A trajectory prediction method for non-cooperative targets in pf space based on firefly swarm optimization

Abstract

The invention discloses an PF space non-cooperative target track prediction method, and the method comprises the steps: an initial particle swarm{x0<1>, x0<2>,...x0<N>} is constructed according to an initial state value of a system, a weight of an initial particle x0 is set as 1 / N, and i=1, 2...N; a particle swarm {xk<1>, xk<2>,..., xk<N>} in k time can be calculated according to a system state equation, and a normalized weight wk of a particle xk can be calculated; the particle swarm in the k time can be optimized according to a firefly algorithm, the process comprises the steps: in each update process, attraction degree [beta]i, j from each particle xk to other partcles can be calculated, the maximum attraction degree [beta]i, max of the partical xk can be selected from the [beta]i, j; when the [beta]i, max is greater than a first threshold [beta]th, position update and weight calculate can be performed on a particle which is corresponding to the [beta]i, max and has small weight; when preset time m is completed, an optimized particle swarm can be obtained; and a state mean value xk^ of system state parameters in k time can be calculated according to the optimized particle swarm. According to the invention, the firefly algorithm can be adopted to optimize a resampling process of particle filtering, the particles cannot be got rid of, system information contained by a particle with low weight can be reserved, and a particle impoverishment problem can be solved.

Description

technical field [0001] The invention relates to the technical field of orbit prediction, in particular to a method for orbit prediction of non-cooperative targets in PF space based on firefly swarm optimization. Background technique [0002] Non-cooperative targets generally refer to a class of space objects that cannot provide effective cooperative information, including faulty satellites, failed satellites, space debris, and enemy spacecraft. Orbit prediction for non-cooperative targets refers to predicting the orbit status of non-cooperative targets in a certain period of time based on the orbit dynamics model on the premise of knowing the status of non-cooperative targets at a certain moment. [0003] Generally speaking, the orbit prediction technology for non-cooperative targets is based on the relative motion state equation of the analytical solution of the C-W equation, combined with estimation theories such as extended Kalman filter, unscented Kalman filter, and part...

AI Technical Summary

Problems solved by technology

Although this resampling process can alleviate the problem of sample degradation, after many cycles, it may result in only one or a few large weight particles remaining in the particle swarm

In this way, although the method guarantees the number of particles, it loses the diversity of particles, which in turn affects the accuracy of orbit prediction.

[0004] Aiming at the particle impoverishment problem existing in the existing non-cooperative target trajectory prediction algorithm based on particle filter, there is an urgent need for a new non-cooperative target trajectory prediction algorithm that can ensure both the number of particles and the diversity of particles, so as to improve the trajectory Prediction accuracy

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