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Low-complexity iterative QRD-M detection algorithm for V-BLAST systems

Low-complexity iterative QRD-M detection algorithm for V-BLAST systems

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© The Institution of Engineering and Technology
Published

A computationally efficient V-BLAST detection scheme on Rayleigh flat-fading channels is proposed. The proposed scheme provides a near-ML performance with significantly reduced complexity as compared to other well-known detection techniques. Moreover, the reduced complexity is independent of signal-to-noise ratio, which is a big practical advantage.

Inspec keywords: Rayleigh channels; iterative methods; maximum likelihood estimation; computational complexity

Other keywords: signal-to-noise ratio; low-complexity iterative QRD-M detection algorithm; V-BLAST systems; V-BLAST detection scheme; Rayleigh flat-fading channels; near-ML performance

Subjects: Radio links and equipment; Other topics in statistics; Interpolation and function approximation (numerical analysis)

References

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      • Jalden, J., Ottersten, B.: `An exponential lower bound on the expected complexity of sphere decoding', Proc. IEEE ICASSP, May 2004, 4, p. 393–396.
    2. 2)
      • Chin, W.H.: `QRD based tree search data detection for MIMO communi-cation systems', Proc. IEEE VTC, June 2005, 3, p. 1624–1627.
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    5. 5)
      • K.J. Kim , J. Yue , R.A. Iltis , J.D. Gibson . A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems. IEEE Trans. Wirel. Commun. , 10 , 2389 - 2402
    6. 6)
      • Wolniansky, P.W., Foschini, G.J., Golden, G.D., Valenzuela, R.A.: `V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel', Proc. IEEE ISSE, September 1998, p. 295–300.
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