Title :
Statistical Analysis of Steepest Descend and LMS Detection Algorithms for MIMO Systems
Author :
Zanella, Alberto ; Chiani, Marco ; Win, Moe Z.
Author_Institution :
Nat. Res. Council of Italy, Comput. & Telecommun. Eng., Bologna, Italy
Abstract :
We study the performance of steepest descent (SD) and least mean square (LMS) algorithms applied to linear detection for multiple-input multiple-output (MIMO) systems in a correlated Rayleigh fading environment. By using random matrix theory, we first study stability for a fixed step size parameter. Then, we consider two always-stable channel-adaptive strategies for the choice of the step size and analytically evaluate their performance. Finally, we derive bounds on the mean value of misadjustment for the LMS algorithm.
Keywords :
MIMO communication; least mean squares methods; statistical analysis; LMS detection algorithm; MIMO system; Rayleigh fading environment; channel-adaptive strategy; least mean square algorithm; linear detection; multiple-input multiple-output system; random matrix theory; statistical analysis; steepest descend; steepest descent; Eigenvalues and eigenfunctions; Fading channels; Least squares approximation; MIMO; Receiving antennas; Signal to noise ratio; Least square mean (LMS) algorithm; Wishart matrices; multiple-input multiple-output (MIMO); steepest descent (SD) algorithm;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2011.2170185
