NATURAL RESONANCE EXTRACTION FROM MULTIPLE DATA SETS USING A GENETIC ALGORITHM

This paper presents a scheme to extract the natural frequencies of a r adar target from multiple data sets using a genetic algorithm techniqu e (GAT), This technique prevents the extracted damping coefficients fr om being positive, as often happens with low signal-to-noise ratio dat a, by restricting the search parameters of the damping coefficients to be negative values. The GAT does not require an initial guess, unlike the constrained E-pulse technique (GET). The results from the GAT com pare well with the CET (with much less effort required) and also with such established techniques as the pencil-of-functions method and the nonlinear least-squares technique.