Title :
Reduced-dimension beam-space broad-band source localization: preprocessor design and evaluation
Author :
Xu, Xiao Liang ; Buckley, Kevin M.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
A beam-space processor structure is described that reduces the data from element-space to a reduced-dimension beam-space while focusing broadband sources that are within the selected location sector. The objective is principally to reduce the data observation dimension, thereby reducing computation in subsequent source location estimation and focusing sources within the sector. Additional advantages include: spatial filtering to eliminate multiple source cluster processing; improved spectral resolvability relative to element space processing; and reduced sensitivity to assumed noise characteristics
Keywords :
estimation theory; filtering and prediction theory; noise; spatial filters; spectral analysis; beam-space processor structure; broadband sources; data observation dimension; element space processing; element-space; location sector; multiple source cluster processing; noise characteristics; preprocessor design; reduced-dimension beam-space; sensitivity; source localisation; source location estimation; spatial filtering; spectral resolvability; Covariance matrix; Design methodology; Frequency estimation; Maximum likelihood estimation; Phase estimation; Phased arrays; Position measurement; Sensor arrays; Sensor systems; Signal processing;
Conference_Titel :
Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
Conference_Location :
Minneapolis, MN
DOI :
10.1109/SPECT.1988.206156
