Compressive sensing‐based Stolt migration imaging algorithm for impulse through‐the‐wall radar. Issue 20 (6th August 2020)

• Record Type: Journal Article
• Authors: Qu, Lele; Li, Zhen; Fathy, Aly E.
• Is Part Of: Electronics letters. Volume 56:Issue 20(2020)
• Page Start: 1074
• Page End: 1077
• Publication Date: 2020-08-06
• Subjects: electromagnetic wave propagation -- radar imaging -- image reconstruction -- compressed sensing -- approximation theory -- matrix algebra; measurement data -- enhanced imaging quality -- Stolt migration imaging operators -- space data -- imaging process -- compressive sensing‐based Stolt migration imaging algorithm -- impulse through‐the‐wall radar; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2020.1606
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : In this Letter, the authors propose using compressive sensing (CS)‐based Stolt migration imaging approach to reduce the amount of measurement data and provide an enhanced imaging quality. The authors utilise both forward and backward Stolt migration imaging operators to deal with the measurement and image the space data in two‐dimensional matrix form for sparse recovery computation. This imaging process accounts for the electromagnetic wave propagation and does not require prior knowledge of the transmitted pulse, which is practically not available in practice. Results of the proposed numerical simulation demonstrate the validity and effectiveness of the proposed imaging algorithm.