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Improved BAQ algorithm for Tiangong-2 interferometric imaging radar data compression
Shi, Xiaojin1; Zhang, Yunhua1,2; Dong, Xiao1
Source PublicationJournal of Engineering
AbstractTiangong-2 interferometric imaging radar altimeter (InIRA), the first space-borne radar altimeter in the world, applying a new mechanism of interferometry with short baseline and small incident angle, can achieve wide swath and high accuracy sea surface height measuring. Comparing to traditional altimeter, InIRA can obtain SAR image of observation area, which means InIRA needs higher AD sampling rate. Due to the limitation of satellite on-board storage and downlink speed, in order to extend the working time of InIRA, data compression algorithm for InIRA must be studied. Block adaptive quantisation (BAQ) is an efficient and widely adopted approach for space-borne SAR raw data compression. Based on the characters of InIRA echo waveform, this study discusses compressing InIRA raw data by changing quantisation bits and size of blocks of BAQ algorithm to achieve higher compression ratio and less sea surface height error. © 2019 Institution of Engineering and Technology. All rights reserved.
Conference NameIET International Radar Conference 2018, IRC 2018
Conference DateOctober 17, 2018 - October 19, 2018
Conference PlaceNanjing City, China
Indexed ByEI
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Document Type会议论文
Affiliation1.CAS Key Laboratory of Microwave Remote Sensing, National Space Science Centre, Chinese Academy of Sciences, No. 1 Nanertiao Zhongguancun, Haidian, Beijing; 100190, China;
2.University of Chinese Academy of Sciences, 19 A Yuquan Rd, Shijingshan, Beijing; 100049, China
Recommended Citation
GB/T 7714
Shi, Xiaojin,Zhang, Yunhua,Dong, Xiao. Improved BAQ algorithm for Tiangong-2 interferometric imaging radar data compression[C],2019:5785-5788.
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