In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 4 ( 2022-4-7), p. e0266514-
Abstract:
To reduce the collision risk to civil airliners caused by suborbital vehicle disintegration events, this paper uses a covariance propagation algorithm to model the debris landing point of suborbital disintegration accidents and gives a collision probability analysis method for civil airliners encountering debris during the cruise. Collision warning is performed for airborne risk targets to improve the emergency response capability of the ATC surveillance system to hazardous situations. The algorithm models the three-dimensional spatial motion target localization problem as a Gauss-Markov process, quantifying the location of debris landing points in the vicinity of nominal trajectories. By predicting the aircraft trajectory, the calculation of the inter-target collision probability is converted into an integration problem of a two-dimensional normally distributed probability density function in a circular domain. Compared with the traditional Monte Carlo method, the calculation speed of debris drop points is improved, which can meet the requirements of civil aviation for real-time response to unexpected situations.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0266514
DOI:
10.1371/journal.pone.0266514.g001
DOI:
10.1371/journal.pone.0266514.g002
DOI:
10.1371/journal.pone.0266514.g003
DOI:
10.1371/journal.pone.0266514.g004
DOI:
10.1371/journal.pone.0266514.g005
DOI:
10.1371/journal.pone.0266514.g006
DOI:
10.1371/journal.pone.0266514.g007
DOI:
10.1371/journal.pone.0266514.g008
DOI:
10.1371/journal.pone.0266514.g009
DOI:
10.1371/journal.pone.0266514.g010
DOI:
10.1371/journal.pone.0266514.g011
DOI:
10.1371/journal.pone.0266514.g012
DOI:
10.1371/journal.pone.0266514.t001
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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