@inproceedings{15b7a18c373644579b1d8e60a58d5e30,
title = "Design and implementation of the fixed-point BAQ decompression algorithm based on FPGA",
abstract = "As space-borne SAR (Synthetic Aperture Radar) echo data received by the stationary ground equipment through feedback channel have been compressed based on the BAQ (Block Adaptive Quantization) compression algorithm, in the reverse process, decompression should be implemented beforehand. Based on the fact that quantization loss is inevitable, we introduce an improved method, the fixed-point BAQ decompression algorithm and we implement it in XILINX Virtex5 XC5VLX110T FPGA. It proves that SAR echo data can be restored correctly without making sacrifices to the resource utilization, and the whole system can work stably at high clock frequency.",
keywords = "BAQ, FPGA, SAR",
author = "Wen Li and Liang Chen and Cheng, {Xiao Qing}",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; International Conference on Information Technology and Computer Application Engineering, ITCAE 2014 ; Conference date: 11-08-2014 Through 12-08-2014",
year = "2015",
doi = "10.1201/b18658-7",
language = "English",
isbn = "9781138027176",
series = "Information, Computer and Application Engineering - Proceedings of the International Conference on Information Technology and Computer Application Engineering, ITCAE 2014",
publisher = "CRC Press/Balkema",
pages = "21--26",
editor = "Hsiang-Chuan Liu and Wen-Pei Sung and Wenli Yao",
booktitle = "Information, Computer and Application Engineering - Proceedings of the International Conference on Information Technology and Computer Application Engineering, ITCAE 2014",
}