Golay complementary waveforms for sparse delay-Doppler radar imaging

Published

Journal Article

We present a new approach to radar imaging that exploits sparsity in the matched filter domain to enable high resolution imaging of targets in delay and Doppler. We show that the vector of radar cross-ambiguity values at any fixed test delay cell has a sparse representation in a Vandermonde frame that is obtained by discretizing the Doppler axis. The expansion coefficients are given by the auto-correlation functions of the transmitted waveforms. We show that the orthogonal matching pursuit (OMP) algorithm can then be easily used to identify the locations of the radar targets in delay and Doppler. Unambiguous imaging in delay is enabled by alternating between a Golay pair of phase coded waveforms at the transmission to eliminate delay sidelobe effects. We then extend our work to multi-channel radar, by developing a sparse recovery approach for dually-polarimetric radar. We exploit sparsity in a bank of matched filters, each of which is matched to an entry of an Alamouti matrix of Golay waveforms to recover a co-polar or cross-polar polarization scattering component. © 2009 IEEE.

Full Text

Duke Authors

Cited Authors

  • Chi, Y; Calderbank, R; Pezeshki, A

Published Date

  • December 1, 2009

Published In

  • Camsap 2009 2009 3rd Ieee International Workshop on Computational Advances in Multi Sensor Adaptive Processing

Start / End Page

  • 177 - 180

Digital Object Identifier (DOI)

  • 10.1109/CAMSAP.2009.5413308

Citation Source

  • Scopus