6D Motion Parameters Estimation in Monostatic Integrated Sensing and Communications System

Abstract

In this paper, we propose a novel scheme to estimate the six-dimensional (6D) motion parameters of the dynamic target for monostatic integrated sensing and communications (ISAC) system. We first provide a generic ISAC framework for dynamic target sensing based on massive multiple input and multiple output (MIMO) array. Next, we derive the relationship between the sensing channel of ISAC base station (BS) and the 6D motion parameters of the dynamic target. Then, we employ the array signal processing methods to estimate the horizontal angle, pitch angle, distance, and virtual velocity of the dynamic target. Since the virtual velocities observed by different antennas are different, we adopt plane fitting to estimate the dynamic target’s radial velocity, horizontal angular velocity, and pitch angular velocity from these virtual velocities. Simulation results demonstrate the effectiveness of the proposed 6D motion parameters estimation scheme, which also confirms a new finding that one single BS with a massive MIMO array is capable of estimating the horizontal angular velocity and pitch angular velocity of the dynamic target.