This paper develops a tracking algorithm for maneuvering target based on fuzzy logic inference (FMMTA). In place of the model probability computed intricately in the IMM, filtering measurement innovations are tackled with the innovation covariance, and the results are used as the input to a fuzzy inference system to get the matched degrees for each filtering model in the model set designed. With the matched degrees, the estimation from each filtering is weighted to obtain the maneuvering target's overall estimation and its covariance. The performance of FMMTA is tested via Monte Carlo simulation, and the result expresses its validity and its promise.
Fuzzy multiple model tracking algorithm for manoeuvring target
01.01.2002
301532 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Fuzzy Multiple Model Tracking Algorithm for Manoeuvring Target
British Library Online Contents | 2002
|Tracking a 3D Manoeuvring Target with Variable-Dimension Algorithm
British Library Online Contents | 1995
|Tracking Manoeuvring Aircraft by Interacting Multiple Model Filters
British Library Online Contents | 1996
|Manoeuvring Target Tracking in Clutter using Particle Filters
Online Contents | 2005
|