2015 | OriginalPaper | Chapter
Maneuvering Target Tracking Algorithm for Adaptive Estimation on Measurement Noise Variance Matrix
Authors : Rong Wang, Xinxi Feng, Hang Zhou
Published in: Computer Science and its Applications
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Aiming at the irrationality of the given value of observation noise variance in maneuvering target tracking, and based on the idea of the right selection filtering, the author proposes a new observed abnormal quantity of using interest-identify. The author then takes the idea of right selection filtering into consideration, timely adjusting the observation noise variance of filtering, changing the trust level from system to corresponding observation information in rejector so as to adjust the filter’s gains and improve the matching degree between motor model and system mode. The experimental results illustrate that the improvement on filtering algorithm to some extent improves the tracking performance from the system to target as non-maneuverable or weak-maneuverable, as well as better control the error effect of outliers.