Title :
Adaptive structured eigenvector methods
Author :
Orfanidis, Sophocles
Author_Institution :
Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
Abstract :
An adaptive eigenstructure method for angle-of-arrival estimation is presented. This method consists of applying subspace iteration to a special structured basis of the signal or noise subspace. At each iteration, the method eliminates the spurious zeros associated with the degeneracy of the noise subspace and provides estimates of the zeros containing the desired angle-of-arrival information. Thus, it is well-suited for tracking nonstationary sources. The method is the adaptive version of the reduced MUSIC block processing method
Keywords :
eigenvalues and eigenfunctions; estimation theory; iterative methods; signal detection; spectral analysis; tracking; adaptive eigenstructure method; adaptive version; angle-of-arrival estimation; angle-of-arrival information; iteration; noise subspace; nonstationary sources; reduced MUSIC block processing method; subspace iteration; tracking; Convergence; Covariance matrix; Delay; Hoses; Multiple signal classification; Narrowband; Performance analysis; Polynomials; Power measurement; Sensor arrays;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116178
