Fast DOA estimation in an impulsive noise environment
Shu Zhang · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2008
At present,there are some robust algorithms suitable for estimation of direction of arrival(DOA) in noisy environment,but they need too much computational time.To conquer this problem,we proposed a new approach,referred to as fractional low-order moment(FLOM) algorithm,to conduct the DOA estimation under impulsive noise environment,whereby the signal subspace of C was directly constructed and refreshed using the data from the fractional low-order matrix.It is shown by theoretical analysis that,since the new algorithm does not need the eigen-decomposition with a computational load of O(q3) where q is the number of antenna array elements,the computation load of the proposed algorithm is O(Mq2),where M is the number of the signals.So the new algorithm requires much less computational time and can estimate DOA much faster than other algorithms.Computer simulations showed that,when the times for renewing the subspace is not less than 2,the DOA estimation performance of the proposed algorithm is approximately identical to that of other algorithms available.