Title :
A least-squares approach to joint diagonalization
Author :
Wax, Mati ; Sheinvald, Jacob
Author_Institution :
RAFAEL, Haifa, Israel
Abstract :
We present a new least-squares-based approach for the joint diagonalization problem arising in blind beamforming. The resulting estimation criterion turns out to coincide with that proposed by Cardoso and Souloumaic (see IEE Proc. F, Radar Signal Process., vol.140, no.6, p.362-70, Dec. 1993) on intuitive grounds, thus establishing the optimality of their criterion in the least-squares (LS) sense.
Keywords :
array signal processing; higher order statistics; least squares approximations; matrix algebra; parameter estimation; array processing; blind beamforming; cumulant matrices; estimation criterion; joint diagonalization; least-squares approach; optimality; Array signal processing; Gaussian noise; Higher order statistics; Jacobian matrices; Least squares approximation; Random processes; Yield estimation;
Journal_Title :
Signal Processing Letters, IEEE
