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Optimization of time-domain header processing filters using genetic algorithms
Mihaela Dinu1, Inuk Kang, Mahmoud Rasras
1Bell Laboratories, Alcatel-Lucent, Holmdel, NJ 07733, USA. mdinu@alcatel-lucent.com
Optics Letters
|February 5, 2008
Summary
Genetic algorithms optimize header recognition filters using time-delay lines for improved signal discrimination. These filters enhance performance for phase-shift-keyed and amplitude-shift-keyed signals, offering practical implementation on planar lightwave circuits.
Area of Science:
- Optical communications
- Signal processing
- Computational intelligence
Background:
- Header recognition is crucial for data demultiplexing in optical networks.
- Existing methods like matched filters have limitations in discrimination and ambiguity.
Purpose of the Study:
- To apply genetic algorithms for designing optimized time-delay line-based header recognition filters.
- To improve discrimination against unwanted bit patterns for various modulation schemes.
Main Methods:
- Utilized genetic algorithms to evolve filter parameters.
- Employed discrimination of target headers against all other bit patterns as the fitness function.
- Designed filters based on time-delay lines.
Main Results:
- Optimized filters demonstrated superior discrimination for phase-shift-keyed (PSK) headers compared to matched filters.
- Achieved unambiguous time-domain filtering for specific amplitude-shift-keyed (ASK) headers.
- Demonstrated feasibility of implementing these filters on planar lightwave circuits.
Conclusions:
- Genetic algorithms are effective optimization tools for header recognition filters.
- Time-delay line filters offer improved performance and practical implementation possibilities.
- The developed filters provide enhanced signal discrimination for optical header recognition.
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