Mechanism analysis and strategies for high-RCS sector avoidance in stealth aircraft during turning maneuvers

Low-observable trajectory for stealth aircraft in radar detection environments primarily focuses on minimizing the detection probability. The Radar Cross Section (RCS) of stealth aircraft exhibits significant fluctuations with varying aspect angles, making the relative attitude between the aircraft and the radar a critical factor in determining radar detection probability. Consequently, avoiding exposure in specific angular regions characterized by elevated RCS values, referred to as high-RCS sectors, is crucial for minimizing detection risks. This paper established a framework integrating waypoint-based flight dynamics, RCS modeling, and radar detection prediction, conducting a systematic investigation of maneuver mechanisms leveraging a pseudo-six Degrees of Freedom (pseudo-6DOF) formulation. The investigation revealed that the roll angle required for turning maneuvers induces an “azimuth regression” phenomenon, causing re-entry into high-RCS sectors and increasing detection risks. To mitigate this effect, a strategy was developed to adjust load factors and modify the relative attitude, thereby minimizing exposure time in high-RCS sectors. Numerical simulations confirmed that this approach consistently reduces radar detection probability compared to conventional maneuver patterns, providing a theoretical basis and practical guidelines for the tactical flight strategies of stealth aircraft.

Authors

Institutions

Publication Details

Journal
Chinese Journal of Aeronautics
Published
2026-03-01
DOI
https://doi.org/10.1016/j.cja.2026.104175
Primary Topic
Aerospace and Aviation Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanism analysis and strategies for high-RCS sector avoidance in stealth aircraft during turning maneuvers

Xiaoqiang Lu, Jingyi Huang, Lei Song, Jingxin Guan et al.
Chinese Journal of Aeronautics
Aerospace and Aviation Technology
article

Mechanism analysis and strategies for high-RCS sector avoidance in stealth aircraft during turning maneuvers

Xiaoqiang Lu, Jingyi Huang, Lei Song, Jingxin Guan, Haoyu Wang
article en

Abstract

Low-observable trajectory for stealth aircraft in radar detection environments primarily focuses on minimizing the detection probability. The Radar Cross Section (RCS) of stealth aircraft exhibits significant fluctuations with varying aspect angles, making the relative attitude between the aircraft and the radar a critical factor in determining radar detection probability. Consequently, avoiding exposure in specific angular regions characterized by elevated RCS values, referred to as high-RCS sectors, is crucial for minimizing detection risks. This paper established a framework integrating waypoint-based flight dynamics, RCS modeling, and radar detection prediction, conducting a systematic investigation of maneuver mechanisms leveraging a pseudo-six Degrees of Freedom (pseudo-6DOF) formulation. The investigation revealed that the roll angle required for turning maneuvers induces an “azimuth regression” phenomenon, causing re-entry into high-RCS sectors and increasing detection risks. To mitigate this effect, a strategy was developed to adjust load factors and modify the relative attitude, thereby minimizing exposure time in high-RCS sectors. Numerical simulations confirmed that this approach consistently reduces radar detection probability compared to conventional maneuver patterns, providing a theoretical basis and practical guidelines for the tactical flight strategies of stealth aircraft.

Chinese Journal of Aeronautics
Nanyang Technological University (SG), Beihang University (CN)
Openalex Percentile: Top 6%
Aerospace and Aviation Technology
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.