Complex maneuvering aircraft flight path estimation method based on learnable extended Kalman filtering

Abstract

The invention discloses a complex maneuvering aircraft flight path estimation method based on learnable extended Kalman filtering, and relates to an aircraft flight path estimation method. The problemthat an existing flight path estimation method is low in precision under the complex maneuvering condition of a target aircraft is solved. The method includes establishing a kinetic model of the aircraft, and further establishing a maneuvering model of the aircraft; constructing a learnable extended Kalman filtering algorithm for aircraft track estimation, and designing and training an input modification network and a gain modification network in the learnable extended Kalman filtering algorithm; the learnable extended Kalman filtering algorithm used in aircraft flight path estimation is obtained by training according to existing flight path data, the motion characteristic prior information of the aircraft is more fully utilized, the complex maneuvering mode of the aircraft can be described more accurately, and the flight path estimation precision is improved. The method is suitable for the field of information calculation based on knowledge and modes.

Description

technical field [0001] The invention relates to a flight track estimation method of an aircraft, in particular to a learnable extended Kalman filter method based on a cyclic neural network, and belongs to the field of information estimation based on knowledge and patterns. Background technique [0002] For aircraft with complex maneuvering forms such as high-speed gliding aircraft, its track estimation is more complicated than that of ordinary aircraft. Most of the current aircraft track estimation methods use constant velocity (CV), constant acceleration (CA), current statistics, Singer and other models to describe target maneuvers, and are based on Extended Kalman Filter (EKF), Adaptive Kalman Filter (AEKF), etc. method implements track estimation. In the face of such complex maneuvering aircraft track estimation problems, limited by the accuracy of the model, the existing track estimation methods cannot fully adapt to the complex motion modes of the aircraft, resulting i...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a track estimation method suitable for aircraft with complex maneuvering forms, to solve the problem of low accuracy of existing methods under the complex maneuvering conditions of the target aircraft, and then provide a method based on learnable extended Kalman filter Track Estimation Method for Complex Maneuvering Vehicles

Images