Robust Wiener filter based time gating method for detection of shallow buried objects

TL;DR

This paper introduces a robust detection method combining Wiener filtering and adaptive time gating to improve the identification of shallow buried objects in UWB imaging, effectively reducing ground clutter interference.

Contribution

It proposes a novel two-step approach that uses Wiener filtering for clutter cancellation and adaptive time gating based on pre-detection, enhancing detection accuracy for shallow buried objects.

Findings

Improved detection accuracy with fewer missed targets.

Effective ground clutter suppression in UWB imaging.

Adaptive window selection enhances shallow object detection.

Abstract

In detecting shallow buried underground objects, reflected power from ground, i.e. ground surface clutter makes the task extremely difficult. In order to remove ground clutter, conventional methods in the literature are not as much effective as we need for objects buried detection in shallow depths. In this paper, a robust method, based on Time gating and wiener filtering, is proposed, which is very precise and effective in Ultra wideband (UWB) imaging. The problem with time gating method solely is that the timing window length for unknown target depths cannot be determined beforehand with sufficient accuracy. Imprecise window length selection removes parts of target signals along with the clutter and increases missed detection probability. This paper proposes an algorithm to circumvent this problem by first using a wiener filter for cancellation of ground clutter to a reasonable extent and pre detection of target positions by average similarity function (ASF). The time gating method is then used in the second step using the information provided from the first step for window length selection. The combination of the two steps provides better detection of shallow buried objects with less missed detection of targets.