Intention recognition for forced motion of space non-cooperative targets based on BiGRU network

In order to solve the problem that it is difficult to identify the forced motion intention of non-cooperative targets, an intention recognition method based on BiGRU (bi-directional gated recurrent unit) network was proposed. The non-cooperative target was categorizes into five forced motion intentions: "forced round fly-around" "forced drip-drop fly-around" "fixed-point oscillating" "line approach" and "hop approach", and the forced motion intention maneuver information dataset of the non-cooperative target was established. Based on the maneuver time series information of the non-cooperative target after entering the observation range of our spacecraft, the BiGRU network was utilized to train on the potential correlation between the time series data and the forced motion intention, so as to realize the intention recognition of the non-cooperative target. The simulation results demonstrate that the detection accuracy of the BiGRU network-based forced motion intention recognition method for non-cooperative targets achieve 98.35%. This method can improve the ability to identify the intentions of non-cooperative targets and provide a technical reference for the safety of our spacecraft in orbit.