A Consideration on Accuracy Improvement in DOA Estimation of Two Targets with Deep Learning

DOI 被引用文献1件 オープンアクセス

抄録

In our previous studies on on-grid direction of arrival estimation using deep learning, it was shown that the estimation sometimes fails when a signal arrives at an angle near the grid border. In this paper, we propose a method of combining two DNNs, of which grids are staggered, in order to avoid the above problem. Simulation results show that the proposed method improves the estimation accuracy of the signal on the grid border.

収録刊行物

  • IEICE Proceeding Series

    IEICE Proceeding Series 63 P1-3-, 2020-12-02

    The Institute of Electronics, Information and Communication Engineers

被引用文献 (1)*注記

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詳細情報 詳細情報について

  • CRID
    1390569148830190464
  • NII論文ID
    230000012494
  • DOI
    10.34385/proc.63.p1-3
  • ISSN
    21885079
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
    • KAKEN
    • Crossref
  • 抄録ライセンスフラグ
    使用不可

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