Method for the Three-Dimensional Imaging of a Moving Target Using an Ultra-Wideband Radar with a Small Number of Antennas

Abstract

Ultra wideband (UWB) radar is considered a promising technology to complement existing camera-based surveillance systems because, unlike cameras, it provides excellent range resolution. Many of the UWB radar imaging algorithms are based on large-scale antenna arrays that are not necessarily practical because of their complexity and high cost. To resolve this issue, we previously developed a two-dimensional radar imaging algorithm that estimates unknown target shapes and motion using only three antennas. In this paper, we extend this method to obtain three-dimensional images by estimating threedimensional motions from the outputs of five antennas. Numerical simulations confirm that the proposed method can estimate accurately the target shape under various conditions.

Velocity/Shape Estimation Algorithm Using Tracking Filter and Data Fusion of Dual Doppler Radar Interferometers

“…In radar imaging, the usual method for estimating target shape is to compensate for the motion of the target on the acquired scatterer position, which is expressed as [7]:…”

“…However, a single Doppler radar interferometer cannot estimate the target velocity as described in the previous section. Although various effective shape estimation algorithms (without Doppler radars) are proposed, these require many antennas and/or time-consuming calculations [6], [7]. As a solution to this problem, we proposed an imaging algorithm using three Doppler radar interferometers [9].…”

“…To resolve these problems, shape/motion estimation techniques using small numbers of radars have recently been studied and developed [5]- [7]. However, their resolution is insufficient and/or excessive computational resources and relatively large calculation times are required for these applications.…”

Two-Dimensional Imaging of a Pedestrian Using Multiple Wideband Doppler Interferometers with Clustering-Based Echo Association

“…Therefore, it is indispensable to use echoes received over multiple snapshots; the images obtained over multiple snapshots are integrated to form a whole image of the target by compensating for the target velocity. Such an imaging method using velocity compensation has been reported in [10], but is only applicable to simple targets. The greatest challenge in this processing is the estimation of the velocity vector of each point in the image, where their radial speeds alone are not sufficient.…”

Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning

“…As a solution to these problems, ultra wide-band (UWB) radar is a powerful tool because of its highresolution imaging capability. Although accurate imaging algorithms with UWB radar for a moving target have been proposed [13]- [16], they are not suitable for complexshaped moving targets such as human bodies. To resolve this problem, we previously proposed an imaging method using UWB Doppler radar imaging [17], [18].…”