Least-squares lattice algorithm for adaptive channel equalisation - A simplified derivation
Abstract
The exact least-squares lattice algorithm for channel equalization is derived without using an explicit time update for the equalizer or predictor coefficients. This avoids the need for auxiliary vectors and scalars within the analysis, which is considerably simplified as a result. The algorithm, which incorporates a growing fading memory estimator, is developed in the traditional unnormalized form, from which a compact rationalized and normalized algorithm is subsequently derived.
- Publication:
-
IEE Proceedings F: Communications Radar and Signal Processing
- Pub Date:
- October 1983
- Bibcode:
- 1983IPCRS.130..532M
- Keywords:
-
- Adaptive Filters;
- Channels (Data Transmission);
- Equalizers (Circuits);
- Least Squares Method;
- Linear Prediction;
- Signal Processing;
- Algorithms;
- Digital Filters;
- Lattices;
- Transmission Efficiency;
- Communications and Radar