Title :
Improved LMS algorithm for adaptive beamforming
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
10/1/1990 12:00:00 AM
Abstract :
Two adaptive algorithms which make use of all the available samples to estimate the required gradient are proposed and studied. The first algorithm is referred to as the recursive LMS (least mean squares) and is applicable for a general array. The second algorithm is referred to as the improved LMS algorithm and exploits the Toeplitz structure of the array correlation matrix and can be used only for an equispaced linear array
Keywords :
antenna arrays; correlation methods; least squares approximations; signal processing; LMS; Toeplitz structure; adaptive algorithms; adaptive beamforming; antenna arrays; array correlation matrix; array processing; equispaced linear array; gradient estimation; improved least mean squares; recursive least mean squares; Adaptive algorithm; Adaptive arrays; Algorithm design and analysis; Array signal processing; Geometry; Helium; Least squares approximation; Least squares methods; Power measurement; Weight measurement;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
