Coordinate transformation method for beam grazing angle calculation of space-based early warning radar

With the rapid development of space technology and the increasing demand for global security early warning, space-based early warning Radar (SBR) is playing an increasingly important role in defending against potential threats. Based on the perturbed motion model of low-earth orbit satellites, this paper proposes a method for calculating the beam grazing angle of SBR using coordinate transformation techniques. The method is characterized by its clear process and simple calculation. The effectiveness of this method has been verified through simulation experiments, providing a practical method for the real-time calculation of the beam grazing angle of SBR.

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Publication Details

Journal
Scientific Reports
Published
2026-03-02
DOI
https://doi.org/10.1038/s41598-026-42233-4
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Coordinate transformation method for beam grazing angle calculation of space-based early warning radar

Yan Zhang
Scientific Reports
Radar Systems and Signal Processing
article

Coordinate transformation method for beam grazing angle calculation of space-based early warning radar

Yan Zhang
article en

Abstract

With the rapid development of space technology and the increasing demand for global security early warning, space-based early warning Radar (SBR) is playing an increasingly important role in defending against potential threats. Based on the perturbed motion model of low-earth orbit satellites, this paper proposes a method for calculating the beam grazing angle of SBR using coordinate transformation techniques. The method is characterized by its clear process and simple calculation. The effectiveness of this method has been verified through simulation experiments, providing a practical method for the real-time calculation of the beam grazing angle of SBR.

Scientific Reports
Early Warning (United States) (US)
Openalex Percentile: Top 40%
Radar Systems and Signal Processing
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