Efficient signal processing algorithms for radar and telecommunication systems

摘要

It is proposed to develop a quasi-optimal RF-pulse signal receiver algorithm based on Markov theory of nonlinear filtering. Evaluating the synthesized algorithm efficiency is founded on a semi-natural experiment of processing the signal mixed with Johnson or white Gaussian noises. The developed algorithm has been simulated in Simulink MatLab. The experiment was implemented on the installation of the wireless communication National Instruments PXIe-1075. The gain in the signal to noise ratio of the nonlinear Markov filtering algorithm compared with the adaptive algorithm is from 2 to 5 dB for white Gaussian noise and various Johnson noises for correct reception error probability equaled to 0.1. The SL Johnson noise has the best masking effect, and the SB Johnson noise has the worst one.