Error Evaluation of BAQ Algorithm for Internal Calibration Data of Spaceborne SAR

BAQ is the efficient algorithm for SAR echoes data compression that has the Gauss distribution. Internal calibration is the important system resource, which is to calibrate the system gain change before and after the imaging and also provide more accurate reference function for the range compression...

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Bibliographic Details
Published in2006 IEEE International Symposium on Geoscience and Remote Sensing pp. 794 - 797
Main Authors Xiao-Bing Ma, Zhen-Yong Guo, Wei-Dong Yu, Ping Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2006
Subjects
Bandwidth
Calibration
Data compression
Gain measurement
Noise measurement
Phase estimation
Phase measurement
Power measurement
Pulse measurements
Quantization
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Summary:BAQ is the efficient algorithm for SAR echoes data compression that has the Gauss distribution. Internal calibration is the important system resource, which is to calibrate the system gain change before and after the imaging and also provide more accurate reference function for the range compression. But the echoes are different from calibration data. This paper discussed whether the error brought by BAQ compression algorithm could be accepted by this system. Both the theoretical simulation and the experimental results indicate that the internal calibration data only can be directly transmitted but not compressed, which has the important reference to engineering design.
ISBN:0780395107
9780780395107
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2006.204