A Multiarray Refocusing Approach for Through-the-Wall Imaging

For multiarray through-the-wall imaging applications, an equivalent imaging model has been constructed, and a multiarray-based refocusing approach is proposed. By utilizing the location relationship of the association target, a higher quality refocused image can be obtained through four-time imaging procedures during algorithm processing. Algorithm performance and applicability are discussed comprehensively, using validation simulations. The processing results show that the proposed approach can improve the imaging quality significantly for both point and extended targets. In particular, when point targets, such as association objects, are used, wall parameters also can be estimated effectively by this approach.