Radar target identification by natural resonances: evaluation of signal processing algorithms
Lazarakos, Gregory A.
Morgan, Michael A.
Knorr, Jeffrey B.
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When a radar pulse impinges upon a target, the resultant scattering process can be solved as a linear time-invariant (LTI) system problem. The system has a transfer function with poles and zeros. Previous work has shown that the poles are independent of the exciting waveform and target's aspect, but they are dependent on the targets' structure and geometry. This thesis evaluates the resonance estimation performance of two signal processing techniques: The Kumaresan-Tufts algorithm and the Cadzow-Solomon algorithm. Both algorithms are programmed using MATLAB. Test data used to evaluate these algorithms includes synthetic and integral equation generated signals, with and without additive noise, in addition to new experimental scattering data from a thin wire, aluminum spheres and scale model aircraft.
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