Research on multitarget fusion and tracking methods for coherent bistatic MIMO radar in urban traffic scenarios

Abstract

Introduced a multi target fusion and tracking method based on dual base coherent MIMO radar. The synchronization of the crystal oscillator and local oscillator signals of the dual base radar is achieved through fiber optic transmission, thereby achieving coherence between the dual base radars. By using the ESPRIT algorithm to estimate the transmitting azimuth DoD and receiving azimuth DoA, a joint estimation result of the target position by the dual base radar is obtained. By matching intermediate distance variables, the calculation results of the target position by the receiving radar are obtained. Match the target position calculation results of the transmitting and receiving radars with the joint estimation results of the dual base radars to obtain the vector velocity of the target. Perform multidimensional Kalman filtering based on the multi-dimensional position results and vector velocity of the target to achieve target tracking. This method can significantly improve the accuracy of target fusion and tracking, and shorten the time from target detection to target tracking.