Application of Jacobi Algorithm in Frequency Selective Channels

In this paper, we apply the Jacobi iterative algorithm to combat intersymbol interference caused by frequency selective channels. An analytical bound of the proposed equalizer is analyzed in order to gain an insight into its asymptotic performance. Due to the error propagation problem, the potential of this algorithm is not reached in an uncoded system. However, its extension to a coded system with the application of the turbo processing principle results in a new turbo equalization algorithm which demonstrates comparable performance with reduced complexity compared to some existing filter based turbo equalization schemes.

[1]  Andrew C. Singer,et al.  Turbo equalization: principles and new results , 2002, IEEE Trans. Commun..

[2]  O. Axelsson.  Iterative solution methods , 1995 .

[3]  Alain Glavieux,et al.  Turbo equalization: adaptive equalization and channel decoding jointly optimized , 2001, IEEE J. Sel. Areas Commun..

[4]  John G. Proakis,et al.  Digital Communications , 1983 .

[5]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[6]  Alain Glavieux,et al.  Iterative correction of intersymbol interference: Turbo-equalization , 1995, Eur. Trans. Telecommun..

[7]  Lars K. Rasmussen,et al.  Ping-pong effects in linear parallel interference cancellation for CDMA , 2003, IEEE Trans. Wirel. Commun..

[8]  Pei Xiao,et al.  Performance analysis of conventional detection in BFWA systems , 2005, Second IFIP International Conference on Wireless and Optical Communications Networks, 2005. WOCN 2005..

[9]  Pei Xiao,et al.  Estimation of FWA MIMO Channels , 2006, 2006 IEEE Information Theory Workshop - ITW '06 Chengdu.

[10]  Rolando Carrasco,et al.  Turbo Equalization For Space-Time Block Coded FWA Systems , 2006, 2006 IEEE Information Theory Workshop - ITW '06 Chengdu.

[11]  Vinko Erceg,et al.  Channel Models for Fixed Wireless Applications , 2001 .

[12]  Frank M. Hsu,et al.  Square root Kalman filtering for high-speed data received over fading dispersive HF channels , 1982, IEEE Trans. Inf. Theory.

[13]  Patrick Robertson,et al.  A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain , 1995, Proceedings IEEE International Conference on Communications ICC '95.