It is difficult to accurately identify the state of deception jamming faced by UAVs during collaborative positioning.To solve the problem,a quantitative identification method that combines WGAN with Trust Model (TM) is proposed.Firstly,based on WGAN,rapid detection of the spoofing state of the UAV formation is realized.Based on this,the TM for collaborative positioning is used to realize accurate identification of the spoofed UAV.The simulation results show that,compared with similar methods,the proposed method has higher accuracy and stability in identifying the spoofed UAV.Moreover,this method does not require a large number of abnormal samples in the training stage,nor does it need a lot of new data interactions in the precise-screening stage.