Image fusion on radar sensor networks

Authors:
Jing Liang;Qilian Liang
Affiliations:
University of Texas at Arlington, Nedderman Hall, Arlington, TX;University of Texas at Arlington, Nedderman Hall, Arlington, TX
Venue:
Welcome to Mobile Content Quality of Experience
Year:
2007

Citing 4
Cited 0

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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.