Gradient Method for ML and Bearing Estimat Usinga Uniform Linear Arra

摘要：

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.

关键词： DOA finding ULA Newtons method Trench algorithm

作者: Tingting Teng Haihua Chen Ming Zhang Masakiyo Suzuki

作者单位: Kitami Institute of Technology, Japan

会议类型: 国际会议

会议名称: 2006现代科技国际研讨会(The International Workshop on Modern Science and Technology in 2006)

会议地点: 北京

会议语种:英文

页码: 403-409

在线出版日期: 2006-04-01（万方平台首次上网日期，不代表论文的发表时间）