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

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

Active Publication Date: 2016-12-21
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 co

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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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Embodiment Construction

[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 provides a real-time GLONASS phase deviation estimation method based on a particle swarm optimization algorithm, and belongs to the technical field of a satellite positioning system and positioning measuring technique. The method is characterized by carrying out correction on all single difference ambiguity parameters by utilizing IFB change rate particles; carrying out double-difference ambiguity fixation through an LAMBDA method; serving the obtained RATIO value as evaluated fitness of each particle, and searching the swarm optimum position of the IFB change rate particles through a particle swarm optimization algorithm; and finally, obtaining an optimum IFB change rate estimated value. The method solves the problem caused by IFB and ambiguity linear correlation; estimation is carried out on the IFB change rate online in real time, thereby preventing the phenomenon that existing IFB change rate correction parameters are not available due to observation condition change, and the method is suitable for real-time dynamic positioning; and real-time ambiguity fixation is realized through the real-time GLONASS phase deviation estimation method, and the application field of GLONASS is further expanded.

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, the Russian 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. Deviation (inter-frequency bias, IFB). Although the UPD at the GLONASS satellite terminal can be eliminated by the inter-station difference, the double-difference ambiguity formed betwe...

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Application Information

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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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