Radar video generated from Synthetic Aperture Radar image

Yamaoka, Tomoya; Suwa, Kanenori; Hara, Teruyuki; Nakano, Yoshiyuki

doi:10.1109/igarss.2016.7730701

Cited by 10 publications

(1 citation statement)

References 3 publications

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“…The squint SAR can enhance the survival probability since it accomplishes the monitoring mission without going through the battlefield. It also has the advantages of associating with multi-mode to achieve some special applications, such as video SAR [ 7 , 8 , 9 , 10 , 11 , 12 ] and increasing revisiting times of the interested area [ 11 ]. When compared to the perpendicular broadside SAR, the squint SAR is more attractive and widely used in the monostatic system, because it provides more flexibility for observing missions of SAR [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Generalized Nonlinear Chirp Scaling Algorithm for High-Resolution Highly Squint SAR Imaging

et al. 2017

Sensors

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This paper presents a modified approach for high-resolution, highly squint synthetic aperture radar (SAR) data processing. Several nonlinear chirp scaling (NLCS) algorithms have been proposed to solve the azimuth variance of the frequency modulation rates that are caused by the linear range walk correction (LRWC). However, the azimuth depth of focusing (ADOF) is not handled well by these algorithms. The generalized nonlinear chirp scaling (GNLCS) algorithm that is proposed in this paper uses the method of series reverse (MSR) to improve the ADOF and focusing precision. It also introduces a high order processing kernel to avoid the range block processing. Simulation results show that the GNLCS algorithm can enlarge the ADOF and focusing precision for high-resolution highly squint SAR data.

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