1st International ICST Workshop on Mobile Content Quality of Experience

Research Article

Image fusion on radar sensor networks

  • @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},
  • Jing Liang
    Qilian Liang
    Year: 2007
    Image fusion on radar sensor networks
    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


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.