摘要
Abstract
Direction of Arrival(DOA)estimation is a key technique in the field of array signal processing and has significant appli-cations in radar detection,wireless communication,and sonar perception.Traditional DOA estimation methods include parametric model-based,spatial filtering,and subspace-based approaches,each achieving high-precision DOA estimation through different means.This paper addresses the issue of DOA estimation for broadband signals by proposing a high-precision estimation method based on sparse reconstruction.The method constructs a reception model for broadband signals in an array system,exploits the sparsity characteristics of the signals in the spatial domain,and formulates the DOA estimation problem as a sparse optimization problem.Different dictionary matrices are constructed for signals at various frequencies,and an iterative algorithm is employed to solve the problem,achieving DOA estimation for broadband signals.Simulation results demonstrate that the proposed method out-performs existing algorithms under various signal-to-noise ratios,numbers of antennas,signal bandwidths,and snapshot counts,showing particularly prominent broadband characteristics.关键词
波达角估计/稀疏重构/宽带信号/阵列信号处理/压缩感知Key words
direction of arrival estimation/sparse reconstruction/broadband signal/array signal processing/compressed sensing分类
信息技术与安全科学
