A Study on MVDR Beamforming Applied to an ESPAR Antenna

Qian, Rongrong; Sellathurai, Mathini; Wilcox, David

doi:10.1109/lsp.2014.2349574

Cited by 30 publications

(13 citation statements)

References 10 publications

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“…Fig. 6 shows anechoic chamber result for θ=90 one can observe small elevation form desired x-y axis because of ground skirt [17].In simulations elevation angle of 85 0 is observed. Traditional ESPAR antenna and switched parasiric array antenna have all cylindrical elements, including the active element [3], [4].…”

Section: Antenna Simulation and Plotsmentioning

confidence: 81%

Energy efficient switched parasitic array antenna for 5G networks and IoT

Kausar

Mehrpouyan

Sellathurai

et al. 2016

2016 Loughborough Antennas &Amp; Propagation Conference (LAPC)

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Abstract-This paper includes design and implementation result of an adaptive beam forming antenna for upcoming 5G and Internet of Things (IoT). Switched parasitic array antennas are low cost, small sized and compact circular array antennas that steer beam in a desired direction by variation in switching pattern of parasitic elements. The proposed antenna design has an active center element, which is surrounded by several symmetrically placed parasitic elements. The designed antenna has a gain of 8 dB and is capable of 360 degrees beam steering in steps of 60 degrees each. Simulations are validated with results of the fabricated antenna. Antenna beam is steered by controlling parasitic elements. Future application of Electronically Steerable Parasitic Array Radiator (ESPAR) antennas and switched parasitic array antennas in next generation communication networks and methods for reducing size of the antenna are also highlighted.

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Section: Antenna Simulation and Plotsmentioning

confidence: 81%

Energy efficient switched parasitic array antenna for 5G networks and IoT

Kausar

Mehrpouyan

Sellathurai

et al. 2016

2016 Loughborough Antennas &Amp; Propagation Conference (LAPC)

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“…First, the reactance loads of the parasitic elements are optimized for directivity in a look direction (e.g., 0 ○ ), that can be achieved using a fast iterative beamforming strategy [5], [11]. Then, due to the symmetrical antenna structure, circularly permuting the optimized reactance loads rotate the beampattern to different angular positions, thereby dividing the whole angle space around the ESPAR receiver into several angular sectors.…”

Section: B Projection Matrixmentioning

confidence: 99%

Direction-of-arrival estimation with single-RF ESPAR antennas via sparse signal reconstruction

Qian

Sellathurai

Chambers

2015

2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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In this paper, a direction-of-arrival (DoA) estimation method based on compressive sensing is proposed for an electronically steerable parasitic array radiator (ESPAR) antenna, which uses only a single radio frequency (RF) chain, and is thereby suited for application in compact wireless terminals. Unlike a conventional multi-active antenna array, signals impinging on parasitic elements in an ESPAR array cannot be processed, and only the output of the sole active element can be processed. In this context, for an ESPAR array, a sparse representation of the DoA estimation problem is formulated by first using an overcomplete dictionary composed of samples from the array manifold and then projecting them onto a set of directional beampatterns. The projection matrix is designed to divide the angle space of the receive antenna array into sectors which are accessed via their corresponding sector beampatterns formed on a time division basis. The sparse signal spectrum is reconstructed by the l1-SVD (singular value decomposition) method [1], where the sparsity is enforced by the l1-norm penalty. Simulation results are presented to demonstrate the efficiency of the proposed method.

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“…Modify the MVDR algorithm as an iterative algorithm for ESPARs [6]: 1) The estimate correlation matrix is obtained by measuring the signal via different beampatterns; 2) Reformulate the MVDR optimization problem as a convex problem and introduce a projector for feasible reactance loads. Blind interference alignment (BIA) [7] is a promising technique providing an optimal DoF in the multi-user MISO BC without knowledge of CSIT (channel state information at the transmitter).…”

Section: Applications: Adaptive Beamformingmentioning

confidence: 99%