Title :
Multiple cluster beamspace and resolution-enhanced ESPRIT
Author :
Hamza, Ridha ; Buckley, Kevin
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
fDate :
8/1/1994 12:00:00 AM
Abstract :
This paper addresses approaches to enhancement of the resolution of one or more clusters of closely spaced emitters. The TLS-ESPRIT algorithm is considered, as applied in beamspace and in element space, in conjunction with resolution enhancement. Beamspace (BS)-ESPRIT employs a matrix beamformer as a preprocessor to map the sensor space into a lower dimensional beamspace. Resolution enhanced (RE)ESPRIT employs a matrix beamformer as a left weighting of the signal subspace eigenvector matrix for enhancing the resolution of ESPRIT. This paper specifically discusses several types of these beamformer matrices, which differ in the way that they treat source clusters other than of interest. Our objective is to clearly define approaches and identify their relative merits, through discussion and illustrative simulation, so as to provide an understanding of how to proceed in designing an ESPRIT algorithm
Keywords :
array signal processing; eigenvalues and eigenfunctions; matrix algebra; parameter estimation; TLS-ESPRIT algorithm; beamformer matrices; beamspace; closely spaced emitters; left weighting; matrix beamformer; multiple cluster beamspace; preprocessor; resolution-enhanced ESPRIT; sensor space; signal subspace eigenvector matrix; simulation; source clusters; Algorithm design and analysis; Array signal processing; Clustering algorithms; Direction of arrival estimation; Filtering; Signal resolution; Spatial resolution;
Journal_Title :
Antennas and Propagation, IEEE Transactions on