Efficient Raw Signal Generation Based on Equivalent Scatterer and Subaperture Processing for SAR with Arbitrary Motion

Loading...
Thumbnail Image

Authors

Xie, Hongtu
An, Daoxiang
Huang, Xiaotao
Zhou, Zhimin

Advisor

Referee

Mark

Journal Title

Journal ISSN

Volume Title

Publisher

Společnost pro radioelektronické inženýrství

ORCID

Abstract

An efficient SAR raw signal generation method based on equivalent scatterer and subaperture processing is proposed in this paper. It considers the radar’s motion track, which can obtain the precise raw signal for the real SAR. First, the imaging geometry with arbitrary motion is established, and then the scene is divided into several equidistant rings. Based on the equivalent scatterer model, the approximate expression of the SAR system transfer function is derived, thus each pulse’s raw signal can be generated by the convolution of the transmitted signal and system transfer function, performed by the fast Fourier transform (FFT). To further improve the simulation efficiency, the subaperture and polar subscene processing is used. The system transfer function of pluses for the same subaperture is calculated simultaneously by the weighted sum of all subscenes’ equivalent backscattering coefficient in the same equidistant ring, performed by the nonuniform FFT (NUFFT). The method only involves the FFT, NUFFT and complex multiplication operations, which means the easier implementation and higher efficiency. Simulation results are given to prove the validity of this method.

Description

Citation

Radioengineering. 2014, vol. 23, č. 4, s. 1169-1179. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2014/14_04_1169_1179.pdf

Document type

Peer-reviewed

Document version

Published version

Date of access to the full text

Language of document

en

Study field

Comittee

Date of acceptance

Defence

Result of defence

DOI

Collections

Endorsement

Review

Supplemented By

Referenced By

Creative Commons license

Except where otherwised noted, this item's license is described as Creative Commons Attribution 3.0 Unported License
Citace PRO