A Novel Pilot Expansion Approach for MIMO Channel Estimation

Ming Fei SIYAU, Tiancheng LI, Jonathan LOO

Abstract


A training-based MIMO channel estimation scheme is presented to operate in severe frequency and time selective fading channels. Besides the new pilot bits designed from the ‘Paley-Hadamard’ matrix to exploit its orthogonal and ‘Toeplitz-like’ structures and minimising its pilot length, a novel pilot expansion technique is proposed to estimate the length of the channel impulse response, by flexibly extending its pilot length as required in order to capture the number of multipath existed within the MIMO channel. The pilot expansion can also help to deduce the initial channel variation and its Doppler rate which can be subsequently applied for MIMO channel tracking using decision feedback Kalman filter during the data payload.


Keywords


MIMO; Pilot Expansion technique; Paley-Hadamard matrix; Feedback Kalman filter

Full Text:

PDF

References


ANGELOSANTE, D., BIGLIERI, E., LOPS, M. “Sequential Estimation of Multipath MIMO-OFDM Channels,” IEEE Trans. Sign. Proc., vol. 57, no. 8, pp. 3167-3181, Aug. 2009.

BARHUMI, I., LEUS G., MOONEN, M. “Optimal training design for MIMO OFDM systems in mobile wireless channels,” IEEE Trans. Sign. Proc., vol. 51, no. 6, pp. 1615-1624, June. 2003.

BELLO, P. A. "Characterization of randomly time-variant linear channels," IEEE Trans. Commun. Syst., vol.CS-11, pp.360-393, Dec. 1963.

BIGUESH, M., GERSHMAN, A. B. “Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals,” IEEE Trans. on Sign. Proc., vol. 54, no.3, pp. 884-893, Mar. 2006.

BOGALE, T. E., LE, L. B. Pilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems, The 48th Annual Conference in Information Sciences and Systems, March 19-21, 2014, Princeton, NJ, United States.

CARRASCOSA, C., BAJO, J., JULIAN, V., CORCHADO, J.M., BOTTI, V. Hybrid multi-agent architecture as a real-time problem-solving model, Expert Systems with Applications, Volume 34, Issue 1, pp. 2-17, January 2008.

CHEN, Y. C., SU, Y.T. “MIMO channel estimation in correlated fading environment,” IEEE Trans. Wireless Commun. vol. 9, no. 3, pp. 1108-1119, Mar. 2010.

CORCHADO, J.M., BAJO, J., TAPIA, D.I., ABRAHAM, A. Using Heterogeneous Wireless Sensor Networks in a Telemonitoring System for Healthcare, IEEE Transactions on Information Technology in Biomedicine, vol.14, no.2, pp.234-240, March 2010

DE PAZ SANTANA, J. F., VILLARRUBIA, G., BAJO, J., SIRVENT, G. and LI, T. Indoor Location System for Security Guards in Subway Stations, 12th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS'14) Salamanca, Spain, 4-6 June, 2014.

DENT, P., BOTTOMLEY, G. AND CROFT, T. "Jakes fading model revisited," Elec. Letters, vol. 29, no. 13, pp. 1162-1163, July. 2006.

DUEL-HALLEN, A. “Fading Channel Prediction for Mobile Radio Adaptive Tx. Systems,” Proc. of IEEE, vol. 95, no. 12, pp. 2299-2313, Dec. 2007.

HUANG, Q., GHOGHO, M., FREEAR, S. “Pilot Design for MIMO OFDM Systems With Virtual Carriers,” IEEE Trans. Sign. Proc., vol. 57, no. 5, pp. 2024-2029, May. 2009.

KOMNINAKIS, C., FRAGOULI, C. A. H. SAYED, R. D. WESEL, “MIMO fading channel tracking and equalization using Kalman estimation,” IEEE Trans. on Sign. Proc., vol. 50, pp. 1065-1076, May 2002.

LI, Y.G., WINTERS, J.H., SOLLENBERGER, N.R.” MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation,” IEEE Trans. Commun., vol. 50, no. 9, pp. 1471-1477, Sept. 2002.

MA, J., ORLIK, P., ZHANG, J., LI, G.Y. Pilot Matrix Design for Estimating Cascaded Channels in Two-Hop MIMO Amplify-and-Forward Relay Systems, IEEE Transactions on Wireless Communications, vol.10, no.6, pp.1956-1965, 2011.

MANASSEH, E., OHNO, S. AND YAMAMOTO, T. Efficient training design for estimation of channel, CFO, and receiver I/Q imbalance in MIMO-OFDM systems, Communications and Information Technologies (ISCIT), 2013 13th International Symposium on , pp.364-368, 4-6 Sept. 2013.

RODRÍGUEZ, S., ZATO, C., LI, T. AND CORCHADO, J. M. Fusion system based on multi-agent systems to merge data from WSN, FUSION 2014, Salamanca, Spain, July 7-10, 2014.

SAMPATH, H., TALWAR, S., TELLADO, J., ERCEG, V., PAULRAJ, A.“A 4th G MIMO-OFDM broadband wireless design, performance, and field trial results,” IEEE Comms. Mag. vol.40, no.9, pp.143–149, 2002.

SIYAU, M. F., NOBLES, P., ORMONDROYD, R.F. “Channel estimation for layered space-time systems in time-varying frequency selective wireless channels,” IEEE Conf. on Veh. Tech, vol. 2, pp. 1258-1262, Oct 2003.

SIYAU, M. F., ORMONDROYD, R. AND NOBLES, P. “Performance of a layered ST system with a fractionally-spaced channel estimator in a TS & FS wireless channels,” IEEE on Conf. Veh. Tech., vol. 4, pp. 2467-2472, Sept 2004.

SONG, W.-G., LIM, J.-T. “Channel estimation and signal detection for MIMO-OFDM with time varying channels,” IEEE Commun. Letter, vol. 10, no. 7, pp. 540-542, July. 2006.

STUBER, G. L., BARRY, J. R., MCLAUGHLIN, S. W., LI, Y., INGRAM, M. A., PRATT, T.G. “Broadband MIMO-OFDM Wireless Communications,” Proc. of IEEE, vol. 92, issue. 2, pp. 271–294, Nov. 2004.

WANG, S. Q., ABDI, A. “Optimal training sequence for efficient MIMO frequency selective fading channel estimation,” IEEE Sarnoff Symposium, Mar. 2006.

WANG, X., HO, P., WU, Y. “Robust channel estimation and ISI cancellation for OFDM systems with suppressed features,” IEEE J. Sel. Area in Commun., vol. 23, no. 5, pp. 963-972, May. 2005.

ZAMIRI-JAFARIAN, H., PASUPATHY, S. “Robust and Improved Channel Estimation Algorithm for MIMO-OFDM Systems,” IEEE Trans. Wireless Commun. vol. 6, no. 6, pp. 2106-2113, June. 2007.

ZHONG, K., LEI, X., LI, S. “Iterative channel estimation and data detection for MIMO-OFDM systems operating in time-frequency dispersive channel under unknown background noise,” EURASIP Journal on Wireless Comms. and Networking, July 2013.




DOI: http://dx.doi.org/10.14201/ADCAIJ2014331220





Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Clarivate Analytics