A chaotic digital secure communication based on a modified gravitational search algorithm filter

Research in recent years has seen the development of chaotic systems for secure communication. However, most chaotic systems fail to compensate for channel noise which often degrades the performance of chaos-based secure communication systems. In this work, we propose a chaotic secure communication scheme based on the Modified Gravitational Search Algorithm (MGSA), which minimizes premature convergence of Gravitational Search Algorithm (GSA). Here, we apply the MGSA-based filter to the proposed communication scheme to reduce channel noise. Computer simulations with the unified chaotic map are done to verify the feasibility of the proposed secure communication scheme. The results show that the proposed new scheme accurately estimates the states and information symbols, and provides a lower bit error rate (BER) than existing secure communication schemes. Furthermore, the MGSA is tested on the nonlinear filter modeling and compared with GSA and particle swarm optimization (PSO). The results confirm the high performance of the MGSA-based filter in parameters estimation of nonlinear filter modeling. In other words, the more accurately the MGSA estimates the parameters, the more noise the filter reduces.