Abstract: ‍ ‍The rapid development of modern electronic warfare， represented by electronic interference， poses a serious challenge and threat to the working performance and survivability of radar systems. To realize the target reconnaissance function， modern radars generally use the corresponding electronic anti-jamming technology， which is essential for these radars to successfully complete tasks under complex electromagnetic interference conditions. Active spoofed jamming is an important form of electronic jamming， wherein the jammer receives the transmitted signal of the radar， modulates the signal， and forwards a signal similar to the real target echo. The radar then receives the false target echo， which causes it to misjudge the target or increase the radar tracking system’s error. Wideband radar networking technology has been applied to areas such as anti-stealth， target recognition， and target information extraction. Most existing anti-jamming technologies orf networked radars focus on narrow-band networked radars. However， broadband radars have higher resolution， can detect more comprehensive information about the target， and achieve better anti-jamming effects than narrow-band radars. For anti-spoofing jamming methods under wideband networked radars， existing studies directly compare the anti-spoofing jamming methods of narrowband radars， assuming that the echo vector of the real target in each range unit is independently and equally distributed， and have not theoretically analyzed the internal reasons for the multi-view one-dimensional range image de-correlation. To address this issue， this study proposes a process for obtaining a multi-view one-dimensional range image via the projection of the three-dimensional scattering center model of the real target and analyzes the difference between the true and false one-dimensional range images in each radar station， as well as the homologous inconsistency of the real target in different wideband radars and the homologous consistency of the forwarded spoof-jamming in different wideband radars. Based on this difference， an anti-spoofing method that uses a one-dimensional range image correlation difference is proposed in broadband radar networking. The discrimination statistics are designed， and the closed discrimination performance based on the cumulative distribution function is analyzed. Computer simulation results show that the proposed method can effectively address broadband spoofing interference， and the discrimination performance is relatively more robust than the target size.