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In view of the traditional aviation radar network invasion threat, and intrusion diagnostic test of radar network low efficiency, data matching speed is slow, this paper proposes an aviation radar online invasive diagnosis method based on BAM network, build invasion diagnosis model of aviation radar online, preprocessing the external data in aviation radar network, and obtain data features and characteristics of discernibility matrix and decision attribute recognition function, all the characteristic vector calculation test parameter set, so that reduce the amount of matching the intrusion detection operator, to enhance the efficiency of data matching, external intrusion data filtering detection, thus for on-line monitoring of the radar data network, effectively resist the invasion of external abnormal data, make sure the safety of aviation radar network. The simulation results show that the method effectively improves the matching speed aviation radar network data online detection, diagnosis accuracy rate reached 93.3%, and the invasion of the aviation radar detection diagnosis efficiency, the rate of false alarm, non-response rates etc have been improved significantly.