Signal Equalization in MIMO-OFDM Based Sensor Network System

Signal equalization is a most prominent topic to the research world. Equalization is done in order to remove the distortions from the signals at the receiver side which occurs at the time of data transmission. Many equalization techniques had been developed from last few years, zero forcing equalization is one of the equalizers which is widely used to equalize the signals. But the problem of this equalization is that it weakens the signals at receiver side. The paper proposes a new hybrid approach achieving strong and signals free of errors at receiver side. This technique also targets reduction of Bit Error Rate (BER) and Peak-to-Average Power Ratio (PAPR) for signals. The implementation results explain the proficiency of the proposed work in an effective manner.

[1]  David Falconer.  Linear Precoding of OFDMA Signals to Minimize Their Instantaneous Power Variance , 2011, IEEE Trans. Commun..

[2]  Md. Imdadul Islam,et al.  Application of Zero-Forcing Adaptive Equalization in Compensation of Fading Effect of Two-hop Wireless Link , 2011 .

[3]  B. Gupta,et al.  BER performance improvement in MIMO systems using various equalization techniques , 2012, 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing.

[4]  M.G. Taylor,et al.  Coherent detection method using DSP for demodulation of signal and subsequent equalization of propagation impairments , 2004, IEEE Photonics Technology Letters.

[5]  T. Deepa,et al.  Performance analysis of SIMO and MIMO system with equalization , 2013, 2013 International Conference on Communication and Signal Processing.

[6]  Nezam Uddin,et al.  Performance Analysis of Zero Forcing Equalizer in 2×2 and 3×3 MIMO Wireless Channel , 2015 .

[7]  Andrew C. Singer,et al.  Minimum mean squared error equalization using a priori information , 2002, IEEE Trans. Signal Process..

[8]  Himanshu Sharma,et al.  Channel Estimation in OFDM Systems , 2013 .

[9]  Robert Schober,et al.  Cooperative Filter-and-Forward Beamforming for Frequency-Selective Channels with Equalization , 2011, IEEE Transactions on Wireless Communications.

[10]  Yi Jiang,et al.  Performance Analysis of ZF and MMSE Equalizers for MIMO Systems: An In-Depth Study of the High SNR Regime , 2011, IEEE Transactions on Information Theory.

[11]  P. W. Baier,et al.  Zero forcing and minimum mean-square-error equalization for multiuser detection in code-division multiple-access channels , 1996 .

[12]  Garima Malik,et al.  Adaptive Equalization Algorithms: An Overview , 2011 .

[13]  Deepak Sharma,et al.  PERFORMANCE IMPROVEMENT OF OFDM SYSTEM BY USING ICI SELF CANCELLATION TECHNIQUE , 2013 .

[14]  Parul Wadhwa,et al.  BER Analysis & Comparison of Different Equalization Techniques for MIMO-OFDM System , 2013 .

[15]  Ramanpreet Kaur,et al.  Bit Error Rate reduction in MIMO systems using Equalization techniques , 2013 .

[16]  Carlos A. F. da Rocha,et al.  Widely linear MMSE precoding and equalization techniques for SC-FDE systems , 2014, EURASIP J. Adv. Signal Process..

[17]  Khoirul Anwar,et al.  Soft-feedback MMSE equalization for non-orthogonal frequency division multiplexing (n-OFDM) signal detection , 2012, 2012 International ITG Workshop on Smart Antennas (WSA).

[18]  Narinder Sharma,et al.  Channel State Information for Pre-Equalization in MIMO-OFDM System , 2014 .

[19]  R. D. Lamare,et al.  Adaptive Reduced-Rank Equalization Algorithms Based on Alternating Optimization Design Techniques for MIMO Systems , 2011, IEEE Transactions on Vehicular Technology.