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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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/96900 http://hdl.handle.net/10220/13080 |
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| Institution: | Nanyang Technological University |
| Language: | English |
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