Using omega‐
            <i>K</i>
            algorithm for bistatic synthetic aperture radar image formation based on modified extended Loffeld's bistatic formula

Zamani, Mohsen; Modarres-Hashemi, Mahmoud

doi:10.1049/iet-rsn.2012.0286

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Synthetic aperture image formation is an inverse process of echo generation, and the transfer function also named point target reference spectrum (PTRS) is a key of frequency-based imaging algorithms [5]. To analytically deduce the PTRS, some approximations such as phase centre approximation (PCA) [2] and Loffeld's bistatic formula (LBF) [7][8][9][10] are preferred, as slight approximation error is generated. When the PTRS of multireceiver SAS system is obtained, it should be further reformulated according to traditional algorithms [11][12][13] based on Taylor approximation.…”

Section: Introductionmentioning

confidence: 99%

Wide‐bandwidth signal‐based multireceiver SAS imagery using extended chirp scaling algorithm

Zhang

Yang²,

Huang

et al. 2021

IET Radar Sonar & Navi

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Traditional chirp scaling algorithm is often developed based on the quadratic approximation of point target reference spectrum, which neglects the higher-order coupling between range and azimuth dimensions. Besides, the scaling operation is conducted based on quadratic term of reference range, and the residual quadratic error increases with target range far away from reference range. The analysis of phase error shows that both errors are noticeable under the case of wide-bandwidth signal, and the imaging performance would be seriously distorted. To solve this problem, the higher-order coupling and quadratic error are compensated by exploiting sub-block processing method in the range dimension when the chirp scaling algorithm is exploited to reconstruct targets. Compared to traditional methods, the presented method significantly improves the focussing performance based on the simulation results. The processing of real data further shows that the performance of presented method is superior to that of traditional method.

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