A Fast Maneuvering Target Motion Parameters Estimation Algorithm Based on ACCF

2015 ◽  
Vol 22 (3) ◽  
pp. 270-274 ◽  
Author(s):  
Xiaolong Li ◽  
Guolong Cui ◽  
Wei Yi ◽  
Lingjiang Kong
2020 ◽  
Vol 56 (1) ◽  
pp. 226-248 ◽  
Author(s):  
Nertjana Ustalli ◽  
Debora Pastina ◽  
Pierfrancesco Lombardo

2020 ◽  
Vol 31 (4) ◽  
pp. 1625-1647
Author(s):  
Mingming Tian ◽  
Guisheng Liao ◽  
Shengqi Zhu ◽  
Xiongpeng He ◽  
Yunpeng Li

2015 ◽  
Vol 764-765 ◽  
pp. 664-670
Author(s):  
Yi Wei Chen ◽  
Yung Lung Lee

The estimation performance of interactive multiple model (IMM) estimator for tracking a maneuvering target is influenced by the target motion models and application of filters. An improved IMM estimation algorithm combined with the intelligent input estimation technique is proposed in this study. The target motion models include the constant velocity (CV) model and the modified Singer acceleration model. The intelligent fuzzy weighted input estimation (IFWIE) is used to compute the acceleration input for the modified Singer acceleration model besides the application of standard Kalman filter (KF). The combination of KF and IFWIE can estimate the target motion state precisely and the proposed method is compared with the common IMM estimator. The simulation results prove the improved IMM estimator has superior estimation performance than the common IMM estimator, especially when the target changes the acceleration violently. The utilization of IFWIE for the improved IMM estimator can estimate the acceleration input effectively.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 76060-76074 ◽  
Author(s):  
Jibin Zheng ◽  
Jiancheng Zhang ◽  
Shuwen Xu ◽  
Hongwei Liu ◽  
Qing Huo Liu

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