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

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