Parallelization signal quality evaluation method

A signal quality assessment and signal data technology, applied in the field of satellite navigation signal assessment, can solve the problems of a large number of satellites and a large amount of data, and achieve the effect of improving operation efficiency, meeting real-time performance, and shortening data processing time.

Active Publication Date: 2020-09-04
NAT TIME SERVICE CENT CHINESE ACAD OF SCI
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Problems solved by technology

Problems such as the large number of satellites and the large amount of data have become obstacles to improving the processing speed

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  • Parallelization signal quality evaluation method
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  • Parallelization signal quality evaluation method

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Embodiment Construction

[0051] In order to enable those skilled in the art to better understand that the technical solutions of the present invention can be implemented, the present invention will be further described below in conjunction with specific examples, but the given examples are only used as illustrations of the present invention, not as limitations of the present invention.

[0052] 1. The overall framework of GNSS signal quality assessment

[0053] GNSS signal quality evaluation software mainly processes and analyzes Beidou system B1, B2, B3 frequency point signals, GPS system L1, L2, L5 frequency point signals, Galileo system E1, E5, E6 frequency point signals, GLONASS system G1, G2, G3 frequency point signals Signal, to realize the capture, tracking and signal quality evaluation functions based on radio frequency acquisition data.

[0054] The GNSS software receiver can capture the selected satellites to be tested and track the operation of these satellites. Signal acquisition is one o...

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Abstract

The invention relates to a parallelization signal quality evaluation method. The method comprises multithreading, loop parallelization, vector parallelization and matrix operation; the loop parallelization adopts CUDA stream to realize navigation signal capture and acceleration; during capture processing operation, loops are independent of each other, concurrent execution is carried out by flow, and concurrent operation is managed by a program through flow; an optimal parameter algorithm is searched by adopting hyper-parameter optimization reinforcement learning in the cycle of the outer-layercapture statistics times; a reduction summation algorithm is adopted for vector parallelization and matrix operation; a plurality of branches are started by multithreading to perform parallelizationfor tracking and accelerating an IQ baseband branch, wherein different branches in the CUDA can concurrently execute respective tracking through different threads; in capture, tracking, and IQ baseband branches, for variables that are always unchanged in each cycle, the variables are extracted out of the cycle for individual calculations. The method has the advantages that the operation efficiencyis high, and the requirements of GNSS signal quality evaluation for real-time performance, reliability and high throughput of data processing are met.

Description

technical field [0001] The invention belongs to the technical field of satellite navigation signal evaluation, and in particular relates to a parallelized signal quality evaluation method. Background technique [0002] The Global Navigation Satellite System (GNSS) provides global positioning, navigation, and timing (PNT) services. Its applications have penetrated into various fields such as national defense construction, land resources, surveying and mapping agriculture, forestry, transportation and tourism, and involve human daily life and life safety. And many other aspects. Satellite navigation signal is the only core link in GNSS that simultaneously establishes connections between the space segment, the ground segment and the user segment. The quality of the navigation signal directly affects the service and user experience of the system. and geological disasters are extremely important. Therefore, in order to ensure that the satellite navigation system can provide eff...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S19/29G01S19/30
CPCG01S19/29G01S19/30
Inventor 石慧慧饶永南卢晓春王雪贺成艳张馥臣
Owner NAT TIME SERVICE CENT CHINESE ACAD OF SCI
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