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An Adaptive Chaotic Particle Swarm Optimal Integrated Navigation Star Selection Method

A chaotic particle swarm and integrated navigation technology, applied in satellite radio beacon positioning systems, instruments, measuring devices and other directions, can solve problems such as complex methods, and achieve the effect of easy implementation and few parameters

Active Publication Date: 2021-09-03
SHENYANG AEROSPACE UNIVERSITY
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Problems solved by technology

However, the method is complex, and there are many parameters that need to be adjusted, and the practicability of the method still needs to be further explored.

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  • An Adaptive Chaotic Particle Swarm Optimal Integrated Navigation Star Selection Method
  • An Adaptive Chaotic Particle Swarm Optimal Integrated Navigation Star Selection Method
  • An Adaptive Chaotic Particle Swarm Optimal Integrated Navigation Star Selection Method

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[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] First introduce the following concepts and definitions:

[0041] 1. Particle swarm optimization (PSO) method: It is a random optimization method based on swarm intelligence. It imitates the foraging behavior of birds, compares the search space of the problem to the flight space of birds, and abstracts each bird as a particle to represent a candidate solution to the problem. The optimal solution needed for optimization is equivalent to To find food. As a group optimization algorithm proposed by simulating the phenomenon of biological predation in nature, the PSO algorithm can solve the opti...

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Abstract

A combined navigation star selection method based on adaptive chaotic particle swarm optimization, comprising the following steps: 1. Extracting the visible stars observed by the receiver at the current moment according to the navigation message and observation files, numbering the visible stars, and grouping them according to the number of selected stars , and then randomly select N combinations from all the groups to form the initial population; second, determine the fitness function of the evaluation particles; third, continuously update the velocity and position of the particles through the velocity-displacement model in the particle swarm optimization algorithm until the search satisfies Visible star combination for the condition. The advantages of the present invention are: 1. The combined navigation star selection algorithm based on chaotic particle swarm optimization can quickly realize BDS / GPS combined navigation star selection, and the result meets the positioning accuracy requirements of the receiver; 2. The particle swarm optimization algorithm is a potential The neural network algorithm has the characteristics of less adjustment parameters and easy implementation. The application of particle swarm optimization to the receiver satellite selection process provides a new idea for the subsequent research and application of multi-constellation satellite selection.

Description

technical field [0001] The invention relates to the research on a satellite selection method for a multi-constellation satellite navigation system. Under the multi-constellation satellite navigation system, if all visible satellites are used for positioning, it will be difficult to guarantee the real-time performance of navigation. For this reason, it is necessary to select a better group of visible satellites for positioning, so that the accuracy and real-time performance of navigation and positioning are better. At this time, it is necessary to study a fast and effective satellite selection method. In view of this, this paper The invention provides a combined navigation star selection method based on adaptive chaotic particle swarm optimization. Background technique [0002] Star selection is to roughly judge the distribution of visible stars at the location of the receiver before positioning, and select the combination of visible stars with the smallest Geometric Decay of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/28
CPCG01S19/28
Inventor 王尔申贾超颖佟刚曲萍萍何赫王延文蓝晓宇庞涛
Owner SHENYANG AEROSPACE UNIVERSITY
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