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Measurement-Driven Multi-Target Multi-Bernoulli Filter
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A measurement-driven multi-target multi-Bernoulli (MeMBer) filter which modifies the MeMBer filter by the measurements information is proposed in this paper.
The proposed filter refines both the legacy estimates and the data-induced estimates of the MeMBer filter.
For the targets under the legacy track set, the detection probabilities derived from the measurements are employed to refine the multi-target distribution.
And for the targets under the data-induced track set, the multi-target distribution is further improved by the modified existence probabilities of the legacy tracks.
Unlike the cardinality balanced MeMBer (CBMeMBer) filter, the proposed filter removes the cardinality bias in the MeMBer filter by utilizing the measurements information.
Simulation results show that, compared with the traditional methods, the proposed filter can improve the stability and accuracy of the estimates and does not need the high detection probability hypothesis.
American Psychological Association (APA)
Li, Shijie& Lei, Humin. 2018. Measurement-Driven Multi-Target Multi-Bernoulli Filter. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208456
Modern Language Association (MLA)
Li, Shijie& Lei, Humin. Measurement-Driven Multi-Target Multi-Bernoulli Filter. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1208456
American Medical Association (AMA)
Li, Shijie& Lei, Humin. Measurement-Driven Multi-Target Multi-Bernoulli Filter. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208456
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208456