TY - GEN
T1 - Parameter extraction of FMCW modulated radar signals using Wigner-Hough transform
AU - Gulum, Taylan Ozgur
AU - Erdogan, Ahmet Yasin
AU - Yildirim, Tulay
AU - Durak Ata, Lutfiye
PY - 2011
Y1 - 2011
N2 - In this study, an autonomous parameter extraction algorithm for frequency modulated continuous wave (FMCW) radar signals using Wigner-Hough transform is investigated. The algorithm can be applied to other low probability of intercept (LPI) radar waveforms as well. The proposed method uses the Pseudo-Wigner-Ville Distribution (PWVD) as a time-frequency (T-F) detection technique and Hough Transform (HT) to identify the parameters of the modulation. Using the images obtained by the PWVD, the algorithm derives the significant modulation parameters of FMCW waveforms by using the HT. Autonomously detecting and analyzing FMCW and other LPI modulations can eliminate the need for human intervention and enable near real-time detection and analysis of signal modulations. The extracted parameters can later be compared with existing emitter parameters in a database for identification.
AB - In this study, an autonomous parameter extraction algorithm for frequency modulated continuous wave (FMCW) radar signals using Wigner-Hough transform is investigated. The algorithm can be applied to other low probability of intercept (LPI) radar waveforms as well. The proposed method uses the Pseudo-Wigner-Ville Distribution (PWVD) as a time-frequency (T-F) detection technique and Hough Transform (HT) to identify the parameters of the modulation. Using the images obtained by the PWVD, the algorithm derives the significant modulation parameters of FMCW waveforms by using the HT. Autonomously detecting and analyzing FMCW and other LPI modulations can eliminate the need for human intervention and enable near real-time detection and analysis of signal modulations. The extracted parameters can later be compared with existing emitter parameters in a database for identification.
UR - https://www.scopus.com/pages/publications/84855916420
U2 - 10.1109/CINTI.2011.6108551
DO - 10.1109/CINTI.2011.6108551
M3 - Conference contribution
AN - SCOPUS:84855916420
SN - 9781457700453
T3 - 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings
SP - 465
EP - 468
BT - 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings
T2 - 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011
Y2 - 21 November 2011 through 22 November 2011
ER -