On the design and realization of adaptive equalization for mobile communication

In this paper the reduction of intersymbol interference (ISI) in mobile communication channels is addressed. A well known technique for ISI reduction is adaptive equalization in which the time-varying characteristics of the mobile channel are tracked by an adaptive algorithm. We compare different adaptive strategies and equalizer structures with respect to overall system performance in terms of computational complexity, numerical stability, finite wordlength effects, size and power consumption required for VLSI implementation. The adaptation strategies addressed are linear forward, decision feedback equalization. The selected algorithms are simulated in the Signal Processing Worksystem (SPW) tool complying to the Global System Mobile (GSM) standard and the Digital Enhanced Cordless Telecommunications (DECT) standard. The performance of the pertinent algorithm is expressed as the bit error rate (BER) versus the signal-to-noise ratio (SNR). Robustness and stability, the effects of finite wordlength and expected power consumption are presented as well.

[1]  Sheng Chen,et al.  Adaptive Bayesian decision feedback equalizer for dispersive mobile radio channels , 1995, IEEE Trans. Commun..

[2]  Jirí Kadlec.  Adaptive system identification and signal processing algorithms : Nicholas Kalouptsidis and Sergios Theodoridis (Eds) , 1995, Autom..

[3]  Darrell Williamson,et al.  Digital Control and Implementation , 1991 .

[4]  S. T. Alexander,et al.  Adaptive Signal Processing: Theory and Applications , 1986 .

[5]  John M. Cioffi,et al.  Adaptive DFE for GMSK in Indoor Radio Channels , 1996, IEEE J. Sel. Areas Commun..

[6]  Sergio Benedetto,et al.  Digital Transmission Theory , 1987 .

[7]  Kimberly Ryan,et al.  Cadence Design Systems Inc. , 1993 .

[8]  S. Thomas Alexander,et al.  Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.

[9]  Jaakko Astola,et al.  Roundoff errors in block-floating-point systems , 1996, IEEE Trans. Signal Process..

[10]  John M. Cioffi,et al.  Adaptive DFE for GMSK in indoor radio channels , 1995, Proceedings of GLOBECOM '95.

[11]  T. Kailath,et al.  Fast, recursive-least-squares transversal filters for adaptive filtering , 1984 .

[12]  J. G. Proakis.  Adaptive equalization for TDMA digital mobile radio , 1991 .

[13]  David J. Goodman,et al.  Second generation wireless information networks , 1991 .

[14]  Steve Rogers,et al.  Adaptive Filter Theory , 1996 .

[15]  Nicholas Kalouptsidis,et al.  Adaptive system identification and signal processing algorithms , 1993 .

[16]  T. Kailath,et al.  Numerically stable fast transversal filters for recursive least squares adaptive filtering , 1991, IEEE Trans. Signal Process..

[17]  Zhiyun Ren,et al.  A stabilized fast transversal filters algorithm for recursive least squares adaptive filtering , 1994, Signal Process..