The recognition of space precession cone by using parameter characteristics can effectively distinguish true and decoy targets. In order to obtain accurate parameter characteristics, the current research generally focuses on the high resolution range profile sequences of the target output by wideband radar, but there are also limitations of high radar bandwidth requirements and no practical engineering applications. To solve this problem, a method based on narrow band radar is proposed to extract high resolution features and complete parameter estimation. Firstly, a target motion model is established to analyze the modulation characteristics of target echo in narrow band observation, and the pseudo-range resolution profile is defined and extracted using the scattering centers′ micro-Doppler and phase information, then the micromotion and structure parameters are estimated using the pseudo-range resolution profile, and the correct estimation result is selected by a two-level pick-out structure. Finally, a simulation experiment based on electromagnetic calculation data is carried out. The implementation results show that the estimation accuracy of the proposed algorithm is better than 97% under the condition of high signal-to-noise ratio, which is 5% higher than that of the traditional method, and the average parameter estimation accuracy is still better than 80% under the condition of 5 dB signal-to-noise ratio, and the application threshold is 9 dB higher than that of the traditional algorithm, indicating the effectiveness and robustness of the proposed algorithm.