Processing Method of Civil Radar Echo Signal Based on Kalman Filter Algorithm

With the popularization of civil radar application, it has great development potential in the situations of earthquake disasters and engineering accidents, such as personnel search and rescue, medical detection, and urban anti-terrorism. A civil radar echo signal processing method based on Kalman filter algorithm is designed. The Kalman filter algorithm is used to suppress the noise of the acquired radar echo signal. According to the amount of information obtained for the target being explored in different stages, target detection is regarded as the second stage of civil radar echo signal processing. Based on the Faster R-CNN detection framework, the context information and multi-scale Faster R-CNN target detection method are designed to determine the presence or absence of the target based on the denoised signal. Implement reference signal reconstruction, multipath clutter suppression, target location and tracking, and obtain some basic parameters to determine the target. The test results show that the tracking distance error of this method for stationary target, inching target and moving target is small.