Anti-interference Tracking Algorithm Based on Structural Random Jump System Theory

摘要

In the process of tracking a maneuvering target, when there is interference, the system parameters and structure will randomly jump. The previous algorithms have less consideration. The thesis applies the structural random jump system theory to the anti-jamming tracking problem of the two sensors, establishes its nonlinear model, completes the algorithm design, and completes the linearization of the nonlinear model. Experimental verification shows that it can effectively solve the problem of stable tracking of the target in the presence of interference and when the two different sensors are switched to each other.