中国海洋大学学报（自然科学版）2025，Vol.55Issue(10)：90-100,11.DOI:10.16441/j.cnki.hdxb.20240333
基于RDA的毫米波雷达近场成像优化算法研究
Research on Optimization of Imaging with Millimeter Wave Radar Under Near Field Conditions Based on RDA
摘要
Abstract
In recent years,millimeter-wave radar near-field imaging technology has been expanding in various application fields.Achieving precise and rapid imaging under near-field conditions has always been a research hotspot.The Range-Doppler Algorithm(RDA),proposed in the 1970s,continues to be widely used.However,its direct application for near-field imaging often yields unsatisfactory results.In near-field 3D imaging,the Range Migration Algorithm(RMA)is predominantly used,with limited re-search and experimental support for other imaging algorithms.This paper optimizes traditional RDA under near-field conditions,innovatively applying matched filtering to each range gate,adjusting azi-muthal filters with distance variations.Furthermore,this study extends the optimized 2D RDA to 3D imaging,introducing a 2D cross-correlation algorithm to effectively resolve range and azimuthal data misalignment caused by platform motion errors and height-induced range migration.Actual imaging ex-periments demonstrate that the optimized RDA algorithm yields superior 2D imaging results compared to traditional RDA,and with the introduction of the 2D cross-correlation algorithm,significant im-provements are observed in 3D imaging quality.The optimized 3D RDA proves more suitable for near-field 3D imaging compared to RMA.关键词
毫米波雷达/合成孔径/距离多普勒算法/近场成像/二维互相关算法Key words
millimeter wave radar/synthetic aperture/range-doppler algorithm(RDA)/near-field imaging/two-dimensional cross-correlation分类
信息技术与安全科学引用本文复制引用
胡影,张彦敏,王运华,李倩..基于RDA的毫米波雷达近场成像优化算法研究[J].中国海洋大学学报（自然科学版）,2025,55(10):90-100,11.基金项目
国家自然科学基金项目(42376176,41976167) （42376176,41976167）
山东省自然科学基金项目(ZR2021MD023) （ZR2021MD023）
航空科学基金项目(201720S0001) （201720S0001）
国家实验室项目-科技创新项目"观澜二号"(GL-2)地面系统(LSKJ202201302)资助 Supported by the National Natural Science Foundation of China(42376176,41976167) （GL-2）
the Natural Science Foundation of Shandong Province(ZR2021MD023) （ZR2021MD023）
the Aeronautical Science Foundation of China(201720S0001) （201720S0001）
the National Laboratory Project-Science and Technology Innovation Project"Guanlan 2"(GL-2)Ground System(LSKJ202201302) （GL-2）
