Analysis Of Interference Signal In Electronic Experiment And Design Of Anti-jamming Simulation

Research on anti-interference is an indispensable part in electronic research andexperiment. Effective anti-interference measures are key to modern electronic signalprocessing. It can improve the precision of electronic experiments, and it can also ensurethe success of the experiment, and accelerate the process of electronic research.Based on the actual practice in work, this thesis tests the interference signal ofelectronic experiments, analyzes its origin and forms, and cames up with some measures.More emphasis is put on the analysis of filter, which is one of the key measures to combatinterference, and studys the Adaptive filter optimization problems in detail. The analysisof the two common optimizations---LMS and RLS, indicates that there are defects in theprocess of optimization of filter weights: The first is that high speed convergence and can’thave little steady-state error. It is difficult to accurately find the optimal solution.Highspeed convergence and steady-state error cannot be both in good function. It is difficult tofind the optimal solution. The other is that the optimization is too complex, and it isdifficult to solve timely. In order to address the deficiencies of LMS algorithm, this thesisexamines the current widely used simulated annealing and genetic algorithms, analysis ofthe characteristics of both, making full use of advantages of simulated annealing andgenetic algorithms. The thesis combine the two algorithms by using simulated annealingand genetic algorithm to optimize the filter.To overcome the two defects mentioned above,this thesis studys the two widely used optimization---simulated annealing and geneticalgorithms, and combines their advantages to optimize the filter. In order to verify theeffectiveness of algorithms, we use Matlab software for simulation, the comparison resultsof LMS algorithm and simulated annealing genetic algorithm proved the effectiveness ofthis algorithm.This thesis applies the comparison, analysis, computer simulation and othermethods against interference and conducted a study on the optimization of filter, researchinnovation is that:Research methods such as the comparison, analysis, computer simulation are adoptedin the study of the anti-interference and filter. The innovation of the thesis is that we usenew optimization of simulated annealing genetic algorithm instead of the traditional filteralgorithm--LMS algorithm, and the new optimization improved the filter effect.