In modern wars， using unmanned aerial vehicle （UAV） clusters to jam the enemy network radar for track deception is an effective way of anti-enemy radar detection. However， given the complexity and uncertainty of the battlefield environment， there are station location errors due to the limited positioning accuracy of the networked radar， and jitter errors due to the influence of air flow and control system. These can cause the generated false track points to deviate from the preset positions and the expected deception effect cannot be achieved. To solve the above problems， this paper analyzes the radar station location errors and UAV jitter errors when the radar station position， UAV position and deception distance are known and the networked radar space resolution cell （SRC） is certain. The UAV cluster successfully deceives the maximum error range allowed by the jamming network radar. For a typical networked radar system， the influence rules of two kinds of errors on the track deception effect are summarized. Some suggestions are put forward to improve the track deception effect. Numerical simulation results show that the analysis and derivation results can effectively evaluate whether the networked radar can be successfully tricked under the condition of radar position error and UAV jitter error seperately.