Autoregressive modeling of wideband radar signals

Rao M. Nuthalapati

doi:10.1117/12.216948

18 August 1995 Autoregressive modeling of wideband radar signals

Rao M. Nuthalapati

Proceedings Volume 2562, Radar/Ladar Processing and Applications; (1995) https://doi.org/10.1117/12.216948
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Rao M. Nuthalapati "Autoregressive modeling of wideband radar signals", Proc. SPIE 2562, Radar/Ladar Processing and Applications, (18 August 1995); https://doi.org/10.1117/12.216948

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