Tunable load MIMO with quantized loads

Ang Li, Christos Masouros, Mathini Sellathurai, Constantinos B. Papadias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we study the application of precoding schemes on practical electronically steerable parasitic array radiators (ESPARs), where quantized load impedances are considered for each antenna element. The presence of quantization in the loads results in a performance loss for practical ESPARs. To alleviate the performance loss, we propose to approximate the ideal current vector with convex optimization, where it is further shown that the optimality is achieved by optimizing the feeding voltages only. Specifically, we obtain the closed-form expression when single-fed ESPARs are assumed. Numerical results show that the proposed quantization-robust scheme can achieve a significant performance gain over ESPARs with quantized loads.

Original languageEnglish
Title of host publication25th European Signal Processing Conference (EUSIPCO)
PublisherIEEE
Pages1699-1703
Number of pages5
ISBN (Electronic)9780992862671
DOIs
Publication statusPublished - 26 Oct 2017
Event25th European Signal Processing Conference 2017 - Greece, Kos, Greece
Duration: 28 Aug 20172 Sep 2017
http://www.eusipco2017.org/

Publication series

NameEuropean Signal Processing Conference
PublisherIEEE
ISSN (Electronic)2076-1465

Conference

Conference25th European Signal Processing Conference 2017
Abbreviated titleEUSIPCO
CountryGreece
CityKos
Period28/08/172/09/17
Internet address

Keywords

  • ESPARs
  • MIMO
  • Optimization
  • Quantization

ASJC Scopus subject areas

  • Signal Processing

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