Title :
High resolution 2D time frequency representation of radar micro-Doppler pedestrian signal
Author :
Liaqat, Sidrah ; bin Ihsan, Mojeeb ; Asghar, S. Zeeshan ; Ejaz, Aqib ; Javed, Azhar
Author_Institution :
Coll. of Electr. & Mech. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
Abstract :
In this paper, a modified 2D time-frequency minimum variance spectral estimation method has been applied to non-stationary micro-Doppler signal of radar targets. Pulse Doppler radar has been employed to capture returns from targets possessing vibrating sub-parts which cause micro-Doppler phenomenon. The aim is to obtain a high resolution time-frequency representation of the acquired micro-Doppler radar signal for use in feature extraction for the purpose of automatic radar target recognition.
Keywords :
Doppler radar; feature extraction; radar signal processing; radar target recognition; automatic radar target recognition; feature extraction; high resolution 2D time frequency representation; microDoppler phenomenon; microDoppler radar signal; modified 2D time-frequency minimum variance spectral estimation method; nonstationary microDoppler signal; pulse doppler radar; radar microDoppler pedestrian signal; radar targets; Doppler effect; Doppler radar; Helicopters; Radar imaging; Signal resolution; Time-frequency analysis; 2D Capon spectral estimator; ATR; joint time-frequency; micro-Doppler;
Conference_Titel :
Radar Conference (EuRAD), 2013 European
Conference_Location :
Nuremberg
