Effective Sparse Recovery Framework for Ultra-Wideband Robust Plane Wave Generator

Heng Wang, Weiming Wang, Yongle Wu, Bihua Tang, Xiumin Song, Yuanan Liu, Gert Frølund Pedersen, Wei Fan

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)
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Abstract

This letter proposes a novel ultra-wideband plane wave generator (PWG) design methodology suitable for a low-cost small anechoic chamber. Several novel strategies are proposed to handle various crucial concerns in practice to make the proposed methodology reliable and robust. Specifically, the sub-array-based amplitude-only excitation method is capable of reducing the required number of control channels without the need for phase shifters, which can significantly simplify the feeding network complexity. One major concern of the PWG application is the non-negligible multipath reflections in small anechoic chambers. Thus, a novel regression approach, imposing the constraint of maximum energy outside the quiet zone (QZ), is implemented to suppress the reflection level. For the design of the PWG layout, a compressed sensing-based adaptive backtracking orthogonal matching pursuit (ABOMP) algorithm is proposed. In the simulation, a spherical test zone supporting the ultra-wideband frequency over 2.4-5 GHz is synthesized with the proposed methodology, and the effectiveness and robustness are comprehensively investigated.
Original languageEnglish
JournalIEEE Antennas and Wireless Propagation Letters
Volume22
Issue number3
Pages (from-to)462-466
Number of pages5
ISSN1536-1225
DOIs
Publication statusPublished - 1 Mar 2023

Keywords

  • Anechoic chambers
  • Antenna measurement
  • Antennas
  • Dictionaries
  • Layout
  • Matching pursuit algorithms
  • Optimized production technology
  • Wideband
  • compressed sensing
  • constrained regression
  • plane wave generator
  • plane wave generator (PWG)

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