Distance Deception Jamming Recognition Method for Non-cooperative Passive Radar Based on Mutual Information Entropy

To address the challenge of identifying true and false targets for non-cooperative passive radar (NPR) under distance deception jamming, this letter proposed a recognition method based on mutual information entropy (MIE) by combining the concept of entropy in information theory. By establishing a reference motion model as an intermediary, target measurements are transformed into the MIE dimension, where Bayesian methods are applied to establish a decision model solved via Gibbs sampling for target discrimination. This method efficiently identifies target trace points with limited measurement data and is better suited for NPR systems with unknown illuminator information compared to traditional anti-jamming methods that require multidimensional signal features. The effectiveness has been validated through simulation results.