Coherent Dynamic Clutter Suppression in Structural Health Monitoring via the Image Plane Technique

Highlights What are the main findings? Dynamic clutter interferes with the received signal in Ground-based Interferometry. Through the Image plain technique the interference can be eliminated. What is the implication of the main finding? Fast moving targets aliasing in doppler can be eliminated through the image plane technique. Fast moving target imaging can be performed as a by-product of the image plane technique.Highlights What are the main findings? Dynamic clutter interferes with the received signal in Ground-based Interferometry. Through the Image plain technique the interference can be eliminated. What is the implication of the main finding? Fast moving targets aliasing in doppler can be eliminated through the image plane technique. Fast moving target imaging can be performed as a by-product of the image plane technique.Abstract In this work, a radar imagery-based signal processing technique to eliminate dynamic clutter interference in Structural Health Monitoring (SHM) is proposed. This can be considered an application of a joint communication and sensing telecommunication infrastructure, leveraging a base-station as ground-based radar. The dynamic clutter is considered to be a fast moving road user, such as car, truck, or moped. The proposed technique is suitable in case of a dynamic clutter, such that its Doppler contribute alias and falls over the 0 Hz component. In those cases, a standard low-pass filter is not a viable option. Indeed, an excessively shallow low-pass filter preserves the dynamic clutter contribution, while an excessively narrow low-pass filter deletes the displacement information and also preserves the dynamic clutter. The proposed approach leverages the Time Domain Backprojection (TDBP), a well-known technique to produce radar imagery, to transfer the dynamic clutter from the data domain to an image plane, where the dynamic clutter is maximally compressed. Consequently, the dynamic clutter can be more effectively suppressed than in the range-Doppler domain. The dynamic clutter cancellation is performed by coherent subtraction. Throughout this work, a numerical simulation is conducted. The simulation results show consistency with the ground truth. A further validation is performed using real-world data acquired in the C-band by Huawei Technologies. Corner reflectors are placed on an infrastructure, in particular a bridge, to perform the measurements. Here, two case studies are proposed: a bus and a truck. The validation shows consistency with the ground truth, providing a degree of improvement within respect to the corrupted displacement on the mean error and its variance. As a by-product of the algorithm, there is the capability to produce high-resolution imagery of moving targets.