Detection and Segmentation of FMCW Radar Signals based on the Chirplet Transform

Fabien Millioz (1) , Michael E. Davies (2)

1 IDCOM - Institute for Digital Communications
2 IDCOM

In this paper we present a algorithm designed to detect and characterise the signal coming from Frequency Modulation Continuous Wave radars. The signals are made of linear frequency modulations. A few relevant coefficients of the chirplet transform are selected, and then gathered into chirps whose starting time, length, and chirprate are estimated. An example is provided on a synthetic signal.

Mots clés: LPI radar; FMCW radar; chirplet transform; parameter estimation

Domaines: Autre

Fabien Millioz, Michael E. Davies. Detection and Segmentation of FMCW Radar Signals based on the Chirplet Transform. Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, May 2011, Prague, Czech Republic. pp.1765 - 1768, ⟨10.1109/ICASSP.2011.5946844⟩. ⟨hal-00714381⟩