Aperiodic Array Synthesis for Telecommunications
Doktorsavhandling, 2017

Arrays of antennas offer important advantages over single-element antennas and are thus a key part of most advanced communication systems. The majority of current arrays are based on a classical regular layout, which offer simple design criteria despite some limitations. Aperiodic arrays can reduce the number of elements and improve the performance, however their design is far more challenging. This thesis focuses on the synthesis of aperiodic arrays, advancing the state-of-the-art of phased arrays and pioneering the application to Multiple-Input Multiple-Output (MIMO) systems. In satellite communications (SATCOM), aperiodic sparse arrays have the potential for drastically reducing the costs of massive antennas. Most available synthesis methods are however either intractable, suboptimal or limited for such demanding scenarios. We propose a deterministic and efficient approach based on Compressive Sensing, capable of accounting for electromagnetic phenomena and complex specifications. Some of the key contributions include the extension to the design of multi-beam, modular, multi-element, reconfigurable and isophoric architectures. The same approach is successfully applied to the design of compact arrays for Point-to-Point (PtP) backhauling. The aperiodicity is used here instead to reduce the side lobes and meet the target radiation envelope with high aperture efficiency. A dense, column arranged, slotted waveguide isophoric array has been successfully designed, manufactured and measured. Line-of-Sight (LoS) MIMO can multiply the data rates of classical Single-Input Single-Output (SISO) backhauling systems, however it suffers from limited installation flexibility. We demonstrate how aperiodic arrays and their switched extensions can instead overcome this shortcoming. Since a small number of antennas are typically used, an exhaustive search is adopted for the synthesis. Massive Multi-User (MU) MIMO is envisioned as a key technology for future 5G systems. Despite the prevailing understanding, we show how the MIMO performance is affected by the array layout. To exploit this, we propose a new hybrid statistical-density tapered synthesis approach. Results show a significant improvement in minimum power budget, capacity and amplifier efficiency, especially for massive and/or crowded systems

PtP

mutual coupling

SATCOM

compressive sensing

aperiodic array

density taper

MU-MIMO

maximally sparse array

LoS-MIMO

Room EB, floor 4, Hörsalsvägen 11, Chalmers University of Technology
Opponent: Prof. Andrea Massa, Department of Information Engineering and Computer Science, University of Trento, Italy

Författare

Carlo Bencivenni

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Antennsystem

Design of Maximally Sparse Antenna Arrays in the Presence of Mutual Coupling

IEEE Antennas and Wireless Propagation Letters,; Vol. 14(2015)p. 159-162

Artikel i vetenskaplig tidskrift

Synthesis of Maximally Sparse Arrays Using Compressive Sensing and Full-Wave Analysis for Global Earth Coverage Applications

IEEE Transactions on Antennas and Propagation,; Vol. 64(2016)p. 4872-4877

Artikel i vetenskaplig tidskrift

S. Lei, C. Bencivenni , R. Maaskant, M. Ivashina, J. Wettergren and J. Pragt “Aperiodic Array of Uniformly-Excited Slotted Ridge Waveguide Antennas for Point-to-Point Communication at Ka-Band”, to be submitted to IEEE Transactions on Antennas and Propagation

C. Bencivenni , M. Coldrey, R. Maaskant and M. Ivashina, “Aperiodic Switched Arrays for Line-of-Sight MIMO Backhauling”, to be submitted to IEEE Antennas and Wireless Propagation Letters

C. Bencivenni , A. A. Glazunov, R. Maaskant and M. Ivashina, “Aperiodic Array Synthesis for Multi-User MIMO Applications”, submitted to IEEE Transactions on Antennas and Propagation, March 2017

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

Annan elektroteknik och elektronik

ISBN

978-91-7597-570-2

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4251

Utgivare

Chalmers tekniska högskola

Room EB, floor 4, Hörsalsvägen 11, Chalmers University of Technology

Opponent: Prof. Andrea Massa, Department of Information Engineering and Computer Science, University of Trento, Italy