Title :
Surveillance radar target detection with the Fourier-Hough transform
Author :
Mohammadi, M. Malek ; Moqiseh, A. ; Nayebi, M.M.
Author_Institution :
Electr. Eng. Dept., Sharif Univ. of Technol., Tehran
Abstract :
In a typical surveillance radar, decision about the existence of a target in certain range-azimuth-elevation cell is made from the echo received in current scan, while still there is useful information in history of that range cell that is not considered in decision making. Based on the potential of the Hough transform to use history of both range and Doppler information, a new method to increase the probability of detection in surveillance radars is proposed. The new method uses a 3D data space and a special projection to detect targets and extract range, speed, and acceleration of maneuvering targets simultaneously.
Keywords :
Doppler radar; Fourier transforms; Hough transforms; decision making; probability; radar detection; radar tracking; search radar; target tracking; Doppler information; Fourier-Hough transform; decision making; range-azimuth-elevation cell; surveillance radar detection probability; surveillance radar target detection; Data mining; Doppler radar; Fourier transforms; History; Object detection; Radar detection; Radar tracking; Spaceborne radar; Surveillance; Target tracking;
Conference_Titel :
Radar Symposium, 2008 International
Conference_Location :
Wroclaw
Print_ISBN :
978-83-7207-757-8
DOI :
10.1109/IRS.2008.4585726