现代雷达2026,Vol.48Issue(5):31-39,9.DOI:10.16592/j.cnki.1004-7859.20241104001
基于FPGA的干涉成像高度计在轨多视处理设计
Design of On-orbit Multi-look Processor for Interferometric Imaging Radar Altimeter Based on FPGA
金潇 1石晓进 1张云华1
作者信息
- 1. 中国科学院国家空间科学中心中国科学院微波遥感技术重点实验室,北京 100190||中国科学院大学电子电气与通信工程学院,北京 100049
- 折叠
摘要
Abstract
In order to carry out wide-swath measurements of sea surface height globally,interferometric imaging radar altimeters op-erate in an all-time mode,generating a massive amount of raw data that require high-precision compression through on-orbit data procession and muti-look averaging.Due to the impact of drastic variation in ground range resolution of interferometric imaging al-timeters,the conventional uniform window multi-look schemes suffer from significant errors.Although the existing non-uniform win-dow multi-look schemes can address the error issue,it is hard to achieve a pipelined architecture of field programmable gate arrays(FPGA),resulting in high time delay and large resource consumption.To this end,a FPGA-based interpolated multi-look proces-sor(IMLP)is proposed in the paper,which achieves pipelined multi-look processing by using an interpolated and weighted aver-age multi-look processing method and combining it with FPGA design schemes such as non-uniform linear interpolators and multi-channel parallel processing.Verification based on the measured data from the Tiangong-2 interferometric imaging radar altimeter demonstrates that IMLP significantly reduces the error of sea surface height measurement,compared with traditional uniform win-dow multi-look processing;meanwhile,it reduces logical resource consumption by about 20%,computation and storage resource consumption by around 40%,and time latency by 27.45%,compared with existing non-uniform window multi-look schemes.关键词
干涉成像高度计/现场可编程逻辑门阵列/在轨处理/多视处理Key words
interferometric imaging radar altimeter/field programmable gate array(FPGA)/on-orbit processing/multi-look pro-cessing分类
信息技术与安全科学引用本文复制引用
金潇,石晓进,张云华..基于FPGA的干涉成像高度计在轨多视处理设计[J].现代雷达,2026,48(5):31-39,9.