ADVANCED FLEXIBLE ADAPTIVE FILTERING - TOWARDS STRUCTURE, TIME AND STATISTICAL AGILITY

This paper considers the evolution of modern adaptive filtering in the context of applications in wireless communications. The main contribution is to introduce a common framework which potentially allows the adaptive system to include structure, e.g. number of coefficients, as one of the adaptable parameters. The proposed structure also allows for statistical variations to be taken into account in a highly time variant manor. Some examples are also cited to illustrate these features.

[1]  D.G.M. Cruickshank,et al.  Linear equalisers, with dynamic and automatic length selection , 2001 .

[2]  C.F.N. Cowan,et al.  The convex variable step-size (CVSS) algorithm , 2000, IEEE Signal Processing Letters.

[3]  Tharmalingam Ratnarajah,et al.  HOS-Based Semi-Blind Spatial Equalization for MIMO Rayleigh Fading Channels , 2008, IEEE Transactions on Signal Processing.

[4]  Colin Cowan,et al.  Using a normalised LMF algorithm for channel equalisation with co-channel interference , 2002, 2002 11th European Signal Processing Conference.

[5]  Yu Gong,et al.  A self-structured adaptive decision feedback equalizer , 2006, IEEE Signal Processing Letters.

[6]  Yu Gong,et al.  An LMS style variable tap-length algorithm for structure adaptation , 2005, IEEE Transactions on Signal Processing.

[7]  Colin Cowan,et al.  Adaptive data echo cancellation using cost function adaptation , 2000, Signal Process..

[8]  Huijuan Cui,et al.  LMS algorithm with gradient descent filter length , 2004, IEEE Signal Processing Letters.

[9]  Tetsuya Shimamura,et al.  Equalisation of Time Variant Multipath Channels Using Amplitude Banded LMS Algorithms , 2001 .

[10]  Ali H. Sayed,et al.  Adaptive Filters , 2008 .

[11]  C. F. N. Cowan,et al.  Time‐variant equalization using a novel non‐linear adaptive structure , 1998 .

[12]  Colin Cowan,et al.  Advances in adaptive signal processing: totally adaptive systems , 1998, Annu. Rev. Control..

[13]  S. Haykin Adaptive Filters , 2007 .