The three-dimensional recognition method based on radar networks is studied. Micro- motion models are built for precessing, swinging and spinning cone-shaped targets with and without empennages. Then the micro-ranges of all the targets are analyzed, and their frequency characteristics are obtained. Furthermore, one classification method is put forward based on frequency integration in multi-view. This method is validated to be effective by experiments.