Abstract
In order to adapt for a high-rate transmission and improve the performance of operation, in this paper, a new low complex sphere decoding (SD) algorithm is proposed in the MIMO-ZP-OFDM systems. It is an approximate optimization algorithm and can be used in the space-time coding and uncoded multiple-antenna systems. ML sequence detection compared with SD algorithm the latter can reduce the complex and keep the performance of systems, especial for high-rate transmission operation and the occasion of transmit antenna beyond receive antenna. Simulation results show that the efficiency and superiority of this algorithm.
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POHSTM: On the computation of lattice vectors of minimal length, successive minima and reduced basis with applications. ACM SIGSAM Bull 15 (1), 37–44 (1981)
VITERBOE, BOUTROSJ: A universal lattice code decoder for fading channel, [C] / /14eme colloq. France 1993, pp. 611–614 (1993)
Damen, M.O., Gamal, H.E., Caire, G.: On maximum-likelihood detection and the search for the closest lattice point. IEEE Trans. Inform. Theory 49, 2389–2402 (2003)
Hassibi, B., Vikalo, H.: On the sphere-decoding algorithm I. Expected complexity. IEEE Trans. Sig. Proc. 53, 2806–2818 (2005)
Vikalo, H., Hassibi, B.: On the sphere-decoding algorithm II. Generalization, second-order statistics, and applications to communications. IEEE Trans. Sig. Proc. 53, 2819–2834 (2005)
Viterbo, E., Boutros, J.: A universal lattice code decoder for fading channels. IEEE Transactions on Information Theory 45(5), 1639–1642 (1997)
Damen, M., Chkeif, A., Belfiore, J.: Lattice code decoder for space-time codes. IEEE Communication Letters 4(5), 161–163 (2000)
Damen, O., Abed-Merain, K., Belflore, J.C.: Generalised sphere decoder for asymmetrical space-time communication architecture. Electronics Letters 36(2), 166–167 (2000)
Chan, A., Lee, I.: A new reduced complexity sphere decoder for multiple antenna systems. In: Proc. of IEEE ICC, vol. 1, pp. 460–464 (2002)
Vikalo, H., Hassibi, B.: Maximum likelihood sequence detection of multiple antenna systems over dispersive channels via sphere decoding. EURASIP Journal on Applied Signal Processing 2002(5), 525–531 (2002)
Damen, O., Chkeif, A.: Sphere decoding of space-time codes. In: Information Theory Proceedings, IEEE International Symposium on 25-30 June 2000, p. 362 (2000)
DAI, Y.: A comparative study of QRD-M Detection and Sphere Decoding for MIMO-OFDM systems. In: PIMRC IEEE 16th International Symposium on September 11-14, 2005, vol. 1, pp. 186–190 (2005)
Han, H.G., Oh, S.K.: A Computationally Efficient Sphere Decoding Algorithm with Smart Radius Reduction Control. In: VTC IEEE 63rd 2006, vol. 4, pp. 1698–1702 (2006)
Yang, Z., Liu, C., He, J.: A New Approach for Fast Generalized Sphere Decoding in MIMO Systems. IEEE Signal Processing Letters 12(1), 41–44 (2005)
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Kang, R., Xu, C., Chen, H., Xu, H. (2007). A New Decoding Algorithm in MIMO-ZP-OFDM Systems. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2007. Lecture Notes in Computer Science, vol 4561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73321-8_15
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DOI: https://doi.org/10.1007/978-3-540-73321-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73318-8
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