Performance analysis of convolutional codes over the Bernoulli-Gaussian impulsive noise channel

This paper investigates the performance of convolutional codes with quadrature amplitude modulation transmitted over the Bernoulli-Gaussian impulsive noise channel. First, the performance superiority of blanking over clipping of the symbols affected by noise pulses is proved through the computation of a lower bound on the bit error rate. Next, lower and upper bounds on the bit error rate performance are derived. Finally, bit error rate curves based on Monte Carlo simulations are shown together with the proposed bounds.