Performance Analysis of Gaussian Optimal Filtering for Underwater Passive Target Tracking

Ali, Wasiq; Li, Yaan; Javaid, Kashif; Ahmed, Nauman

doi:10.1007/s11277-020-07560-3

Cited by 7 publications

(1 citation statement)

References 27 publications

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“…The initial state x 0 with mean µ 0 and variance P 0 is uncorrelated with the other random variables. Such a linear dynamic nonlinear observation system is common in the field of target tracking [23] and robot localization. The measurement data are usually obtained in the polar coordinate system or spherical coordinate system.…”

Section: System Architecturementioning

confidence: 99%

A Recursive Non-Uniform Sampling Estimator for Asynchronous Nonlinear Systems

Yang,

Liu,

Song

2024

Sensors

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In this paper, we consider the problem of asynchronous estimation in the presence of packet losses for the randomly sampling nonlinear system. Packet losses occur at the control input and at the measurement side. Firstly, the synchronization of the asynchronous sampling system is realized by weighting the state of the adjacent state update points. Secondly, the projection theorem is used to estimate the system state at the sampling time. Due to modeling errors and unmodeled dynamics, obtaining an accurate dynamic model is challenging. Therefore, observation inference based on interpolation techniques is proposed to solve the asynchronous estimation problem. Furthermore, the algorithm is extended to multi-sensor systems to obtain a distributed fusion estimator. Finally, simulation experiments are conducted to validate the effectiveness of the algorithm.

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Section: System Architecturementioning

confidence: 99%