Single-view bistatic sparse reconstruction in TWRI exploiting ghost's aspect dependence feature

Abstract

Due to its diverse applications, through-the-wall radar imaging (TWRI) is rapidly growing with much attention on the application of compressive sensing (CS) and multipath ghost suppression. If not properly handled, ghosts can adversely affect the image interpretation. This paper proposes efficient ghost suppression method which exploits aspect dependence feature of the ghost under CS framework while takes advantage of single-view bistatic radar configuration. The efficacy of the proposed method was scrutinized based on the generalized signal model which mimics the real TWRI scenario that accommodates almost all possible scatterers. Duo sensing matrices are developed such that the ghost's aspect dependence on the resulting images is noticeable. Both qualitative and quantitative results demonstrate the strength of the proposed methods.