Global satellite navigation system receiver constellation optimal selection method

Abstract

The invention provides a global satellite navigation system receiver constellation optimal selection method comprising the steps that a constellation selection set is initialized; one satellite is added to the current set so that a new constellation selection set is formed; the GDOP value of the new set is calculated, and the new set is recorded when the GDOP value the local minimum value; all the satellites are traversed so that a local optimal constellation selection set of the current scale is acquired; the scale of the set is enlarged, and the local optimal selection process is repeated; and when the required scale is achieved, the set with the minimum current GDOP is selected to act as a final result. The method is low in calculation amount without dependence on the visible satellite uniform distribution hypothesis, and influence of time deviation of different satellite navigation systems on the GDOP is considered so that the method is suitable for constellation optimal selection under a complex environment with blocking of irregular obstacles.

Description

technical field [0001] The invention relates to a receiver constellation optimization method of a global satellite navigation system. Background technique [0002] At present, the global satellite navigation system is in a state of vigorous development. There are four major satellite navigation systems in the world, including the GPS system, GLONASS system, Beidou second-generation regional navigation system, and the second-generation Beidou global navigation system and GALILEO under construction. system. It is foreseeable that in the near future, there will be no less than 50 visible navigation satellites at any time over most regions of the world. Theoretically speaking, a satellite navigation receiver only needs 4 satellites to calculate its own position information, and more visible satellites can bring higher positioning accuracy, but the effect of the number of satellites on improving positioning accuracy shows a decreasing trend. Considering the processing power and...

AI Technical Summary

Problems solved by technology

[0003] Constellation optimization technology generally has the following problems: the calculation process of GDOP involves a complex matrix inversion process, and the amount of calculation is large; when the total number of visible satellites increases, the possible satellite set combinations will increase exponentially

In some complex scenes, such as cities with severe occlusion and irregular shapes of obstacles, the above method cannot guarantee the reliability of the selection results

Moreover, the above methods ignore the influence of the time difference of different satellite navigation systems on GDOP, and cannot meet the requirements of multi-system satellite navigation receiver constellation optimization.

For one application number: 201210585006.0, this patent is to select a suboptimal GDOP constellation structure on the basis of selecting a certain number of high-energy signals by setting the received signal energy threshold, GDOP threshold and the maximum number of selected stars, so that the calculation amount is large. Relying on the assumption of uniform distribution of visible satellites, and does not consider the impact of different satellite navigation system time deviations on GDOP, and is not suitable for constellation optimization in complex environments with irregular obstacles

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