Intersymbol Interference In Communication Systems Research Articles

Fast Blind Equalization Using Bounded Non-Linear Function With Non-Gaussian Noise

Blind equalization is widely utilized to eliminate inter-symbol interference in communication system. It is still a challenge to support blind equalization method within non-Gaussian noise environments. Aiming at improving its convergence speed and robustness performance, in this letter, a novel fast blind equalization method is proposed by using bounded nonlinear function (BNF) and quasi-Newton method. Firstly, BNF-based cost function is proposed to effectively eliminate non-Gaussian noise and realize equalization. Next, quasi-Newton method is developed as the iteration method, which can accelerate the convergence speed. Moreover, theoretical analysis is provided to illustrate that the proposed algorithm has a robust convergence performance. Simulation results show that the proposed method enables evident performance improvement in terms of convergence speed and robustness with non-Gaussian noise.

Suppression method of inter-symbol interference in communication system based on mathematical chaos theory

Inter-symbol interference (ISI) is prone to occur in the operation of communication system, which affects the quality of communication. Therefore, the suppression method of ISI in communication system based on mathematical chaos theory is studied to optimize the quality of communication transmission. Based on the analysis of the principle of ISI in communication system, it is known that multi-path delay can lead to ISI. The multi-path channel model of communication system is constructed, the multi-path component delay of the channel is calculated, and the inter-symbol interference is suppressed by setting a reasonable delay. The equalizer’s weight vector of communication channel is optimized by using chaotic optimization algorithm, the optimized equalizer tap of communication channel is obtained, and the reasonable multi-path component delay of channel is calculated to effectively suppress ISI. The simulation results show that the suppression method of ISI based on mathematical chaos theory can effectively overcome the ISI of multi-path channel, improve the resolution of transmission signal and the quality of communication transmission.