In　order　to　solve　the　problem　that　the　Direction　of　Arrival　(DOA)　estimation　of　one-dimensional　wideband　signal　needs　angle　estimation,　a　DOA　estimation　algorithm　without　angle　estimation　is　designed　on　the　basis　of　bilateral　correlation　transform　algorithm.　Firstly,　the　wideband　signal　is　decomposed　into　several　narrow-band　data　models　at　different　frequency　points　by　using　Discrete　Fourier　Transform　(DFT).　Secondly,　the　narrow-band　data　at　different　frequency　points　are　focused　on　the　same　reference　frequency　point　by　the　improved　focusing　matrix,　thus,　the　narrow-band　signal　model　at　a　single　frequency　point　is　obtained.　Finally,　the　improved　array　covariance　matrix　sparse　iterative　estimation　algorithm　is　used　to　solve　the　problem.　Theoretical　research　shows　that　the　proposed　method　has　higher　estimation　accuracy　and　resolution　than　the　traditional　algorithm　under　the　condition　of　low　SNR　and　multiple　snapshots,　and　the　computational　complexity　of　the　algorithm　is　effectively　reduced　by　combining　with　compressed　sensing　theory.　The　simulation　results　verify　the　reliability　of　the　above　conclusions.　©　2021,　Jilin　University　Press.　All　right　reserved.