Experimental study of the performance of handset adaptive array antennas in the vicinity of a human operator

Abstract

The purpose of this study is to investigate experimentally the performance of adaptive array antennas in mobile handset terminals using the RLS algorithm as the minimum mean square error (MMSE) in the 2 GHz band. Particular emphasis is placed on how well handset AAA works in a practical environment, where the user's body has an influence on performance. In this paper, two types of dual-element AAA model have been derived, Model A which is a simple model, and Model B which is a more realistic model. In Model A, for the basic study, the array is comprised of two dipole antennas placed close to a cylinder shape phantom. In Model B, for the more practical study, the array is comprised of quarter-wavelength monopole antenna and a planar inverted-F antenna (PIFA), and is placed close to a realistically shaped human phantom. By estimating the correlation between the bit error rate (BER) and the received pattern of the antenna, we describe how a significant enhancement in the ability to reduce interference signals can be achieved, even when the handset is used in proximity to a human operator in a talk situation