LIANG Jun, PENG Yu, PENG Xiyuan, “Particle Estimation Algorithm Using Anglebetween Observation Vectors for Nonlinear System State,” Chinese Journal of Electronics, vol. 18, no. 4, pp. 700-702, 2009,
Citation:
LIANG Jun, PENG Yu, PENG Xiyuan, “Particle Estimation Algorithm Using Anglebetween Observation Vectors for Nonlinear System State,” Chinese Journal of Electronics, vol. 18, no. 4, pp. 700-702, 2009,
LIANG Jun, PENG Yu, PENG Xiyuan, “Particle Estimation Algorithm Using Anglebetween Observation Vectors for Nonlinear System State,” Chinese Journal of Electronics, vol. 18, no. 4, pp. 700-702, 2009,
Citation:
LIANG Jun, PENG Yu, PENG Xiyuan, “Particle Estimation Algorithm Using Anglebetween Observation Vectors for Nonlinear System State,” Chinese Journal of Electronics, vol. 18, no. 4, pp. 700-702, 2009,
A particle estimation algorithm where theweight of the particle is related to angle between observation vectors is presented for nonliear system state. Whenthe likelihood has a bimodal nature, this algorithm leads tomore accurate state estimates than Sequential importanceresampling (SIR), Auxiliary particle filter (APF), Regularized particle filter (RPF), and Gaussian particle filter(GPF).