Low-Complexity Constrained Constant Modulus SG-based Beamforming Algorithms with Variable Step Size
Information Theory
2013-03-13 v1 math.IT
Abstract
In this paper, two low-complexity adaptive step size algorithms are investigated for blind adaptive beamforming. Both of them are used in a stochastic gradient (SG) algorithm, which employs the constrained constant modulus (CCM) criterion as the design approach. A brief analysis is given for illustrating their properties. Simulations are performed to compare the performances of the novel algorithms with other well-known methods. Results indicate that the proposed algorithms achieve superior performance, better convergence behavior and lower computational complexity in both stationary and non-stationary environments.
Keywords
Cite
@article{arxiv.1303.2720,
title = {Low-Complexity Constrained Constant Modulus SG-based Beamforming Algorithms with Variable Step Size},
author = {Lei Wang and Yunlong Cai and Rodrigo C. de Lamare},
journal= {arXiv preprint arXiv:1303.2720},
year = {2013}
}
Comments
3 figures, 1 table ICASSP 2008. arXiv admin note: substantial text overlap with arXiv:1303.1848