A hybrid grid multi-model estimation based on the expected mode augmentation method

作者：Liu, Yang^*; Guo, Qiang; Wu, Qinzhang

来源：Journal of Harbin Engineering University, 2012, 33(2): 234-239.

DOI：10.3969/j.issn.1006-7043.201012022

• Adaptive grids
• Expected-mode augmentations
• Maneuvering target tracking
• Model set
• Multi model

A special kind of algorithm, known as an amendatory expected mode augmention algorithm (M-EMA), was proposed to avoid the fixed structure of a basic model set and the limited amendatory capability of an augmented model. The M-EMA constructed the model set of a hybrid model grid at the same time by introducing the techniques of the adaptive grid (AG) and the likely-model set (LMS) to produce the amendatory model grid and basic model grid. The M-EMA produced a model set which was used in current time resembling more closely the real system mode, and the model set was optimized. The result of the simulation indicates that the performance and stability of the M-EMA algorithm was higher than EMA and LMS, and the M-EMA algorithm noticeably weakened the influence of the maneuvering style and the structure of the model set.

• 出版日期2012
• 单位中国科学院大学; 哈尔滨工程大学