海军航空大学学报2026，Vol.41Issue(3)：565-573,582,10.DOI:10.7682/j.issn.2097-1427.2026.03.014
基于QR分解的双天线快速探测方法
Dual-Antenna Fast Detection Method Based on QR Decomposition
摘要
Abstract
To address the limitations of conventional time-reversal Multiple Signal Classification(MUSIC)algorithms,including dependency on large-scale antenna arrays,high computational complexity,and poor real-time performance,a QR common-offset space-frequency(QR-CSF)imaging algorithm based on iterative QR decomposition is proposed.The method establishes a space-frequency multistate response matrix through a co-offset measurement architecture,en-abling time-reversal operator acquisition with only a dual-antenna configuration,thereby significantly reducing system complexity.Simultaneously,iterative QR decomposition is employed to solve the noise subspace,reducing the core al-gorithmic complexity from superlinear to sublinear order and effectively enhancing computational efficiency.Experi-mental results demonstrate that the QR-CSF algorithm achieves precise target localization in multi-target scenarios,with spatial response intensity distributions closely matching target physical properties.While improving imaging resolution,it compresses computation time to 15%of conventional MUSIC methods,achieving a significant improvement in imag-ing efficiency关键词
时间反转/多重信号分类算法/迭代QR分解Key words
time reversal/multiple signal classification algorithm/iterative QR decomposition分类
信息技术与安全科学引用本文复制引用
张乐乐,苏甜甜,周远国..基于QR分解的双天线快速探测方法[J].海军航空大学学报,2026,41(3):565-573,582,10.基金项目
国家自然科学基金(92166107) （92166107）
陕西省自然科学基金(2024JC-YBMS-556) （2024JC-YBMS-556）
