ON THE MUTUAL INFORMATION OF THE MOVING TARGETS IN UNDERWATER WIRELSS COMMUNICATION

In this paper, we analyze the mutual information of moving target in underwater wireless communication system by placing the acoustic sensor nodes at optimal location to achieve optimum mutual information.The performance of acoustic sensors nodes are observed and analyzed by placing the sensors in collaborative and parallel channel network system.Different numerical calculations and experimental observations for both network systems focusing on probability of error, entropy of message signal, information loss, bit error rate, cross correlation, and a minimum mean square error, are presented.The use of fundamental information theoretic tools in calculating the mutual information between input and the output of a channel has given an interesting insight and in order to find the channel capacity.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.18260/1-2-1153-49625
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

ON THE MUTUAL INFORMATION OF THE MOVING TARGETS IN UNDERWATER WIRELSS COMMUNICATION

Paul Cotae, Raju Shrestha
Underwater Vehicles and Communication Systems
article

ON THE MUTUAL INFORMATION OF THE MOVING TARGETS IN UNDERWATER WIRELSS COMMUNICATION

Paul Cotae, Raju Shrestha
article en

Abstract

In this paper, we analyze the mutual information of moving target in underwater wireless communication system by placing the acoustic sensor nodes at optimal location to achieve optimum mutual information.The performance of acoustic sensors nodes are observed and analyzed by placing the sensors in collaborative and parallel channel network system.Different numerical calculations and experimental observations for both network systems focusing on probability of error, entropy of message signal, information loss, bit error rate, cross correlation, and a minimum mean square error, are presented.The use of fundamental information theoretic tools in calculating the mutual information between input and the output of a channel has given an interesting insight and in order to find the channel capacity.

University of the District of Columbia (US)
U.S. Department of Defense
Life below water
Openalex Percentile: Top 68%
Underwater Vehicles and Communication Systems
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