%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