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Performance analysis and design of MIMO-OFDM system using concatenated forward error correction codes

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An Erratum to this article was published on 01 August 2017

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Abstract

This work investigates the performance of various forward error correction codes, by which the MIMO-OFDM system is deployed. To ensure fair investigation, the performance of four modulations, namely, binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), quadrature amplitude modulation (QAM)-16 and QAM-64 with four error correction codes (convolutional code (CC), Reed-Solomon code (RSC)+CC, low density parity check (LDPC)+CC, Turbo+CC) is studied under three channel models (additive white Guassian noise (AWGN), Rayleigh, Rician) and three different antenna configurations(2×2, 2×4, 4×4). The bit error rate (BER) and the peak signal to noise ratio (PSNR) are taken as the measures of performance. The binary data and the color image data are transmitted and the graphs are plotted for various modulations with different channels and error correction codes. Analysis on the performance measures confirm that the Turbo + CC code in 4×4 configurations exhibits better performance.

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Change history

  • 17 September 2017

    Figures 14–25 in the original version of the article are incorrect and they should be replaced as follows: Fig. 14 PSNR analysis of MIMO-OFDM system with BPSK modulation and FEC schemes in AWGN environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 15 PSNR analysis of MIMO-OFDM system with QPSK modulation and FEC schemes in AWGN environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 16 PSNR analysis of MIMO-OFDM system with QAM-16 modulation and FEC schemes in AWGN environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 17 PSNR analysis of MIMO-OFDM system with QAM-64 modulation and FEC schemes in AWGN environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 18 PSNR analysis of MIMO-OFDM system with BPSK modulation and FEC schemes in Rayleigh environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 19 PSNR analysis of MIMO-OFDM system with QPSK modulation and FEC schemes in Rayleigh environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 20 PSNR analysis of MIMO-OFDM system with QAM-16 modulation and FEC schemes in Rayleigh environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 21 PSNR analysis of MIMO-OFDM system with QAM-64 modulation and FEC schemes in Rayleigh environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 22 PSNR analysis of MIMO-OFDM system with BPSK modulation and FEC schemes in Rician environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 23 PSNR analysis of MIMO-OFDM system with QPSK modulation and FEC schemes in Rician environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 24 PSNR analysis of MIMO-OFDM system with QAM-16 modulation and FEC schemes in Rician environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding Fig. 25 PSNR analysis of MIMO-OFDM system with QAM-64 modulation and FEC schemes in Rician environment: (a) Only convolutional coding, CC; (b) LDPC concatenated with convolutional coding, LDPC+CC; (c) RSC concatenated with convolutional coding, RSC+CC; (d) Turbo codes concatenated with convolutional coding

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Authors and Affiliations

  1. School of Electrical Engineering, Department of Information Technology, AMET University, Tamil Nadu, Chennai, 603112, India

    Arun Agarwal

  2. Department of Electronics and Telecommunication Engineering, Vidyalankar Institute of Technology, Mumbai, 400037, Maharashtra, India

    Saurabh N. Mehta

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  1. Arun Agarwal
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  2. Saurabh N. Mehta
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Correspondence to Arun Agarwal.

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An erratum to this article is available at https://doi.org/10.1007/s11771-017-3599-1.

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Agarwal, A., Mehta, S.N. Performance analysis and design of MIMO-OFDM system using concatenated forward error correction codes. J. Cent. South Univ. 24, 1322–1343 (2017). https://doi.org/10.1007/s11771-017-3537-2

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