A stable and efficient DSP implementation of a LSL algorithm for acoustic echo cancelling

Authors:
A. H. C. Carezia;P. M. S. Burt;M. Gerken;M. D. Miranda;M. T. M. Da Silva
Affiliations:
Dept. of Telecommun. & Control Eng., Polytech. Sch./Univ. of Sao Paulo, Brazil;-;-;-;-
Venue:
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Year:
2001

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Implementation of the least-squares lattice with order and forgetting factor estimation for FPGA

EURASIP Journal on Advances in Signal Processing

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Abstract

We present an optimized DSP implementation of a modified error-feedback lattice least-square (EF-LSL) adaptive filtering algorithm. Simple measures that provide numerical stability for poor persistent excitation are also proposed. As a result of the optimization and the stability measures, an efficient and stable implementation of a fast algorithm of the RLS family was attained. We present the results of an acoustic echo cancelling experiment performed with the implemented algorithm. With a 40 MIPS SHARC DSP, up to 290 adaptive filter coefficients can be used. This represents an effective alternative to algorithms of the LMS family, while still retaining the good convergence properties of the RLS family.