A time frequency approach to CFAR detection

Layeghy, S., Odabaee, M., Khlif, M.S. and Amindavar, H.R. (2011). A time frequency approach to CFAR detection. In: 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). 11th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2011), Bilbao, Spain, (230-234). 14-17 December 2011. doi:10.1109/ISSPIT.2011.6151565


Author Layeghy, S.
Odabaee, M.
Khlif, M.S.
Amindavar, H.R.
Title of paper A time frequency approach to CFAR detection
Conference name 11th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2011)
Conference location Bilbao, Spain
Conference dates 14-17 December 2011
Proceedings title 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
Journal name IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2011
Sub-type Fully published paper
DOI 10.1109/ISSPIT.2011.6151565
ISBN 9781467307529
9781467307512
Start page 230
End page 234
Total pages 5
Language eng
Abstract/Summary Simultaneous analysis of signals in time and frequency domains is a standard approach in many signal processing applications including some detection. Parameters of clutter, noise and interference, and in some cases Doppler specifications, are the basis for most of current CFAR target detection techniques. When these parameters are unknown, most of current detection methods do not perform well. In this paper, a detection approach is introduced using time-frequency (TF) signal analysis. The method is non-parametric and by analysis of the spectrogram of the input, the presence of target signal is localized in time domain. Then, the signal detection is achieved using an adaptive thresholding.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: School of Medicine Publications
 
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Created: Sat, 02 Feb 2013, 23:18:42 EST by Siamak Layeghy on behalf of School of Medicine