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Correction

Correction: Chen et al. A New Triangulation Algorithm for Positioning Space Debris. Remote Sens. 2021, 13, 4878

1
Changchun Observatory of National Astronomical Observatory, Chinese Academy of Sciences, Changchun 130117, China
2
School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(1), 116; https://doi.org/10.3390/rs15010116
Submission received: 16 March 2022 / Accepted: 11 July 2022 / Published: 26 December 2022
The authors would like to make the following corrections to this paper [1]:
In the original article, the variables used in the derivation of the equations in Sections 2.1 and 2.2 are different. For scientific rigor and to ensure the consistency of the variables used in Section 2, the authors wish to rewrite Section 2.2 to:
“According to previous studies, the positioning error of triangulation is not only related to the observation error of EO sensors but also depends on the configuration between the LOS vectors and the baseline of two EO sensors. In order to analyze the RMS position error of the proposed triangulation algorithm, we rewrite Equation (15) as:
X T = K X M + ( I K ) X N ,
where K = P M 1 ( P M 1 + P N 1 ) 1 is a weighting matrix and I is an identity matrix, and then the space debris position error is given by:
R ¯ = K R M ¯ r M + ( I K ) R N ¯ r N ,
where R M and R N are the position errors of points M and N, respectively, and the vectors r M and r N are their direction vectors. In order to obtain the expressions of RMS position error, we have to derive the expressions of R M and R N .
From Figure 3, the two EO sensors located at two arbitrary observation sites are denoted by A and B, respectively. The actual position of space debris is denoted by T. d α A and d φ A are the LOS vector errors in the topocentric coordinate systems. Similarly, d α B , d φ B are the LOS vector errors in the topocentric coordinate systems. Since d α A , d φ A are small, by Equation (6), the RMS position error of point M in triangulation is given by:
R M ¯ = ρ M ( d α A 2 ¯ + d δ A 2 ¯ ) 1 2 = L A A B + ( L A L B ) ( L B A B ) ( L A L B ) 2 1 ( σ α A 2 + σ δ A 2 ) 1 2 ,
Similarly, with Equation (7), the RMS position error of point N in triangulation is given by:
R N ¯ = ρ N ( d α B 2 ¯ + d δ B 2 ¯ ) 1 2 = L B A B + ( L A L B ) ( L A A B ) ( L A L B ) 2 1 ( σ α B 2 + σ δ B 2 ) 1 2 ,
Substituting Equations (19) and (20) into Equation (18) yields:
R ¯ = K L A A B + ( L A L B ) ( L B A B ) ( L A L B ) 2 1 ( σ α A 2 + σ δ A 2 ) 1 2 r M + ( I K ) L B A B + ( L A L B ) ( L A A B ) ( L A L B ) 2 1 ( σ α B 2 + σ δ B 2 ) 1 2 r N ,
Since it is impossible to know the actual space debris position, the vectors r M and r N cannot be solved. However, we can approximately think vector r N is equal to vector r MN , which is the unit vector of M N , because the actual space debris position is near the line segment MN. Similarly, the vector r M is equal to vector r MN , approximately. Therefore, Equation (30) can be rewritten as:
R ¯ = ( I K ) L B A B + ( L A L B ) ( L A A B ) ( L A L B ) 2 1 ( σ α B 2 + σ δ B 2 ) 1 2 r MN K L A A B + ( L A L B ) ( L B A B ) ( L A L B ) 2 1 ( σ α A 2 + σ δ A 2 ) 1 2 r MN ,
where r MN = L A × L B because the line segment MN is the common perpendicular of L A and L B ”.
As a result of the above changes, Figure 5 in the original article should be replaced with:
In Section 5, the text “Equation (30)” should be “Equation (21)”; the text “Equation (32)” should be “Equation (22)”; the text “ θ A + θ B = 180 ° ” should be “ L A L B = 1 ”.
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original publication has also been updated.

Reference

  1. Chen, L.; Liu, C.; Li, Z.; Kang, Z. A New Triangulation Algorithm for Positioning Space Debris. Remote Sens. 2021, 13, 4878. [Google Scholar] [CrossRef]
Figure 3. Error analysis of triangulation.
Figure 3. Error analysis of triangulation.
Remotesensing 15 00116 g003
Figure 5. The RMS position errors for LEO space debris.
Figure 5. The RMS position errors for LEO space debris.
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MDPI and ACS Style

Chen, L.; Liu, C.; Li, Z.; Kang, Z. Correction: Chen et al. A New Triangulation Algorithm for Positioning Space Debris. Remote Sens. 2021, 13, 4878. Remote Sens. 2023, 15, 116. https://doi.org/10.3390/rs15010116

AMA Style

Chen L, Liu C, Li Z, Kang Z. Correction: Chen et al. A New Triangulation Algorithm for Positioning Space Debris. Remote Sens. 2021, 13, 4878. Remote Sensing. 2023; 15(1):116. https://doi.org/10.3390/rs15010116

Chicago/Turabian Style

Chen, Long, Chengzhi Liu, Zhenwei Li, and Zhe Kang. 2023. "Correction: Chen et al. A New Triangulation Algorithm for Positioning Space Debris. Remote Sens. 2021, 13, 4878" Remote Sensing 15, no. 1: 116. https://doi.org/10.3390/rs15010116

APA Style

Chen, L., Liu, C., Li, Z., & Kang, Z. (2023). Correction: Chen et al. A New Triangulation Algorithm for Positioning Space Debris. Remote Sens. 2021, 13, 4878. Remote Sensing, 15(1), 116. https://doi.org/10.3390/rs15010116

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