Improved BAQ algorithm for Tiangong-2 interferometric imaging radar data compression | |
Shi, Xiaojin1; Zhang, Yunhua1,2; Dong, Xiao1 | |
Department | 微波遥感部 |
Source Publication | Journal of Engineering |
2019 | |
Volume | 2019 |
Issue | 19 |
Pages | 5785-5788 |
DOI | 10.1049/joe.2019.0140 |
Language | 英语 |
Abstract | Tiangong-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 Name | IET International Radar Conference 2018, IRC 2018 |
Conference Date | October 17, 2018 - October 19, 2018 |
Conference Place | Nanjing City, China |
Indexed By | EI |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/7167 |
Collection | 微波遥感部 |
Affiliation | 1.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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2019JOE0140.pdf(1042KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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