{"title":"采用FPGA的高分辨率SAR信号处理系统","authors":"Rui Liu, Daiyin Zhu, Die Wang, Wanwan Du","doi":"10.23919/ACES48530.2019.9060594","DOIUrl":null,"url":null,"abstract":"The synthetic aperture radar signal processing system based on FPGA is designed and implemented in this paper. The Polar Format Algorithm (PFA) using the principle of chirp scaling (PCS) for range processing and Sinc interpolation for azimuth processing will achieve high precision results and increase speed significantly. The phase gradient autofocus and the geometric correction are also applied to estimate and compensate for the residual phase error accurately and realize wavefront curvature correction. The system is built on Virtex7-XC7VX690T evaluation board, it takes 2.1s to obtain 4K*2K complex-image in single precision, and the real data processing results verify the reliability and stability of the proposed system.","PeriodicalId":247909,"journal":{"name":"2019 International Applied Computational Electromagnetics Society Symposium - China (ACES)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"High resolution SAR signal processing system using FPGA\",\"authors\":\"Rui Liu, Daiyin Zhu, Die Wang, Wanwan Du\",\"doi\":\"10.23919/ACES48530.2019.9060594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The synthetic aperture radar signal processing system based on FPGA is designed and implemented in this paper. The Polar Format Algorithm (PFA) using the principle of chirp scaling (PCS) for range processing and Sinc interpolation for azimuth processing will achieve high precision results and increase speed significantly. The phase gradient autofocus and the geometric correction are also applied to estimate and compensate for the residual phase error accurately and realize wavefront curvature correction. The system is built on Virtex7-XC7VX690T evaluation board, it takes 2.1s to obtain 4K*2K complex-image in single precision, and the real data processing results verify the reliability and stability of the proposed system.\",\"PeriodicalId\":247909,\"journal\":{\"name\":\"2019 International Applied Computational Electromagnetics Society Symposium - China (ACES)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Applied Computational Electromagnetics Society Symposium - China (ACES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACES48530.2019.9060594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Applied Computational Electromagnetics Society Symposium - China (ACES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACES48530.2019.9060594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
本文设计并实现了基于FPGA的合成孔径雷达信号处理系统。利用啁啾缩放(PCS)原理进行距离处理和Sinc插值进行方位角处理的极坐标格式算法(Polar Format Algorithm, PFA)可以获得高精度结果并显著提高速度。采用相位梯度自动对焦和几何校正技术对残差进行精确估计和补偿,实现波前曲率校正。系统建立在Virtex7-XC7VX690T评估板上,单精度获得4K*2K复杂图像需要2.1s,实际数据处理结果验证了系统的可靠性和稳定性。
High resolution SAR signal processing system using FPGA
The synthetic aperture radar signal processing system based on FPGA is designed and implemented in this paper. The Polar Format Algorithm (PFA) using the principle of chirp scaling (PCS) for range processing and Sinc interpolation for azimuth processing will achieve high precision results and increase speed significantly. The phase gradient autofocus and the geometric correction are also applied to estimate and compensate for the residual phase error accurately and realize wavefront curvature correction. The system is built on Virtex7-XC7VX690T evaluation board, it takes 2.1s to obtain 4K*2K complex-image in single precision, and the real data processing results verify the reliability and stability of the proposed system.