%0 Journal Article %A Nga-Viet Nguyen and Georgy Shevlyakov and Vladimir Shin %D 2010 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 46, 2010 %T Alternative to M-Estimates in Multisensor Data Fusion %U https://publications.waset.org/pdf/7839 %V 46 %X To solve the problem of multisensor data fusion under non-Gaussian channel noise. The advanced M-estimates are known to be robust solution while trading off some accuracy. In order to improve the estimation accuracy while still maintaining the equivalent robustness, a two-stage robust fusion algorithm is proposed using preliminary rejection of outliers then an optimal linear fusion. The numerical experiments show that the proposed algorithm is equivalent to the M-estimates in the case of uncorrelated local estimates and significantly outperforms the M-estimates when local estimates are correlated. %P 1623 - 1627