Experimental mitigation of the effects of the limited size aperture or misalignment by singular-value-decomposition-based beam orthogonalization in a free-space optical link using Laguerre–Gaussian modes

Abstract

Limited-size receiver (Rx) apertures and transmitter–Rx (Tx–Rx) misalignments could induce power loss and modal crosstalk in a mode-multiplexed free-space link. We experimentally demonstrate the mitigation of these impairments in a 400 Gbit/s four-data-channel free-space optical link. To mitigate the above degradations, our approach of singular-value-decomposition-based (SVD-based) beam orthogonalization includes (1) measuring the transmission matrix H for the link given a limited-size aperture or misalignment; (2) performing SVD on the transmission matrix to find the U , Σ , and V complex matrices; (3) transmitting each data channel on a beam that is a combination of Laguerre–Gaussian modes with complex weights according to the V matrix; and (4) applying the U matrix to the channel demultiplexer at the Rx. Compared with the case of transmitting each channel on a beam using a single mode, our experimental results when transmitting multi-mode beams show that (a) with a limited-size aperture, the power loss and crosstalk could be reduced by ∼ 8 and ∼ 23 dB , respectively; and (b) with misalignment, the power loss and crosstalk could be reduced by ∼ 15 and ∼ 40 dB , respectively.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 13, 2020
Source ID
10.1364/ol.405399

Entities

People

  • Ahmed Almaiman
  • Alan E. Willner
  • Andreas F. Molisch
  • Brittany Lynn
  • Cong Liu
  • Hao Song
  • Haoqian Song
  • Kai Pang
  • Kaiheng Zou
  • Moshe Tur
  • Nadav Cohen
  • Nanzhe Hu
  • Robert W. Boyd
  • Runzhou Zhang
  • Shlomo Zach
  • Xinzhou Su
  • Zhe Zhao

Organizations

  • Defense Security Cooperation Agency
  • National Science Foundation
  • Office of Naval Research

Tags

Fields of Study

  • Physics

Readers

  • Linear Algebra
  • Phased Array Antenna Design.
  • Radio communications and signal processing.

Technology Areas

  • Space