Title :
Passive radar target tracking using chirplet transform
Author :
FarhadZadeh, Farzad ; Amindavar, Hamidreza
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
Abstract :
In this paper, we utilize chirplet transformation to estimate the differential delays-Dopplers in an array of sensors. After chirplet modeling of the received signals from each sensor we use extended Kalman filtering (EKF) for tracking the targets by estimating the differential delays and differential Dopplers. This new approach is particularly useful in passive radar and sonar for target tracking. Chirplet modeling is crucial since the received signals are non-stationary in nature.
Keywords :
Doppler radar; Kalman filters; filtering theory; passive radar; radar tracking; sensor arrays; target tracking; transforms; Kalman filtering; chirplet transform; differential delays-Dopplers; passive radar target tracking; sensor arrays; Chirp modulation; Data mining; Delay estimation; Fourier transforms; Frequency estimation; Passive radar; Radar tracking; Sensor arrays; Sonar; Target tracking;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-2240-1
Electronic_ISBN :
978-1-4244-2241-8
DOI :
10.1109/SAM.2008.4606916