Precursors for synthetic aperture radar. (1st June 2023)

• Record Type: Journal Article
• Authors: Cartwright, Natalie A; Muller, Kaitlyn
• Is Part Of: Inverse problems. Volume 39:Number 6(2023)
• Publication Date: 2023-06-01
• Subjects: synthetic aperture radar -- waveform design -- dispersive wave propagation -- precursors -- imaging; Inverse problems (Differential equations) -- Periodicals; 515.357
• DOI: 10.1088/1361-6420/accc50
• Languages: English
• ISSNs: 0266-5611

Abstract

Abstract: In this paper we study waveform design for synthetic-aperture radar (SAR) imaging through dispersive media. Under the assumptions of scalar wave propagation through a causal dielectric medium and single-scattering from an isotropic point scatterer, we use asymptotic analysis to derive the asymptotic approximation to the scattered electric field. From this asymptotic approximation, we define a sensing precursor that we propose for the transmit waveform for SAR imaging through dispersive material. We compare our sensing precursor with previously defined optimal waveforms (Varslot et al 2011 SIAM J. Appl. Math. 71 1780–800) in terms of both propagation and scattering capabilities, as well as imaging performance. With the filtered back-projection imaging algorithm that we use, we find that for high levels of signal-to-noise ratio (SNR), the optimal waveforms contain higher frequencies and thus produce better images. For low levels of SNR, the transmitted optimal waveforms and the sensing precursors are similar, thus giving comparable images.