Channel estimation for OFDM-IM systems

Orthogonal frequency division multiplexing with index modulation (OFDM-IM) has been recently proposed to increase the spectral efficiency and improve the error performance of multicarrier communication systems. However, all the OFDM-IM systems assume that the perfect channel state information is available at the receiver. Nevertheless, channel estimation is a challenging problem in practical wireless communication systems for coherent detection at the receiver. In this paper, a novel method based on the pilot symbol-aided channel estimation technique is proposed and evaluated for OFDM-IM systems. Pilot symbols, which are placed equidistantly, allow the regeneration of the response of the channel so that pilot symbol spacing can fulfill the sampling theorem criterion. Our results shows that the low-pass interpolation and SPLINE techniques perform the best among all the channel estimation algorithms in terms of bit error rate and mean square error performance.

[1]  R. E. Carlson,et al.  Monotone Piecewise Cubic Interpolation , 1980 .

[2]  S. A. Dyer,et al.  Cubic-spline interpolation: part 2 , 2001 .

[3]  J. Vlach,et al.  Interpolation using the fast Fourier transform , 1972 .

[4]  Erdal Panayirci,et al.  On channel estimation for spatial modulated systems over time-varying channels , 2015, Digit. Signal Process..

[5]  M. Ergen,et al.  A study of channel estimation in OFDM systems , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[6]  Erdal Panayirci,et al.  Interpolation based pilot-aided channel estimation for STBC spatial modulation and performance analysis under imperfect CSI , 2016, IET Commun..

[7]  H. Vincent Poor,et al.  Orthogonal Frequency Division Multiplexing With Index Modulation , 2012, IEEE Transactions on Signal Processing.

[8]  Erdal Panayirci,et al.  Pilot Symbol Aided Channel Estimation for Spatial Modulation-OFDM Systems and its Performance Analysis with Different Types of Interpolations , 2017, Wirel. Pers. Commun..

[9]  Donald Fraser,et al.  Interpolation by the FFT revisited-an experimental investigation , 1989, IEEE Trans. Acoust. Speech Signal Process..

[10]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multi-element antenna systems , 1998, ICUPC '98. IEEE 1998 International Conference on Universal Personal Communications. Conference Proceedings (Cat. No.98TH8384).

[11]  Aria Nosratinia,et al.  Antenna selection in MIMO systems , 2004, IEEE Communications Magazine.

[12]  Jeffrey G. Andrews,et al.  Fundamentals of WiMAX: Understanding Broadband Wireless Networking , 2007 .

[13]  Jiangzhou Wang,et al.  Effect of channel-estimation error on QAM systems with antenna diversity , 2005, IEEE Trans. Commun..

[14]  Meng-Han Hsieh,et al.  Channel estimation for OFDM systems based on comb-type pilot arrangement in frequency selective fading channels , 1998 .

[15]  George V. Tsoulos,et al.  Estimating MIMO system performance using the correlation matrix approach , 2002, IEEE Communications Letters.

[16]  Carl de Boor,et al.  A Practical Guide to Splines , 1978, Applied Mathematical Sciences.

[17]  Harald Haas,et al.  Index Modulation Techniques for Next-Generation Wireless Networks , 2017, IEEE Access.

[18]  S. Nash,et al.  Numerical methods and software , 1990 .

[19]  S. Dyer,et al.  Cubic-spline interpolation. 1 , 2001 .

[20]  Ertugrul Basar,et al.  Index modulation techniques for 5G wireless networks , 2016, IEEE Communications Magazine.

[21]  Haifeng Wang,et al.  Time-domain interpolated channel estimation with noise suppression for multicarrier transmissions , 2004, Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738).

[22]  Erik Dahlman,et al.  4G: LTE/LTE-Advanced for Mobile Broadband , 2011 .

[23]  Chang Wook Ahn,et al.  Spatial Modulation - A New Low Complexity Spectral Efficiency Enhancing Technique , 2006, 2006 First International Conference on Communications and Networking in China.

[24]  Sinem Coleri Ergen,et al.  Channel estimation techniques based on pilot arrangement in OFDM systems , 2002, IEEE Trans. Broadcast..