Focusing one-stationary bistatic forward-looking synthetic aperture radar based on squint minimization and modified nonlinear chirp scaling algorithm. Issue 22 (17th November 2018)

• Record Type: Journal Article
• Authors: Liang, Mu; Su, Weimin; Ma, Chao; Gu, Hong; Yang, Jianchao
• Is Part Of: International journal of remote sensing. Volume 39:Issue 22(2018)
• Page Start: 7830
• Page End: 7845
• Publication Date: 2018-11-17
• Subjects: Remote sensing -- Periodicals; Télédétection -- Périodiques; 621.3678
• DOI: 10.1080/01431161.2018.1471547
• Languages: English
• ISSNs: 0143-1161

Abstract

ABSTRACT: This article deals with the imaging problem of bistatic forward-looking synthetic aperture radar with a stationary transmitter (one-stationary BFSAR). In one-stationary BFSAR, due to the large forward-looking (or squint) angle, it causes more serious range cell migration and two-dimensional spatial variation. To solve this problem, an imaging algorithm based on squint minimization and modified nonlinear chirp scaling (NLCS) method is proposed. The squint minimization method can decrease the coupling between range and azimuth and correct the linear range cell migration. The modified NLCS can eliminate the variation of azimuth reference function more accurately than traditional NLCS algorithm, which improves the focus quality of marginal targets. Finally, simulation results confirm the efficiency of our proposed algorithm.