Reconfigurable broadband microwave photonic intensity differentiator based on an integrated optical frequency comb source

By Xingyuan Xu, Jiayang Wu, M. Shoeiby, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Roberto Morandotti, Arnan Mitchell, David J. Moss. 2017

235 citations recorded by the source corpus.

We propose and experimentally demonstrate a microwave photonic intensity differentiator based on a Kerr optical comb generated by a compact integrated micro-ring resonator (MRR). The on-chip Kerr optical comb, containing a large number of comb lines, serves as a high-performance multi-wavelength source for implementing a transversal filter, which will greatly reduce the cost, size, and complexity of the system. Moreover, owing to the compactness of the integrated MRR, frequency spacings of up to 200-GHz can be achieved, enabling a potential operation bandwidth of over 100 GHz. By programming and shaping individual comb lines according to calculated tap weights, a reconfigurable intensity differentiator with variable differentiation orders can be realized. The operation principle is theoretically analyzed, and experimental demonstrations of the first-, second-, and third-order differentiation functions based on this principle are presented. The radio frequency amplitude and phase responses of multi-order intensity differentiations are characterized, and system demonstrations of real-time differentiations for a Gaussian input signal are also performed. The experimental results show good agreement with theory, confirming the effectiveness of our approach.

Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e6acfbc8f4ffbf927d39b2be6b8b92fc6585142f

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In Atomic and Molecular Physics, and Optics

  1. Xingyuan Xu
  2. Arnan Mitchell
  3. Jiayang Wu
  4. David J. Moss
  5. Roberto Morandotti
  6. Mengxi Tan
  7. Sai T. Chu
  8. Thach G. Nguyen

In Electrical and Electronic Engineering

  1. Xingyuan Xu
  2. Arnan Mitchell
  3. Jiayang Wu
  4. David J. Moss
  5. Roberto Morandotti
  6. Mengxi Tan
  7. Sai T. Chu
  8. Thach G. Nguyen

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