Journal article
Shallow water channel estimation with energy efficient transmitted signal design
The Journal of the Acoustical Society of America, Vol.145(5), pp.2955-2970
05/2019
DOI: 10.1121/1.5097581
PMID: 31153306
Abstract
This paper proposes channel estimation using energy efficient transmission of signal dictionaries for shallow water acoustic communications. Specifically, the multi-columned structure of the channel delay spread is exploited to design partially sampled dictionary in a two-dimensional (2-D) frequency representation of the channel. The key contribution of this work is to achieve considerable energy saving in the transmission of complex exponential signals, designed specifically for real-time shallow water channel estimation at the receiver. This is accomplished by harnessing 2-D frequency localization with compressive transmission and modified-compressive sensing with prior information to exploit the sparse structure of the rapidly fluctuating shallow water acoustic channel in real time. The proposed technique reduces demands on transmitted signal energy by harnessing the reconstruction ability of sparse sensing while retaining key non-sparse channel elements that represent important multipath phenomena. Numerical evidence based on experimental channel estimates demonstrates the efficacy of the proposed work.
Details
- Title: Subtitle
- Shallow water channel estimation with energy efficient transmitted signal design
- Creators
- Naushad Ansari - Signal Processing (United States)Ananya Sen Gupta - University of IowaAnubha Gupta - Signal Processing (United States)
- Resource Type
- Journal article
- Publication Details
- The Journal of the Acoustical Society of America, Vol.145(5), pp.2955-2970
- DOI
- 10.1121/1.5097581
- PMID
- 31153306
- NLM abbreviation
- J Acoust Soc Am
- ISSN
- 0001-4966
- eISSN
- 1520-8524
- Publisher
- American Institute of Physics
- Grant note
- DOI: 10.13039/501100001412, name: Council of Scientific and Industrial Research; DOI: 10.13039/100000006, name: Office of Naval Research, award: N000141812081
- Language
- English
- Date published
- 05/2019
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197074202771
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