2024-03-28T16:48:35Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/398262022-11-17T02:08:08Zhdl_2115_39595hdl_2115_39594hdl_2115_33096Exact Unconditional ML Estimation of DOASuzuki, MasakiyoChen, Haihuaopen access548APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Signal Processing Theory and Methods II (7 October 2009).This paper presents an exact formulation of Stochastic or Unconditional Maximum Likelihood (UML) estimation for directions-of-arrival (DOA) finding. In the previous formulation of UML estimation, an important condition is missing. That is the non-negative definiteness of the covariance matrix of signal components without additive noises. Because of the lack of the important condition, inadequate global solution appears in the solution space and global search fails to find adequate solution. We have derived an exact formulation including this important condition. Then the inadequate global solution disappears and global search finds adequate solution.Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee2009-10-04engconference paperVoRhttp://hdl.handle.net/2115/39826Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference876882APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議SapporoJPNhttps://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/39826/1/WA-L3-4.pdfapplication/pdf92.43 KB2009-10-04