Author :
Zhi Tian ; Van Trees, Harry L.
Author_Institution :
Center of Excellence, George Mason Univ., Fairfax, VA, USA
Abstract :
The iterative quadratic maximum likelihood (IQML) is an efficient approach for estimating the directions of arrival (DOA) of signals impinging on a uniform linear array. It is desirable to apply the IQML method in beamspace so as to take advantage of the benefits of beamspace operations in terms of reduced computational complexity and improved resolution thresholds. The difficulty with beamspace IQML is that the Vandermonde structure of the array manifold may not preserve during the beamspace transformation. We tackle this obstacle using discrete Fourier transform (DFT) beams and derive a parameterized polynomial in the beamspace dimension. The proposed beamspace IQML algorithm is computationally efficient, and provides satisfactory estimation results
Keywords :
array signal processing; computational complexity; direction-of-arrival estimation; discrete Fourier transforms; iterative methods; matrix algebra; maximum likelihood estimation; DFT beams; DFT matrix beamformers; DOA estimation; IQML method; Vandermonde structure; array manifold; beamspace IQML algorithm; beamspace dimension; beamspace transformation; computationally efficient algorithm; directions of arrival estimation; discrete Fourier transform; improved resolution thresholds; iterative quadratic maximum likelihood; parameterized polynomial; reduced computational complexity; uniform linear array; Computational complexity; Direction of arrival estimation; Discrete Fourier transforms; Iterative methods; Maximum likelihood estimation; Multiple signal classification; Polynomials; Sensor arrays; Signal resolution; Vectors;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6339-6
DOI :
10.1109/SAM.2000.878030
