Uniform circular and rectangular arrays for adaptive beamforming applications

White noise reduction for wideband beamforming based on uniform rectangular arrays

“…Here we extend this idea to the case of uniform rectangular arrays (URAs) [5], [6], [7]. As a result, the transformation matrix has to be re-designed to adjust the noise reduction method to the structure of URAs.…”

PSO-Based Real-Time Control of Planar Uniform Circular Arrays

“…As a matter of fact, a large set of control strategies have been evaluated especially dealing with linear and rectangular arrays, but the use of different topologies could enhance the well known potentialities of control methods. For instance, uniform circular arrays (UCA) allow the electronic steering of the main lobe towards the direction of the desired signal without penalizing the beam pattern shape in other directions [4]. Moreover, adaptive hybrid structures as the planar UCA (PUCA) profitably exploit the potentialities of rejecting jamming signals with the ability to scan a beam azimuthally through the whole angular range maintaining either the beamwidth or the side lobe level.…”

“…Moreover, adaptive hybrid structures as the planar UCA (PUCA) profitably exploit the potentialities of rejecting jamming signals with the ability to scan a beam azimuthally through the whole angular range maintaining either the beamwidth or the side lobe level. For these reasons, this work is aimed at numerically assessing the implementation of an effective real-time phase-only control strategy, based on a customized version [7] (PSOM) of the particle swarm optimizer (PSO) [5] [6], in an uniform circular array when both near-field and far-field interferences with random directions of arrival (DoAs) are present, thus extending the analysis carried out in [4]. As far as the environment scenario is concerned, the received signal (r) is the result of different contributions due to the desired signal (d), a set of interference sources (i), and a background noise…”

“…For a comparative analysis, the result obtained with the PSOM has been compared with that from the reference Applebaum's method [2], the Applebaum's method with quantized values of the phase coefficients, the LMS technique, and the RLS method [4]. The optimization processes have been carried out by setting the power of the interferers to 30 dB with respect to the power level of the desired signal and by neglecting the background noise [4].…”

“…The optimization processes have been carried out by setting the power of the interferers to 30 dB with respect to the power level of the desired signal and by neglecting the background noise [4]. The results are shown in Fig.…”