Title :
General multi-object filtering and association measure
Author :
Houssineau, Jeremie ; Del Moral, Pierre ; Clark, Daniel E.
Author_Institution :
Heriot-Watt Univ., Edinburgh, UK
Abstract :
This short paper focuses on the structure of the data association problem and details a solution based on the introduction of distinguishability in the representation of a given stochastic population. This approach allows for the derivation of general filtering equations for independent stochastic populations. Based on these general equations, the concept of association measure is defined recursively.
Keywords :
filtering theory; signal representation; stochastic processes; dat association measure; general filtering equation; general multiobject filtering; independent stochastic population; Approximation methods; Equations; Extraterrestrial measurements; Mathematical model; Sociology; Statistics; Stochastic processes;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location :
St. Martin
Print_ISBN :
978-1-4673-3144-9
DOI :
10.1109/CAMSAP.2013.6714000
