Title :
FFT-based joint bearing estimation
Author :
MacInnes, Craig S.
Author_Institution :
Alameda El Espinel, Lima, Peru
fDate :
10/1/2002 12:00:00 AM
Abstract :
The least-squares estimate for the joint estimation of M directions-of-arrival in an array-processing scenario is rederived in a way that makes explicit use of the discrete Fourier transform. It is shown that the M-dimensional search algorithm can be made orders of magnitude faster than the traditional search algorithm. This new approach is compared via simulation with conventional narrowband beamforming.
Keywords :
array signal processing; direction-of-arrival estimation; discrete Fourier transforms; fast Fourier transforms; search problems; FFT-based joint bearing estimation; M-dimensional search algorithm; array-processing; discrete Fourier transform; fast Fourier transform; joint multiple-directions-of-arrival estimation; least-squares estimate; narrowband beamforming; simulation; Array signal processing; Direction of arrival estimation; Discrete Fourier transforms; Fast Fourier transforms; Frequency; Narrowband; Sensor arrays; Sonar equipment; Vectors; White noise;
Journal_Title :
Oceanic Engineering, IEEE Journal of
DOI :
10.1109/JOE.2002.806538
