UAV Channel Estimation with STBC in MIMO Systems

Abstract The combination of coding with spatial diversity opens up new dimensions in wireless communications with emphasize to Unmanned Aerial Vehicles (UAVs), and can offer effective solutions for wireless communication channels. Application of Alamouti Space-Time Block Codes (STBCs) with diversity with multiple antennas provide improved performance in faded wireless channels. Alamouti transmit diversity scheme, however, relies on the availability of accurate Channel State Information (CSI). This paper proposes a channel estimation method based on Kalman filter with STBC codes and multiple antenna systems, namely Multiple-Input Single-Output (MISO) and Multiple-Input Multiple-Output (MIMO) systems. Simulations have been done in time-varying Rayleigh faded channels for BPSK and QPSK. The proposed technique seems to obtain an error performance closer to that of a known channel information case in severely faded channel considerations.

[1]  Kyung Seung Ahn,et al.  Decision feedback detection for space-time block coding over time-selective fading channels , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[2]  Dong-Jo Park,et al.  Novel channel estimation algorithm using Kalman filter for DS-CDMA Rayleigh fading channel , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[3]  G. Bauch.  Space-time block codes versus space-frequency block codes , 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

[4]  Raviraj S. Adve,et al.  Blind Channel Estimation for Orthogonal STBC in MISO Systems , 2007, IEEE Trans. Veh. Technol..

[5]  Wang Ling,et al.  Kalman Filter Channel Estimation Based on Comb-Type Pilot in Time-Varying Channel , 2006, 2006 International Conference on Wireless Communications, Networking and Mobile Computing.

[6]  E. Masoud,et al.  Detection scheme for space-time block codes wireless communications without channel state information , 2008, 2008 11th IEEE Singapore International Conference on Communication Systems.

[7]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

[8]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[9]  Tareq Y. Al-Naffouri,et al.  A Forward-Backward Kalman Filter-based Receiver , 2008, EURASIP J. Adv. Signal Process..

[10]  Lee M. Garth,et al.  Block-Based Performance Measures for MIMO OFDM Beamforming Systems , 2009, IEEE Transactions on Vehicular Technology.

[11]  S. Ohno,et al.  Kalman filter-based channel estimation for space-time block code , 2004, The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04..

[12]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..