Efficient payload communications for IoT-enabled ViSAR vehicles using discrete cosine transform-based quasi-sparse bit injection

High-performance remote sensing payload communication is a vital problem in air-borne and space-borne surveillance systems. Among different remote sensing imaging systems, video synthetic aperture radar (ViSAR) is a new technology with lots of principal and managerial data which should be compressed...

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Bibliographic Details
Published in:EURASIP journal on wireless communications and networking Vol. 2019; no. 1; pp. 1 - 10
Main Authors: Khosravi, Mohammad R., Samadi, Sadegh
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 29.11.2019
Springer Nature B.V
SpringerOpen
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ISSN:1687-1499, 1687-1472, 1687-1499
Online Access:Get full text
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Summary:High-performance remote sensing payload communication is a vital problem in air-borne and space-borne surveillance systems. Among different remote sensing imaging systems, video synthetic aperture radar (ViSAR) is a new technology with lots of principal and managerial data which should be compressed, aggregated, and communicated from a radar platform (or a network of radars) to a ground station through wireless links. In this paper, a new data aggregation technique is proposed towards efficient payload transmission in a network of aerial ViSAR vehicles. Our proposed method is a combination of a recent interpolation-based data hiding (IBDH) technique and visual data transformation process using discrete cosine transform (DCT) which is able to outperform the reference method in terms of data aggregation ability.
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ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-019-1572-4