Title :
Improving ESPRIT via beamforming
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fDate :
4/1/1992 12:00:00 AM
Abstract :
Beamforming techniques are presented that improve the performance of the ESPRIT (estimation of signal parameters via rotational invariance techniques) algorithm for solving the narrowband multiple source location problem with uniform linear arrays. Using ESPRIT with these beamforming approaches maintains the computational advantage of the original ESPRIT while further exploiting the special structure of uniform linear arrays. Simulation results show that the use of ESPRIT with beamforming yields significantly improved performance compared with the original ESPRIT
Keywords :
estimation theory; parameter estimation; signal detection; signal processing; ESPRIT; beamforming; estimation of signal parameters; narrowband multiple source location; rotational invariance; simulation; uniform linear arrays; Array signal processing; Direction of arrival estimation; Filters; Maximum likelihood estimation; Multiple signal classification; Narrowband; Parameter estimation; Sensor arrays; Signal processing algorithms; Vectors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on