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

TL;DR

This paper introduces a new method for estimating the full 6D motion parameters of dynamic targets using a monostatic ISAC system with massive MIMO, demonstrating that a single base station can accurately determine multiple velocity components.

Contribution

The paper presents a novel 6D motion parameter estimation scheme for monostatic ISAC systems, revealing that a single massive MIMO base station can estimate multiple velocity components of a dynamic target.

Findings

Effective estimation of 6D motion parameters demonstrated through simulations.

Single BS with massive MIMO can estimate horizontal and pitch angular velocities.

Proposed method outperforms existing techniques in dynamic target sensing.

Abstract

In this paper, we propose a novel scheme to estimate the six dimensional (6D) motion parameters of 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 dynamic target. Then, we employ the array signal processing methods to estimate the horizontal angle, pitch angle, distance, and virtual velocity of 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 massive MIMO array is capable of estimating the horizontal angular velocity and pitch angular velocity of dynamic target.