In this paper, autoregressive (AR) modeling is used to characterize the frequency responses of the radar targets. The prominent resonances of the radar target are extracted by modeling the wideband target response and are used for target identification. The advantage of this technique compared to the resonance extraction by the multiple frequency radar is the it is applicable to a variety of targets. No a-priori target resonance information is necessary. Results of this approach on real target data classification in terms of percentage correct classification are presented.
Rao M. Nuthalapati,
"Autoregressive modeling of wideband radar signals", Proc. SPIE 2562, Radar/Ladar Processing and Applications, (18 August 1995); doi: 10.1117/12.216948; https://doi.org/10.1117/12.216948