摘要
A particle estimation algorithm, where the weight of the particle is proportional to the correlation coefficient of observations, is presented. When the likelihood has a bimodal nature, this algorithm leads to more accurate state estimates than SIR, APF, RPF, and GPF.
源语言 | 英语 |
---|---|
页(从-至) | 553-555 |
页数 | 3 |
期刊 | Electronics Letters |
卷 | 44 |
期 | 8 |
DOI | |
出版状态 | 已出版 - 2008 |
已对外发布 | 是 |
引用此
Liang, J., Peng, X. Y., & Ma, Y. T. (2008). Particle estimation algorithm using correlation of observation for nonlinear system state. Electronics Letters, 44(8), 553-555. https://doi.org/10.1049/el:20080179