Abstract: To improve the stability and accuracy of satellite electromagnetic detection target tracking, a twin network based satellite electromagnetic detection target tracking algorithm is proposed to avoid the tedious target acquisition process. Firstly, a multi-satellite scheduling model is established for electromagnetic detection satellites, matching suitable satellites and working modes for electromagnetic detection targets, in order to complete the collection of target electromagnetic signals. Secondly, a twin network is used to train the target signal, obtaining the electromagnetic feature information and true position information of the target by eliminating interfering clutter in the target signal. Finally, a particle filter algorithm is used to achieve stable tracking of satellite electromagnetic detection targets. The test results show that the proposed algorithm can effectively improve the efficiency of target tracking, and has high stability and accuracy.

Key words: twin networks, satellite electromagnetic detection, target tracking, scheduling model, signal acquisition