شماره ركورد كنفرانس :
173
عنوان مقاله :
A Computationally Efficient Direction-of-Arrival Estimation Algorithm, Robust Against Coherent Sources and Small Sample Size
عنوان به زبان ديگر :
A Computationally Efficient Direction-of-Arrival Estimation Algorithm, Robust Against Coherent Sources and Small Sample Size
پديدآورندگان :
Rahmani mostafa نويسنده , Bastani Mohammad H. نويسنده , Shahraeeni sara نويسنده
كليدواژه :
Robust , Coherent sources , Arrival Estimation Algorithm
عنوان كنفرانس :
بيست و يكمين كنفرانس مهندسي برق ايران
چكيده فارسي :
Direction-of-arrival (DOA) estimation algorithms usually impose high computation burden and most of them are incapable of facing the coherent sources. In this paper, a newcomputationally efficient algorithm that is robust against the coherent sources is proposed. This method is based on acombination of the Maximum Likelihood (ML) and Orthogonal- Matching-Pursuit (OMP) algorithms. Simulation results show that the proposed algorithm has good performance in the small sample size cases and the coherency does not affect its performance
چكيده لاتين :
Direction-of-arrival (DOA) estimation algorithms usually impose high computation burden and most of them are incapable of facing the coherent sources. In this paper, a newcomputationally efficient algorithm that is robust against the coherent sources is proposed. This method is based on acombination of the Maximum Likelihood (ML) and Orthogonal- Matching-Pursuit (OMP) algorithms. Simulation results show that the proposed algorithm has good performance in the small sample size cases and the coherency does not affect its performance
شماره مدرك كنفرانس :
4474702
