Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72691
Title: Improved step transform algorithm for high squint angle SAR imaging
Authors: Sun, Xiaobing
Yeo, Tat Soon 
Zhang, Chengbo 
Lu, Yihui 
Issue Date: 1998
Citation: Sun, Xiaobing,Yeo, Tat Soon,Zhang, Chengbo,Lu, Yihui (1998). Improved step transform algorithm for high squint angle SAR imaging. International Geoscience and Remote Sensing Symposium (IGARSS) 2 : 1156-1158. ScholarBank@NUS Repository.
Abstract: Step-transform algorithm had been proposed to SAR imaging. However, it is difficult to be used directly in high squint angle SAR. High squint angle SAR imaging suffers from the large range cell migration and the non-negligible cubic phase term. In this paper, an improved step-transform algorithm called time-varying step-transform algorithm is proposed. It uses varying chirp rates to derange the signal in different subapertures to eliminate the focus range problem. The steps between subapertures are also varied according the deramping chirp rate. The non-negligible cubic phase is compensated in each subaperture. The performance of the algorithm is demonstrated by computer simulation result.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/72691
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.