An Iterative Algorithm for Joint Symbol Timing Recovery and Equalization of Short Bursts

In this work a joint clock recovery (CR) and equalization scheme for short burst transmissions is pre- sented. The joint optimization performance may be pur- sued by means of both data aided and decision directed solutions. The novel algorithm is based on an iterative scheme, exploiting a timing error function sampled at symbol rate. The symbol timing adjustment is implemented by an interpolation filter, built according to the Farrow structure. Equalization is obtained by baud spaced zero forcing (ZF) and minimum mean square error (MMSE) linear filtering. Performance is evaluated by simulating a QPSK transceiver and simulations results are compared with the ideal solutions, for both symbol timing recovery and channel equalization, under frequency selective multipath fading channel conditions.

[1]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[2]  Mu-Huo Cheng,et al.  Joint design of interpolation filters and decision feedback equalizers , 2005, IEEE Transactions on Communications.

[3]  Paolo Gamba,et al.  Joint Symbol Timing Recovery and Equalization for Short Burst Transmissions , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[4]  Floyd M. Gardner,et al.  Interpolation in digital modems. I. Fundamentals , 1993, IEEE Trans. Commun..

[5]  R. Gooch,et al.  Joint equalization and timing recovery in a fractionally-spaced equalizer , 1992, [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.

[6]  Stephen A. Dyer,et al.  Digital signal processing , 2018, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..

[7]  F. Gardner.  Interpolation in Digital Modems-Part I: Fundamentals , 2000 .

[8]  Vesa Välimäki.  A New Filter Implementation Strategy for Lagrange Interpolation , 1995, ISCAS.

[9]  C. W. Farrow,et al.  A continuously variable digital delay element , 1988, 1988., IEEE International Symposium on Circuits and Systems.

[10]  J. Vesma.  A frequency-domain approach to polynomial-based interpolation and the Farrow structure , 2000 .

[11]  Paolo Gamba,et al.  Iterative symbol timing recovery for short burst transmission schemes , 2008, IEEE Transactions on Communications.

[12]  Lars Erup,et al.  Interpolation in digital modems. II. Implementation and performance , 1993, IEEE Trans. Commun..

[13]  T. Le-Ngoc,et al.  Fast symbol timing recovery techniques for flexible PAM and QAM modems , 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

[14]  K. Mueller,et al.  Timing Recovery in Digital Synchronous Data Receivers , 1976, IEEE Trans. Commun..

[15]  Ridha Hamila,et al.  Polynomial-based maximum-likelihood technique for synchronization in digital receivers , 2002 .

[16]  J.R. Barry,et al.  Iterative timing recovery , 2004, IEEE Signal Processing Magazine.

[17]  G. P. Dudevoir,et al.  MMSE Decision-Feedback Equalizers and Coding-Part 11: Coding Results , 1995 .

[18]  G. McLachlan,et al.  The EM algorithm and extensions , 1996 .

[19]  John R. Barry,et al.  Blind iterative channel identification and equalization , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[20]  John M. Cioffi,et al.  MMSE decision-feedback equalizers and coding. I. Equalization results , 1995, IEEE Trans. Commun..

[21]  Sergio Callegari,et al.  An All-Digital Clock Recovery Architecture for the BRAN Hiperaccess Uplink Receiver , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[22]  Tong Zhao,et al.  K-means clustering-based data detection and symbol-timing recovery for burst-mode optical receiver , 2006, IEEE Transactions on Communications.

[23]  John M. Cioffi,et al.  MMSE decision-feedback equalizers and coding. II. Coding results , 1995, IEEE Trans. Commun..

[24]  Erup.  Interpolation in Digital Modems-Part 11 : Implementation and Performance , 2000 .