The present direction of arrival (DOA) estimation methods in impulsive noise environment are mostly based on the fractional lower order statistics

which has huge computational complexity and poor performance at strong impulsive noise. By researching and analyzing the distribution of the impulsive noise

we propose a method based on the median value filtering utilizing the low probability and randomness of the impulse. And we present the Cramer-Rao bound (CRB) of angle estimation in the impulsive noise. The median value filtering method is applied to the array received data to eliminate the impulse noise

and the improved method is derived for DOA estimation in strong impulsive noise. Then

the common second-order moment method can be exploited to estimate the DOAs. Theoretical analysis and simulation results show that the proposed method has small computational load as well as excellent performance

and can improve the estimation performance at low signal to noise ratio and strong impulsive noise remarkably.