电讯技术2026，Vol.66Issue(4)：681-689,9.DOI:10.20079/j.issn.1001-893x.240424004
一种嵌合互质阵列的离网水声信号方位估计方法
An Off-grid Hydroacoustic Signal Orientation Estimation Method for Chimeric Coprime Arrays
摘要
Abstract
For the problem that hydrophone coprime arrays cannot effectively exploit all array element information and the traditional algorithm's direction of arrival(DOA)estimation performance degrades under the influence of ocean noise,a method combining coprime array interpolation and signal subspace approximation combined with off-grid sparse Bayesian inference method is proposed.First,a coprime array is used to receive underwater acoustic signals,and the missing holes in the virtual domain are filled by interpolating virtual array elements.By minimizing the design of atomic norms and reconstructing the covariance matrix of the interpolated virtual array,all signals received by the array are information used for DOA estimation.Second,the received signal is reconstructed by the reconstructed covariance signal subspace,which effectively reduces the background noise interference.Finally,spatial sparsity is used to derive an off-lattice sparse representation model of the reconstructed signal,and Bayesian learning is used to compute the maximum posterior probability of the source signal to achieve target orientation estimation.Simulation shows that 12 source angles can be effectively estimated using sub-arrays with array elements of 7,and that DOA estimation can be performed accurately under low signal-to-noise ratio(SNR).When the SNR is-20 dB,the proposed algorithm improves the estimation performance by 46.89%compared with the ROOT Modified Multiple Signal Classification(ROOTMUSIC)algorithm under the coprime interpolation array.When the number of snapshots is 256,the proposed algorithm improves the estimation performance by 22.12%compared with the ROOTMUSIC algorithm under the coprime interpolation array.关键词
水声信号/DOA估计/内插阵元/互质阵列/子空间信号重构/离格稀疏贝叶斯推理Key words
hydroacoustic signal/DOA estimation/interpolation elements/coprime array/subspace signal reconstruction/off-grid sparse Bayesian inference分类
信息技术与安全科学引用本文复制引用
邢传玺,谈光枝,冉艳玲,卢茂,孟强..一种嵌合互质阵列的离网水声信号方位估计方法[J].电讯技术,2026,66(4):681-689,9.基金项目
国家自然科学基金资助项目(61761048) （61761048）
云南省基础研究专项面上项目(20210AT070132) （20210AT070132）
