Measurement Bias Estimation in the Problem of Target Tracking
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
In the problem of target tracking, different types of biases can enter into the measurement collected by sensors due to various reasons.
In order to accurately track the target, it is essential to estimate and correct the measurement bias.
Considering practical backgrounds, the bias is assumed to be locally stationary Gaussian distributed and an iterative estimation algorithm is proposed.
Firstly, a mechanism is established to detect whether the bias switches between different Gaussian distributions.
Secondly, the expectation maximization algorithm with the assistance of extended Kalman filtering and smoothing is proposed to iteratively estimate the bias and target state in an offline manner.
Simulations show the proposed algorithm can suppress the impact of the measurement bias on target tracking.
American Psychological Association (APA)
Ren, Honglin& Lu, Zhihua. 2019. Measurement Bias Estimation in the Problem of Target Tracking. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1212333
Modern Language Association (MLA)
Ren, Honglin& Lu, Zhihua. Measurement Bias Estimation in the Problem of Target Tracking. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1212333
American Medical Association (AMA)
Ren, Honglin& Lu, Zhihua. Measurement Bias Estimation in the Problem of Target Tracking. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1212333
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212333