Maneuvering Target Tracking using Unscented Kalman Filter based Interacting Multiple Model
碩士 === 國立雲林科技大學 === 電機工程系 === 106 === In this paper, we use an unscented Kalman filter for nonlinear motions in an interacting multiple model algorithm to track maneuvering target. The unsented transform (UT) is a method for calculating the statistics of a random variable which undergoes a nonlin...
Main Authors: | WANG,RUI-HAO, 王瑞皓 |
---|---|
Other Authors: | DOU,CHIE |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/j58ccd |
Similar Items
-
Auxiliary Truncated Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking
by: Liang-Qun Li, et al.
Published: (2017-04-01) -
Research on Target Tracking Based on Unscented Kalman Filter
by: Xing Liu, et al.
Published: (2013-06-01) -
An Improved Interacting Multiple Model Filtering Algorithm Based on the Cubature Kalman Filter for Maneuvering Target Tracking
by: Wei Zhu, et al.
Published: (2016-06-01) -
Improved adaptive unscented Kalman filter algorithm for target tracking
by: Han Chunyao, et al.
Published: (2017-01-01) -
Performance Evaluation and Analysis of Unscented Particle Filter in Maneuvering Target Tracking
by: LIN, HAN-TING, et al.
Published: (2018)