Proportionate affine projection sign algorithms for sparse system identification in impulsive interference

Two proportionate affine projection sign algorithms (APSAs) are proposed for system identification applications, such as network echo cancellation (NEC), where the impulse response is often real-valued with sparse coefficients and long filter length. The proposed proportionate-type algorithms can ac...

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Bibliographic Details
Published in2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 4068 - 4071
Main Authors Zengli Yang, Zheng, Yahong Rosa, Grant, Steven L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
Adaptive filter
affine projection algorithm
Convergence
Echo cancellers
Interference
network echo cancellation (NEC)
proportionate adaptive algorithm
Robustness
sign algorithm
Signal processing algorithms
Sparse matrices
Speech
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Summary:Two proportionate affine projection sign algorithms (APSAs) are proposed for system identification applications, such as network echo cancellation (NEC), where the impulse response is often real-valued with sparse coefficients and long filter length. The proposed proportionate-type algorithms can achieve fast convergence and low steady-state misalignment by adopting a proportionate regularization matrix to the APSA. Benefiting from the characteristic of Zi-norm algorithms, affine projection, and proportionate matrix, the new algorithms are robust to impulsive interferences and colored input, and achieve much faster convergence rate in sparse impulse responses than the original APSA, the normalized sign algorithm (NSA), and the proportionate least mean square (PNLMS) algorithm. The computational complexity of the new algorithms is lower than the affine projection algorithm (APA) family due to elimination of matrix inversion.
ISBN:9781457705380
1457705389
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2011.5947246