Image fusion on radar sensor networks

Jing Liang; Qilian Liang

1st International ICST Workshop on Mobile Content Quality of Experience

Research Article

Image fusion on radar sensor networks

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1145/1577504.1577507,
    author={Jing Liang and Qilian Liang},
    title={Image fusion on radar sensor networks},
    proceedings={1st International ICST Workshop on Mobile Content Quality of Experience},
    publisher={ACM},
    proceedings_a={MOBCONQOE},
    year={2007},
    month={8},
    keywords={},
    doi={10.1145/1577504.1577507}
}

Jing Liang
Qilian Liang
Year: 2007
Image fusion on radar sensor networks
MOBCONQOE
ACM
DOI: 10.1145/1577504.1577507

Jing Liang¹^,*, Qilian Liang¹^,*

1: Department of Electrical Engineering University of Texas at Arlington 416 Yates Street Nedderman Hall, Rm 518 Arlington, TX 76019

*Contact email: liang@wcn.uta.edu, liang@uta.edu

Abstract

Owning to Rician fading and white gaussian noise, the scattered back image signal of radar sensors would be distorted to some extend. In this paper, we apply two schemes named Equal Gain Combination (EGC) and Maximal Ration Combination (MRC) respectively for RSN image fusion. Simulation results show that image fusion by means of MRC can provide much better image quality based on both minimum mean squared error (MMSE) and the mean of structural similarity (MSSIM) index if the channel estimation offers satisfying channel side information at receiver (CSIR). However, EGC itself does not require any channel estimation scheme and thus more simple to implement.

Published: 2007-08-17
Publisher: ACM
Modified: 2011-09-25

: http://dx.doi.org/10.1145/1577504.1577507

Image fusion on radar sensor networks

Abstract

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