Autoregressive Modelling Techniques for Enhanced TWRI

Comert S. V., Erer I.

2021 IEEE Conference on Antenna Measurements and Applications, CAMA 2021, Antibes Juan-les-Pins, France, 15 - 17 November 2021, pp.398-401 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/cama49227.2021.9703483
  • City: Antibes Juan-les-Pins
  • Country: France
  • Page Numbers: pp.398-401
  • Keywords: autoregressive modeling, MUSIC spectral estimate, spectral estimation, Through the wall radar
  • Istanbul Technical University Affiliated: Yes

Abstract

© 2021 IEEE.High resolution methods such as spectral estimation or compressive sensing based ones have been proposed for through-wall radar (TWR) since conventional beam-forming approach suffers from high side-lobes besides low resolution. In this study auto-regressive (AR) modeling is applied to TWR data after beamforming to enhance image quality. The results are compared with existing beam-space MUSIC and compressive sensing based methods in terms of target detectability.