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Natural resonance extraction from multiple data sets using a genetic algorithm

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4 Author(s)
Ilavarasan, P. ; Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA ; Rothwell, E.J. ; Chen, Y.F. ; Nyquist, D.P.

The paper presents a scheme to extract the natural frequencies of a radar target from multiple data sets using a genetic algorithm technique (GAT). This technique prevents the extracted damping coefficients from being positive, as often happens with low signal-to-noise ratio data, 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 (CET). The results from the GAT compare 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

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Antennas and Propagation, IEEE Transactions on  (Volume:43 ,  Issue: 8 )