Non-Gaussian Pseudolinear Kalman Filtering-Based Target Motion Analysis with State Constraints

Non-Gaussian Pseudolinear Kalman Filtering-Based Target Motion Analysis with State Constraints

For the bearing-only target motion analysis (TMA), the pseudolinear Kalman filter (PLKF) solves the complex nonlinear estimation of the motion model parameters but suffers serious bias problems. The pseudolinear Kalman filter under the minimum mean square error framework (PL-MMSE) has a more accurat...

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Bibliographic Details
Main Authors: Ming Li, Xiafei Tang, Qichun Zhang, Yiqun Zou
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
bearing-only TMA
PLKF
PL-MMSE under gaussian mixture noise
linear and nonlinear constraints
constrained PL-MMSE algorithms
Online Access:https://www.mdpi.com/2076-3417/12/19/9975

Internet

https://www.mdpi.com/2076-3417/12/19/9975

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