Abstract
High mobility support of multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems plays a major role in wireless communication systems. Conventional detection approaches for MIMO-OFDM systems assume the channel is constant for at least one OFDM symbol duration. However, the time variation of the channel on account of mobility over an OFDM symbol period causes a loss of subchannel orthogonality which results in inter-carrier interference. In this paper, we propose the space alternating generalized expectation maximization (SAGE) based signal detection for MIMO-OFDM systems and compared by the zero forcing (ZF), minimum mean square error (MMSE), vertical Bell laboratories layered space-time (VBLAST) detection methods by considering complexity and performance tradeoffs. Simulation results show that the SAGE based detection has comparable performance with the VBLAST while needs lower computational complexity. It is also shown that both SAGE and VBLAST have a clear BER performance advantage over the MMSE and ZF detections. We also investigate the sensitivity of detection MIMO-OFDM signals to channel estimation errors by the application of a simple frequency domain based pilot based channel estimation. It is shown that the superiority of the SAGE scheme is also valid in the case of channel imperfections.
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Li, Y., Winters, J., & Sollenberger, N. (2002). MIMO-OFDM for wireless communications: Signal detection with enhanced channel estimation. IEEE Transactions on Communications, 50(9), 1471–1477.
Willink, T. (2005). MIMO-OFDM for broadband fixed wireless access. IEE Proceedings on Communications, 152(1), 75–81.
Rossi, P., & Muller, R. (2008). Joint twofold-iterative channel estimation and multiuser detection for MIMO-OFDM systems. IEEE Transaction on Wireless Communications, 7(11 Part 2), 4719–4729.
Glickenstein, H. (2009). High-speed trains [transportation systems]. Vehicular Technology Magazine IEEE, 4(4), 9–14.
Li, Y., & Cimini, L. (2001). Bounds on the interchannel interference of OFDM in time-varying impairments. IEEE Transactions on Communications, 49(3), 401–404.
Stamoulis, A., Diggavi, S. N., & Al-Dhahir, N. (2002). Intercarrier interference in MIMO-OFDM. IEEE Transaction on Signal Processing, 50(10), 2451–2464.
Barhumi, I., Leus, G., & Moonen, M. (2006). Equalization for OFDM over doubly-selective channels. IEEE Transaction on Signal Processing, 54(4), 1445–1458.
Huang, X., & Wu, H.-C. (2007). Robust and efficient intercarrier interference mitigation for OFDM systems in time-varying fading channels. IEEE Transactions on Vehicular Technology, 56(5), 2517–2528.
Jeon, W. G., Chang, K. H., & Cho, Y. S. (1999). An equalization technique for orthogonal frequency-division multiplexing systems in time-variant multipath channels. IEEE Transactions on Communications, 47(1), 27–32.
Rugini, L., Banelli, P., & Leus, G. (2005). Simple equalization of time-varying channels for OFDM. IEEE Communications Letters, 9(7), 619–621.
Schniter, P. (2004). Low-complexity equalization of OFDM in doubly-selective channels. IEEE Transactions on Signal Processing, 52(4), 1002–1011.
Rugini, L., Banelli, P., & Leus, G. (2006). Low-complexity banded equalizers for OFDM systems in Doppler spread channels. EURASIP Journal on Applied Signal Processing, 2006, 1–13.
Gorokhov, A., & Linnartz, J. P. (2004). Robust OFDM receivers for dispersive time-varying channels: Equalization and channel acquisition. IEEE Transactions on Communications, 52(4), 572–583.
Tonello, A. (2002). Asynchronous multicarrier multiple access: Optimal and sub-optimal detection and decoding. Bell Labs Technical Journal, 7(3), 191–217.
Choi, Y.-S., Voltz, P. J., & Cassara, F. A. (2001). On channel estimation and detection for multicarrier signals in fast and selective Rayleigh fading channels. IEEE Transactions on Communications, 49(8), 1375–1387.
Tomasin, S., Gorokhov, A., Yang, H., & Linnartz, J.-P. (2005). Iterative interference cancellation and channel estimation for mobile OFDM. IEEE Transactions on Wireless Communications, 4(1), 238–245.
Hou, S. W., & Ko, C. C. (2009). Intercarrier interference suppression for OFDMA uplink in time-and frequency-selective fading channels. IEEE Transactions on Vehicular Technology, 58(6), 2741–2754.
Dogan, H., Panayirci, E., & Poor, H. V. (2010). Low-complexity joint data detection and channel equalisation for highly mobile orthogonal frequency division multiplexing systems. IET Communications, 4(8), 1000–1011.
Hsu, C. Y., & Wu, W. R. (2009). Low-complexity ICI mitigation methods for high-mobility SISO/MIMO-OFDM systems. IEEE Transactions on Vehicular Technology, 58(6), 2755–2768.
Beheshti, M., Omidi, M., & Doost-Hoseini, A. (2010). Frequency-domain equalization for MIMO-OFDM over doubly selective channels. In 5th International symposium on telecommunications (IST), 2010 (pp. 431–436).
Park, K.-W., & Cho, Y.-S. (2005). An MIMO-OFDM technique for high-speed mobile channels. IEEE Communications Letters, 9(7), 604–606.
Zamiri-Jafarian, H., & Pasupathy, S. (2007). Robust and improved channel estimation algorithm for MIMO-OFDM systems. IEEE Transactions on Wireless Communications, 6(6), 2106–2113.
Pirak, C., Wang, J., Liu, K., & Jitapunkul, S. (2006). Adaptive channel estimation using pilot-embedded data-bearing approach for MIMO-OFDM systems. IEEE Transactions on Signal Processing, 54(12), 4706–4716.
Song, W.-G., & Lim, J.-T. (2006). Channel estimation and signal detection for MIMO-OFDM with time varying channels. IEEE Communications Letters, 10(7), 540–542.
Hardjawana, W., Li, R., Vucetic, B., Li, Y., & Yang, X. (2010). A new iterative channel estimation for high mobility MIMO-OFDM systems. In Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st (pp. 1–5).
Yang, B., Cao, Z., & Letaief, K. B. (2001). Analysis of low-complexity windowed DFT-based MMSE channel estimator for OFDM systems. IEEE Transactions on Communications, 49(11), 1977–1987.
Wu, Y., & Luo, H. (2008). Channel estimation for MIMO-OFDM systems in non-sample-spaced multipath channels. In Congress on Image and Signal Processing, 2008. CISP ’08 (Vol. 5, pp. 88–92).
**e, Y., Li, Q., & Georghiades, C. N. (2007). On some near optimal low complexity detectors for MIMO fading channels. IEEE Transactions on Wireless Communication, 6(4), 1182–1186.
Yalcin, M., Akan, A., & Dogan, H. (2012). Low-complexity channel estimation for OFDM systems in high mobility fading channels. Turkish Journal of Electrical Engineering and Computer Science, 20(4), 583–592.
Fessler, J., & Hero, A. (1994). Space-alternating generalized expectation-maximization algorithm. IEEE Transactions on Signal Processing, 42(10), 2664–2677.
Dogan, H. (2008). EM/SAGE based ML channel estimation for uplink DS-CDMA systems over time-varying fading channels. IEEE Communications Letters, 12(10), 740–742.
Barhumi, I., Leus, G., & Moonen, M. (2003). Optimal training design for MIMO-OFDM systems in mobile wireless channels. IEEE Transactions on Signal Processing, 51(6), 1615–1624.
Ahmadi, S. (2010). Mobile WiMAX: A systems approach to understanding IEEE 802.16 m radio access technology. Waltham: Academic Press.
Patzold, M. (2003). Mobile fading channels. New Jersey: Wiley.
“3GPP TS 25.943 V6.0.0, Deployment aspects (Release 6),” 2004-12.
Biglieri, E. (2005). Coding for wireless channels. New York: Springer.
Moiseev, S., Filin, S., Kondakov, M., Garmonov, A., & Savinkov, A. (Sept 2006). Practical propagation channel robust BLER estimation in the OFDM/TDMA and OFDMA broadband wireless access networks. In Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th (pp. 1–5).
Peng, W., Adachi, F., Ma, S., Wang, J., & Ng, T.-S. (Nov 2008). Effects of channel estimation errors on V-BLAST detection. In Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE (pp. 1–5).
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This work is supported in part by the Research Fund of the University of Istanbul. Project number: 45861.
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Doğan, H. On Detection in MIMO-OFDM Systems Over Highly Mobile Wireless Channels. Wireless Pers Commun 86, 683–704 (2016). https://doi.org/10.1007/s11277-015-2952-7
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DOI: https://doi.org/10.1007/s11277-015-2952-7