Deception jamming optimization strategy against adaptive filtering for netted radar

Aiming at the fact that the adaptive filtering is used to estimate the target state in the netted radar system when the tracking target is maneuvering, a deception jamming optimization strategy was proposed on the basis of the netted radar with the plot fusion data processing structure. The model of the target tracked by the netted radar was described according to the state and measurement equation, the adaptive filtering model of tracking maneuvering target was established at the same time. Based on all this, a deception jamming model was established, and the influence relationship of false target deception jamming against the adaptive filtering state estimation error covariance of the netted radar fusion center was derived under the constraint of target maneuver detection. The trace of the error covariance matrix was used to quantify the effect of deception jamming and stand for the objective function of optimization. The Schur complement theory of matrix was used to change the constraints to a linear matrix inequality, and a deception jamming optimization strategy was changed in the solution to the convex optimization problem for semidefinite programming. The simulation results verify the effectiveness of the proposed deception jamming optimization strategy. © 2022, NUDT Press. All right reserved.