Robustification and optimization of a Kalman filter with measurement loss using linear precoding Export

@inproceedings{RBlind09, abstract = {This paper considers a linear precoding for a Kalman filter which receives the measurements over an erasure channel. We show how to design the precoding matrix that either robustifies the Kalman filter with respect to packet losses or reduces the estimation error. The effectiveness of the proposed method is demonstrated by two examples.}, author = {Blind, R. and Uhlich, S. and Yang, Bin and Allgower, F.}, citeulike-article-id = {6071699}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ACC.2009.5160322}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5160322}, day = {10}, doi = {10.1109/ACC.2009.5160322}, journal = {American Control Conference, 2009. ACC '09.}, keywords = {filter, kalman, linear, loss, measurement, precoding, robustification}, month = {July}, pages = {2222--2227}, posted-at = {2009-11-04 22:33:33}, priority = {2}, title = {Robustification and optimization of a Kalman filter with measurement loss using linear precoding}, url = {http://dx.doi.org/10.1109/ACC.2009.5160322}, year = {2009} }

TY - CONF ID - RBlind09 L3 - citeulike-article-id:6071699 N2 - This paper considers a linear precoding for a Kalman filter which receives the measurements over an erasure channel. We show how to design the precoding matrix that either robustifies the Kalman filter with respect to packet losses or reduces the estimation error. The effectiveness of the proposed method is demonstrated by two examples. JF - American Control Conference, 2009. ACC '09. EP - 2227 TI - Robustification and optimization of a Kalman filter with measurement loss using linear precoding SP - 2222 KW - filter KW - kalman KW - linear KW - loss KW - measurement KW - precoding KW - robustification AU - Blind, R AU - Uhlich, S AU - Yang, Bin AU - Allgower, F PY - 2009/07/10/ UR - http://dx.doi.org/10.1109/ACC.2009.5160322 ER -