A new blind fir system estimation method based on genetic algorithm
基于遗传算法的盲信道估计新算法

In this paper, a genetic algorithm is proposed for blind FIR system estimation based on a Single-Iriput-Multiple-Output (SIMO) model. The key proposition is that the parameters are estimated blindly by using a lower-order statistics based cost function thus the computation can be saved. Both the order and parameters of the channel are encoded in one chromosome, thus they can be estimated jointly without assuming the channel order is known. Simulation results show that the algorithm performs better than traditional algorithms.