Research on the infrared radiation characteristics of the tail flame of hypersonic aircraft and the detection range of space-based infrared warning satellites

In recent years, hypersonic aircraft have played an increasingly important role in modern battlefields, and detecting and warning hypersonic aircraft has become a research hotspot. In order to study and verify the effective detection range of space-based infrared satellite warning systems for hypersonic aircraft, we established an approximate equivalent model of the X-51A tail flame, calculated the infrared radiation characteristics in two atmospheric infrared window bands, and drew radiation intensity distribution maps of the tail flame in different directions in three-dimensional space. The parameters of GEO-1, the first geostationary orbit satellite of the SBIRS, were obtained through research. The detection distance of this system was calculated, and its detection and early warning capabilities for hypersonic aircraft were analyzed. The simulation results show that the radiation level of the X-51A tail flame calculated based on the model in this article is basically consistent with the literature, and the tail flame radiation reaches its maximum at an angle of 55&deg; to the axial direction. The maximum detection range of the space-based infrared warning satellite was calculated to be around 10<sup>7</sup> - 10<sup>8</sup>m, which is consistent with the actual situation and verifies its ability to effectively detect targets in theory.

Authors

Institutions

Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1117/12.3046878
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the infrared radiation characteristics of the tail flame of hypersonic aircraft and the detection range of space-based infrared warning satellites

Siyu Wang, Jun Zhang, Yunsong Feng, Wei Jin et al.
Advanced Measurement and Detection Methods
article

Research on the infrared radiation characteristics of the tail flame of hypersonic aircraft and the detection range of space-based infrared warning satellites

Siyu Wang, Jun Zhang, Yunsong Feng, Wei Jin, Yuan Shang, Zhou Changqi
article en

Abstract

In recent years, hypersonic aircraft have played an increasingly important role in modern battlefields, and detecting and warning hypersonic aircraft has become a research hotspot. In order to study and verify the effective detection range of space-based infrared satellite warning systems for hypersonic aircraft, we established an approximate equivalent model of the X-51A tail flame, calculated the infrared radiation characteristics in two atmospheric infrared window bands, and drew radiation intensity distribution maps of the tail flame in different directions in three-dimensional space. The parameters of GEO-1, the first geostationary orbit satellite of the SBIRS, were obtained through research. The detection distance of this system was calculated, and its detection and early warning capabilities for hypersonic aircraft were analyzed. The simulation results show that the radiation level of the X-51A tail flame calculated based on the model in this article is basically consistent with the literature, and the tail flame radiation reaches its maximum at an angle of 55&deg; to the axial direction. The maximum detection range of the space-based infrared warning satellite was calculated to be around 10<sup>7</sup> - 10<sup>8</sup>m, which is consistent with the actual situation and verifies its ability to effectively detect targets in theory.

National University of Defense Technology (CN), Beihang University (CN)
Affordable and clean energy
Openalex Percentile: Top 79%
Advanced Measurement and Detection Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.