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Implementation of InIRA Data Compression Using BAQ with FPGA |
Jinshuang Ma1,2(),Yueying Tang1(),Xiao Dong1 |
1.Key Laboratory of Microwave Remote Sensing,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China 2.University of Chinese Academy of Sciences,Beijing 100049,China |
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Abstract Interferometric Imaging Radar Altimeter (InIRA) is based on interferometric measurement technology with small incident angle, one transmitter and two receivers. Interference Imaging Radar Altimeter can obtain highly coherent sea surface echo and extract interference phase information from the echo, and then achieve sea surface height by inversion. Its prominent advantages are wide swath and high precision. However, because of the huge amount of data, it brings serious challenges to on-board high-capacity data storage and downlink transmission. This paper introduces a method with FPGA to realize Block Adaptive Quantization (BAQ) compression algorithm, which processes the original ocean echo data of a certain satellite borne Interferometric Imaging Radar Altimeter, and analyzes the influence of different compression ratios on the measurement performance. Meanwhile, the traditional BAQ algorithm was improved according to the data characteristics of the new InIRA. It provides reference basis for data compression of future spaceborne Interferometric Imaging Radar Altimeter. The test shows that when the compression ratio is 8/3, the SQNR can reach 15 dB. At 8/6 compression ratio, the measurement error of sea surface height at a resolution of 2 km is about 2.68 cm.
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Received: 02 January 2019
Published: 10 July 2020
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Corresponding Authors:
Yueying Tang
E-mail: majinshuang1949@163.com;tangyueying@mirslab.cn
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1 |
Xu Ke, Liu Heguang, Jiang jingshan. HY-2A Radar Altimeter Design and in Flight Results[J]. Engineering Sciences, 2013, 15(7):25-32.
|
1 |
许可, 刘和光, 姜景山. HY-2A卫星雷达高度计设计及其在轨工作结果[J]. 中国工程科学, 2013, 15(7):25-32.
|
2 |
Jiang Xingwei, Lin Mingsen, Song Qingtao. Active and Passive Microwave Remote Sensing Technology of the HY-2A Ocean Satellite Mission[J].Engineering Sciences,2013,15(7):4-11.
|
2 |
蒋兴伟, 林明森, 宋清涛. 海洋二号卫星主被动微波遥感探测技术研究[J]. 中国工程科学, 2013, 15(7):4-11.
|
3 |
Huang X Q, Liu X Y, Zhu J H, et al. Intercomparison and Anomaly Analysis of WET Tropospheric Corrections from Jason-3 and Saral[J]. IEEE International Geoscience and Remote Sensing Symposium, 2018: 7632-7635. .
doi: 10.1109/IGARSS.2018.8517415
|
4 |
Xu Yongsheng, Gao Le, Zhang Yunhua. New Generation Altimetry Satellite SWOT and Its Reference to China’s Swath Altimetry Satellite[J]. Remote Sensing Technology and Application, 2017, 32(1):84-94.
|
4 |
徐永生,高乐,张云华. 美国新一代测高卫星SWOT——评述我国宽刈幅干涉卫星的发展借鉴[J]. 遥感技术与应用, 2017, 32(1):84-94.
|
5 |
Shi X J, Zhang Y H, Dong X. Evaluation of BAQ on Tiangong-2 Interferometric Imaging Radar Altimeter Data Compression[C]∥ 22nd International Microwave and Radar Conference, MIKON2018, 2018:623-624.
|
6 |
Shi X J, Dong X, Zhang Y H. Performance Analysis of Amplitude-phase Algorithm for Tiangong-2 Interferometric Imaging Radar Altimeter Data Compression[C]∥ 2019 IEEE Radio and Antenna Days of the Indian Ocean (RADIO), 2019.
|
7 |
Shi X J, Zhang Y H, Dong X. Improved BAQ Algorithm for Tiangong-2 Interferometric Imaging Fadar Data Compression [J]. The Journal of Engineering, 2019: 5785-5788. .
doi: 10.1049/joe.2019.0140
|
8 |
Kwok R, William T K, Johnson. Block Adaptive Quantization of Magellan SAR Data[J]. IEEE Transaction on Geoscience and Remote Sensing, 1989, 27(4): 375-383.
|
9 |
Xu Bing. New Progress of Foreign Radar Satellite On-board Data Compression Algorithms[J]. Space International, 2015(8):46-52.
|
9 |
徐冰. 国外雷达卫星星上数据压缩算法的新进展[J]. 国际太空, 2015(8):46-52.
|
10 |
Lloyd S. Least Squares Quantization in PCM[J]. IEEE Transactions on Information Theory, 1982, 28(2):129–136.
|
11 |
Zeng Shangchun. Study on SAR Data Compression Algorithms[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2007.
|
11 |
曾尚春.SAR数据压缩算法研究[D].南京:南京航空航天大学, 2007.
|
12 |
Gao Junfeng, Yang Ruliang, Ma Xiaobing. Implementation of BAQ Algorithm Using FPGA[J]. Journal of Data Acquisition & Processing, 2006, 21(1): 103-107.
|
12 |
高俊峰,杨汝良,马小兵. 分块自适应量化算法的FPGA实现[J]. 数据采集与处理, 2006, 21(1):103-107.
|
13 |
Max J. Quantizing for Minimum Distortion[J]. IEEE Transcation on Information Theory, 1980, 28(12):84-95.
|
14 |
Pieterse Chané, Warren P. du Plessis, Focke Richard W.. Metrics to Evaluate Compression Algorithms for Raw SAR Data[C]∥ IET Radar, Sonar & Navigation, 10 October2018:2-15.
|
15 |
Attema E, Cafforio C, Gottwald M, et al. Flexible Dynamic Block Adaptive Quantization for Sentinel-1 SAR Missions[J]. IEEE Geoscience & Remote Sensing Letters, 2010, 7(4):766-770.
|
16 |
Shi Xiaojin. Study on Key Algorithms for Signal Processing in Spaceborne Interferometric SAR[D]. Beijing: National Space Science Center, Chinese Academy of Sciences.2009.[石晓进. 星载干涉合成孔径雷达信号处理若干问题研究[D].北京:中国科学院国家空间科学中心,2009.].
|
[1] |
. A New Direct Solution of Range-Doppler model for SAR Image Location[J]. , , (): 0
. |
[2] |
. An improved Hyperspectral Image Clasification Algorithm Based On Multinomial Logistic Regression[J]. Remote Sensing Technology and Application, 0, (): 0
. |
[3] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 13
-14
. |
[4] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 14
. |
[5] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 16
. |
[6] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 1
-7
. |
[7] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 8
-10
. |
[8] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 33
-34
. |
[9] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 35
-36
. |
[10] |
. [J]. Remote Sensing Technology and Application, 1986, 1(1): 46
-49
. |
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