Title :
The information extraction algorithm for a traffic detection radar using ISAR principle
Author :
Tao, Manyi ; Li, Yong
Author_Institution :
Coll. of Inf. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
As a wireless sensor, the traffic detection radar (TDR) is recently a new application at civilian areas. The system can provide various types of real-time information about the moving entities day-and-night in all weather conditions. However, the price to realize the accurate information extraction from the echo signals is an efficient mathematic algorithm. In this paper, the date acquisition model of the TDR based on ISAR principle is firstly established. Then, the velocity measurement and length estimation algorithm using the minimum entropy criterion is presented. The experimental results of a prototype radar system are given to demonstrate the validity of the proposed methodology.
Keywords :
minimum entropy methods; radar detection; synthetic aperture radar; ISAR principle; echo signals; information extraction algorithm; inverse synthetic aperture radar; length estimation algorithm; minimum entropy criterion; traffic detection radar; velocity measurement; wireless sensor; Data mining; Doppler radar; Entropy; Extraterrestrial measurements; Intelligent sensors; Parameter estimation; Radar applications; Radar detection; Radar measurements; Velocity measurement; Doppler parameter estimation; Information extraction algorithm; Inverse synthetic aperture radar (ISAR); Traffic detection radar (TDR);
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374108