Abstract
One of the exciting technologies used to meet the increasing demand for wireless communication services is a smart antenna. A smart antenna is basically confirmed by an array of antennas and a digital beamformer unit through which cellular base station can direct the beam toward the desired user and set nulls toward interfering users. In this paper, different array configurations (linear, circular, and planer) with the REDS algorithm are implemented in the digital beam-forming unit. The wireless system performance is investigated to check the smart antenna potentials assuming Rayleigh fading channel environment beside the AWGN channel. Results show how the REDS algorithm offers a significant improvement through antenna radiation pattern optimization, sidelobe level, and interference reduction, and also the RDES algorithm proves fast convergence with minimum MSE and better sidelobe level reduction comparing with other algorithms.
Highlights
Smart antennas (SA) were called adaptive arrays [1, 2]
The LA has excellent direct and narrowest main beam lobe in a wanted direction, but in all azimuthal directions it does not work well, a major drawback of the plannar array (PA) is the question of presence on the opposite side of an additional large lobe of the same strength [6] the symmetry of the circular arrays (CA) structure provides an obvious benefit since, it has no edge components, without a major change in the beamform, directional patterns synthesized with a CA can be rotated electronically in the array plane [7]
The renewal in this paper is the use of the RDES algorithm in different antenna array geometries, consideration the RDES algorithm's ability to operate under the effect of additive white Gaussian noise (AWGN) channel and Rayleigh fading environment
Summary
Smart antennas (SA) were called adaptive arrays [1, 2]. This term represents the capacity of the antenna to adjust to the condition of the communication channel in which it works. Other less square algorithms, such as recursive least squares (RLS), conjugate gradient (CG), will converge more and have a lower stable mean square error (MSE) than LMS [11] Their high computational complexity makes them inadequate for many real-time applications [12, 13]. (EDS) since it searches cyclically for the minimum along one Euclidean direction at a time [14, 15] These algorithms are investigated for decision feedback equalization in a mobile communication channel with additive noise and multipath. The result is analyzing by the RDES algorithm implemented by an EDS procedure to different array geometry and study the mathematical effect of array radiation pattern with applying AWGN and Rayleigh fading channels on interference suppression capability (null depth), mean square error (MSE), stability and convergence rate
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