Implementing a novel highly scalable adaptive photonic beamformer using "blind" guided accelerated random search

John Chang, James Meister, Paul Richard Prucnal

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

A novel highly scalable adaptive photonic beamformer is proposed and experimentally verified. A single-mode-to-multimode combiner allows our system to recycle the same set of wavelengths for each antenna in the array. A 'blind' search algorithm called the guided accelerated random search (GARS) algorithm is shown. A maximum cancellation of ∼37 dB is achieved within 50 iterations, while the presence of a signal of interest (SOI) is maintained. Cancellation across the 900 MHz and 2.4 GHz bands are shown to prove the broadband nature of the optical beamformer.

Original languageEnglish (US)
Article number6755530
Pages (from-to)3623-3629
Number of pages7
JournalJournal of Lightwave Technology
Volume32
Issue number20
DOIs
StatePublished - Oct 15 2014

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

Keywords

  • Adaptive arrays
  • beam steering
  • microwave photonics
  • optical signal processing
  • phased arrays

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