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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28695

Title: 改良式多重目標物之追蹤演算法
Authors: 何昇運;吳承勳;洪賢昇;張順雄
Contributors: NTOU:Department of Electrical Engineering
Keywords: 訊號子空間;方位估測;投影近似子空間追蹤;近場;追蹤;多項式解根法;卡爾曼濾波器;角度預估
signal subspace;direction-of-arrival estimation;PAST;near-field;tracking;polynomial rooting;Kalman Filter;predict angle
Date: 2007-11
Issue Date: 2011-10-21T02:39:18Z
Publisher: 2007全國電信研討會, 台北科技大學
Abstract: Abstract:An adaptive MUSIC method (known as AMUSIC), based on subspace tracking and MUSIC, can be used for tracking multiple signal sources. However, when the signal sources are very close or even crossed, AMUSIC produces abnormally large errors in the angle estimation, thus leading to erroneous tracking results.
In order to overcome the aforementioned problem, we propose a improved adaptive tracking algorithm, known as KF-AMUSIC, for tracking near-field sources. This method uses angle estimates obtained from AMUSIC as input data for Kalman Filter, and determines a correspondence between angle estimates and signal sources in order to decide whether state estimates should be updated or not. Through the state estimation and prediction in KF, the proposed algorithm can improve the accuracy of angle estimate and tracking capability of signal sources.
URI: http://ntour.ntou.edu.tw/handle/987654321/28695
Appears in Collections:[電機工程學系] 演講及研討會

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