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A modified system-based adaptive algorithm for a sparse reconfigurable photonic filter

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3 Author(s)
Suk-seung Hwang ; Dept. of Mechatron. Eng., Chosun Univ., Gwangju, South Korea ; Hong Chang ; Shynk, J.J.

Adaptive algorithms can be an important component of a sparse reconfigurable adaptive filter (SRAF) for photonic switches. In this paper, we propose a modified system-based (MSB) algorithm that not only has good performance for white and non-white input signals, but also has a reduced computational complexity compared with conventional approaches such as the previous cross-correlation-based (CCB) and system-based (SB) algorithms. In order to improve the convergence rate of the system, the MSB algorithm separately updates each row or column of the switch weight matrix. We also consider a specific structure for the intermediate desired signals, and present a computer simulation example to demonstrate the performance of the proposed SRAF algorithm for a system identification application.

Published in:

Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on

Date of Conference:

6-9 Nov. 2011