An Adaptive Distributed System Positioning Method Based on Geographical Coordinates

Abstract

The invention relates to the technical field of air traffic control of civil aviation, in particular to a positioning method implemented by an adaptive distributed system on the basis of geographic coordinates. The positioning method which is a station distribution method implemented by the adaptive distributed system on the basis of the geographic coordinates includes importing the geographic coordinates of airports from google maps on the basis of GDOP (geometric dilution of precision) graphs; computing occlusion factors; adding the occlusion factors into objective functions and then weighing the objective functions according to obstacle occlusion available in aircraft stop point coverage areas R<j> to obtain adaptability f(x, y, z) of current aircraft stop point locations of; optimizing the adaptability f(x, y, z) by the aid of processes on the basis of particle swarm engineering optimization or convex optimization to obtain adaptability f<g>(x, y, z) in different station distribution modes; sorting locations of various sites x, y and z according to the adaptability f<g>(x, y, z) and providing positioning schemes for aircraft stopping and optional locations in the airports. The positioning method implemented by the adaptive distributed system on the basis of the geographic coordinates has the advantage that problems in the prior art can be solved by the aid of the positioning method.

Description

Technical field [0001] The invention relates to the technical field of traffic control in civil aviation, in particular to an adaptive distributed system positioning method based on geographic coordinates. Background technique [0002] The air transportation market is developing rapidly, and the rapid growth of air transportation has put forward higher requirements for the use of airspace and airports. The contradiction between high-density traffic flow's demand for airspace and insufficient available airspace resources has become increasingly prominent. The multipoint positioning (MLAT) system can provide high-precision, high-coverage, and high-data-rate surveillance services to meet the surveillance needs of air traffic services, ensure air transport safety, and improve airspace capacity and aircraft operation efficiency. [0003] The MLAT system uses multiple receiving stations to receive the 1090MHz response signal transmitted by civil aviation aircraft. By measuring the time ...

AI Technical Summary

Problems solved by technology

[0005] 1) The terrain occlusion factor is not taken into account;

[0006] 2) For a specific area, it is impossible to give the contribution of each station to the final result when it participates in positioning, so it is impossible to know which areas a certain station mainly works on;

[0007] 3) It is impossible to comprehensively score each station, so as to sort and optimize the location of the stations;

[0008] 4) It is impossible to give the optimal positioning scheme when the target is at any position (who is the main station, which stations participate in the positioning, and the positioning result is the best)

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