@inproceedings{4387a620a1674a6aa6dfa0907d2ef386,
title = "On optimal state estimation with multiple packet dropouts",
abstract = "Due to unreliable communication between local sensors and the processing center, packet dropouts may happen during transmission. Two existing methods for linear minimum mean-squared error (LMMSE) estimation with multiple packet dropouts were obtained completely or partially based on a stochastic parameter system constructed by augmenting the original state and measurement. They have a high computational load, unclear measurement residual characterization and tough requirements on initialization. To overcome these, an alternative form of LMMSE estimation with multiple packet dropouts is derived. Under a Gaussian assumption, the minimum mean-squared error (MMSE) estimation with multiple packet dropouts is also derived. Numerical examples are provided to compare performance of the proposed estimators.",
keywords = "Hard decision, LMMSE, MMSE, Packet dropout, State estimation",
author = "Zhansheng Duan and Li, \{X. Rong\}",
year = "2010",
language = "英语",
isbn = "9780982443811",
series = "13th Conference on Information Fusion, Fusion 2010",
booktitle = "13th Conference on Information Fusion, Fusion 2010",
note = "13th Conference on Information Fusion, Fusion 2010 ; Conference date: 26-07-2010 Through 29-07-2010",
}