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Author Cao, Xiang ♦ Xin, Jingmin ♦ Nishio, Yoshifumi ♦ Zheng, Nanning
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Technology ♦ Medicine & health
Abstract In this paper, the problem of spatial signature estimation using a uniform linear array (ULA) with unknown sensor gain and phase errors is considered. As is well known, the directions-of-arrival (DOAs) can only be determined within an unknown rotational angle in this array model. However, the phase ambiguity has no impact on the identification of the spatial signature. Two auto-calibration methods are presented for spatial signature estimation. In our methods, the rotational DOAs and model error parameters are firstly obtained, and the spatial signature is subsequently calculated. The first method extracts two subarrays from the ULA to construct an estimator, and the elements of the array can be used several times in one subarray. The other fully exploits multiple invariances in the interior of the sensor array, and a multidimensional nonlinear problem is formulated. A Gauss-Newton iterative algorithm is applied for solving it. The first method can provide excellent initial inputs for the second one. The effectiveness of the proposed algorithms is demonstrated by several simulation results.
Description Country affiliation: China
Author Affiliation: Cao X ( Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China. cao.xiang@stu.xjtu.edu.cn.); Xin J ( Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China. jxin@mail.xjtu.edu.cn.); Nishio Y ( Department of Electrical and Electronic Engineering, Tokushima University, Tokushima 770-8506, Japan. nishio@ee.tokushima-u.ac.jp.); Zheng N ( Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China. nnzheng@mail.xjtu.edu.cn.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-06-12
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 15
Issue Number 6


Source: WHO-Global Index Medicus