DocumentCode :
3095664
Title :
Simultaneous sector processing via ROOT-MUSIC for large sensor arrays
Author :
Zoltowski, Michael ; Kautz, Gregory ; Silverstein, Seth
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
1990
fDate :
10-12 Oct. 1990
Firstpage :
372
Lastpage :
376
Abstract :
A viable means of implementing eigenstructure methods in very large array scenarios is to decompose the full angular spectrum into sub-bands via spatial filtering and to subsequently apply beamspace MUSIC to each sub-band. Despite the non-Vandermonde structure of the beamspace manifold vector, a computationally efficient scheme for implementing ROOT-MUSIC in beamspace is developed. The use of classical tapering schemes such as the Hanning and Hamming windows is incorporated as an option in beamspace ROOT-MUSIC for the purpose of combating the pejorative effects of strong out-of-band sources.<>
Keywords :
eigenvalues and eigenfunctions; signal processing; Hamming windows; Hanning windows; ROOT-MUSIC; beamspace MUSIC; classical tapering schemes; computationally efficient scheme; eigenstructure methods; large sensor arrays; simultaneous sector processing; spatial filtering; Array signal processing; Computational complexity; Eigenvalues and eigenfunctions; Filtering; Frequency; Multiple signal classification; Phased arrays; Polynomials; Search problems; Sensor arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
Type :
conf
DOI :
10.1109/SPECT.1990.205522
Filename :
205522
Link To Document :
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