Abstract
As a new assistant navigation technology using geophysical field for navigation, geomagnetic matching navigation can effectively alleviate the problems such as the unavailability of satellite and the easy divergence of position data of inertial navigation system in the process of navigation. It can also carry out real-time assistant navigation with high concealment, all-around area and all-weather. According to the principle of geomagnetic matching and the geomagnetic affine model, considering that the basic particle swarm optimization algorithm is easy to fall into local extremum, this paper introduces particle swarm optimization geomagnetic matching algorithm based on simulated annealing(SAPSO) for limitations of traditional matching algorithm. What’s more, the SAPSO is improved from three parts: constraints, parameters and function of fitness. Finally, the simulation analysis is carried out from five aspects to verify the effectiveness and accuracy of the improved SAPSO.
Highlights
As a multi-disciplinary engineering technology, navigation and positioning technology is essential in many fields, such as aviation, navigation and land
Based on the principle of batch processing and considering the high positioning accuracy of INS in a short time, this paper proposes an improved particle swarm optimization search strategy based on simulated annealing(SAPSO) combined with the research of geomagnetic characteristics
SIMULATION OF GEOMAGNETIC MATCHING ALGORITHM In order to verify the effectiveness of the improved SWARM OPTIMIZATION ALGORITHM BASED ON SIMULATED Annealing (SAPSO), a simulation analysis of geomagnetic matching was performed according to steps of the proposed algorithm shown in Tab
Summary
As a multi-disciplinary engineering technology, navigation and positioning technology is essential in many fields, such as aviation, navigation and land. The basic principle of geomagnetic matching navigation: Taking the position information provided by INS as a reference, the real-time measured geomagnetic sequence is registered with the existing geomagnetic database through various strategies and algorithms, and the accumulated system error of INS over time is constantly corrected to achieve the autonomous navigation. Based on the principle of batch processing and considering the high positioning accuracy of INS in a short time, this paper proposes an improved particle swarm optimization search strategy based on simulated annealing(SAPSO) combined with the research of geomagnetic characteristics. As a newly optimized algorithm in batch processing algorithm, it has simple implementation principle and fast convergence speed, which guarantees the accuracy and efficiency of geomagnetic matching real-time auxiliary navigation.
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