一种改进的类高斯和粒子滤波在大失准角传递对准中的应用

doi:10.7527/S1000-6893.2013.0019

Abstract

Abstract:

On the basis of small misalignment transfer alignment models, a velocity plus attitude matching large misalignment transfer alignment model is treated in detail. For the non-linear and non-Gaussian features of the model, an improved particle filer using Gaussian-like sum resample function is proposed by analyzing the time-domain characteristics of the second-order Markov process. Theoretical analysis shows the unity of large misalignment transfer alignment model and small misalignment transfer alignment model. The simulation with small misalignment verifies the validity of the large misalignment transfer alignment model. And the simulation with large misalignment shows that the accuracy of transfer alignment with non-linear and non-Gaussian features is improved by about 40% with small amounts of increment of calculation.

Key words: transfer alignment, large misalignment, Markov, particle filtering, resampling

CLC Number:

GUO Ziwei, MIAO Lingjuan, ZHAO Hongsong, SHEN Jun. Application of an Improved Gaussian-like Sum Particle Filter to Large Misalignment Transfer Alignment[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, doi: 10.7527/S1000-6893.2013.0019.

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Application of an Improved Gaussian-like Sum Particle Filter to Large Misalignment Transfer Alignment

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