A Method of Automatic Recognition of Sidelobe Tracking Based on Magnitude-phase Characteristics

The traditional methods for automatic recognition of sidelobe tracking of angle measurement system in radar techniques are presented based on the different magnitude between the signals of sum channel and difference channel. By researching the principal of sidelobe tracking, analyzing it through the computer simulations or the experimental results, a new conclusion about the features of sidelobe tracking is presented as the phases of the signals of sum channel and difference channel are orthogonal and the signal of difference channel is with high magnitude at the sidelobe tracking position. According to the above conclusion, a method based on the magnitude-phase characteristics is proposed: The eigenvector revealing magnitude-phase characteristics for recognizing sidelobe tracking is constructed and the Support Vector Machine (SVM) is employed for later classification process. It demonstrates in experiments that the recognition accuracy is significantly improved by using the new approach which is with strong robustness and high real-time performance.