雷达科学与技术2026，Vol.24Issue(3)：308-319,12.DOI:10.3969/j.issn.1672-2337.2026.03.008
一种稳健的互质空间步进频雷达参数估计方法
A Robust Parameter Estimation Method for Coprime Spatial Stepped-Frequency Radar
摘要
Abstract
The coprime spatial stepped-frequency radar effectively enhances both the angular and range resolution by constructing a virtual aperture and synthesizing an equivalent large bandwidth.However,conventional methods that vectorize the sample covariance matrix to obtain virtual array data will distort the inherent structure of the received sig-nal across the transmit-receive-snapshot dimensions,leading to information loss.Although the method based on parallel factor decomposition(PARAFAC)preserve the three-dimensional structure of the signal,its decomposition errors are amplified during the subsequent coprime array virtualization,which negatively impacting the parameter estimation per-formance.To address this issue,this paper proposes a robust parameter estimation method based on Hankel matrix re-construction.Firstly,a third-order tensor model of the received signal is constructed,and the snapshot-dimensional low-rank approximation is introduced to reduce the computational complexity.Then,to mitigate the amplification of ten-sor decomposition errors,the estimated virtual steering vectors are reconstructed into Hankel matrices and refined via truncated singular value decomposition(TSVD),effectively correcting estimation bias.Simulation results demonstrate that,under low signal-to-noise ratio and small snapshot conditions,the proposed method outperforms 2D-SSMUSIC,PARAFAC,and HOSVD-RDMUSIC algorithms in terms of estimation accuracy and robustness,while significantly re-ducing the computational complexity.关键词
互质空间步进频雷达/平行因子分解/Hankel矩阵重构/截断奇异值分解/误差抑制Key words
coprime spatial stepped-frequency radar/parallel factor decomposition(PARAFAC)/Hankel matrix reconstruction/truncated singular value decomposition(TSVD)/error mitigation分类
信息技术与安全科学引用本文复制引用
贺顺,李梦瑶,杨志伟..一种稳健的互质空间步进频雷达参数估计方法[J].雷达科学与技术,2026,24(3):308-319,12.基金项目
国家自然科学基金(62271386) （62271386）
