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University of New Orleans

An Underwater Channel Model and Chirp Slope Keying Modulation Scheme Performance

Abstract

dc:description.abstract

Chirp-Slope Keying (CSK) is a new and innovative digital modulation scheme for underwater data transmission. The underwater environment brings up several challenges to the manufacturing and operation of communication systems. This thesis shows through analysis and simulations the effectiveness of Chirp-Slope Keying (CSK) in providing a satisfying performance in underwater communication. The experiment consists of modulating a chirp slope by binary numbers (representing our data). '0' is represented by a linear- down chirp and '1' is represented by a linear-up chirp. The received data is first processed by a correlator receiver. Then, the detection of either binary symbol is obtained by the comparison to a threshold. Simulation results for numerous signal-to-noise ratios show that CSK provides satisfying performance for underwater data transmission. The Mississippi gulf coast shallow water Data collected from the National Oceanic and Atmospheric Administration (NOAA), (see appendix), allow us to accurately generate a laboratory model for the channel of interest.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Electrical Engineering
Year
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zoh, Brice
Contributors dc:contributor
  • Bourgeois, Edit
  • Charalampidis, Dimitrios
  • Jilkov, Vesselin

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uno.edu/td/1263
OAI identifier oai:identifier
oai:scholarworks.uno.edu:td-2246

Chain of custody

source
Harvested from
University of New Orleans
Base URL
scholarworks.uno.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Zoh, Brice. An Underwater Channel Model and Chirp Slope Keying Modulation Scheme Performance. Thesis thesis, 2010. https://scholarworks.uno.edu/td/1263