Multipath Amplitude Estimation Based on Bayesian Inference in a Non-Gaussian Environment

被引：0
|
作者：
Zhang, Ying [1 ,2 ]
Yang, Kunde [1 ,2 ]
Lei, Zhixiong [3 ]
机构：
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian, Shaanxi, Peoples R China
[2] Minist Ind & Informat Technol, Key Lab Ocean Acoust & Sensing, Xian, Shaanxi, Peoples R China
[3] CETC Key Lab Avion Informat Syst Technol, Chengdu, Sichuan, Peoples R China
来源：
2018 OCEANS - MTS/IEEE KOBE TECHNO-OCEANS (OTO) | 2018年
关键词：
Multipath amplitude estimation; Gaussian mixture noise model; Bayesian inference;
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
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.
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页数：4
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