Research On XX Radar Clutter Suppression Method

XX radar is a highly sophisticated target tracking and measuring device in one testing field. Because of the interference of clutter, this radar is greatly affected by the environment, which brings the human operators great difficulties in detecting and tracking the targets. To tackle this problem, studies are conducted on suppression methods of radar clutters in this paper.XX radar is a conventional single-pulse radar for tracking flying objects of high speed and measuring their speeds under the assumption that their trajectories are known beforehand. The determinacy of the flying object provides a priori knowledge for classification and capturing of targets. To efficiently extracting target information and suppressing clutters, the idea of incorporating a priori knowledge into radar signal processing is proposed in this paper. Real-life radar data is obtained to validate our clutter suppression method on XX radar. The real-life XX radar image is sampled and analyzed based on our new design from the data extraction system in the digital storage oscillator. Considering the features that wavelet transforms is efficient in dealing with nonlinear and non-stationary radar signal, we, on one hand, study the theory of wavelet transform and its properties, and the selection of waveform basis. Waveform transform is then utilized to decompose the simulation date of XX radar afterward. On the other hand, we implement the target extraction and clutter suppression algorithm using the a priori knowledge in the process of target extraction and signal reconstruction. Another time-frequency analysis method, namely HHT, is also studied and used in the signal decomposition and reconstruction of XX radar simulation data, which also complete the target extraction and clutter suppression.Experimental results show that when wavelet transform or HHT is employed to XX radar signal, the clutters can be obviously suppressed. The target echo shown on the PPI screen will appear brighter and clearer, which will facilitate the human operators to catch and track the target.