Multipath amplitude estimation based on Bayesian inference in a non-Gaussian environment

Ying Zhang, Kunde Yang, Zhixiong Lei

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Multipath amplitude estimation is addressed in this paper. However the received data is a mixture of real data and ocean noise which is complicated and is usually no longer follow Gaussian distribution or Laplacian distribution. To address this problem, an iterative algorithm based on Bayesian inference (BI) was proposed to estimate multipath amplitude with a zero-mean Gaussian mixture noise model (GMM). Numeric simulations illustrate the robustness and accuracy of the algorithm.

源语言英语
主期刊名2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781538616543
DOI
出版状态已出版 - 4 12月 2018
活动2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 - Kobe, 日本
期限: 28 5月 201831 5月 2018

出版系列

姓名2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

会议

会议2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
国家/地区日本
Kobe
时期28/05/1831/05/18

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