一般状态空间模型的延迟取样估计方法
摘要
本文提出了一种用于处理一般状态空间模型状态估计的延迟取样估计算法.数值实验的结果表明,在计算复杂度相当的条件下,该算法能够取得比同步估计算法更加精确的估计结果.
出处
《应用概率统计》
CSCD
北大核心
2009年第2期219-223,共5页
Chinese Journal of Applied Probability and Statistics
参考文献8
-
1Arulampalam, M.S., Maskell, S., Gordon, N. and Clapp, T., A turotial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Trans. Signal Process., 50(2)(2002), 174-188.
-
2Doucet, A., Godsill, S. and Andricu, C., On sequential Monte Carlo sampling methods for Bayesian filtering, Statist. Comput., 10(3)(2000), 197-208.
-
3Gustafsson, F., Gunnarsson, F., Bergman, N., Forssell, U., Jansson, J., Karlsson, R. and Nordlund, P., Particle filters for positioning, navigation and tracking, IEEE Trans. Signal Process., 50(2)(2002), 425-437.
-
4Caron, F., Davy, M., Duflos, E. and Vanheeghe, P., Particle filtering for multisensor data fusion with swithching observation models: application to land vehicle positioning, IEEE Trans. Signal Process., 55(6)(2007), 2703- 2719.
-
5Chen, R., Wang, X. and Liu, J.S., Adaptive joint detection and decoding in fiat-fading channels via mixture Kalman Filtering, IEEE Trans. Inform. Theory, 46(6)(2000), 2079-2094.
-
6Ghirmai, T., Bugallo, M.F., Miguez, J. and Djuric, P.M., A sequential Monte Carlo method for adaptive blind timing estimation and data detection, IEEE Trans. Signal Process., 53(8)(2005), 2855-2865.
-
7Giremus, A., Tourneret, J.Y. and Calmettes, V., A particle filtering approach for joint detection/ estimation of multipath effects on GPS measurements, IEEE Trans. Signal Process., 55(4)(2007), 1275-1285.
-
8Geweke, J. and Tanizaki, H., Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling, Comput. Statist. Data Anal., 37(2001), 151-170.