A route planning method for stealth aircraft

Abstract

The invention relates to a route planning method for a stealth aircraft, in particular to a route planning method for a stealth aircraft with variable RCS (radar launch area) characteristics. 1) First, analyze the three-dimensional RCS of the aircraft to find out the incident directions with minimum RCS values, and use this as the direction that the aircraft is allowed to aim at the enemy radar when flying; 2) Then, according to the motion characteristics of the aircraft, these The incident direction is grouped to find out what kind of movement the aircraft should continue to do in each direction, so as to ensure that the aircraft can continue to maintain a minimum RCS, and use this as the most suitable route direction for penetration; 3) Under the current position and attitude of the aircraft , if the aircraft can switch to a route direction selected in 2) after a brief maneuver, then the route direction is suitable for penetration. If not, look for routes that try to guarantee effective avoidance of the most important threats (closest radar, most capable radar).

Description

technical field [0001] The present invention relates to a route planning method for a stealth aircraft, in particular to a route planning method for a stealth aircraft with variable RCS (radar launch area) characteristics, especially a method utilizing the geometric characteristics of the aircraft RCS under strong real-time constraints route planning method. Background technique [0002] Stealth aircraft have different RCS with different angles of incident radar waves. The basic principle of stealth penetration is to aim the smaller RCS face at the radar as much as possible during the flight of the aircraft. The existing route planning methods all augment the angle parameters of the aircraft to the quantities that need to be optimized, and use optimization algorithms or search algorithms to solve them. In this way, the route planning problem of the stealth aircraft in the three-dimensional space can be transformed into the search for the point position of the stealth aircr...

AI Technical Summary

Problems solved by technology

This will lead to the expansion of the dimension of the space to be planned for route planning from 3D to 6D, greatly increasing the computational load of the algorithm, and making it difficult to realize real-time route planning calculations under the limited computing resources onboard.

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