Besides, this algorithm can be easily modified to derive a globally optimal flight path update with removing an earlier (incorrectly associated) measurement.
Optimal flight path update with adding or removing out-of-sequence ...
ieeexplore.ieee.org › document
Besides, this algorithm can be easily modified to derive a globally optimal flight path update with removing an earlier (incorrectly associated) measurement.
Abstract—In a multisensor target tracking system, observa- tions produced by sensors can arrive at a central processor out of sequence.
Besides, this algorithm can be easily modified to derive a globally optimal flight path update with removing an earlier (incorrectly associated) measurement.
Globally optimal flight path update with adding or removing out-of-sequence measurements · Automatica 46(9): 1437-1442 · 2010 · Related References · Quick Search.
[PDF] Optimal Update with Out-of-Sequence Measurements ∗ - CiteSeerX
citeseerx.ist.psu.edu › document
Abstract: This paper is concerned with optimal filtering in a distributed multiple sensor system with the so-called out-of-sequence measurements (OOSM).
Missing: flight path removing
Out-of-sequence measurements (OOSMs) can create difficulties for discrete time filtering. A number of procedure have been developed for extending the Kalman ...
Globally optimal flight path update with adding or removing out-of-sequence measurements. Automatica, 2010, 46: 1437–1442. 41 Bar-Shalom Y, Chen H. Removal ...
Globally optimal flight path update with adding or removing out-of-sequence measurements ... In a multisensor target tracking system, observations produced by ...
Mar 1, 2013 · : ' Optimal flight path update with adding or removing out-of-sequence measurements'. Int. Conf. on Intelligent Control and Information ...