The square-root Schur RLS adaptive filter
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15206149,p. 1845-1848 vol.3
- https://doi.org/10.1109/icassp.1991.150713
Abstract
A square-root normalized Schur (1917,1986) RLS (recursive least squares) adaptive filter is presented which belongs to the newly developed class of Schur-type algorithms for adaptive filtering and parameter estimation in the serialized data case of RLS processing. Schur-type algorithms can outperform many of the well-known fast adaptive filtering algorithms due to their inherent ability to work with arbitrary recursive windowing of the data. Key features of the square-root Schur RLS adaptive filter are a fully pipelineable structure and excellent numerical properties. A systolic array of CORDIC processors for implementation of the square-root Schur RLS adaptive filter is presented, and its performance is illustrated with a typical example.Keywords
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