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Fast multichannel blind system identification using Laguerre filters.
Erika J Dempsey1, David T Westwick
1Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, 2500 University Dr. NW, Calgary, Alberta, T2N 1N4, Canada.
Summary
This study presents an efficient method for multiple channel blind system identification (MBSI) using Laguerre filters. The fast implementation rapidly evaluates tuning parameters, improving performance compared to traditional methods.
Area of Science:
- Signal Processing
- System Identification
- Control Engineering
Background:
- Multiple channel blind system identification (MBSI) is crucial for systems with unmeasurable inputs.
- Traditional MBSI uses finite impulse response filters, which can be parameter-heavy.
- Laguerre filters offer parameter reduction but require careful tuning.
Purpose of the Study:
- To develop an efficient implementation of the Laguerre MBSI technique.
- To enable rapid evaluation of various basis expansions and tuning parameters.
- To compare the performance of the fast implementation against traditional MBSI.
Main Methods:
- Implemented an efficient Laguerre MBSI technique.
- Developed a method for rapid evaluation of basis expansions and tuning parameters.
- Conducted Monte-Carlo simulations for performance comparison.
Main Results:
- The efficient implementation allows for faster evaluation of tuning parameters.
- Laguerre MBSI with the new implementation shows comparable or improved performance.
- Monte-Carlo simulations validated the effectiveness of the fast implementation.
Conclusions:
- The proposed efficient Laguerre MBSI technique is a viable alternative to traditional methods.
- This approach facilitates quicker and more thorough parameter tuning.
- The method enhances the practical application of MBSI in complex systems.
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