Improving MIMO systems performances by concatenating LDPC decoder to the STBC and MRC receivers

Multiple-input multiple-output (MIMO) systems are commonly used in wireless communications to ensure high bit-rate and high capacity transmission. Space time block coding (STBC) is a technique used in MIMO to provide transmit diversity in communication over fading channels. Although STBC has full diversity gain, the coding gain need to be improved by using channel coding such as low density parity check (LDPC) codes or Turbo codes. This paper evaluates the performance of MIMO systems and the improvement obtained by concatenating LDPC codes. MIMO are based on spatially separated multiple transmitting and receiving antennas to provide diversity. This helps combatting the effect of multipath fading in wireless channels. For single-input multiple-output (SIMO) schemes, maximum ratio combining (MRC) receiver are used to handle redundantly the same information-bearing signal over two or more fading channel. The output of this receiver consist on soft decision metrics that can be fed to LDPC decoder for error correction. For MIMO and multiple-input single-output (MISO) systems, space time block codes (STBC) are used to generate orthogonal signals to avoid interference between signal streams. These signals are transmitted at slightly different times to benefit from temporal diversity. LDPC codes are used in conjunction with STBC to improve the error capability. This paper investigates diversity coding for MIMO systems combined with LDPC soft decoding. Performances of the proposed scheme in terms of bit error rates are reported.

[1]  A. Robert Calderbank,et al.  Space-time block coding for wireless communications: performance results , 1999, IEEE J. Sel. Areas Commun..

[2]  M. J. Gans Aircraft free-space MIMO communications , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[3]  Radford M. Neal,et al.  Near Shannon limit performance of low density parity check codes , 1996 .

[4]  Ammar Bouallegue,et al.  Capacity and Performance of MIMO systems for Wireless Communications , 2014 .

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

[6]  Tim Brown,et al.  Practical guide to the MIMO radio channel with MATLAB examples , 2012 .

[7]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[8]  Robert Michael Tanner,et al.  A recursive approach to low complexity codes , 1981, IEEE Trans. Inf. Theory.

[9]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[10]  Jinghu Chen,et al.  Near optimum universal belief propagation based decoding of low-density parity check codes , 2002, IEEE Trans. Commun..

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

[12]  Akbar M. Sayeed,et al.  Multi-Antenna Capacity of Sparse Multipath Channels , 2006 .

[13]  Ran Gozali,et al.  Space-Time Codes for High Data Rate Wireless Communications , 2002 .

[15]  N. B. Chopade,et al.  Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance , 2014 .

[16]  Mendoza Freedie Damasco. Simple transmit diversity technique for wireless communications , 2003 .

[17]  Hamid Jafarkhani,et al.  The application of orthogonal designs to wireless communication , 1998, 1998 Information Theory Workshop (Cat. No.98EX131).

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