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A novel adaptive V-BLAST algorithm based on subspace tracking and Hermitian matrix perturbation theorem

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Abstract

A novel vertical Bell laboratories layered space-time (V-BLAST) system with adaptive successive interference cancellation (SIC) detector based on subspace tracking (SST) and Hermitian matrix perturbation theorem is proposed in this paper, and the corresponding optimal symbol detection order operation is obtained. Moreover, asymptotic limit theorems for the detectors are established. The final simulation results verify that the symbol error probability (SEP) performance, the immunity to channel estimation errors and the algorithm convergence rate are superior to that of the conventional V-BLAST detection algorithm when channel estimation errors exist.

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References

  1. Foschini G J, Golden G D, Valenzuela R A, et al. Simplified processing for high spectral efficiency wireless communication employing multi-element arrays. IEEE J Sel Areas Commun, 1999, 17: 1841–1852.

    Article  Google Scholar 

  2. Zhu H F, Lei Z D, Chin F. An improved recursive algorithm for BLAST. Signal Process, 2007, 87: 1408–1411.

    Article  MATH  Google Scholar 

  3. Le M T, Pham V S, Mai L, et al. A low complexity branch-and-bound-based decoder for V-BLAST systems with PSK signals. Signal Process, 2009, 89: 197–205

    Article  MATH  Google Scholar 

  4. Lin H J, Tang Y X, Guan L, et al. Successive interference cancellation (SIC) in V-BLAST systems with asynchronous transmission mode. Sci China Ser F-Inf Sci, 2009, 52: 2317–2323.

    Article  MATH  Google Scholar 

  5. Guo H Y, Zhou Z G, Hu H L. Transmit correlation effect on SIC-ZF receiver for V-BLAST system. Sci China Ser F-Inf Sci, 2009, 52: 2290–2295.

    Article  MathSciNet  MATH  Google Scholar 

  6. Benesty J, Huang Y, Chen J. A fast recursive algorithm for optimum sequential signal detection in a BLAST system. IEEE Trans Signal Process, 2003, 51: 1722–1730.

    Article  Google Scholar 

  7. Zhu H F, Chen W, Li B, et al. An improved square-root algorithm for V-BLAST based on efficient inverse Cholesky factorization. IEEE Trans Wirel Commun, 2011, 10: 43–48

    Article  Google Scholar 

  8. Jiang Y, Varanasi M K, Li J. Performance analysis of ZF and MMSE equalizers for MIMO system: an in-depth study of the high SNR regime. IEEE Trans Inf Theory, 2011, 57: 2008–2026.

    Article  MathSciNet  Google Scholar 

  9. Liu T H, Jiang J Y, Chu Y S. A low-cost MMSE-SIC detector for the MIMO system: algorithm and hardware implementation. IEEE Trans Circ Syst II: Express Briefs, 2011, 58: 56–61.

    Article  Google Scholar 

  10. Peng W, Adachi F, Ma S D, et al, Effects of channel estimation errors on V-BLAST detection. In: IEEE GLOBECOM, New Orlean, LO, 2008. 1–5

  11. Lee K, Chun J. Symbol detection in V-BLAST architectures under channel estimation errors. IEEE Trans Wirel Commun, 2007, 6: 593–597

    Article  Google Scholar 

  12. Chen J S, Yu X L, Kuo C C J. V-BLAST receiver for MIMO relay networks with imperfect CSI. In: IEEE GLOBECOM, Washington, DC, 2007. 571–575

  13. Wang J, Wen O Y, Li S Q. Soft-output MMSE V-BLAST detector under ML channel estimation and channel correlation. IEEE Commun Lett, 2009, 13: 103–105

    Article  Google Scholar 

  14. Chen X M, Xu D Z, Yu X B, et al. An adaptive transmit antenna selection and power allocation scheme for V-BLAST system under imperfect channel state information. In: International Conference on NSWCTC’09, Wuhan, Hubei, 2009. 298–300

  15. Marzetta T L. BLAST training: Estimating channel characteristics for high capacity space-time wireless communications. In: Proc 37th Annu Allerton Conf, Control, and Computing, Monti-cello, IL, 1999. 22–24

  16. Narasimhan R. Error propagation analysis of V-BLAST with channel-estimation errors. IEEE Trans Commun, 2005, 53: 27–31

    Article  Google Scholar 

  17. Medard M. The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel. IEEE Trans Inf Theory, 2000, 46: 933–946

    Article  MATH  Google Scholar 

  18. Weber T, Sklavos A, Meurer M. Imperfect channel-state information in MIMO transmission. IEEE Trans Commun, 2006, 54: 543–552

    Article  Google Scholar 

  19. Høst-Madsen A, Wang X D. Performance of blind and group-blind multiuser detectors. IEEE Trans Inf Theory, 2002, 48: 1849–1872

    Article  MATH  Google Scholar 

  20. Oates J H. Application of degenerate perturbation theory to subspace tracking. IEEE Trans Signal Process, 2000, 48: 92–101

    Article  MathSciNet  MATH  Google Scholar 

  21. Doukopoulos X G, Moustakides G V. Paris DibCom, fast and stable subspace tracking. IEEE Trans Signal Process, 2008, 56: 1452–1465

    Article  MathSciNet  Google Scholar 

  22. Wang R, Yao M L, Zhang D M, et al. Stable and orthonormal OJA algorithm with low complexity. IEEE Signal Process Lett, 2011, 18: 211–214

    Article  Google Scholar 

  23. Strobach P. The fast recursive row-Householder subspace tracking algorithm. Signal Process. 2009, 89: 2514–2528

    Article  MATH  Google Scholar 

  24. Proakis J G. Digital Communications. 3rd ed. New York: McGraw-Hill, 1995

    Google Scholar 

  25. 3GPP TS 36211, Physical Channels and Modulation, V86.0, Mar. 2009

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Authors and Affiliations

  1. College of Mathematics, Sichuan University, Chengdu, 610065, China

    WangYong Lv, HuiQi Wang, Hong Ma & YongDao Zhou

  2. College of Mathematics and Software Science, Sichuan Normal University, Chengdu, 610068, China

    WangYong Lv

Authors
  1. WangYong Lv
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  2. HuiQi Wang
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  3. Hong Ma
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  4. YongDao Zhou
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Correspondence to HuiQi Wang.

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Lv, W., Wang, H., Ma, H. et al. A novel adaptive V-BLAST algorithm based on subspace tracking and Hermitian matrix perturbation theorem. Sci. China Inf. Sci. 55, 322–336 (2012). https://doi.org/10.1007/s11432-011-4334-4

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  • DOI: https://doi.org/10.1007/s11432-011-4334-4

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