无线电工程2025，Vol.55Issue(2)：221-229,9.DOI:10.3969/j.issn.1003-3106.2025.02.001
基于离格Turbo变分贝叶斯宽带信号到达角估计
Wideband DOA Estimation for Off-grid Sources Using the Turbo-VBI Algorithm
摘要
Abstract
Compared to traditional uniform linear arrays,nested arrays can achieve a larger array aperture and offer richer degrees of freedom with the same number of physical antennas.In wideband signal applications for nested arrays,to address the problem in traditional Sparse Bayesian Learning(SBL)where the actual Direction of Arrival(DOA)angles may not exactly fall on the discretized grid,an Off-Grid(OG)Turbo Variational Bayesian Interference(VBI)algorithm is proposed.By using band-pass filter banks or Discrete Fourier Transform(DFT),the wideband signal is decomposed into multiple narrowband signals.The angular domain sparsity of each subband can be modeled as a complex Gaussian distribution,allowing OG high-resolution DOA estimation within the variational Bayesian framework.Simulations demonstrate that,compared to other compressed sensing algorithms,the proposed method has the advantages of high accuracy and fast convergence.Moreover,the algorithm can precisely estimate DOA even with a small number of snapshots or a single snapshot,indicating its high robustness.关键词
稀疏贝叶斯算法/嵌套阵列/来波方向估计/压缩感知Key words
SBL algorithm/nested array/DOA estimation/compressed sensing分类
信息技术与安全科学引用本文复制引用
瞿扬,杨竞舟,李大鹏..基于离格Turbo变分贝叶斯宽带信号到达角估计[J].无线电工程,2025,55(2):221-229,9.基金项目
国家自然科学基金(62371245)National Natural Science Foundation of China(62371245) （62371245）
