Abstract
The structural complexity and overall performance of the adaptive filter depend on its structure. The number of taps is one of the most important structural parameters of the liner adaptive filter. In practice the system length is not known a-priori and has to be estimated from the knowledge of the input and output signals. In a system identification framework the tap length estimation algorithm automatically adapts the filter order to the desired optimum value which makes the variable order adaptive filter a best identifier of the unknown plant. In this paper an improved pseudo-fractional tap-length selection algorithm has been proposed to find out the optimum tap-length which best balances the complexity and steady state performance. Simulation results reveal that the proposed algorithm results in reduced complexity and faster convergence in comparison to existing tap-length learning methods.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Widrow, B., Sterns, S.D.: Adaptive Signal Processing. Prentice Hall Inc., Englewood Cliffs (1985)
Haykin, S.: Adaptive Filter Theory. Prentice Hall Inc., Englewood Cliffs (1996)
Shnyk, J.J.: Frequency Domain and Multirate Adaptive Filtering. IEEE Signal Processing Magazine 9(1), 14–37 (1992)
Gu, Y., Tang, K., Cui, H., Du, W.: Convergence analysis of a deficient-length LMS filter and optimal-length to model exponential decay impulse response. IEEE Signal Process. Lett. 10, 4–7 (2003)
Mayyas, K.: Performance analysis of the deficient length LMS adaptive algorithm. IEEE Trans. Signal Process. 53(8), 2727–2734 (2005)
Gong, Y., Cowan, C.F.N.: A novel variable tap-length algorithm for linear adaptive fitlers. In: Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Montreal, QC, Canada (May 2004)
Gong, Y., Cowan, C.F.N.: An LMS style variable tap-length algorithm for structure adaptation. IEEE Trans. Signal Process. 53(7), 2400–2407 (2005)
Gong, Y., Cowan, C.F.N.: Structure adaptation of linear MMSE adaptive filters. Proc. Inst. Elect. Eng., Vis., Image, Signal Process. 151(4), 271–277 (2004)
Schüldt, C., Lindstromb, F., Li, H., Claesson, I.: Adaptive filter length selection for acoustic echo cacellation. Signal Processing 89, 1185–1194 (2009)
Riera-Palou, F., Noras, J.M., Cruickshank, D.G.M.: Linear equalizers with dynamic and automatic length selection. Electronics Letters 37, 1553–1554 (2001)
Kar, A., Nath, R., Barik, A.: A VLMS based pseudo-fractional order estimation algorithm. In: ACM International Conference on Communication, Computing and Security, ICSSS 2011 Proceedings, pp. 119–123. NIT RKL (February 2011)
Yu, H., Liu, Z., Li, G.: A VSLMS Style Tap-Length Learning Algorithm for Structure Adaptation. In: Proc. IEEE International conference Communication Systems, ICCS 2008, pp. 503–508 (2008)
Kar, A., Barik, A., Nath, R.: An Improved Order Estimation of MSF for Stereophonic Acoustic Echo Cancellation. In: Springer International Conference on Information System Design and Intelligent Applications, InconINDIA-12 Proceedings, Vizag, pp. 319–327 (January 2011)
Gang, Y., Li, N., Chambers, A.: Steady-State Performance Analysis of a Variable Tap-Length LMS Algorithm. IEEE Transactions on Signal Processing 56(2) (February 2008)
Li, N., Zhang, Y., Hao, Y., Zhao, Y.: A new variable tap-length LMS algorithm with variable error width. In: Proc. IEEE Int. Conf. on Signal Processing, pp. 276–279 (October 2008)
Li, L., Chambers, J.A.: A Novel Adaptive Leakage Factor Scheam for Enhancement of a Variable-Taplength learning Algorithm. In: Proc. IEEE ICASSP 2008, March 31- April 4, pp. 3837–3840 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Kar, A., Chandra, M. (2013). Reduced Complexity Pseudo-fractional Adaptive Algorithm with Variable Tap-Length Selection. In: Singh, K., Awasthi, A.K. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37949-9_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-37949-9_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37948-2
Online ISBN: 978-3-642-37949-9
eBook Packages: Computer ScienceComputer Science (R0)