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7 June 1995 Parallel filter structures for RLS-type blind equalization algorithms
Marc Moonen, Ed F. A. Deprettere
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Proceedings Volume 2563, Advanced Signal Processing Algorithms; (1995) https://doi.org/10.1117/12.211420
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States
Abstract
It is shown that several RLS-type blind equalization algorithms, e.g., decision-directed schemes as well as 'orthogonalized' constant modulus algorithms, possess a common algorithmic structure and are therefore straightforwardly implemented on an earlier developed triangular array (filter structure) for recursive least squares estimation with inverse updating. While the computational complexity for such algorithms is O(N2), where N is the problem size, the throughput rate for the array implementation is O(1), i.e., independent of the problem size. Such a throughput rate cannot be achieved with standard (Gentleman-Kung- type) RLS/QR-updating arrays because of feedback loops in the computational schemes.
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Marc Moonen and Ed F. A. Deprettere "Parallel filter structures for RLS-type blind equalization algorithms", Proc. SPIE 2563, Advanced Signal Processing Algorithms, (7 June 1995); https://doi.org/10.1117/12.211420
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KEYWORDS
Algorithm development
Evolutionary algorithms
Digital filtering
Chemical elements
Feedback loops
Detection and tracking algorithms
Data transmission
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