The LMS combined fuzzy algorithm for co-channel interference (CCI) transmission system

In recent years, many adaptive algorithms have been proposed for improving co-channel interference (CCI) problem. In this paper, we adopted the concepts of adaptive filter combined fuzzy logic algorithm with the amplitude-locked loop (ALL) separation system in order to improve the signal distortion interferences of co-channel and noise. The ALL system can be separated the dominant and the subdominant signal from each other. On the other hand, the perfect demodulated output signals of the ALL system is adopted the spectrum or frequency doubly. Using the proposed adaptation algorithm to calculate the optimal weight coefficient and minimize the value of mean-square error (MSE) under the channel signal-to-noise ratio (SNRc). Therefore, we addressed the adaptive fuzzy estimation model to overcome the disadvantages all about that before. Furthermore, from the simulated results of convergence time and the value of MSE, we found the performance of proposed adaptive filter algorithm with fuzzy methodology is better than adaptive LMS algorithm in additive white Gaussian noise (AWGN) channel case.