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Diffused Channel Estimation and Reception for Cyclic Prefix-free MC-CDMA Arrayed-MIMO Communication Systems

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Abstract

An arrayed-MIMO communication system, which employs antenna arrays at both ends of the wireless link is proposed to leverage upon spatial information such as directions-of-arrival to achieve an improvement in performance. This is in contrast with conventional MIMO systems, which typically assume multiple independent antenna elements at the transmitters and receivers. This paper focuses on an arrayed-MIMO communication system operating over a frequency selective fading channel and employs MC-CDMA as the modulation technique. However, in a departure from conventional MC-CDMA systems, cyclic prefixes or guard intervals are not used for the MC-CDMA system employed here so that valuable bandwidth is not wasted on cyclic prefixes or guard intervals. Localized scattering is assumed to occur for each multipath; hence the wireless channel is modelled as a diffused vector channel. A robust blind estimation method is presented to estimate the parameters of the spatially diffused channel, followed by reception based on these parameters. The feasibility of the proposed system is supported by simulation results.

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Abbreviations

a :

Scalar

\(\underline{a}, \mathbf{\underline{a}}\) :

Column vector

\({\mathbb{A}},{\mathbf{A}}\) :

Matrix

\(\left[\underline{a}\right]_{i}\) :

Selects the ith element of vector \(\underline{a}\)

\({\mathbb{I}}_{N}\) :

N × N identity matrix

\({\underline{0}_{N}}\) :

N element column vector of all zeros

\({\underline{1}_{N}}\) :

N element column vector of all ones

()H :

Hermitian transpose

()T :

Transpose

()*:

Conjugate

\(\odot \) :

Hadamard product

\(\otimes \) :

Kronecker product

\(\hbox{diag}(\underline{a})\) :

Diagonalization of vector \(\underline{a}\)

\(\exp (\underline{a})\) :

Elementwise exponential of vector \(\underline{a}\)

\(\det \left( {\mathbb{A}}\right) \) :

Determinant of matrix \({\mathbb{A}}\)

\(P^{\perp }\left[ {\mathbb{A}}\right] \) :

Complementary Projection Operator \(P^{\perp }\left[ {\mathbb{A}}\right] ={\mathbb{I-A(A}}^{H}{\mathbb{A)}}^{-1} {\mathbb{A}}^{H}\)

References

  1. R. Esmailzadeh, M. Nakagawa, and A. Jones, TDD-CDMA for the 4th generation of wireless communications, Wireless Personal Communications, Vol. 10, No. 4, pp. 8–15, 2003.

    Google Scholar 

  2. N. Yee, J.-P. Linnartz, and G. Fettweis, Multicarrier CDMA in indoor wireless radio networks, in 2nd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 1993. PIMRC 1993, Vol. 1, pp. 109–113, September 1993.

  3. G. J. Foschini, On limits of wireless communications in a fading environment when using multiple antennas, Wireless Personal Communications, Vol. 6, No. 3, pp. 311–335, 1998.

    Article  Google Scholar 

  4. S. M. Alamouti, A simple transmit diversity technique for wireless communications, IEEE Journal on Selected Areas in Communications, Vol. 16, No. 8, pp. 1451–1458, 1998.

    Article  Google Scholar 

  5. P. W. Wolniansky, G. J. Foschini, G. D. Golden, and R. A. Valenzuela, V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel, in URSI International Symposium on Signals, Systems, and Electronics, 1998. ISSSE 98, pp. 295–300, March 1998.

  6. J. W. P. Ng and A. Manikas, MIMO array DS-CDMA system: a blind space-time-Doppler estimation/reception, in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. Proceedings (ICASSP’04), Vol. 2, pp. 337–340, May 2004.

  7. A. J. Paulraj, D. A. Gore, R. U. Nabar, and H. Bolcskei, An overview of MIMO communications—a key to gigabit wireless, Proceedings of the IEEE, Vol. 92, No. 2, pp. 198–218, 2004.

    Article  Google Scholar 

  8. T. S. Naveendra and A. Manikas, Subspace receiver techniques for DS-CDMA systems in space diffused vector channels, WSEAS Transactions on Communications, Vol. 3, No. 2, pp. 590–594, 2004.

    Google Scholar 

  9. T. S. Naveendra and A. Manikas, Blind estimation of diffused multipath vector channels for DS-CDMA systems, 1st International Symposium on Wireless Communication Systems 2004, pp. 41–45, September 2004.

  10. H. Huang, H. Viswanathan, and G. J. Foschini, Multiple antennas in cellular CDMA systems: transmission, detection, and spectral efficiency, IEEE Transactions on Wireless Communications, Vol. 1, No. 3, pp. 383–392, 2002.

    Article  Google Scholar 

  11. D. J. Sadler and A. Manikas, Blind reception of multicarrier DS-CDMA using antenna arrays, IEEE Transactions on Wireless Communications, Vol. 2, No. 6, pp. 1231–1239, 2003.

    Article  Google Scholar 

  12. R. J. Piechocki, J. P. McGeehan, and G. V. Tsoulos, A new stochastic spatio-temporal propagation model (SSTPM) for mobile communications with antenna arrays, IEEE Transactions on Communications, Vol. 49, No. 5, pp. 855–862, 2001.

    Article  Google Scholar 

  13. K. I. Pedersen, P. E. Mogensen, and B. H. Fleury, A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments, IEEE Transactions on Vehicular Technology, Vol. 49, No. 2, pp. 437–447, 2000.

    Article  Google Scholar 

  14. A. Manikas and M. Sethi, A space-time channel estimator and single-user receiver for code-reuse DS-CDMA systems, IEEE Transactions on Signal Processing [see also IEEE Transactions on Acoustics, Speech, and Signal Processing], Vol. 51, No. 1, pp. 39–51, 2003.

    MathSciNet  Google Scholar 

  15. D. Astely and B. Ottersten, The effects of local scattering on direction of arrival estimation with MUSIC, IEEE Transactions on Signal Processing [see also IEEE Transactions on Acoustics, Speech, and Signal Processing], Vol. 47, No. 12, pp. 3220–3234, 1999.

    Google Scholar 

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Correspondence to Farrukh Rashid.

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Rashid, F., Peh, H.H. & Manikas, A. Diffused Channel Estimation and Reception for Cyclic Prefix-free MC-CDMA Arrayed-MIMO Communication Systems. Int J Wireless Inf Networks 15, 148–160 (2008). https://doi.org/10.1007/s10776-008-0080-y

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  • DOI: https://doi.org/10.1007/s10776-008-0080-y

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