Examining Impacts of Spatial Correlation in Forward Error Correction Code

ABSTRACT

The utilization of Multiple Input Multiple Output – Orthogonal Frequency Division Multiplexing (MIMO-OFDM) has rapidly gained popularity because of its improved performance capabilities in terms of enhanced spatial diversity gain, reliability as well as the spatial multiplexing Gain. This paper discusses the effect of spatial correlation in Forward Error Correction of MIMO-OFDM system. Here, the four error correction codes, namely, Convolutional Code (CC), Low-Density Parity Check (LDPC-CC), and Reed-Solomon code (RSC-CC) is validated under three channel models, namely, Rayleigh, Rician and Additive White Gaussian Noise (AWGN). The analysis is performed using four modulation schemes such as Quadrature Phase Shift Keying (QPSK), Binary Phase Shift Keying (BPSK), Quadrature Amplitude Modulation (QAM)-16, and QAM-64. It is performed under three antenna configurations like 2 × 2, 2 × 4, and 4 × 4. Moreover, the Peak Signal to Noise Ratio (PSNR) is exploited to identify the image transmission, as well as the Bit Error Rate (BER), is exploited to identify the data transmission. In experimental results, the Turbo-CC displays better performance.