Accuracy evaluation of fixed-point based LMS algorithm

Authors:
Romuald Rocher;Daniel Menard;Olivier Sentieys;Pascal Scalart
Affiliations:
INRIA/University of Rennes 1, 6 rue de Kerampont, 22300 Lannion, France;INRIA/University of Rennes 1, 6 rue de Kerampont, 22300 Lannion, France;INRIA/University of Rennes 1, 6 rue de Kerampont, 22300 Lannion, France;INRIA/University of Rennes 1, 6 rue de Kerampont, 22300 Lannion, France
Venue:
Digital Signal Processing
Year:
2010

Citing 4
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Abstract

The implementation of adaptive filters with fixed-point arithmetic requires computation quality evaluation. The accuracy may be determined by computing the global quantization noise power at the system output. In this paper, a new model for evaluating analytically the global noise power in LMS-based algorithms is presented. Thus, the model is developed for LMS and NLMS algorithms. The accuracy of our model is analyzed by simulations.