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A Novel Circulant Approximation Method for Frequency Domain LMMSE Equalization

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Abstract

The coefficients of a Linear Minimum Mean Square Error (LMMSE) equalizer for a stationary random signal are defined by a Toeplitz system. The Toeplitz structure can be exploited to reduce computational complexity. In this paper we investigate the Levinson and Schur algorithm, as well as circulant embedding and circulant approximation methods applied to the Preconditioned Conjugate Gradient (PCG) method and Frequency Domain Equalization (FDE). We develop a novel circulant approximation method which improves the performance/complexity tradeoff. We show that the optimal choice of algorithms largely depends on the antenna configuration. Investigated configurations are Single Input Single Output (SISO), Single Input Multiple Output (SIMO) and Multiple Input Multiple Output (MIMO). All considered algorithms are benchmarked in terms of implementation complexity and capacity achieved by a High Speed Downlink Packet Access (HSDPA) receiver in a multipath fading scenario.

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Notes

  1. The algorithm in [4] contains typos.

References

  1. Guo, Y., Zhang, J., McCain, D., & Cavallaro, J. R. (2004). Efficient MIMO equalization for downlink multi-code CDMA: Complexity optimization and comparative study. In Proc. IEEE global communications conference (pp. 2513–2519).

  2. Kay, S. M. (1993). Fundamentals of statistical signal processing. Englewood Cliffs, New Jersey: Prentice Hall.

    MATH  Google Scholar 

  3. Golub, G. H., & van Loan, C. F. (1996). Matrix computations (3rd ed.). Baltimore: The Johns Hopkins University Press.

    MATH  Google Scholar 

  4. Vollmer, M., Haardt, M., & Götze, J. (2001). Comparative study of joint-detection techniques for TD-CDMA based mobile radio systems. IEEE Journal on Selected Areas in Communications, 19(8), 1461–1474.

    Article  Google Scholar 

  5. Sayed, A. H., & Kailath, T. (1995). A look-ahead block schur algorithm for Toeplitz-like matrices. SIAM Journal on Matrix Analysis and Applications, 16(2), 388–414.

    Article  MathSciNet  MATH  Google Scholar 

  6. Gallivan, K. A., Thirumalai, S., van Dooren, P., & Vermaut, V. (1996). High performance algorithms for Toeplitz and block Toeplitz matrices. Linear Algebra and Its Applications, 241–243, 343–388.

    Article  Google Scholar 

  7. Huckle, T. K. (1994). Implementation of a superfast algorithm for symmetric positive definite linear equations of displacement rank 2. In Proc. SPIE (Vol. 2296, pp. 494–503).

  8. Huckle, T. (1994). Iterative methods for Toeplitz-like matrices. Tech. Rep., Manuscript SCCM–94–05, Scientific Computing and Computational Mathematics Program.

  9. Chan, R. H., & Ng, M. K. (1996). Conjugate gradient methods for Toeplitz systems. SIAM Review, 38(3), 427–482.

    Article  MathSciNet  MATH  Google Scholar 

  10. Shewchuk, J. R. (1994). An introduction to the conjugate gradient method without the agonizing pain. http://www.cs.cmu.edu/ quake-papers/painless-conjugate-gradient.pdf.

  11. Chowdhury, S., & Zoltowski, M. D. (2001). Application of conjugate gradient methods in MMSE equalization for the forward link of DS-CDMA. In Proc. IEEE vehicular technology conference (Vol. 4, pp. 2434–2438).

  12. Strang, G. (1986). A proposal for Toeplitz matrix calculations. Stud Appl Math, 74(2), 171–176.

    MATH  Google Scholar 

  13. Buchacher, C., Wehinger, J., & Huemer, M. (2009). Iterative versus adaptive equalizers in time-variant channels. In Proc. of IEEE global communications conference. Hawaii, USA.

  14. O’Leary, D. (1980). The block conjugate gradient algorithm and related methods. Linear Algebra and Its Applications, 29, 293–322.

    Article  MathSciNet  MATH  Google Scholar 

  15. 3rd Generation Partnership Project (2008). Technical specification 25.101; user equipment (UE) radio transmission and reception (FDD), v8.2.0, release 8. http://www.3gpp.org/.

  16. ten Brink, S. (2001). Exploiting the chain rule of mutual information for the design of iterative decoding schemes. In Proc. IEEE Allerton conference.

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Correspondence to Clemens Buchacher.

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This paper was presented in part at the IEEE Workshop on Signal Processing Systems (SiPS 2009).

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Buchacher, C., Wehinger, J. & Huemer, M. A Novel Circulant Approximation Method for Frequency Domain LMMSE Equalization. J Sign Process Syst 64, 31–40 (2011). https://doi.org/10.1007/s11265-010-0484-7

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  • DOI: https://doi.org/10.1007/s11265-010-0484-7

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