| 大会名称 |
| 2017年 総合大会 |
| 大会コ－ド |
| 2017G |
| 開催年 |
|
2017
|
| 発行日 |
|
|
| セッション番号 |
|
B-1C
|
| セッション名 |
|
アンテナ・伝播C
|
| 講演日 |
|
2017/3/22
|
| 講演場所(会議室等) |
|
共通講義棟北 N322
|
| 講演番号 |
|
B-1-129
|
| タイトル |
|
Sparse Signal Reconstruction based Underdetermined Direction of Arrival Estimation
|
| 著者名 |
|
◎Thomas Basikolo, Koichi Ichige, Hiroyuki Arai,
|
| キーワード |
|
DOA Estimation, l1-based method, Sparse Signal Reconstruction
|
| 抄録 |
|
In the last decade, there has been a growing interest inalgorithms that exploit sparsity present in various signalsand systems for adaptive signal processing. In this paper,we propose a novel non-uniform sparse circular array. Sparse arrays with circular configuration have received little attention although they have moreadvantages as compared to their linear counterparts. Theproposed array is capable of underdetermined DOAestimation by utilizing a sparsity-aware technique with ℓ1penalization.
|
| 本文pdf |
|
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|
