Joint turbo equalization and channel estimation with fixed-lag extended Kalman filtering

In this paper, we present a low complexity turbo equalization receiver for data transmission over time-varying frequency-selective fading channels. In the receiver, a fixed-lag Kalman equalizer jointly estimates the channel and equalizes the data symbols with the assistance of a priori information supplied by the decoder. The complexity of the proposed equalizer does not grow exponentially with the modulation constellation size, and is usually lower than that of many maximum a posteriori equalizers performing joint channel estimation and detection. Performance comparison with different types of turbo equalizers demonstrates the advantage of the proposed turbo equalizer

[1]  Zhiwen Zhu,et al.  Adaptive blind equalization for chaotic communication systems using extended-Kalman filter , 2001 .

[2]  K.M. Chugg,et al.  Iterative equalization/decoding of TCM for frequency-selective fading channels , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[3]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[4]  Iain B. Collings,et al.  Joint MAP equalization and channel estimation for frequency-selective and frequency-flat fast-fading channels , 2001, IEEE Trans. Commun..

[5]  R. Chang,et al.  On receiver structures for channels having memory , 1966, IEEE Trans. Inf. Theory.

[6]  Ronald A. Iltis,et al.  Joint detection and channel estimation algorithms for QS-CDMA signals over time-varying channels , 2002, IEEE Trans. Commun..

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

[8]  Michael Tüchler,et al.  Iterative channel estimation for turbo equalization of time-varying frequency-selective channels , 2004, IEEE Transactions on Wireless Communications.

[9]  Andrew C. Singer,et al.  Soft input channel estimation for turbo equalization , 2004, IEEE Transactions on Signal Processing.

[10]  Simon Haykin,et al.  Adaptive filter theory (2nd ed.) , 1991 .

[11]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[12]  Lajos Hanzo,et al.  Reduced complexity in-phase/quadrature-phase M-QAM turbo equalization using iterative channel estimation , 2003, IEEE Trans. Wirel. Commun..

[13]  Achilleas Anastasopoulos,et al.  Adaptive soft-input soft-output algorithms for iterative detection with parametric uncertainty , 2000, IEEE Trans. Commun..

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

[15]  Subbarayan Pasupathy,et al.  Adaptive Bayesian and EM-based detectors for frequency-selective fading channels , 2003, IEEE Trans. Commun..

[16]  Dirk Dahlhaus,et al.  Joint Kalman channel estimation and equalization for the UMTS FDD downlink , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[17]  Xiaodong Li,et al.  Bit-interleaved coded modulation with iterative decoding , 1997, IEEE Communications Letters.

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

[19]  Petros G. Voulgaris,et al.  On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..

[20]  Giuseppe Caire,et al.  Bit-Interleaved Coded Modulation , 2008, Found. Trends Commun. Inf. Theory.