强郭哲
Owner LIAONING TECHNICAL UNIVERSITY
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