Direction of arrival estimation for multiple source signals using independent component analysis

被引：39
|
作者：
Sawada, H [1 ]
Mukai, R [1 ]
Makino, S [1 ]
机构：
[1] NTT Corp, NTT Commun Sci Labs, Kyoto 6190237, Japan
来源：
SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 2, PROCEEDINGS | 2003年
关键词：
D O I：
10.1109/ISSPA.2003.1224901
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new method for estimating the directions of source signals. We assume a situation in which multiple source signals are mixed in a reverberant condition and observed at several sensors. The new method is based on independent component analysis, which separates mixed signals into original source signals. It can be applied where the number of sources is equal to the number of sensors, whereas the conventional methods based on sub-space analysis, such as the MUSIC algorithm, are applicable where there are fewer sources than sensors. Even in cases where the MUSIC algorithm can be applied, the new method is better at estimating the directions of sources if they are closely placed.
引用
收藏
页码：411 / 414
页数：4
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