Open Access Open Access  Restricted Access Subscription or Fee Access

Practical Analysis of Impact of Transmitter Hardware Impairments for MIMO Channel Measurement


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecos.v9i9.3056

Abstract


Multiple Input Multiple Output MIMO is one of the promising technologies for the high data rate wireless Communication and adapted in many wireless standards. MIMO Channel measurement is an essential process based on which the decoding of symbols, equalization and adaptive transmission can be implemented. Hence, real time measurement of MIMO channel response and characterization is important one. Many research works has been carried out in the area of MIMO channel estimation and measurements under the assumption of no hardware impairment. But the practical hardware suffer from hardware impairments like IQ gain imbalance, skew and phase noise. MIMO systems are very sensitive for the above impairments which  degrades the achievable capacity of the MIMO system. This paper presents an experimental real time study of indoor MIMO capacity measurement incorporating the hardware impairments. Algorithms are written in LABVIEW and implemented in SDR platform of National Instrument 6.6 GHz vector signal generator PXIe 5673 and vector signal analyzer PXIe 5663.
Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords


Channel Measurement; Experimental Study; MIMO Transmitter Hardware Impairment; Least Square Estimate

Full Text:

PDF


References


R. W. Lowdermilk and f. j. harris, “Vector signal analyzer implemented as a synthetic instrument,” IEEE Trans. Instrument. & Measurement, vol. 58, pp. 281-290,Nov. 2009.
http://dx.doi.org/10.1109/tim.2008.2005971

T. Schenk, X.-J. Tao, P. Smulders, and E. Fledderus, “Influence andsuppression of phase noise in multi-antenna OFDM,” in Proc. IEEEVTC 2004-Fall, vol. 2, Sep. 2004, pp. 1443–1447.
http://dx.doi.org/10.1109/vetecf.2004.1400262

T. C. W. Schenk, E. R. Fledderus, and P. F. M. Smulders, “Performanceanalysis of zero-IF MIMO OFDM transceivers with IQ imbalance,”Journal of Comm., vol. 2, no. 7, Dec. 2007.
http://dx.doi.org/10.4304/jcm.2.7.9-19

H. Suzuki, T. Tran, I. Collings, G. Daniels, and M. Hedley, “Transmitternoise effect on the performance of a MIMO-OFDM hardwareimplementation achieving improved coverage,” IEEE Journal on Sel.Areas in Comm., vol. 26, no. 6, pp. 867–876, Aug. 2008.
http://dx.doi.org/10.1109/jsac.2008.080804

Emil Bj¨ornson, JakobHoydis, Marios Kountouris, and M´erouaneDebbah, ”Massive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits”, arXiv:1307.2584v2 [cs.IT] 7 Jan 2014.

MichailMatthaiou, AgisilaosPapadogiannis, Emil Bj¨ornson, and M´erouaneDebbah, ,” Two-Way Relaying under the Presence of Relay Transceiver Hardware Impairments”, IEEE COMMUNICATIONS LETTERS, VOL17, NO. 6, JUNE 2013.

Ranjitham, G., Shankar Kumar, K.R., A mathematical modeling and simulation analysis of lattice reduction algorithms for large MIMO detections, (2014) International Review on Computers and Software (IRECOS), 9 (6), pp. 1065-1073.

Mattera, D., Paura, L., Sterle, F., Widely linear decision-feedback equalizer for time-dispersive linear MIMO channels, (2005) IEEE Transactions on Signal Processing, 53 (7), pp. 2525-2536.
http://dx.doi.org/10.1109/tsp.2005.849196

Mattera, D., Paura, L., Sterle, F., Widely linear MMSE equaliser for MIMO linear time-dispersive channel, (2003) Electronics Letters, 39 (20), pp. 1481-1482.
http://dx.doi.org/10.1049/el:20030945

Mattera, D., Tanda, M., Blind symbol timing and CFO estimation for OFDM/OQAM systems, (2013) IEEE Transactions on Wireless Communications, 12 (1), art. no. 6397549, pp. 268-277.
http://dx.doi.org/10.1109/twc.2012.121112.120296

Mattera, D., Tanda, M., Bellanger, M., Frequency-spreading implementation of OFDM/OQAM systems, (2012) Proceedings of the International Symposium on Wireless Communication Systems, art. no. 6328353, pp. 176-180.
http://dx.doi.org/10.1109/iswcs.2012.6328353

Mattera, D., Tanda, M., Preamble-based synchronization for OFDM/OQAM systems, (2011) European Signal Processing Conference, pp. 1598-1602.
http://dx.doi.org/10.1016/j.sigpro.2012.02.022

Mattera, D., Tanda, M., Data-aided synchronization for OFDM/OQAM systems, (2012) Signal Processing, 92 (9), pp. 2284-2292.
http://dx.doi.org/10.1016/j.sigpro.2012.02.022

Kalkan, Y., On the advantages of frequency-only MIMO radar, (2013) International Journal on Communications Antenna and Propagation (IRECAP), 3 (3), pp. 163-168.

Tami, A., Keche, M., Ouamri, A., New joint blind channel estimation and data detection through a time varying MIMO channel, (2013) International Journal on Communications Antenna and Propagation (IRECAP), 3 (5), pp. 255-260.

Manasra, G., Najajri, O., Rabah, S., Arram, H.A., DWT based on OFDM multicarrier modulation using multiple input output antennas system, (2012) International Journal on Communications Antenna and Propagation (IRECAP), 2 (5), pp. 312-320.

Nawaz, T., Baig, S., Khan, A., The performance comparison of coded WP-OFDM and DFT-OFDM in frequency selective rayleigh fading channel, (2011) International Journal on Communications Antenna and Propagation (IRECAP), 1 (6), pp. 500-505.

Mattera, D., Sterle, F., ML estimation of receiver IQ imbalance parameters, (2007) 2007 International Waveform Diversity and Design Conference, WDD, art. no. 4339401, pp. 160-164.
http://dx.doi.org/10.1109/wddc.2007.4339401


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize