A new co-located MIMO radar system for multi-target tracking and localization

Abstract

Multiple Input Multiple Output (MIMO) radars are a new generation of radar systems that bring with them many benefits compared to traditional phased-array and multistatic radars. Target localization using MIMO radars with co-located antennas has been recently discussed in the literature. It has been shown that the maximum number of targets that can be uniquely localized in one cell is bounded. This paper presents a new application of MIMO radars in Multi-Target Tracking (MTT) problems. Firstly, the previous model for co-located MIMO radars is modified in order to guarantee the observability in received measurements. Afterwards, it is shown that using prior information about the motion of targets relaxes the limitation on the number of uniquely localized targets. For filtering part, an Un-scented Kalman Filter (UKF) algorithm is used to update states of targets. Simulation results confirm the superiority of proposed approach in estimating states of multi-targets falling in the same resolution cell.