Y. Chen, T. Le-Ngoc, and B. Champagne (Canada)
Beamforming, Constant Modulus (CM), Recursive Least Squares (RLS), Adaptive Array.
An approximation for the constant modulus (CM) cost
function is proposed to allow the use of the fast recursive
least squares (RLS) algorithm. Simulations are performed
to compare the performance of the introduced RLS-CM
and stochastic gradient descent (SGD) algorithms for
blind adaptive beamforming. Results indicate that the
introduced RLS-CM has faster convergence speed and
good tracking ability.