Gradient Method for ML and Bearing Estimat Usinga Uniform Linear Arra
This paper proposes an efficient algorithm for direction-of-arrival (DOA) finding using a uniform linear array (ULA) of sensors based on Maximum Likelihood (ML) criterion and Weighted Subspace Fitting (WSF). The proposed algorithm is Newtons method using an exact Hessian matrix. In our formulation, the singular points in the parameter space of the ML and WSF criterion are removed. The exact Hessian matrix is evaluated efficiently by using the version of derivatives of the Trench algorithm. Finally simulation results are shown to demonstrate the validity of proposed algorithms.
DOA finding ULA Newtons method Trench algorithm
Tingting Teng Haihua Chen Ming Zhang Masakiyo Suzuki
Kitami Institute of Technology, Japan
国际会议
2006现代科技国际研讨会(The International Workshop on Modern Science and Technology in 2006)
北京
英文
403-409
2006-04-01(万方平台首次上网日期,不代表论文的发表时间)