Out of sequence
نویسندگان
چکیده
منابع مشابه
Multi-target out-of-sequence data association
In data fusion systems, one often encounters measurements of past target locations and then wishes to deduce where the targets are currently located. Recent research on the processing of such out-of-sequence data has culminated in the development of a number of algorithms for solving the associated tracking problem. This paper reviews these different approaches in a common Bayesian framework an...
متن کاملMulti-Sensor Multi-Target Tracking with Out-of-Sequence Measurements∗
In multi-sensor target tracking systems, measurements from the same target can arrive out of sequence, called the out-of-sequence measurements (OOSMs). The resulting problem – how to update the current state estimates with the “old” measurements – has been solved optimally and sub-optimally for onelag as well as multi-lag OOSM update. In general, the existing algorithms assume perfect target de...
متن کاملRao-Blackwellized Particle Filters With Out-of-Sequence Measurement Processing
This paper addresses the out-of-sequence measurement (OOSM) problem for mixed linear/nonlinear state-space models, which is a class of nonlinear models with a tractable, conditionally linear substructure. We develop two novel algorithms that utilize the linear substructure. The first algorithm effectively employs the Rao-Blackwellized particle filtering framework for updating with the OOSMs, an...
متن کاملMulti-sensor Multi-target Tracking using Out-of-sequence Measurements
1 Proc. Fifth International Conference on Information Fusion (Fusion 2002), Annapolis, MD, U.S.A. Abstract Out-of-sequence measurements (OOSMs) arise in a multi-sensor central-tracking system due to communication network delays and varying preprocessing times at the sensor platforms. During the last few years a great deal of research has focussed attention on the OOSM filtering problem. However...
متن کاملOptimal Update with Out-of-Sequence Measurements for Distributed Filtering
This paper is concerned with optimal filtering in a distributed multiple sensor system with the so-called out-of-sequence measurements (OOSM). Based on BLUE (best linear unbiased estimation) fusion, we present two algorithms for updating with OOSM that are optimal for the information available at the time of update. Different minimum storage of information concerning the occurence time of OOSMs...
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ژورنال
عنوان ژورنال: Nature
سال: 1983
ISSN: 0028-0836,1476-4687
DOI: 10.1038/305090a0