Abstract
Earlier studies showed that iterative processing at receiver may significantly improve performance in wireless communications. In particular, performance of space-time block codes (STBC) extended for frequency selective channels may be notably improved by iterative channel estimation (ICE). On the other hand, the ICE at least doubles the receiver complexity that limits its implementation in handsets. In this paper we address non-iterative blind subspace estimation based on the second order statistics (SOS), which is simpler than the iterative receiver. Accuracy and robustness of the SOS (semi-)blind estimators with respect to different channel profiles are evaluated and compared to the ICE. Based on sensitivity analysis appropriate parameters for (semi-)blind estimators are selected. It is found that the SOS semi-blind subspace methods may approach accuracy (in terms of MSE) of the ICE.
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References
Mattellini, G.-P., Kuchi, K., Ranta, P.: Space Time Block Codes for EDGE System. In: Proc. IEEE VTC-Fall, pp. 1235–1239 (2001)
Al-Dhahir, N., Uysal, M., Georghiades, C.N.: Three Space-Time Block-Coding Schemes for Frequency-Selective Fading Channels with Application to EDGE. In: Proc. IEEE VTC-Fall, pp. 1834–1838 (2001)
Nefedov, N., Mattellini, G.-P.: Evaluation of Potential Transmit Diversity Schemes with Iterative Receivers in EDGE. In: Proc. IEEE PIMRC (2002)
Nefedov, N., et al.: Iterative Data Detection and Channel Estimation for Advanced TDMA Systems. IEEE Trans. on Comm. 51(2), 141–144 (2003)
Tong, L., Xu, G., Kailath, T.: A New Approach to Blind Identification and Equalization of Multipath Channels. In: Proc. IEEE Asilomar Conf., pp. 856–860 (1991)
Tong, L., Perreau, S.: Multichannel Blind Identification: From Subspace to Maximum Likelihood Methods. Proc. of the IEEE 86, 1951–1968 (1998)
Moulines, E., et al.: Subspace Method for the Blind Identification of Multichannel FIR filters. IEEE Trans. Sig. Processing 43, 516–525 (1995)
Tugnait, J., Huang, B.: Blind Estimation and Equalization of MIMO Channels via Multidelay Whitening. IEEE JSAC 19, 1507–1519 (2001)
Abed-Meraim, K., et al.: On Subspace Methods for Blind Identification of Single- Input Multiple-Output FIR Systems. IEEE Trans. Sig. Processing 45, 42–55 (1997)
Nefedov, N.: Channel estimation methods for space-time block transmission in frequency-flat channels. In: de Souza, J.N., Dini, P., Lorenz, P. (eds.) ICT 2004. LNCS, vol. 3124, pp. 504–509. Springer, Heidelberg (2004)
Boss, D., Kammeyer, K.-D., Petermann, T.: Is Blind Channel Estimation Feasible in Mobile Communications Systems. A Study Based on GSM. In: IEEE JSAC, October 1998, pp. 1479–1492 (1998)
Buchoux, V., et al.: On Performance of Semi-Blind Subspace-Based Channel Estimation. IEEE Trans. Sig. Processing 48, 1750–1759 (2000)
Zhou, S., Muquet, B., Giannakis, G.: Subspace-based (semi-)blind channel estimation for block precoded space-time OFDM. IEEE Trans. Sig. Processing 50, 1215–1228 (2002)
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Nefedov, N. (2004). On Subspace Channel Estimation in Multipath SIMO and MIMO Channels. In: de Souza, J.N., Dini, P., Lorenz, P. (eds) Telecommunications and Networking - ICT 2004. ICT 2004. Lecture Notes in Computer Science, vol 3124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27824-5_72
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DOI: https://doi.org/10.1007/978-3-540-27824-5_72
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