Commenced in January 2007
Paper Count: 30750
Implementation of Channel Estimation and Timing Synchronization Algorithms for MIMO-OFDM System Using NI USRP 2920
Abstract:MIMO-OFDM communication system presents a key solution for the next generation of mobile communication due to its high spectral efficiency, high data rate and robustness against multi-path fading channels. However, MIMO-OFDM system requires a perfect knowledge of the channel state information and a good synchronization between the transmitter and the receiver to achieve the expected performances. Recently, we have proposed two algorithms for channel estimation and timing synchronization with good performances and very low implementation complexity compared to those proposed in the literature. In order to validate and evaluate the efficiency of these algorithms in real environments, this paper presents in detail the implementation of 2 × 2 MIMO-OFDM system based on LabVIEW and USRP 2920. Implementation results show a good agreement with the simulation results under different configuration parameters. Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 47
 Y. Zhuang, J. Cappos, T. S. Rappaport, and R. McGeer, ”Future Internet bandwidth trends: An investigation on current and future disruptive technologies”, Secure Systems Lab, Dept. Comput. Sci. Eng., Polytech. Inst. New York Univ., New York, USA, 1955. January 2013.
 S. Din and A. Paul, ”Smart health monitoring and management system: Toward autonomous wearable sensing for Internet of things using big data analytics”, Future Generation Computer Systems, Elsevier, 2018.
 J. Loo, J. Mauri and J. Ortiz. ”Mobile ad hoc networks: current status and future trends”. London: CRC Press, 2016. ISBN 978-1-4200-8812-0.
 U. Jha and R. Prasad. ”OFDM towards fixed and mobile broadband wireless access”. London: Artech House, 2007. ISBN 978-1-58053-641-7.
 G. Tsoulos, ”MIMO system technology for wireless communications”, London: CRC press, 2006. ISBN 978-0849341908
 V. Tarokh, A. Naguib, N. Seshadri and A. R. Calderbank, ”Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths,” IEEE Transactions on Communications. 1999, vol. 47, pp. 199–207. ISSN 0090-6778.
 T. Schmidl and D. Cox. ”Robust frequency and timing synchronization for OFDM”, IEEE Transactions on Communications. 1997, vol. 45, pp. 1613–1621. ISSN 1558-0857.
 C. Jieping, ”An improved training sequence based timing synchronization algorithm for MIMO-OFDM system”, Fifth International Conference on Intelligent Systems Design and Engineering Applications . Hunan, China: IEEE, 2014.
 A. Sreedhar, S. Sekhar and S. Pillai, ”An efficient preamble design for timing synchronization in MIMO-OFDM systems”, International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). Kumaracoil, India: IEEE, 2015.
 L. Nasraoui, L. Atallah and M. Siala, ”Robust Synchronization Approach for MIMO-OFDM Systems with Space-Time Diversity”, 81st Vehicular Technology Conference (VTC Spring). Glasgow, UK: IEEE, 2015.
 A. Beydoun, H. Alaeddine and H. Elmokdad, ”New fast time synchronization method for MIMO-OFDM systems”, 11th IFIP Wireless and Mobile Networking Conference (WMNC). Prague: IEEE, 2018.
 A. Beydoun, and H. Alaeddine, ”Low-complexity channel estimation algorithm for MIMO-OFDM systems”, World Academy of Science Engineering and Technology (WASET): International Journal of Computer and Systems Engineering . 2019, vol. 3, eISSN:1307-6892.
 E. Larsson and P. Stoica, ”Space-time block coding for wireless communications”, London: Cambridge university press, 2008. ISBN 978-0511550065
 A. Shokair, A. Beydoun, D.G. Pham, C. Jabbour and P. Desgreys. ”Wide band digital predistortion using iterative feedback decomposition”. Analog Integrated Circuits and Signal Processing. 2018, vol. 0, pp. 1–16. ISSN 1573-1979.
 NI USRP 2920 Specifications. Available at: http://www.ni.com.