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Space-Time Blind Multiuser Detection for Multiuser DS-CDMA and Oversampled Systems

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Abstract

Novel space-time blind multiuser detection method for multiuser DS-CDMA and oversampled systems is presented. To achieve signal recovery, Khatri-Rao product structure of the space-time channel matrix of received signals and rank-1 projection strategy are exploited. Two blind signal detection algorithms based on Khatri-Rao product decomposition are proposed. Uniqueness of the Khatri-Rao decomposition is discussed. Simulation results show that the proposed algorithms have performance close to the non-blind Zero Forcing algorithm and still work well in the case of only few antennae in the receiving end.

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Abbreviations

A T :

Transpose of A

A H :

Conjugate transpose of A

diag([a, b . . .]):

Diagonal matrix with diagonal entries a, b, . . .

a(1 : I ):

A vector with a(1), . . . , a(I)

vec(A):

Stacks the columns of A in a vector

unvec(a, I, J):

Rearrange a IJ × 1 vector a to a I × J matrix, formulated as: unvec(a, I, J) = [a(1 : J), a(J + 1 : 2J), . . . , a((I−1)J : IJ)]

min(a, b):

The minimum value of a and b

max(a, b):

The maximum value of a and b

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Authors and Affiliations

  1. College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    X. Liu, Z. Z. Xu & L. Lei

Authors
  1. X. Liu
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  2. Z. Z. Xu
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  3. L. Lei
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Correspondence to X. Liu.

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Liu, X., Xu, Z.Z. & Lei, L. Space-Time Blind Multiuser Detection for Multiuser DS-CDMA and Oversampled Systems. Wireless Pers Commun 58, 759–783 (2011). https://doi.org/10.1007/s11277-009-9905-y

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