An optimal importance sampling based particle filtering for channel parameter estimation in shallow ocean

An optimal importance sampling based particle filtering for channel parameter estimation in shallow ocean

Estimating channel parameters in a shallow ocean environment is challenging due to low signal-to-noise ratio (SNR), multi-path effect and time-varying nature of ocean. In this paper, a Bayesian framework and its particle filtering (PF) implementation are introduced to cope with this problem. At each...

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書目詳細資料
Main Authors:	Hari, V. N., Premkumar, A. B., Zhong, Xionghu
其他作者:	School of Computer Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2013
在線閱讀:	https://hdl.handle.net/10356/96900 http://hdl.handle.net/10220/13080
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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