DocumentCode
2161032
Title
Detection and segmentation of fmcw radar signals based on the chirplet transform
Author
Millioz, Fabien ; Davies, Michael E.
Author_Institution
Sch. of Eng. & Electron., Univ. of Edinburgh, Edinburgh, UK
fYear
2011
fDate
22-27 May 2011
Firstpage
1765
Lastpage
1768
Abstract
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.
Keywords
CW radar; FM radar; radar signal processing; signal detection; FMCW radar signal detection; FMCW radar signal segmentation; chirplet transform; frequency modulation continuous wave radars; linear frequency modulations; synthetic signal; Chirp; Estimation; Indexes; Radar detection; Time frequency analysis; Transforms; FMCW radar; LPI radar; chirplet transform; parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5946844
Filename
5946844
Link To Document