DIRECTION-OF-ARRIVAL ESTIMATION USING SIGNAL PROCESSING ON GRAPHS

被引：6

作者：

Alcantara, Eldridge ^{[1
]}

Atlas, Les ^{[1
]}

Abadi, Shima ^{[2
]}

机构：

[1] Univ Washington, Dept Elect & Comp Engn, Seattle, WA 98195 USA

[2] Univ Washington, Div Engn & Math, Bothell, WA USA

来源：

2021 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) | 2021年

关键词：

DOA estimation; graph signal processing;

D O I：

10.1109/SSP49050.2021.9513776

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we describe a new approach to single-snapshot direction-of-arrival (DOA) estimation using signal processing on graphs (SPG). Our approach uses SPG principles and tools to translate and generalize the conventional beamformer (CBF) on to a graph domain and give the CBF more processing flexibility. The benefits of this flexibility were analyzed through simulations of our method with inputs from different array sizes and sound source directions. We found that, depending on the choice of graph structure that our SPG-based method models and processes data on, we can produce outputs with more improved DOA estimation accuracy or outputs equivalent to conventional signal processing.

引用

页码：566 / 570

页数：5

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